cslt Wiki - 用户贡献 [zh-cn]

NLP Status Report 2017-6-26

2017-06-26T05:04:09Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/6/26
|Jiyuan Zhang ||
||
|-
|Aodong LI ||
*GRE style-based translation:
use direct replacement to do post edit
use RNNLM to distinguish similar words and then do replacement
*All these methods seem to fall short of part of speech and semantics
||
* figure out new ways to distinguish similar word pairs with consideration of semantics
|-
|Shiyue Zhang ||
* share a paper
* deliver the first version of NMT code
||

|-
|Shipan Ren ||

||

|-

|}

Weekly meeting

2017-06-24T01:08:14Z

Zhangsy：

*Location: FIT-1-304
*Time: Monday, 7:00 PM

{| class="wikitable"
! Date !! Speaker!! Title !! Materials !! On duty
|-
| 2012/08/27 ||Dong Wang || Heterogeneous Convolutive Non-negative Sparse Coding ||[[媒体文件:Heterogeneous_convolutive_non-negative_sparse_coding.pdf|slides]] [http://homepages.inf.ed.ac.uk/v1dwang2/public/pdf/inerspeech2012-hetero.pdf paper] ||
|-
|2012/09/03 ||NO Meeting|| || ||
|-
|2012/09/10 || NO Meeting|| || ||
|-
|2012/09/17 ||WALEED ABDULLA||Auditory Based Feature Vectors for Speech Recognition ||[[媒体文件:AuditoryBasedFeatureVectors.pdf|slides]]||范淼
|-
| rowspan="2"|2012/09/24 ||刘超|| N-gram FST indexing for Spoken Term Detection || [[媒体文件:120924-N_gram_FST_indexing_for_Spoken_Term_Detection-LC-0.pdf|slides]] ||尹聪
|-
|范淼||Micro-blogging, Wikipedia, Folksonomy, What's Next? ||[[媒体文件:120924-Micro-blogging, Wikipedia, Folksonomy, What's Next-FM--01-FM-.pdf|slides]] ||
|-
| 2012/10/08 ||NO Meeting|| || ||
|-
| 2012/10/15 ||NO Meeting|| || ||
|-
|2012/10/22||Wu Xiaojun||speaker recognition in CSLT ||[[媒体文件:VPR_in_CSLT.pdf|slides]]||卡尔
|-
| rowspan="1"|2012/10/29 ||王军||An overview of Automatic Speaker Diarization Systems || [[媒体文件:121027-Speaker Diarization-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2012/11/05 ||别凡虎||Experiments on Emotional Speaker Recognition||[[媒体文件:121104-Experiments_on_Emotional_Speaker_Recognition-BFH.pdf|slides]] ||刘超
|-
| rowspan="1"|2012/11/12 ||唐国瑜||Statistical Word Sense Improves Document Clustering ||[[媒体文件:121112_Statistical_Word_Sense_Improves_Document_Clustering_TGY.pdf‎ |slides]]||邱晗
|-
| rowspan="1"|2012/11/19 ||张陈昊||TDSR with Long-term Features Based on Functional Data Analysis||[[媒体文件:121118-ISCSLP-FDA_SR-ZCH.pdf|slides]] ||王俊俊
|-
| rowspan="1"|2012/11/26 ||王琳琳||Time-Varying Speaker Recognition: An Introduction||[[媒体文件:121126-Time_Varying_Speaker_Recognition_I-Wll.pdf‎|slides]] ||龚宬
|-
| rowspan="1"|2012/12/03 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/10 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/17 ||No meeting|| || ||

|-
| rowspan="1"|2012/01/07 || || || ||
|-
|2012/01/07 ||王军||基于DF-MAP的说话人模型训练方法||[[媒体文件:130107-基于DFMAP的说话人模型训练方法-WJ.pdf|slides]] ||唐国瑜
|-
| rowspan="1"|2012/01/14 ||王东|| Computing in CSLT ||[[媒体文件:Computing_in_CSLT.pdf|slides]] ||王琳琳
|-

|-
| rowspan="1"|2013/03/04 ||王军||Sequential Adaptive Learning for Speaker Verification ||[[媒体文件:130301-Sequential adaptive learning for speaker verification-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2013/03/11 || Du Jinle|| VAD stuff || ||
|-
| rowspan="1"|2013/03/18 || || || ||
|-
| rowspan="1"|2013/03/25 || || || ||
|-
| rowspan="1"|2013/04/01 || || || ||
|-
| rowspan="1"|2013/04/08 || 张陈昊|| A Fishervoice based Feature Fusion Method for SUSR ||[[媒体文件:130408-FisherVoice-ZCH.pdf|slides]] ||谢仲达
|-
| rowspan="1"|2013/04/15 ||龚宬|| An Exploration on Influence Factors of VAD's Performance in Speaker Recognition ||[[媒体文件:130415-An_Exploration_on_Influence_Factors_of_VAD-GC.pdf|slides]] ||
|-
| rowspan="1"|2013/04/22 ||王俊俊 || Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task ||[[媒体文件:130422-Understanding_the_Query-WJJ.pdf|slides‎]] ||
|-
| rowspan="1"|2013/04/29 || || || ||
|-
| rowspan="1"|2013/05/06 ||别凡虎 ||MLLR on Emotional Speaker Recognition ||[[媒体文件:130506-MLLR on Emotional Speaker Recognition-BFH.pdf|slides]] ||
|-
| rowspan="1"|2013/05/13 ||刘超 || The Use of Deep Neural Network for Speech Recognition || [[媒体文件:130513-the_use_of_dnn_for_asr-lc.pdf|slides]] ||
|-
| rowspan="1"|2013/05/20 || || || ||
|-
| rowspan="1"|2013/05/27 ||王琳琳|| 说话人识别中的时变鲁棒性问题研究 || [[媒体文件:130527-TVSV-Wll.pdf|slides]] ||
|-
| rowspan="1"|2013/06/03 ||王俊俊|| 汉语搜索结果聚类系统研究与实现 || [[媒体文件:130601-毕业答辩-02-WJJ.pdf|slides]] ||
|-
| rowspan="1"|2013/06/10 || || || ||
|-
| rowspan="1"|2013/06/17 ||范淼 || Relation Extraction ||[[媒体文件:130617-relation_extraction-fm.pdf|slides]] ||
|-
| rowspan="1"|2013/06/24 ||唐国瑜 || Incorporating Statistical Word Senses in Topic Model ||[[媒体文件:130624_Incorporating Statistical Word Senses in Topic Model_TGY.pdf|slides]] ||
|-
| rowspan="1"|2013/07/01 || || || ||
|-
| rowspan="1"|2013/07/08 || || || ||
|-
| rowspan="1"|2013/07/15 || || || ||
|-
| rowspan="1"|2013/09/09 ||王东 || Research Frontier in Speech Technology||[[媒体文件:Research Frontier in Speech Technology.pdf|slides]] ||
|-
| rowspan="1"|2013/09/16 || || || ||
|-
| rowspan="1"|2013/09/23 || || || ||
|-
| rowspan="1"|2013/09/30 || || || ||
|-
| rowspan="1"|2013/10/07 || || || ||
|-
| rowspan="1"|2013/10/14 || || || ||
|-
| rowspan="1"|2013/10/21 ||范淼 ||Transduction Classification with Matrix Completion （中文报告）||[[媒体文件: Transduction_Classifiction_with_Matrix_Completion.pdf‎|slides]] [http://pages.cs.wisc.edu/~jerryzhu/pub/mc4ssl_FINAL.pdf paper]|| 李蓝天
|-
| rowspan="1"|2013/10/28 || || || ||
|-
| rowspan="1"|2013/11/04 || 王军 || 基于i-vector的intersession补偿及打分方法(综述) || [[媒体文件:131104-ivecto下intersession补偿及打分方法--01-WJ-.pdf‎|slides]]||
|-
| rowspan="1"|2013/11/11 ||张陈昊 ||PLDA介绍及PLDA在说话人识别中的应用 ||[[媒体文件:PLDA.pdf|slides]] || 唐国瑜
|-
| rowspan="1"|2013/11/18 ||别凡虎 ||i-vector理论介绍（讨论）||[[媒体文件:131118-i-vector_and_GMM-UBM-BFH.pdf|slides]]‎ ||王军
|-
| rowspan="1"|2013/11/25 ||刘超 || Pruning Neural Networks By Optimal Brain Damage(综述)||[[媒体文件:131125-OBD-LC-01.pdf|slides]] ||范淼
|-
| rowspan="1"|2013/12/02 ||范淼 ||Distant Supervision for Relation Extraction with Matrix Completion （英文报告）||[[媒体文件:131202-DRMC-FM-01.pdf|slides]] || 李蓝天
|-
| rowspan="1"|2013/12/09 || Dong Wang|| Introduction to the HMM-based speech synthesis||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/16 ||张陈昊 ||语音研究中的基元介绍 ||[[媒体文件:131215-Phonology-ZCH.pdf|slides]] ||
|-
| rowspan="1"|2013/12/23 || Dong Wang|| Introduction to the HMM-based speech synthesis (2)||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/23 || || || ||
|-
| rowspan="1"|2013/12/30 ||刘荣 || continuous space language model||[[媒体文件:Cslm-cslt.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/01/06 || || || ||
|-
| rowspan="1"|2014/01/13 || || || ||
|-
| rowspan="1"|2014/01/20 || || || ||
|-
| rowspan="1"|2014/02/24 || || || ||
|-
| rowspan="1"|2014/03/03 || || || ||
|-
| rowspan="1"|2014/03/10 ||范淼|| Distant Supervision for Information Extraction (英文报告)|| || 李蓝天
|-
| rowspan="1"|2014/03/17 ||唐国瑜 || Topic Models Incorporating Statistical Word Senses || [[媒体文件:TMISWS_For_CICLing2014.pdf|slides]]||
|-
| rowspan="1"|2014/03/24 ||孟祥涛 || Noisy training for Deep Neural Networks|| ||
|-
| rowspan="1"|2014/03/31 ||范淼|| Translating Embeddings for Modeling Multi-relational Data （中文报告） || [https://www.hds.utc.fr/everest/lib/exe/fetch.php?id=en%3Atranse&cache=cache&media=en:cr_paper_nips13.pdf paper]||李蓝天
|-
| rowspan="1"|2014/04/07 || || || ||
|-
| rowspan="1"|2014/04/14 || Wang Jun|| I-vector and PLDA in depth ||[[媒体文件:131104-ivector-microsoft-wj.pdf|slides]] ||
|-
| rowspan="1"|2014/04/21 || 邱晗||汉语事件句式规范化处理 ||[[媒体文件:140421-汉语事件句式规范化-QH.pdf‎|slides]] ||
|-
| rowspan="1"|2014/04/28 || 唐国瑜|| Some papers in　CICLing2014 ||[[媒体文件:Some_papers_in_CICling2014.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/05/05 || || || ||
|-
| rowspan="1"|2014/05/12 || 卡尔|| paper introduction || [[媒体文件:Acoustic Factor Analysis.pdf|slides]] || 邱晗
|-
| rowspan="2"|2014/05/19 || 邱晗|| 汉语事件句式CCG推导树重构 ||[[媒体文件:140519-CCG_reConstruction.pdf‎|slides]]‎|| 卡尔
|-
|Liu Chao|| master proposal: sparse and deep neural networks || [[媒体文件:140519-proposal-LC-01.pdf|slides]] ||
|-
| rowspan="1"| || Liu Chao|| 2nd master proposal: sparse and deep neural networks|| ||
|-
| rowspan="1"|2014/06/16 || 别凡虎 || Truncated Wave based VPR and Some Recent Work || [[媒体文件:140614-Truncated_Speech_based_VPR.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"|2014/06/23 || 别凡虎 || Block-wise training for I-vector || [[媒体文件:140623-Block-wise training for I-vector.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"| 2014/07/07||王军 ||Discriminative Scoring for Speaker Recognition Based on I-vectors || [[媒体文件:140707-work_report.pdf|slides]]|| 王军
|-
| rowspan="1"| 2014/09/01|| || || ||
|-
| rowspan="1"|2014/09/09 ||别凡虎 ||Reseach on Truncated Wave based VPR||[[媒体文件:140909-Truncated Speech based VPR.pdf|slides]] || 别凡虎
|-
| rowspan="1"| 2014/09/15|| || || ||
|-
| rowspan="1"|2014/09/22 || Miao Fan|| Large-scale Entity Relation Extraction based on Low-dimensional Representations (中文报告，博士开题)
||[[媒体文件:基于低维表示的大规模实体关系挖掘技术.pdf‎|slides]] || Lan TianLi
|-
| rowspan="1"| 2014/09/29 || || || ||
|-
| rowspan="1"|2014/10/13 || Miao Fan|| The Frontier of Knowledge Embedding （英文报告）|| [[媒体文件:The_Frontier_of_Knowledge_Embedding.pdf‎|slides]]|| Lan TianLi
|-
| rowspan="1"|2014/10/20 || || || ||
|-
| rowspan="1"|2014/10/27 || Li Yi || Phonemes, Features, and Syllables: Converting Onset and Rime Inventories to Consonants and Vowels||[[媒体文件:Lanzhou Phonemes, Features, and Syllables- fianl.pdf|paper]] [[媒体文件:Syllables and phonemes - 20141027.pdf|slides]]||
|-
| rowspan="1"|2014/11/3 || 米吉提|| Automatic Speech Recognition of Agglutinative Language based on Lexicon Optimization||[[媒体文件:Mijit-slides-清华大学-2014-11-3.pdf|slides]] ||
|-
| rowspan="1"|2014/11/10 || || || ||
|-
| rowspan="1"|2014/11/17 ||Dong Wang || Highly restricted keyword spotting for Uyghur using sparse analysis|| [[媒体文件:Highly Restricted Keyword Selection Based on Sparse Analysis.pdf|slides]]||
|-
| rowspan="1"|2014/11/24 || || || ||
|-
| rowspan="1"|2014/12/1 ||ZhongDa Xie ||Incorporating Fine-Grained Ontological Relations in Medical Document Ranking || [[媒体文件:Fine-grained_relations.pdf|slides]]|| Lantian Li
|-
| rowspan="1"|2014/12/8 || || || ||
|-
| rowspan="1"|2014/12/15 || 唐国瑜 || 跨语言话题分析关键技术研究 ||[[媒体文件:141205-答辩-TGY.pdf|slides]] ||
|-
| rowspan="1"|2014/12/22 || || || ||
|-
| rowspan="1"|2014/12/29 || Askar || Language Mismatch in Speaker Recognition System||[[媒体文件:141229--askar.pdf|slides]] ||
|-
| rowspan="1"|2015/1/5 ||Lantian Li || Deep Neural Networks for Speaker Recognition || [[媒体文件:150104_Deep_Neural_Networks_for_Speaker_Recognition_LLT.pdf|slides]]||
|-
| rowspan="1"|2015/1/12 || || || ||
|-
| rowspan="1"|2015/1/19 || Dong Wang || Machine Learning Paradigms for Speech Recognition||[[媒体文件:Machine Learning Paradigms for Speech Recognition.pdf|slides]] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6423821 paper] ||
|-
| rowspan="1"|2015/1/26 || Chen Guorong || Information Transmission and Distribution on Web ||[[媒体文件:An_introduction_of_complex_network1.pdf|slides]] ||
|-
| rowspan="1" |2015/3/9 || Dong Wang || Joint Deep Learning || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/3/16 || Dongxu Zhang || Knowledge learning from text data and knowledge bases || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/4/13 || Xuewei Zhang || Lasso-based Reverberation Suppression In Automatic Speech Recognition || [[媒体文件:Lasso-based Reverberation Suppression In Automatic Speech Recognition.pdf|slides]] ||
|-
| rowspan="1"|2015/5/11 || Dong Wang ||ASR and SID Research Frontier ||[[媒体文件:ASR and SID Research Frontier.pdf|slides]] ||
|-
| rowspan="1"|2015/11/23 || Zhiyuan Tang|| CTC learning|| [[媒体文件:CTC.pdf|slides]] ||
|-
| rowspan="1"|2015/11/30 || Mengyuan Zhao|| CNN-based music removal|| [[媒体文件:Music Removal by Convolutional Denoising.pdf | slides]] ||
|-
| rowspan="1"|2015/12/3 || Zhiyuan Tang|| Networks of Memory|| [[媒体文件:Memory_net.pdf|slides]] ||
|-
| rowspan="1"|2015/12/7 || Yiqiao Pan|| Document Classification with Spherical Word Vectors||[[媒体文件:Document Classification with Spherical Word Vectors.pdf|slides]] ||
|-
| rowspan="1"|2015/12/14 || Dong Wang || Transfer Learning for Speech and Language Processing ||[[媒体文件:Transfer_Learning_for_Speech_and_Language_Processing.pdf|slides]] ||
|-
| rowspan="1"|2015/12/21 || Qixin Wang || Attention for poem generation ||[[媒体文件:Ijcai 2016.pptx|slides]] ||
|-
| rowspan="1"|2015/12/28 || Lantian Li || Max-margin metric learning for speaker recognition || [[媒体文件:Max-margin-Metric-Learning.pdf|slides]]||
|-
| rowspan="1"|2016/1/4 || Zhiyong Zhang || Parallel training,MPE and natural gradient||[[媒体文件:20160104_张之勇_Large-scale Parallel Training in Speech Recognition.pdf|slides]]||
|-
| rowspan="1"|2016/1/18 || Dongxu Zhang || Memoryless Document Vector ||[[媒体文件:Memoryless_document_vector.pdf|slides]]||
|-
| rowspan="1"|2016/3/14 || Zhiyuan Tang|| Oral presentation for "vMF-SNE: Embedding for Spherical Data"|| [[媒体文件:embedding.pdf|slides]] ||
|-
| rowspan="1"|2016/3/28 || Tianyi Luo || Review for Neural QA || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/29/CSLT_Weekly_Report--20160328.pdf slides] ||
|-
| rowspan="1"|2016/4/11 || Rong Liu || Recommendation in Youku || [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Cslt%E5%AE%9E%E9%AA%8C%E5%AE%A4%E4%BA%A4%E6%B5%81.pptx slides] ||
|-
| rowspan="1"|2016/5/09 || Miao Fan || Learning contextual embeddings of knowledge base with entity descriptions.|| [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/9c/Techreport_CSLT_2016_M.F..pdf slides] ||
|-
| rowspan="1"|2016/5/16 || Yang Wang || Research on conversation thread detection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%AA%E6%B4%8B-%E6%AF%95%E8%AE%BE-CSLT.pdf slides] ||
|-
| rowspan="1"|2016/5/20 || Yang Wang & Maoning Wang || Research on portfolio selection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/89/%E6%B1%AA%E6%B4%8B-%E9%87%91%E8%9E%8D%E7%AC%AC%E4%B8%80%E6%AC%A1%E5%88%86%E4%BA%AB.pdf slides1] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%87%E6%8A%A5_%E8%B5%84%E4%BA%A7%E7%BB%84%E5%90%88%E4%B8%AD%E5%87%A0%E4%B8%AA%E8%AF%84%E4%BB%B7%E6%8C%87%E6%A0%87%E7%9A%84%E8%A7%A3%E9%87%8A.pdf slides2]||
|-
| rowspan="1"|2016/5/20 || Zhiyuan Tang || ICASSP 2016 summary || [[媒体文件:Note icassp16.pdf|slides]] ||
|-
| rowspan="1"|2016/5/23 || Dong Wang || graphical model and neural model || [[媒体文件:Graphic Model and Neural Model.pdf|slides]] [[媒体文件:Generative-Pdf.rar|papers]] ||
|-
| rowspan="1"|2016/8/02 || Zhiyuan Tang || Visualizing, Measuring and Understanding Neural Networks: A Brief Survey|| [[媒体文件:Nn analysis.pdf|slides]] ||
|-
| rowspan="1"|2016/8/03 || Yang Wang || Neural networks and genetic programming for financial forecasting || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/79/GeneticNN.pdf slides] ||
|-
| rowspan="1"|2016/11/05 || Yang Wang || Reinforcement Learning Models and Simulations || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/ca/RRL_and_sim.pdf slides] ||
|-
| rowspan="1"|2016/11/08 || April Pu || SOFTWARE DEVELIPMENT METHODOLOGIES || [http://wangd.cslt.org/talks/pdf/april_software.pptx slides] ||
|-
| rowspan="1"|2016/11/12 || Yang Wang || Generative Adversarial Nets || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c9/Generative_adversarial_network.pdf slides] ||
|-
| rowspan="1"|2016/11/22 || Zhiyuan Tang || INTERSPEECH 2016 summary || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/65/Interspeech16_review.pdf slides] ||
|-
| rowspan="1"|2016/11/30 || Dong Wang || Deep and sparse learning in speech and language: an overview || [http://wangd.cslt.org/talks/pdf/bics2016.pptx slides] ||
|-
| rowspan="1"|2017/2/17 || Yang Wang || Review understanding deep learning requires rethinking generalization || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Review_understanding_deep_learning_requires_rethinking_generalization.pdf slides] ||
|-
| rowspan="1"|2017/6/5 || Dong Wang || Deep speech factorization || [http://wangd.cslt.org/talks/pdf/Deep-Speech-Factorization.pdf slides] ||
|-
| rowspan="1"|2017/6/8 || Shiyue Zhang || Convolutional Sequence to Sequence Learning || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f3/Conv_seq2seq.pptx slides] ||
|-
| rowspan="1"|2017/6/12 || Shiyue Zhang || Memory-augmented Neural Machine Translation || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/36/Memory-augmented_Neural_Machine_Translation_.pptx slides] ||
|-
| rowspan="1"|2017/6/21 || Shiyue Zhang || Attention Is All You Need || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Attention_is_all_you_need.pptx slides] ||
|-
|}

Weekly meeting

2017-06-24T01:07:05Z

Zhangsy：

*Location: FIT-1-304
*Time: Monday, 7:00 PM

{| class="wikitable"
! Date !! Speaker!! Title !! Materials !! On duty
|-
| 2012/08/27 ||Dong Wang || Heterogeneous Convolutive Non-negative Sparse Coding ||[[媒体文件:Heterogeneous_convolutive_non-negative_sparse_coding.pdf|slides]] [http://homepages.inf.ed.ac.uk/v1dwang2/public/pdf/inerspeech2012-hetero.pdf paper] ||
|-
|2012/09/03 ||NO Meeting|| || ||
|-
|2012/09/10 || NO Meeting|| || ||
|-
|2012/09/17 ||WALEED ABDULLA||Auditory Based Feature Vectors for Speech Recognition ||[[媒体文件:AuditoryBasedFeatureVectors.pdf|slides]]||范淼
|-
| rowspan="2"|2012/09/24 ||刘超|| N-gram FST indexing for Spoken Term Detection || [[媒体文件:120924-N_gram_FST_indexing_for_Spoken_Term_Detection-LC-0.pdf|slides]] ||尹聪
|-
|范淼||Micro-blogging, Wikipedia, Folksonomy, What's Next? ||[[媒体文件:120924-Micro-blogging, Wikipedia, Folksonomy, What's Next-FM--01-FM-.pdf|slides]] ||
|-
| 2012/10/08 ||NO Meeting|| || ||
|-
| 2012/10/15 ||NO Meeting|| || ||
|-
|2012/10/22||Wu Xiaojun||speaker recognition in CSLT ||[[媒体文件:VPR_in_CSLT.pdf|slides]]||卡尔
|-
| rowspan="1"|2012/10/29 ||王军||An overview of Automatic Speaker Diarization Systems || [[媒体文件:121027-Speaker Diarization-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2012/11/05 ||别凡虎||Experiments on Emotional Speaker Recognition||[[媒体文件:121104-Experiments_on_Emotional_Speaker_Recognition-BFH.pdf|slides]] ||刘超
|-
| rowspan="1"|2012/11/12 ||唐国瑜||Statistical Word Sense Improves Document Clustering ||[[媒体文件:121112_Statistical_Word_Sense_Improves_Document_Clustering_TGY.pdf‎ |slides]]||邱晗
|-
| rowspan="1"|2012/11/19 ||张陈昊||TDSR with Long-term Features Based on Functional Data Analysis||[[媒体文件:121118-ISCSLP-FDA_SR-ZCH.pdf|slides]] ||王俊俊
|-
| rowspan="1"|2012/11/26 ||王琳琳||Time-Varying Speaker Recognition: An Introduction||[[媒体文件:121126-Time_Varying_Speaker_Recognition_I-Wll.pdf‎|slides]] ||龚宬
|-
| rowspan="1"|2012/12/03 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/10 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/17 ||No meeting|| || ||

|-
| rowspan="1"|2012/01/07 || || || ||
|-
|2012/01/07 ||王军||基于DF-MAP的说话人模型训练方法||[[媒体文件:130107-基于DFMAP的说话人模型训练方法-WJ.pdf|slides]] ||唐国瑜
|-
| rowspan="1"|2012/01/14 ||王东|| Computing in CSLT ||[[媒体文件:Computing_in_CSLT.pdf|slides]] ||王琳琳
|-

|-
| rowspan="1"|2013/03/04 ||王军||Sequential Adaptive Learning for Speaker Verification ||[[媒体文件:130301-Sequential adaptive learning for speaker verification-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2013/03/11 || Du Jinle|| VAD stuff || ||
|-
| rowspan="1"|2013/03/18 || || || ||
|-
| rowspan="1"|2013/03/25 || || || ||
|-
| rowspan="1"|2013/04/01 || || || ||
|-
| rowspan="1"|2013/04/08 || 张陈昊|| A Fishervoice based Feature Fusion Method for SUSR ||[[媒体文件:130408-FisherVoice-ZCH.pdf|slides]] ||谢仲达
|-
| rowspan="1"|2013/04/15 ||龚宬|| An Exploration on Influence Factors of VAD's Performance in Speaker Recognition ||[[媒体文件:130415-An_Exploration_on_Influence_Factors_of_VAD-GC.pdf|slides]] ||
|-
| rowspan="1"|2013/04/22 ||王俊俊 || Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task ||[[媒体文件:130422-Understanding_the_Query-WJJ.pdf|slides‎]] ||
|-
| rowspan="1"|2013/04/29 || || || ||
|-
| rowspan="1"|2013/05/06 ||别凡虎 ||MLLR on Emotional Speaker Recognition ||[[媒体文件:130506-MLLR on Emotional Speaker Recognition-BFH.pdf|slides]] ||
|-
| rowspan="1"|2013/05/13 ||刘超 || The Use of Deep Neural Network for Speech Recognition || [[媒体文件:130513-the_use_of_dnn_for_asr-lc.pdf|slides]] ||
|-
| rowspan="1"|2013/05/20 || || || ||
|-
| rowspan="1"|2013/05/27 ||王琳琳|| 说话人识别中的时变鲁棒性问题研究 || [[媒体文件:130527-TVSV-Wll.pdf|slides]] ||
|-
| rowspan="1"|2013/06/03 ||王俊俊|| 汉语搜索结果聚类系统研究与实现 || [[媒体文件:130601-毕业答辩-02-WJJ.pdf|slides]] ||
|-
| rowspan="1"|2013/06/10 || || || ||
|-
| rowspan="1"|2013/06/17 ||范淼 || Relation Extraction ||[[媒体文件:130617-relation_extraction-fm.pdf|slides]] ||
|-
| rowspan="1"|2013/06/24 ||唐国瑜 || Incorporating Statistical Word Senses in Topic Model ||[[媒体文件:130624_Incorporating Statistical Word Senses in Topic Model_TGY.pdf|slides]] ||
|-
| rowspan="1"|2013/07/01 || || || ||
|-
| rowspan="1"|2013/07/08 || || || ||
|-
| rowspan="1"|2013/07/15 || || || ||
|-
| rowspan="1"|2013/09/09 ||王东 || Research Frontier in Speech Technology||[[媒体文件:Research Frontier in Speech Technology.pdf|slides]] ||
|-
| rowspan="1"|2013/09/16 || || || ||
|-
| rowspan="1"|2013/09/23 || || || ||
|-
| rowspan="1"|2013/09/30 || || || ||
|-
| rowspan="1"|2013/10/07 || || || ||
|-
| rowspan="1"|2013/10/14 || || || ||
|-
| rowspan="1"|2013/10/21 ||范淼 ||Transduction Classification with Matrix Completion （中文报告）||[[媒体文件: Transduction_Classifiction_with_Matrix_Completion.pdf‎|slides]] [http://pages.cs.wisc.edu/~jerryzhu/pub/mc4ssl_FINAL.pdf paper]|| 李蓝天
|-
| rowspan="1"|2013/10/28 || || || ||
|-
| rowspan="1"|2013/11/04 || 王军 || 基于i-vector的intersession补偿及打分方法(综述) || [[媒体文件:131104-ivecto下intersession补偿及打分方法--01-WJ-.pdf‎|slides]]||
|-
| rowspan="1"|2013/11/11 ||张陈昊 ||PLDA介绍及PLDA在说话人识别中的应用 ||[[媒体文件:PLDA.pdf|slides]] || 唐国瑜
|-
| rowspan="1"|2013/11/18 ||别凡虎 ||i-vector理论介绍（讨论）||[[媒体文件:131118-i-vector_and_GMM-UBM-BFH.pdf|slides]]‎ ||王军
|-
| rowspan="1"|2013/11/25 ||刘超 || Pruning Neural Networks By Optimal Brain Damage(综述)||[[媒体文件:131125-OBD-LC-01.pdf|slides]] ||范淼
|-
| rowspan="1"|2013/12/02 ||范淼 ||Distant Supervision for Relation Extraction with Matrix Completion （英文报告）||[[媒体文件:131202-DRMC-FM-01.pdf|slides]] || 李蓝天
|-
| rowspan="1"|2013/12/09 || Dong Wang|| Introduction to the HMM-based speech synthesis||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/16 ||张陈昊 ||语音研究中的基元介绍 ||[[媒体文件:131215-Phonology-ZCH.pdf|slides]] ||
|-
| rowspan="1"|2013/12/23 || Dong Wang|| Introduction to the HMM-based speech synthesis (2)||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/23 || || || ||
|-
| rowspan="1"|2013/12/30 ||刘荣 || continuous space language model||[[媒体文件:Cslm-cslt.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/01/06 || || || ||
|-
| rowspan="1"|2014/01/13 || || || ||
|-
| rowspan="1"|2014/01/20 || || || ||
|-
| rowspan="1"|2014/02/24 || || || ||
|-
| rowspan="1"|2014/03/03 || || || ||
|-
| rowspan="1"|2014/03/10 ||范淼|| Distant Supervision for Information Extraction (英文报告)|| || 李蓝天
|-
| rowspan="1"|2014/03/17 ||唐国瑜 || Topic Models Incorporating Statistical Word Senses || [[媒体文件:TMISWS_For_CICLing2014.pdf|slides]]||
|-
| rowspan="1"|2014/03/24 ||孟祥涛 || Noisy training for Deep Neural Networks|| ||
|-
| rowspan="1"|2014/03/31 ||范淼|| Translating Embeddings for Modeling Multi-relational Data （中文报告） || [https://www.hds.utc.fr/everest/lib/exe/fetch.php?id=en%3Atranse&cache=cache&media=en:cr_paper_nips13.pdf paper]||李蓝天
|-
| rowspan="1"|2014/04/07 || || || ||
|-
| rowspan="1"|2014/04/14 || Wang Jun|| I-vector and PLDA in depth ||[[媒体文件:131104-ivector-microsoft-wj.pdf|slides]] ||
|-
| rowspan="1"|2014/04/21 || 邱晗||汉语事件句式规范化处理 ||[[媒体文件:140421-汉语事件句式规范化-QH.pdf‎|slides]] ||
|-
| rowspan="1"|2014/04/28 || 唐国瑜|| Some papers in　CICLing2014 ||[[媒体文件:Some_papers_in_CICling2014.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/05/05 || || || ||
|-
| rowspan="1"|2014/05/12 || 卡尔|| paper introduction || [[媒体文件:Acoustic Factor Analysis.pdf|slides]] || 邱晗
|-
| rowspan="2"|2014/05/19 || 邱晗|| 汉语事件句式CCG推导树重构 ||[[媒体文件:140519-CCG_reConstruction.pdf‎|slides]]‎|| 卡尔
|-
|Liu Chao|| master proposal: sparse and deep neural networks || [[媒体文件:140519-proposal-LC-01.pdf|slides]] ||
|-
| rowspan="1"| || Liu Chao|| 2nd master proposal: sparse and deep neural networks|| ||
|-
| rowspan="1"|2014/06/16 || 别凡虎 || Truncated Wave based VPR and Some Recent Work || [[媒体文件:140614-Truncated_Speech_based_VPR.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"|2014/06/23 || 别凡虎 || Block-wise training for I-vector || [[媒体文件:140623-Block-wise training for I-vector.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"| 2014/07/07||王军 ||Discriminative Scoring for Speaker Recognition Based on I-vectors || [[媒体文件:140707-work_report.pdf|slides]]|| 王军
|-
| rowspan="1"| 2014/09/01|| || || ||
|-
| rowspan="1"|2014/09/09 ||别凡虎 ||Reseach on Truncated Wave based VPR||[[媒体文件:140909-Truncated Speech based VPR.pdf|slides]] || 别凡虎
|-
| rowspan="1"| 2014/09/15|| || || ||
|-
| rowspan="1"|2014/09/22 || Miao Fan|| Large-scale Entity Relation Extraction based on Low-dimensional Representations (中文报告，博士开题)
||[[媒体文件:基于低维表示的大规模实体关系挖掘技术.pdf‎|slides]] || Lan TianLi
|-
| rowspan="1"| 2014/09/29 || || || ||
|-
| rowspan="1"|2014/10/13 || Miao Fan|| The Frontier of Knowledge Embedding （英文报告）|| [[媒体文件:The_Frontier_of_Knowledge_Embedding.pdf‎|slides]]|| Lan TianLi
|-
| rowspan="1"|2014/10/20 || || || ||
|-
| rowspan="1"|2014/10/27 || Li Yi || Phonemes, Features, and Syllables: Converting Onset and Rime Inventories to Consonants and Vowels||[[媒体文件:Lanzhou Phonemes, Features, and Syllables- fianl.pdf|paper]] [[媒体文件:Syllables and phonemes - 20141027.pdf|slides]]||
|-
| rowspan="1"|2014/11/3 || 米吉提|| Automatic Speech Recognition of Agglutinative Language based on Lexicon Optimization||[[媒体文件:Mijit-slides-清华大学-2014-11-3.pdf|slides]] ||
|-
| rowspan="1"|2014/11/10 || || || ||
|-
| rowspan="1"|2014/11/17 ||Dong Wang || Highly restricted keyword spotting for Uyghur using sparse analysis|| [[媒体文件:Highly Restricted Keyword Selection Based on Sparse Analysis.pdf|slides]]||
|-
| rowspan="1"|2014/11/24 || || || ||
|-
| rowspan="1"|2014/12/1 ||ZhongDa Xie ||Incorporating Fine-Grained Ontological Relations in Medical Document Ranking || [[媒体文件:Fine-grained_relations.pdf|slides]]|| Lantian Li
|-
| rowspan="1"|2014/12/8 || || || ||
|-
| rowspan="1"|2014/12/15 || 唐国瑜 || 跨语言话题分析关键技术研究 ||[[媒体文件:141205-答辩-TGY.pdf|slides]] ||
|-
| rowspan="1"|2014/12/22 || || || ||
|-
| rowspan="1"|2014/12/29 || Askar || Language Mismatch in Speaker Recognition System||[[媒体文件:141229--askar.pdf|slides]] ||
|-
| rowspan="1"|2015/1/5 ||Lantian Li || Deep Neural Networks for Speaker Recognition || [[媒体文件:150104_Deep_Neural_Networks_for_Speaker_Recognition_LLT.pdf|slides]]||
|-
| rowspan="1"|2015/1/12 || || || ||
|-
| rowspan="1"|2015/1/19 || Dong Wang || Machine Learning Paradigms for Speech Recognition||[[媒体文件:Machine Learning Paradigms for Speech Recognition.pdf|slides]] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6423821 paper] ||
|-
| rowspan="1"|2015/1/26 || Chen Guorong || Information Transmission and Distribution on Web ||[[媒体文件:An_introduction_of_complex_network1.pdf|slides]] ||
|-
| rowspan="1" |2015/3/9 || Dong Wang || Joint Deep Learning || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/3/16 || Dongxu Zhang || Knowledge learning from text data and knowledge bases || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/4/13 || Xuewei Zhang || Lasso-based Reverberation Suppression In Automatic Speech Recognition || [[媒体文件:Lasso-based Reverberation Suppression In Automatic Speech Recognition.pdf|slides]] ||
|-
| rowspan="1"|2015/5/11 || Dong Wang ||ASR and SID Research Frontier ||[[媒体文件:ASR and SID Research Frontier.pdf|slides]] ||
|-
| rowspan="1"|2015/11/23 || Zhiyuan Tang|| CTC learning|| [[媒体文件:CTC.pdf|slides]] ||
|-
| rowspan="1"|2015/11/30 || Mengyuan Zhao|| CNN-based music removal|| [[媒体文件:Music Removal by Convolutional Denoising.pdf | slides]] ||
|-
| rowspan="1"|2015/12/3 || Zhiyuan Tang|| Networks of Memory|| [[媒体文件:Memory_net.pdf|slides]] ||
|-
| rowspan="1"|2015/12/7 || Yiqiao Pan|| Document Classification with Spherical Word Vectors||[[媒体文件:Document Classification with Spherical Word Vectors.pdf|slides]] ||
|-
| rowspan="1"|2015/12/14 || Dong Wang || Transfer Learning for Speech and Language Processing ||[[媒体文件:Transfer_Learning_for_Speech_and_Language_Processing.pdf|slides]] ||
|-
| rowspan="1"|2015/12/21 || Qixin Wang || Attention for poem generation ||[[媒体文件:Ijcai 2016.pptx|slides]] ||
|-
| rowspan="1"|2015/12/28 || Lantian Li || Max-margin metric learning for speaker recognition || [[媒体文件:Max-margin-Metric-Learning.pdf|slides]]||
|-
| rowspan="1"|2016/1/4 || Zhiyong Zhang || Parallel training,MPE and natural gradient||[[媒体文件:20160104_张之勇_Large-scale Parallel Training in Speech Recognition.pdf|slides]]||
|-
| rowspan="1"|2016/1/18 || Dongxu Zhang || Memoryless Document Vector ||[[媒体文件:Memoryless_document_vector.pdf|slides]]||
|-
| rowspan="1"|2016/3/14 || Zhiyuan Tang|| Oral presentation for "vMF-SNE: Embedding for Spherical Data"|| [[媒体文件:embedding.pdf|slides]] ||
|-
| rowspan="1"|2016/3/28 || Tianyi Luo || Review for Neural QA || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/29/CSLT_Weekly_Report--20160328.pdf slides] ||
|-
| rowspan="1"|2016/4/11 || Rong Liu || Recommendation in Youku || [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Cslt%E5%AE%9E%E9%AA%8C%E5%AE%A4%E4%BA%A4%E6%B5%81.pptx slides] ||
|-
| rowspan="1"|2016/5/09 || Miao Fan || Learning contextual embeddings of knowledge base with entity descriptions.|| [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/9c/Techreport_CSLT_2016_M.F..pdf slides] ||
|-
| rowspan="1"|2016/5/16 || Yang Wang || Research on conversation thread detection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%AA%E6%B4%8B-%E6%AF%95%E8%AE%BE-CSLT.pdf slides] ||
|-
| rowspan="1"|2016/5/20 || Yang Wang & Maoning Wang || Research on portfolio selection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/89/%E6%B1%AA%E6%B4%8B-%E9%87%91%E8%9E%8D%E7%AC%AC%E4%B8%80%E6%AC%A1%E5%88%86%E4%BA%AB.pdf slides1] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%87%E6%8A%A5_%E8%B5%84%E4%BA%A7%E7%BB%84%E5%90%88%E4%B8%AD%E5%87%A0%E4%B8%AA%E8%AF%84%E4%BB%B7%E6%8C%87%E6%A0%87%E7%9A%84%E8%A7%A3%E9%87%8A.pdf slides2]||
|-
| rowspan="1"|2016/5/20 || Zhiyuan Tang || ICASSP 2016 summary || [[媒体文件:Note icassp16.pdf|slides]] ||
|-
| rowspan="1"|2016/5/23 || Dong Wang || graphical model and neural model || [[媒体文件:Graphic Model and Neural Model.pdf|slides]] [[媒体文件:Generative-Pdf.rar|papers]] ||
|-
| rowspan="1"|2016/8/02 || Zhiyuan Tang || Visualizing, Measuring and Understanding Neural Networks: A Brief Survey|| [[媒体文件:Nn analysis.pdf|slides]] ||
|-
| rowspan="1"|2016/8/03 || Yang Wang || Neural networks and genetic programming for financial forecasting || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/79/GeneticNN.pdf slides] ||
|-
| rowspan="1"|2016/11/05 || Yang Wang || Reinforcement Learning Models and Simulations || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/ca/RRL_and_sim.pdf slides] ||
|-
| rowspan="1"|2016/11/08 || April Pu || SOFTWARE DEVELIPMENT METHODOLOGIES || [http://wangd.cslt.org/talks/pdf/april_software.pptx slides] ||
|-
| rowspan="1"|2016/11/12 || Yang Wang || Generative Adversarial Nets || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c9/Generative_adversarial_network.pdf slides] ||
|-
| rowspan="1"|2016/11/22 || Zhiyuan Tang || INTERSPEECH 2016 summary || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/65/Interspeech16_review.pdf slides] ||
|-
| rowspan="1"|2016/11/30 || Dong Wang || Deep and sparse learning in speech and language: an overview || [http://wangd.cslt.org/talks/pdf/bics2016.pptx slides] ||
|-
| rowspan="1"|2017/2/17 || Yang Wang || Review understanding deep learning requires rethinking generalization || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Review_understanding_deep_learning_requires_rethinking_generalization.pdf slides] ||
|-
| rowspan="1"|2017/6/5 || Dong Wang || Deep speech factorization || [http://wangd.cslt.org/talks/pdf/Deep-Speech-Factorization.pdf slides] ||
|-
| rowspan="1"|2017/6/8 || Shiyue Zhang || Convolutional Sequence to Sequence Learning || [ slides] ||
|-
| rowspan="1"|2017/6/12 || Shiyue Zhang || Memory-augmented Neural Machine Translation || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/36/Memory-augmented_Neural_Machine_Translation_.pptx slides] ||
|-
| rowspan="1"|2017/6/21 || Shiyue Zhang || Attention Is All You Need || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Attention_is_all_you_need.pptx slides] ||
|-
|}

文件:Attention is all you need.pptx

2017-06-24T01:06:30Z

Zhangsy：paper sharing: Attention_is_all_you_need

paper sharing: Attention_is_all_you_need

Weekly meeting

2017-06-24T01:05:03Z

Zhangsy：

*Location: FIT-1-304
*Time: Monday, 7:00 PM

{| class="wikitable"
! Date !! Speaker!! Title !! Materials !! On duty
|-
| 2012/08/27 ||Dong Wang || Heterogeneous Convolutive Non-negative Sparse Coding ||[[媒体文件:Heterogeneous_convolutive_non-negative_sparse_coding.pdf|slides]] [http://homepages.inf.ed.ac.uk/v1dwang2/public/pdf/inerspeech2012-hetero.pdf paper] ||
|-
|2012/09/03 ||NO Meeting|| || ||
|-
|2012/09/10 || NO Meeting|| || ||
|-
|2012/09/17 ||WALEED ABDULLA||Auditory Based Feature Vectors for Speech Recognition ||[[媒体文件:AuditoryBasedFeatureVectors.pdf|slides]]||范淼
|-
| rowspan="2"|2012/09/24 ||刘超|| N-gram FST indexing for Spoken Term Detection || [[媒体文件:120924-N_gram_FST_indexing_for_Spoken_Term_Detection-LC-0.pdf|slides]] ||尹聪
|-
|范淼||Micro-blogging, Wikipedia, Folksonomy, What's Next? ||[[媒体文件:120924-Micro-blogging, Wikipedia, Folksonomy, What's Next-FM--01-FM-.pdf|slides]] ||
|-
| 2012/10/08 ||NO Meeting|| || ||
|-
| 2012/10/15 ||NO Meeting|| || ||
|-
|2012/10/22||Wu Xiaojun||speaker recognition in CSLT ||[[媒体文件:VPR_in_CSLT.pdf|slides]]||卡尔
|-
| rowspan="1"|2012/10/29 ||王军||An overview of Automatic Speaker Diarization Systems || [[媒体文件:121027-Speaker Diarization-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2012/11/05 ||别凡虎||Experiments on Emotional Speaker Recognition||[[媒体文件:121104-Experiments_on_Emotional_Speaker_Recognition-BFH.pdf|slides]] ||刘超
|-
| rowspan="1"|2012/11/12 ||唐国瑜||Statistical Word Sense Improves Document Clustering ||[[媒体文件:121112_Statistical_Word_Sense_Improves_Document_Clustering_TGY.pdf‎ |slides]]||邱晗
|-
| rowspan="1"|2012/11/19 ||张陈昊||TDSR with Long-term Features Based on Functional Data Analysis||[[媒体文件:121118-ISCSLP-FDA_SR-ZCH.pdf|slides]] ||王俊俊
|-
| rowspan="1"|2012/11/26 ||王琳琳||Time-Varying Speaker Recognition: An Introduction||[[媒体文件:121126-Time_Varying_Speaker_Recognition_I-Wll.pdf‎|slides]] ||龚宬
|-
| rowspan="1"|2012/12/03 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/10 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/17 ||No meeting|| || ||

|-
| rowspan="1"|2012/01/07 || || || ||
|-
|2012/01/07 ||王军||基于DF-MAP的说话人模型训练方法||[[媒体文件:130107-基于DFMAP的说话人模型训练方法-WJ.pdf|slides]] ||唐国瑜
|-
| rowspan="1"|2012/01/14 ||王东|| Computing in CSLT ||[[媒体文件:Computing_in_CSLT.pdf|slides]] ||王琳琳
|-

|-
| rowspan="1"|2013/03/04 ||王军||Sequential Adaptive Learning for Speaker Verification ||[[媒体文件:130301-Sequential adaptive learning for speaker verification-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2013/03/11 || Du Jinle|| VAD stuff || ||
|-
| rowspan="1"|2013/03/18 || || || ||
|-
| rowspan="1"|2013/03/25 || || || ||
|-
| rowspan="1"|2013/04/01 || || || ||
|-
| rowspan="1"|2013/04/08 || 张陈昊|| A Fishervoice based Feature Fusion Method for SUSR ||[[媒体文件:130408-FisherVoice-ZCH.pdf|slides]] ||谢仲达
|-
| rowspan="1"|2013/04/15 ||龚宬|| An Exploration on Influence Factors of VAD's Performance in Speaker Recognition ||[[媒体文件:130415-An_Exploration_on_Influence_Factors_of_VAD-GC.pdf|slides]] ||
|-
| rowspan="1"|2013/04/22 ||王俊俊 || Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task ||[[媒体文件:130422-Understanding_the_Query-WJJ.pdf|slides‎]] ||
|-
| rowspan="1"|2013/04/29 || || || ||
|-
| rowspan="1"|2013/05/06 ||别凡虎 ||MLLR on Emotional Speaker Recognition ||[[媒体文件:130506-MLLR on Emotional Speaker Recognition-BFH.pdf|slides]] ||
|-
| rowspan="1"|2013/05/13 ||刘超 || The Use of Deep Neural Network for Speech Recognition || [[媒体文件:130513-the_use_of_dnn_for_asr-lc.pdf|slides]] ||
|-
| rowspan="1"|2013/05/20 || || || ||
|-
| rowspan="1"|2013/05/27 ||王琳琳|| 说话人识别中的时变鲁棒性问题研究 || [[媒体文件:130527-TVSV-Wll.pdf|slides]] ||
|-
| rowspan="1"|2013/06/03 ||王俊俊|| 汉语搜索结果聚类系统研究与实现 || [[媒体文件:130601-毕业答辩-02-WJJ.pdf|slides]] ||
|-
| rowspan="1"|2013/06/10 || || || ||
|-
| rowspan="1"|2013/06/17 ||范淼 || Relation Extraction ||[[媒体文件:130617-relation_extraction-fm.pdf|slides]] ||
|-
| rowspan="1"|2013/06/24 ||唐国瑜 || Incorporating Statistical Word Senses in Topic Model ||[[媒体文件:130624_Incorporating Statistical Word Senses in Topic Model_TGY.pdf|slides]] ||
|-
| rowspan="1"|2013/07/01 || || || ||
|-
| rowspan="1"|2013/07/08 || || || ||
|-
| rowspan="1"|2013/07/15 || || || ||
|-
| rowspan="1"|2013/09/09 ||王东 || Research Frontier in Speech Technology||[[媒体文件:Research Frontier in Speech Technology.pdf|slides]] ||
|-
| rowspan="1"|2013/09/16 || || || ||
|-
| rowspan="1"|2013/09/23 || || || ||
|-
| rowspan="1"|2013/09/30 || || || ||
|-
| rowspan="1"|2013/10/07 || || || ||
|-
| rowspan="1"|2013/10/14 || || || ||
|-
| rowspan="1"|2013/10/21 ||范淼 ||Transduction Classification with Matrix Completion （中文报告）||[[媒体文件: Transduction_Classifiction_with_Matrix_Completion.pdf‎|slides]] [http://pages.cs.wisc.edu/~jerryzhu/pub/mc4ssl_FINAL.pdf paper]|| 李蓝天
|-
| rowspan="1"|2013/10/28 || || || ||
|-
| rowspan="1"|2013/11/04 || 王军 || 基于i-vector的intersession补偿及打分方法(综述) || [[媒体文件:131104-ivecto下intersession补偿及打分方法--01-WJ-.pdf‎|slides]]||
|-
| rowspan="1"|2013/11/11 ||张陈昊 ||PLDA介绍及PLDA在说话人识别中的应用 ||[[媒体文件:PLDA.pdf|slides]] || 唐国瑜
|-
| rowspan="1"|2013/11/18 ||别凡虎 ||i-vector理论介绍（讨论）||[[媒体文件:131118-i-vector_and_GMM-UBM-BFH.pdf|slides]]‎ ||王军
|-
| rowspan="1"|2013/11/25 ||刘超 || Pruning Neural Networks By Optimal Brain Damage(综述)||[[媒体文件:131125-OBD-LC-01.pdf|slides]] ||范淼
|-
| rowspan="1"|2013/12/02 ||范淼 ||Distant Supervision for Relation Extraction with Matrix Completion （英文报告）||[[媒体文件:131202-DRMC-FM-01.pdf|slides]] || 李蓝天
|-
| rowspan="1"|2013/12/09 || Dong Wang|| Introduction to the HMM-based speech synthesis||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/16 ||张陈昊 ||语音研究中的基元介绍 ||[[媒体文件:131215-Phonology-ZCH.pdf|slides]] ||
|-
| rowspan="1"|2013/12/23 || Dong Wang|| Introduction to the HMM-based speech synthesis (2)||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/23 || || || ||
|-
| rowspan="1"|2013/12/30 ||刘荣 || continuous space language model||[[媒体文件:Cslm-cslt.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/01/06 || || || ||
|-
| rowspan="1"|2014/01/13 || || || ||
|-
| rowspan="1"|2014/01/20 || || || ||
|-
| rowspan="1"|2014/02/24 || || || ||
|-
| rowspan="1"|2014/03/03 || || || ||
|-
| rowspan="1"|2014/03/10 ||范淼|| Distant Supervision for Information Extraction (英文报告)|| || 李蓝天
|-
| rowspan="1"|2014/03/17 ||唐国瑜 || Topic Models Incorporating Statistical Word Senses || [[媒体文件:TMISWS_For_CICLing2014.pdf|slides]]||
|-
| rowspan="1"|2014/03/24 ||孟祥涛 || Noisy training for Deep Neural Networks|| ||
|-
| rowspan="1"|2014/03/31 ||范淼|| Translating Embeddings for Modeling Multi-relational Data （中文报告） || [https://www.hds.utc.fr/everest/lib/exe/fetch.php?id=en%3Atranse&cache=cache&media=en:cr_paper_nips13.pdf paper]||李蓝天
|-
| rowspan="1"|2014/04/07 || || || ||
|-
| rowspan="1"|2014/04/14 || Wang Jun|| I-vector and PLDA in depth ||[[媒体文件:131104-ivector-microsoft-wj.pdf|slides]] ||
|-
| rowspan="1"|2014/04/21 || 邱晗||汉语事件句式规范化处理 ||[[媒体文件:140421-汉语事件句式规范化-QH.pdf‎|slides]] ||
|-
| rowspan="1"|2014/04/28 || 唐国瑜|| Some papers in　CICLing2014 ||[[媒体文件:Some_papers_in_CICling2014.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/05/05 || || || ||
|-
| rowspan="1"|2014/05/12 || 卡尔|| paper introduction || [[媒体文件:Acoustic Factor Analysis.pdf|slides]] || 邱晗
|-
| rowspan="2"|2014/05/19 || 邱晗|| 汉语事件句式CCG推导树重构 ||[[媒体文件:140519-CCG_reConstruction.pdf‎|slides]]‎|| 卡尔
|-
|Liu Chao|| master proposal: sparse and deep neural networks || [[媒体文件:140519-proposal-LC-01.pdf|slides]] ||
|-
| rowspan="1"| || Liu Chao|| 2nd master proposal: sparse and deep neural networks|| ||
|-
| rowspan="1"|2014/06/16 || 别凡虎 || Truncated Wave based VPR and Some Recent Work || [[媒体文件:140614-Truncated_Speech_based_VPR.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"|2014/06/23 || 别凡虎 || Block-wise training for I-vector || [[媒体文件:140623-Block-wise training for I-vector.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"| 2014/07/07||王军 ||Discriminative Scoring for Speaker Recognition Based on I-vectors || [[媒体文件:140707-work_report.pdf|slides]]|| 王军
|-
| rowspan="1"| 2014/09/01|| || || ||
|-
| rowspan="1"|2014/09/09 ||别凡虎 ||Reseach on Truncated Wave based VPR||[[媒体文件:140909-Truncated Speech based VPR.pdf|slides]] || 别凡虎
|-
| rowspan="1"| 2014/09/15|| || || ||
|-
| rowspan="1"|2014/09/22 || Miao Fan|| Large-scale Entity Relation Extraction based on Low-dimensional Representations (中文报告，博士开题)
||[[媒体文件:基于低维表示的大规模实体关系挖掘技术.pdf‎|slides]] || Lan TianLi
|-
| rowspan="1"| 2014/09/29 || || || ||
|-
| rowspan="1"|2014/10/13 || Miao Fan|| The Frontier of Knowledge Embedding （英文报告）|| [[媒体文件:The_Frontier_of_Knowledge_Embedding.pdf‎|slides]]|| Lan TianLi
|-
| rowspan="1"|2014/10/20 || || || ||
|-
| rowspan="1"|2014/10/27 || Li Yi || Phonemes, Features, and Syllables: Converting Onset and Rime Inventories to Consonants and Vowels||[[媒体文件:Lanzhou Phonemes, Features, and Syllables- fianl.pdf|paper]] [[媒体文件:Syllables and phonemes - 20141027.pdf|slides]]||
|-
| rowspan="1"|2014/11/3 || 米吉提|| Automatic Speech Recognition of Agglutinative Language based on Lexicon Optimization||[[媒体文件:Mijit-slides-清华大学-2014-11-3.pdf|slides]] ||
|-
| rowspan="1"|2014/11/10 || || || ||
|-
| rowspan="1"|2014/11/17 ||Dong Wang || Highly restricted keyword spotting for Uyghur using sparse analysis|| [[媒体文件:Highly Restricted Keyword Selection Based on Sparse Analysis.pdf|slides]]||
|-
| rowspan="1"|2014/11/24 || || || ||
|-
| rowspan="1"|2014/12/1 ||ZhongDa Xie ||Incorporating Fine-Grained Ontological Relations in Medical Document Ranking || [[媒体文件:Fine-grained_relations.pdf|slides]]|| Lantian Li
|-
| rowspan="1"|2014/12/8 || || || ||
|-
| rowspan="1"|2014/12/15 || 唐国瑜 || 跨语言话题分析关键技术研究 ||[[媒体文件:141205-答辩-TGY.pdf|slides]] ||
|-
| rowspan="1"|2014/12/22 || || || ||
|-
| rowspan="1"|2014/12/29 || Askar || Language Mismatch in Speaker Recognition System||[[媒体文件:141229--askar.pdf|slides]] ||
|-
| rowspan="1"|2015/1/5 ||Lantian Li || Deep Neural Networks for Speaker Recognition || [[媒体文件:150104_Deep_Neural_Networks_for_Speaker_Recognition_LLT.pdf|slides]]||
|-
| rowspan="1"|2015/1/12 || || || ||
|-
| rowspan="1"|2015/1/19 || Dong Wang || Machine Learning Paradigms for Speech Recognition||[[媒体文件:Machine Learning Paradigms for Speech Recognition.pdf|slides]] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6423821 paper] ||
|-
| rowspan="1"|2015/1/26 || Chen Guorong || Information Transmission and Distribution on Web ||[[媒体文件:An_introduction_of_complex_network1.pdf|slides]] ||
|-
| rowspan="1" |2015/3/9 || Dong Wang || Joint Deep Learning || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/3/16 || Dongxu Zhang || Knowledge learning from text data and knowledge bases || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/4/13 || Xuewei Zhang || Lasso-based Reverberation Suppression In Automatic Speech Recognition || [[媒体文件:Lasso-based Reverberation Suppression In Automatic Speech Recognition.pdf|slides]] ||
|-
| rowspan="1"|2015/5/11 || Dong Wang ||ASR and SID Research Frontier ||[[媒体文件:ASR and SID Research Frontier.pdf|slides]] ||
|-
| rowspan="1"|2015/11/23 || Zhiyuan Tang|| CTC learning|| [[媒体文件:CTC.pdf|slides]] ||
|-
| rowspan="1"|2015/11/30 || Mengyuan Zhao|| CNN-based music removal|| [[媒体文件:Music Removal by Convolutional Denoising.pdf | slides]] ||
|-
| rowspan="1"|2015/12/3 || Zhiyuan Tang|| Networks of Memory|| [[媒体文件:Memory_net.pdf|slides]] ||
|-
| rowspan="1"|2015/12/7 || Yiqiao Pan|| Document Classification with Spherical Word Vectors||[[媒体文件:Document Classification with Spherical Word Vectors.pdf|slides]] ||
|-
| rowspan="1"|2015/12/14 || Dong Wang || Transfer Learning for Speech and Language Processing ||[[媒体文件:Transfer_Learning_for_Speech_and_Language_Processing.pdf|slides]] ||
|-
| rowspan="1"|2015/12/21 || Qixin Wang || Attention for poem generation ||[[媒体文件:Ijcai 2016.pptx|slides]] ||
|-
| rowspan="1"|2015/12/28 || Lantian Li || Max-margin metric learning for speaker recognition || [[媒体文件:Max-margin-Metric-Learning.pdf|slides]]||
|-
| rowspan="1"|2016/1/4 || Zhiyong Zhang || Parallel training,MPE and natural gradient||[[媒体文件:20160104_张之勇_Large-scale Parallel Training in Speech Recognition.pdf|slides]]||
|-
| rowspan="1"|2016/1/18 || Dongxu Zhang || Memoryless Document Vector ||[[媒体文件:Memoryless_document_vector.pdf|slides]]||
|-
| rowspan="1"|2016/3/14 || Zhiyuan Tang|| Oral presentation for "vMF-SNE: Embedding for Spherical Data"|| [[媒体文件:embedding.pdf|slides]] ||
|-
| rowspan="1"|2016/3/28 || Tianyi Luo || Review for Neural QA || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/29/CSLT_Weekly_Report--20160328.pdf slides] ||
|-
| rowspan="1"|2016/4/11 || Rong Liu || Recommendation in Youku || [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Cslt%E5%AE%9E%E9%AA%8C%E5%AE%A4%E4%BA%A4%E6%B5%81.pptx slides] ||
|-
| rowspan="1"|2016/5/09 || Miao Fan || Learning contextual embeddings of knowledge base with entity descriptions.|| [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/9c/Techreport_CSLT_2016_M.F..pdf slides] ||
|-
| rowspan="1"|2016/5/16 || Yang Wang || Research on conversation thread detection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%AA%E6%B4%8B-%E6%AF%95%E8%AE%BE-CSLT.pdf slides] ||
|-
| rowspan="1"|2016/5/20 || Yang Wang & Maoning Wang || Research on portfolio selection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/89/%E6%B1%AA%E6%B4%8B-%E9%87%91%E8%9E%8D%E7%AC%AC%E4%B8%80%E6%AC%A1%E5%88%86%E4%BA%AB.pdf slides1] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%87%E6%8A%A5_%E8%B5%84%E4%BA%A7%E7%BB%84%E5%90%88%E4%B8%AD%E5%87%A0%E4%B8%AA%E8%AF%84%E4%BB%B7%E6%8C%87%E6%A0%87%E7%9A%84%E8%A7%A3%E9%87%8A.pdf slides2]||
|-
| rowspan="1"|2016/5/20 || Zhiyuan Tang || ICASSP 2016 summary || [[媒体文件:Note icassp16.pdf|slides]] ||
|-
| rowspan="1"|2016/5/23 || Dong Wang || graphical model and neural model || [[媒体文件:Graphic Model and Neural Model.pdf|slides]] [[媒体文件:Generative-Pdf.rar|papers]] ||
|-
| rowspan="1"|2016/8/02 || Zhiyuan Tang || Visualizing, Measuring and Understanding Neural Networks: A Brief Survey|| [[媒体文件:Nn analysis.pdf|slides]] ||
|-
| rowspan="1"|2016/8/03 || Yang Wang || Neural networks and genetic programming for financial forecasting || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/79/GeneticNN.pdf slides] ||
|-
| rowspan="1"|2016/11/05 || Yang Wang || Reinforcement Learning Models and Simulations || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/ca/RRL_and_sim.pdf slides] ||
|-
| rowspan="1"|2016/11/08 || April Pu || SOFTWARE DEVELIPMENT METHODOLOGIES || [http://wangd.cslt.org/talks/pdf/april_software.pptx slides] ||
|-
| rowspan="1"|2016/11/12 || Yang Wang || Generative Adversarial Nets || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c9/Generative_adversarial_network.pdf slides] ||
|-
| rowspan="1"|2016/11/22 || Zhiyuan Tang || INTERSPEECH 2016 summary || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/65/Interspeech16_review.pdf slides] ||
|-
| rowspan="1"|2016/11/30 || Dong Wang || Deep and sparse learning in speech and language: an overview || [http://wangd.cslt.org/talks/pdf/bics2016.pptx slides] ||
|-
| rowspan="1"|2017/2/17 || Yang Wang || Review understanding deep learning requires rethinking generalization || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Review_understanding_deep_learning_requires_rethinking_generalization.pdf slides] ||
|-
| rowspan="1"|2017/6/5 || Dong Wang || Deep speech factorization || [http://wangd.cslt.org/talks/pdf/Deep-Speech-Factorization.pdf slides] ||
|-
| rowspan="1"|2017/6/8 || Shiyue Zhang || Convolutional Sequence to Sequence Learning || [ slides] ||
|-
| rowspan="1"|2017/6/12 || Shiyue Zhang || Memory-augmented Neural Machine Translation || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/36/Memory-augmented_Neural_Machine_Translation_.pptx slides] ||
|-
| rowspan="1"|2017/6/21 || Shiyue Zhang || Attention Is All You Need || [ slides] ||
|-
|}

Weekly meeting

2017-06-24T01:03:04Z

Zhangsy：

*Location: FIT-1-304
*Time: Monday, 7:00 PM

{| class="wikitable"
! Date !! Speaker!! Title !! Materials !! On duty
|-
| 2012/08/27 ||Dong Wang || Heterogeneous Convolutive Non-negative Sparse Coding ||[[媒体文件:Heterogeneous_convolutive_non-negative_sparse_coding.pdf|slides]] [http://homepages.inf.ed.ac.uk/v1dwang2/public/pdf/inerspeech2012-hetero.pdf paper] ||
|-
|2012/09/03 ||NO Meeting|| || ||
|-
|2012/09/10 || NO Meeting|| || ||
|-
|2012/09/17 ||WALEED ABDULLA||Auditory Based Feature Vectors for Speech Recognition ||[[媒体文件:AuditoryBasedFeatureVectors.pdf|slides]]||范淼
|-
| rowspan="2"|2012/09/24 ||刘超|| N-gram FST indexing for Spoken Term Detection || [[媒体文件:120924-N_gram_FST_indexing_for_Spoken_Term_Detection-LC-0.pdf|slides]] ||尹聪
|-
|范淼||Micro-blogging, Wikipedia, Folksonomy, What's Next? ||[[媒体文件:120924-Micro-blogging, Wikipedia, Folksonomy, What's Next-FM--01-FM-.pdf|slides]] ||
|-
| 2012/10/08 ||NO Meeting|| || ||
|-
| 2012/10/15 ||NO Meeting|| || ||
|-
|2012/10/22||Wu Xiaojun||speaker recognition in CSLT ||[[媒体文件:VPR_in_CSLT.pdf|slides]]||卡尔
|-
| rowspan="1"|2012/10/29 ||王军||An overview of Automatic Speaker Diarization Systems || [[媒体文件:121027-Speaker Diarization-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2012/11/05 ||别凡虎||Experiments on Emotional Speaker Recognition||[[媒体文件:121104-Experiments_on_Emotional_Speaker_Recognition-BFH.pdf|slides]] ||刘超
|-
| rowspan="1"|2012/11/12 ||唐国瑜||Statistical Word Sense Improves Document Clustering ||[[媒体文件:121112_Statistical_Word_Sense_Improves_Document_Clustering_TGY.pdf‎ |slides]]||邱晗
|-
| rowspan="1"|2012/11/19 ||张陈昊||TDSR with Long-term Features Based on Functional Data Analysis||[[媒体文件:121118-ISCSLP-FDA_SR-ZCH.pdf|slides]] ||王俊俊
|-
| rowspan="1"|2012/11/26 ||王琳琳||Time-Varying Speaker Recognition: An Introduction||[[媒体文件:121126-Time_Varying_Speaker_Recognition_I-Wll.pdf‎|slides]] ||龚宬
|-
| rowspan="1"|2012/12/03 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/10 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/17 ||No meeting|| || ||

|-
| rowspan="1"|2012/01/07 || || || ||
|-
|2012/01/07 ||王军||基于DF-MAP的说话人模型训练方法||[[媒体文件:130107-基于DFMAP的说话人模型训练方法-WJ.pdf|slides]] ||唐国瑜
|-
| rowspan="1"|2012/01/14 ||王东|| Computing in CSLT ||[[媒体文件:Computing_in_CSLT.pdf|slides]] ||王琳琳
|-

|-
| rowspan="1"|2013/03/04 ||王军||Sequential Adaptive Learning for Speaker Verification ||[[媒体文件:130301-Sequential adaptive learning for speaker verification-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2013/03/11 || Du Jinle|| VAD stuff || ||
|-
| rowspan="1"|2013/03/18 || || || ||
|-
| rowspan="1"|2013/03/25 || || || ||
|-
| rowspan="1"|2013/04/01 || || || ||
|-
| rowspan="1"|2013/04/08 || 张陈昊|| A Fishervoice based Feature Fusion Method for SUSR ||[[媒体文件:130408-FisherVoice-ZCH.pdf|slides]] ||谢仲达
|-
| rowspan="1"|2013/04/15 ||龚宬|| An Exploration on Influence Factors of VAD's Performance in Speaker Recognition ||[[媒体文件:130415-An_Exploration_on_Influence_Factors_of_VAD-GC.pdf|slides]] ||
|-
| rowspan="1"|2013/04/22 ||王俊俊 || Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task ||[[媒体文件:130422-Understanding_the_Query-WJJ.pdf|slides‎]] ||
|-
| rowspan="1"|2013/04/29 || || || ||
|-
| rowspan="1"|2013/05/06 ||别凡虎 ||MLLR on Emotional Speaker Recognition ||[[媒体文件:130506-MLLR on Emotional Speaker Recognition-BFH.pdf|slides]] ||
|-
| rowspan="1"|2013/05/13 ||刘超 || The Use of Deep Neural Network for Speech Recognition || [[媒体文件:130513-the_use_of_dnn_for_asr-lc.pdf|slides]] ||
|-
| rowspan="1"|2013/05/20 || || || ||
|-
| rowspan="1"|2013/05/27 ||王琳琳|| 说话人识别中的时变鲁棒性问题研究 || [[媒体文件:130527-TVSV-Wll.pdf|slides]] ||
|-
| rowspan="1"|2013/06/03 ||王俊俊|| 汉语搜索结果聚类系统研究与实现 || [[媒体文件:130601-毕业答辩-02-WJJ.pdf|slides]] ||
|-
| rowspan="1"|2013/06/10 || || || ||
|-
| rowspan="1"|2013/06/17 ||范淼 || Relation Extraction ||[[媒体文件:130617-relation_extraction-fm.pdf|slides]] ||
|-
| rowspan="1"|2013/06/24 ||唐国瑜 || Incorporating Statistical Word Senses in Topic Model ||[[媒体文件:130624_Incorporating Statistical Word Senses in Topic Model_TGY.pdf|slides]] ||
|-
| rowspan="1"|2013/07/01 || || || ||
|-
| rowspan="1"|2013/07/08 || || || ||
|-
| rowspan="1"|2013/07/15 || || || ||
|-
| rowspan="1"|2013/09/09 ||王东 || Research Frontier in Speech Technology||[[媒体文件:Research Frontier in Speech Technology.pdf|slides]] ||
|-
| rowspan="1"|2013/09/16 || || || ||
|-
| rowspan="1"|2013/09/23 || || || ||
|-
| rowspan="1"|2013/09/30 || || || ||
|-
| rowspan="1"|2013/10/07 || || || ||
|-
| rowspan="1"|2013/10/14 || || || ||
|-
| rowspan="1"|2013/10/21 ||范淼 ||Transduction Classification with Matrix Completion （中文报告）||[[媒体文件: Transduction_Classifiction_with_Matrix_Completion.pdf‎|slides]] [http://pages.cs.wisc.edu/~jerryzhu/pub/mc4ssl_FINAL.pdf paper]|| 李蓝天
|-
| rowspan="1"|2013/10/28 || || || ||
|-
| rowspan="1"|2013/11/04 || 王军 || 基于i-vector的intersession补偿及打分方法(综述) || [[媒体文件:131104-ivecto下intersession补偿及打分方法--01-WJ-.pdf‎|slides]]||
|-
| rowspan="1"|2013/11/11 ||张陈昊 ||PLDA介绍及PLDA在说话人识别中的应用 ||[[媒体文件:PLDA.pdf|slides]] || 唐国瑜
|-
| rowspan="1"|2013/11/18 ||别凡虎 ||i-vector理论介绍（讨论）||[[媒体文件:131118-i-vector_and_GMM-UBM-BFH.pdf|slides]]‎ ||王军
|-
| rowspan="1"|2013/11/25 ||刘超 || Pruning Neural Networks By Optimal Brain Damage(综述)||[[媒体文件:131125-OBD-LC-01.pdf|slides]] ||范淼
|-
| rowspan="1"|2013/12/02 ||范淼 ||Distant Supervision for Relation Extraction with Matrix Completion （英文报告）||[[媒体文件:131202-DRMC-FM-01.pdf|slides]] || 李蓝天
|-
| rowspan="1"|2013/12/09 || Dong Wang|| Introduction to the HMM-based speech synthesis||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/16 ||张陈昊 ||语音研究中的基元介绍 ||[[媒体文件:131215-Phonology-ZCH.pdf|slides]] ||
|-
| rowspan="1"|2013/12/23 || Dong Wang|| Introduction to the HMM-based speech synthesis (2)||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/23 || || || ||
|-
| rowspan="1"|2013/12/30 ||刘荣 || continuous space language model||[[媒体文件:Cslm-cslt.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/01/06 || || || ||
|-
| rowspan="1"|2014/01/13 || || || ||
|-
| rowspan="1"|2014/01/20 || || || ||
|-
| rowspan="1"|2014/02/24 || || || ||
|-
| rowspan="1"|2014/03/03 || || || ||
|-
| rowspan="1"|2014/03/10 ||范淼|| Distant Supervision for Information Extraction (英文报告)|| || 李蓝天
|-
| rowspan="1"|2014/03/17 ||唐国瑜 || Topic Models Incorporating Statistical Word Senses || [[媒体文件:TMISWS_For_CICLing2014.pdf|slides]]||
|-
| rowspan="1"|2014/03/24 ||孟祥涛 || Noisy training for Deep Neural Networks|| ||
|-
| rowspan="1"|2014/03/31 ||范淼|| Translating Embeddings for Modeling Multi-relational Data （中文报告） || [https://www.hds.utc.fr/everest/lib/exe/fetch.php?id=en%3Atranse&cache=cache&media=en:cr_paper_nips13.pdf paper]||李蓝天
|-
| rowspan="1"|2014/04/07 || || || ||
|-
| rowspan="1"|2014/04/14 || Wang Jun|| I-vector and PLDA in depth ||[[媒体文件:131104-ivector-microsoft-wj.pdf|slides]] ||
|-
| rowspan="1"|2014/04/21 || 邱晗||汉语事件句式规范化处理 ||[[媒体文件:140421-汉语事件句式规范化-QH.pdf‎|slides]] ||
|-
| rowspan="1"|2014/04/28 || 唐国瑜|| Some papers in　CICLing2014 ||[[媒体文件:Some_papers_in_CICling2014.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/05/05 || || || ||
|-
| rowspan="1"|2014/05/12 || 卡尔|| paper introduction || [[媒体文件:Acoustic Factor Analysis.pdf|slides]] || 邱晗
|-
| rowspan="2"|2014/05/19 || 邱晗|| 汉语事件句式CCG推导树重构 ||[[媒体文件:140519-CCG_reConstruction.pdf‎|slides]]‎|| 卡尔
|-
|Liu Chao|| master proposal: sparse and deep neural networks || [[媒体文件:140519-proposal-LC-01.pdf|slides]] ||
|-
| rowspan="1"| || Liu Chao|| 2nd master proposal: sparse and deep neural networks|| ||
|-
| rowspan="1"|2014/06/16 || 别凡虎 || Truncated Wave based VPR and Some Recent Work || [[媒体文件:140614-Truncated_Speech_based_VPR.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"|2014/06/23 || 别凡虎 || Block-wise training for I-vector || [[媒体文件:140623-Block-wise training for I-vector.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"| 2014/07/07||王军 ||Discriminative Scoring for Speaker Recognition Based on I-vectors || [[媒体文件:140707-work_report.pdf|slides]]|| 王军
|-
| rowspan="1"| 2014/09/01|| || || ||
|-
| rowspan="1"|2014/09/09 ||别凡虎 ||Reseach on Truncated Wave based VPR||[[媒体文件:140909-Truncated Speech based VPR.pdf|slides]] || 别凡虎
|-
| rowspan="1"| 2014/09/15|| || || ||
|-
| rowspan="1"|2014/09/22 || Miao Fan|| Large-scale Entity Relation Extraction based on Low-dimensional Representations (中文报告，博士开题)
||[[媒体文件:基于低维表示的大规模实体关系挖掘技术.pdf‎|slides]] || Lan TianLi
|-
| rowspan="1"| 2014/09/29 || || || ||
|-
| rowspan="1"|2014/10/13 || Miao Fan|| The Frontier of Knowledge Embedding （英文报告）|| [[媒体文件:The_Frontier_of_Knowledge_Embedding.pdf‎|slides]]|| Lan TianLi
|-
| rowspan="1"|2014/10/20 || || || ||
|-
| rowspan="1"|2014/10/27 || Li Yi || Phonemes, Features, and Syllables: Converting Onset and Rime Inventories to Consonants and Vowels||[[媒体文件:Lanzhou Phonemes, Features, and Syllables- fianl.pdf|paper]] [[媒体文件:Syllables and phonemes - 20141027.pdf|slides]]||
|-
| rowspan="1"|2014/11/3 || 米吉提|| Automatic Speech Recognition of Agglutinative Language based on Lexicon Optimization||[[媒体文件:Mijit-slides-清华大学-2014-11-3.pdf|slides]] ||
|-
| rowspan="1"|2014/11/10 || || || ||
|-
| rowspan="1"|2014/11/17 ||Dong Wang || Highly restricted keyword spotting for Uyghur using sparse analysis|| [[媒体文件:Highly Restricted Keyword Selection Based on Sparse Analysis.pdf|slides]]||
|-
| rowspan="1"|2014/11/24 || || || ||
|-
| rowspan="1"|2014/12/1 ||ZhongDa Xie ||Incorporating Fine-Grained Ontological Relations in Medical Document Ranking || [[媒体文件:Fine-grained_relations.pdf|slides]]|| Lantian Li
|-
| rowspan="1"|2014/12/8 || || || ||
|-
| rowspan="1"|2014/12/15 || 唐国瑜 || 跨语言话题分析关键技术研究 ||[[媒体文件:141205-答辩-TGY.pdf|slides]] ||
|-
| rowspan="1"|2014/12/22 || || || ||
|-
| rowspan="1"|2014/12/29 || Askar || Language Mismatch in Speaker Recognition System||[[媒体文件:141229--askar.pdf|slides]] ||
|-
| rowspan="1"|2015/1/5 ||Lantian Li || Deep Neural Networks for Speaker Recognition || [[媒体文件:150104_Deep_Neural_Networks_for_Speaker_Recognition_LLT.pdf|slides]]||
|-
| rowspan="1"|2015/1/12 || || || ||
|-
| rowspan="1"|2015/1/19 || Dong Wang || Machine Learning Paradigms for Speech Recognition||[[媒体文件:Machine Learning Paradigms for Speech Recognition.pdf|slides]] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6423821 paper] ||
|-
| rowspan="1"|2015/1/26 || Chen Guorong || Information Transmission and Distribution on Web ||[[媒体文件:An_introduction_of_complex_network1.pdf|slides]] ||
|-
| rowspan="1" |2015/3/9 || Dong Wang || Joint Deep Learning || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/3/16 || Dongxu Zhang || Knowledge learning from text data and knowledge bases || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/4/13 || Xuewei Zhang || Lasso-based Reverberation Suppression In Automatic Speech Recognition || [[媒体文件:Lasso-based Reverberation Suppression In Automatic Speech Recognition.pdf|slides]] ||
|-
| rowspan="1"|2015/5/11 || Dong Wang ||ASR and SID Research Frontier ||[[媒体文件:ASR and SID Research Frontier.pdf|slides]] ||
|-
| rowspan="1"|2015/11/23 || Zhiyuan Tang|| CTC learning|| [[媒体文件:CTC.pdf|slides]] ||
|-
| rowspan="1"|2015/11/30 || Mengyuan Zhao|| CNN-based music removal|| [[媒体文件:Music Removal by Convolutional Denoising.pdf | slides]] ||
|-
| rowspan="1"|2015/12/3 || Zhiyuan Tang|| Networks of Memory|| [[媒体文件:Memory_net.pdf|slides]] ||
|-
| rowspan="1"|2015/12/7 || Yiqiao Pan|| Document Classification with Spherical Word Vectors||[[媒体文件:Document Classification with Spherical Word Vectors.pdf|slides]] ||
|-
| rowspan="1"|2015/12/14 || Dong Wang || Transfer Learning for Speech and Language Processing ||[[媒体文件:Transfer_Learning_for_Speech_and_Language_Processing.pdf|slides]] ||
|-
| rowspan="1"|2015/12/21 || Qixin Wang || Attention for poem generation ||[[媒体文件:Ijcai 2016.pptx|slides]] ||
|-
| rowspan="1"|2015/12/28 || Lantian Li || Max-margin metric learning for speaker recognition || [[媒体文件:Max-margin-Metric-Learning.pdf|slides]]||
|-
| rowspan="1"|2016/1/4 || Zhiyong Zhang || Parallel training,MPE and natural gradient||[[媒体文件:20160104_张之勇_Large-scale Parallel Training in Speech Recognition.pdf|slides]]||
|-
| rowspan="1"|2016/1/18 || Dongxu Zhang || Memoryless Document Vector ||[[媒体文件:Memoryless_document_vector.pdf|slides]]||
|-
| rowspan="1"|2016/3/14 || Zhiyuan Tang|| Oral presentation for "vMF-SNE: Embedding for Spherical Data"|| [[媒体文件:embedding.pdf|slides]] ||
|-
| rowspan="1"|2016/3/28 || Tianyi Luo || Review for Neural QA || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/29/CSLT_Weekly_Report--20160328.pdf slides] ||
|-
| rowspan="1"|2016/4/11 || Rong Liu || Recommendation in Youku || [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Cslt%E5%AE%9E%E9%AA%8C%E5%AE%A4%E4%BA%A4%E6%B5%81.pptx slides] ||
|-
| rowspan="1"|2016/5/09 || Miao Fan || Learning contextual embeddings of knowledge base with entity descriptions.|| [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/9c/Techreport_CSLT_2016_M.F..pdf slides] ||
|-
| rowspan="1"|2016/5/16 || Yang Wang || Research on conversation thread detection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%AA%E6%B4%8B-%E6%AF%95%E8%AE%BE-CSLT.pdf slides] ||
|-
| rowspan="1"|2016/5/20 || Yang Wang & Maoning Wang || Research on portfolio selection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/89/%E6%B1%AA%E6%B4%8B-%E9%87%91%E8%9E%8D%E7%AC%AC%E4%B8%80%E6%AC%A1%E5%88%86%E4%BA%AB.pdf slides1] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%87%E6%8A%A5_%E8%B5%84%E4%BA%A7%E7%BB%84%E5%90%88%E4%B8%AD%E5%87%A0%E4%B8%AA%E8%AF%84%E4%BB%B7%E6%8C%87%E6%A0%87%E7%9A%84%E8%A7%A3%E9%87%8A.pdf slides2]||
|-
| rowspan="1"|2016/5/20 || Zhiyuan Tang || ICASSP 2016 summary || [[媒体文件:Note icassp16.pdf|slides]] ||
|-
| rowspan="1"|2016/5/23 || Dong Wang || graphical model and neural model || [[媒体文件:Graphic Model and Neural Model.pdf|slides]] [[媒体文件:Generative-Pdf.rar|papers]] ||
|-
| rowspan="1"|2016/8/02 || Zhiyuan Tang || Visualizing, Measuring and Understanding Neural Networks: A Brief Survey|| [[媒体文件:Nn analysis.pdf|slides]] ||
|-
| rowspan="1"|2016/8/03 || Yang Wang || Neural networks and genetic programming for financial forecasting || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/79/GeneticNN.pdf slides] ||
|-
| rowspan="1"|2016/11/05 || Yang Wang || Reinforcement Learning Models and Simulations || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/ca/RRL_and_sim.pdf slides] ||
|-
| rowspan="1"|2016/11/08 || April Pu || SOFTWARE DEVELIPMENT METHODOLOGIES || [http://wangd.cslt.org/talks/pdf/april_software.pptx slides] ||
|-
| rowspan="1"|2016/11/12 || Yang Wang || Generative Adversarial Nets || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c9/Generative_adversarial_network.pdf slides] ||
|-
| rowspan="1"|2016/11/22 || Zhiyuan Tang || INTERSPEECH 2016 summary || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/65/Interspeech16_review.pdf slides] ||
|-
| rowspan="1"|2016/11/30 || Dong Wang || Deep and sparse learning in speech and language: an overview || [http://wangd.cslt.org/talks/pdf/bics2016.pptx slides] ||
|-
| rowspan="1"|2017/2/17 || Yang Wang || Review understanding deep learning requires rethinking generalization || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Review_understanding_deep_learning_requires_rethinking_generalization.pdf slides] ||
|-
| rowspan="1"|2017/6/5 || Dong Wang || Deep speech factorization || [http://wangd.cslt.org/talks/pdf/Deep-Speech-Factorization.pdf slides] ||
|-
| rowspan="1"|2017/6/12 || Shiyue Zhang || Memory-augmented Neural Machine Translation || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/36/Memory-augmented_Neural_Machine_Translation_.pptx slides] ||
|-
|}

文件:Memory-augmented Neural Machine Translation .pptx

2017-06-24T01:00:36Z

Zhangsy：Memory-augmented_Neural_Machine_Translation report

Memory-augmented_Neural_Machine_Translation report

Weekly meeting

2017-06-24T00:56:49Z

Zhangsy：

*Location: FIT-1-304
*Time: Monday, 7:00 PM

{| class="wikitable"
! Date !! Speaker!! Title !! Materials !! On duty
|-
| 2012/08/27 ||Dong Wang || Heterogeneous Convolutive Non-negative Sparse Coding ||[[媒体文件:Heterogeneous_convolutive_non-negative_sparse_coding.pdf|slides]] [http://homepages.inf.ed.ac.uk/v1dwang2/public/pdf/inerspeech2012-hetero.pdf paper] ||
|-
|2012/09/03 ||NO Meeting|| || ||
|-
|2012/09/10 || NO Meeting|| || ||
|-
|2012/09/17 ||WALEED ABDULLA||Auditory Based Feature Vectors for Speech Recognition ||[[媒体文件:AuditoryBasedFeatureVectors.pdf|slides]]||范淼
|-
| rowspan="2"|2012/09/24 ||刘超|| N-gram FST indexing for Spoken Term Detection || [[媒体文件:120924-N_gram_FST_indexing_for_Spoken_Term_Detection-LC-0.pdf|slides]] ||尹聪
|-
|范淼||Micro-blogging, Wikipedia, Folksonomy, What's Next? ||[[媒体文件:120924-Micro-blogging, Wikipedia, Folksonomy, What's Next-FM--01-FM-.pdf|slides]] ||
|-
| 2012/10/08 ||NO Meeting|| || ||
|-
| 2012/10/15 ||NO Meeting|| || ||
|-
|2012/10/22||Wu Xiaojun||speaker recognition in CSLT ||[[媒体文件:VPR_in_CSLT.pdf|slides]]||卡尔
|-
| rowspan="1"|2012/10/29 ||王军||An overview of Automatic Speaker Diarization Systems || [[媒体文件:121027-Speaker Diarization-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2012/11/05 ||别凡虎||Experiments on Emotional Speaker Recognition||[[媒体文件:121104-Experiments_on_Emotional_Speaker_Recognition-BFH.pdf|slides]] ||刘超
|-
| rowspan="1"|2012/11/12 ||唐国瑜||Statistical Word Sense Improves Document Clustering ||[[媒体文件:121112_Statistical_Word_Sense_Improves_Document_Clustering_TGY.pdf‎ |slides]]||邱晗
|-
| rowspan="1"|2012/11/19 ||张陈昊||TDSR with Long-term Features Based on Functional Data Analysis||[[媒体文件:121118-ISCSLP-FDA_SR-ZCH.pdf|slides]] ||王俊俊
|-
| rowspan="1"|2012/11/26 ||王琳琳||Time-Varying Speaker Recognition: An Introduction||[[媒体文件:121126-Time_Varying_Speaker_Recognition_I-Wll.pdf‎|slides]] ||龚宬
|-
| rowspan="1"|2012/12/03 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/10 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/17 ||No meeting|| || ||

|-
| rowspan="1"|2012/01/07 || || || ||
|-
|2012/01/07 ||王军||基于DF-MAP的说话人模型训练方法||[[媒体文件:130107-基于DFMAP的说话人模型训练方法-WJ.pdf|slides]] ||唐国瑜
|-
| rowspan="1"|2012/01/14 ||王东|| Computing in CSLT ||[[媒体文件:Computing_in_CSLT.pdf|slides]] ||王琳琳
|-

|-
| rowspan="1"|2013/03/04 ||王军||Sequential Adaptive Learning for Speaker Verification ||[[媒体文件:130301-Sequential adaptive learning for speaker verification-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2013/03/11 || Du Jinle|| VAD stuff || ||
|-
| rowspan="1"|2013/03/18 || || || ||
|-
| rowspan="1"|2013/03/25 || || || ||
|-
| rowspan="1"|2013/04/01 || || || ||
|-
| rowspan="1"|2013/04/08 || 张陈昊|| A Fishervoice based Feature Fusion Method for SUSR ||[[媒体文件:130408-FisherVoice-ZCH.pdf|slides]] ||谢仲达
|-
| rowspan="1"|2013/04/15 ||龚宬|| An Exploration on Influence Factors of VAD's Performance in Speaker Recognition ||[[媒体文件:130415-An_Exploration_on_Influence_Factors_of_VAD-GC.pdf|slides]] ||
|-
| rowspan="1"|2013/04/22 ||王俊俊 || Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task ||[[媒体文件:130422-Understanding_the_Query-WJJ.pdf|slides‎]] ||
|-
| rowspan="1"|2013/04/29 || || || ||
|-
| rowspan="1"|2013/05/06 ||别凡虎 ||MLLR on Emotional Speaker Recognition ||[[媒体文件:130506-MLLR on Emotional Speaker Recognition-BFH.pdf|slides]] ||
|-
| rowspan="1"|2013/05/13 ||刘超 || The Use of Deep Neural Network for Speech Recognition || [[媒体文件:130513-the_use_of_dnn_for_asr-lc.pdf|slides]] ||
|-
| rowspan="1"|2013/05/20 || || || ||
|-
| rowspan="1"|2013/05/27 ||王琳琳|| 说话人识别中的时变鲁棒性问题研究 || [[媒体文件:130527-TVSV-Wll.pdf|slides]] ||
|-
| rowspan="1"|2013/06/03 ||王俊俊|| 汉语搜索结果聚类系统研究与实现 || [[媒体文件:130601-毕业答辩-02-WJJ.pdf|slides]] ||
|-
| rowspan="1"|2013/06/10 || || || ||
|-
| rowspan="1"|2013/06/17 ||范淼 || Relation Extraction ||[[媒体文件:130617-relation_extraction-fm.pdf|slides]] ||
|-
| rowspan="1"|2013/06/24 ||唐国瑜 || Incorporating Statistical Word Senses in Topic Model ||[[媒体文件:130624_Incorporating Statistical Word Senses in Topic Model_TGY.pdf|slides]] ||
|-
| rowspan="1"|2013/07/01 || || || ||
|-
| rowspan="1"|2013/07/08 || || || ||
|-
| rowspan="1"|2013/07/15 || || || ||
|-
| rowspan="1"|2013/09/09 ||王东 || Research Frontier in Speech Technology||[[媒体文件:Research Frontier in Speech Technology.pdf|slides]] ||
|-
| rowspan="1"|2013/09/16 || || || ||
|-
| rowspan="1"|2013/09/23 || || || ||
|-
| rowspan="1"|2013/09/30 || || || ||
|-
| rowspan="1"|2013/10/07 || || || ||
|-
| rowspan="1"|2013/10/14 || || || ||
|-
| rowspan="1"|2013/10/21 ||范淼 ||Transduction Classification with Matrix Completion （中文报告）||[[媒体文件: Transduction_Classifiction_with_Matrix_Completion.pdf‎|slides]] [http://pages.cs.wisc.edu/~jerryzhu/pub/mc4ssl_FINAL.pdf paper]|| 李蓝天
|-
| rowspan="1"|2013/10/28 || || || ||
|-
| rowspan="1"|2013/11/04 || 王军 || 基于i-vector的intersession补偿及打分方法(综述) || [[媒体文件:131104-ivecto下intersession补偿及打分方法--01-WJ-.pdf‎|slides]]||
|-
| rowspan="1"|2013/11/11 ||张陈昊 ||PLDA介绍及PLDA在说话人识别中的应用 ||[[媒体文件:PLDA.pdf|slides]] || 唐国瑜
|-
| rowspan="1"|2013/11/18 ||别凡虎 ||i-vector理论介绍（讨论）||[[媒体文件:131118-i-vector_and_GMM-UBM-BFH.pdf|slides]]‎ ||王军
|-
| rowspan="1"|2013/11/25 ||刘超 || Pruning Neural Networks By Optimal Brain Damage(综述)||[[媒体文件:131125-OBD-LC-01.pdf|slides]] ||范淼
|-
| rowspan="1"|2013/12/02 ||范淼 ||Distant Supervision for Relation Extraction with Matrix Completion （英文报告）||[[媒体文件:131202-DRMC-FM-01.pdf|slides]] || 李蓝天
|-
| rowspan="1"|2013/12/09 || Dong Wang|| Introduction to the HMM-based speech synthesis||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/16 ||张陈昊 ||语音研究中的基元介绍 ||[[媒体文件:131215-Phonology-ZCH.pdf|slides]] ||
|-
| rowspan="1"|2013/12/23 || Dong Wang|| Introduction to the HMM-based speech synthesis (2)||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/23 || || || ||
|-
| rowspan="1"|2013/12/30 ||刘荣 || continuous space language model||[[媒体文件:Cslm-cslt.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/01/06 || || || ||
|-
| rowspan="1"|2014/01/13 || || || ||
|-
| rowspan="1"|2014/01/20 || || || ||
|-
| rowspan="1"|2014/02/24 || || || ||
|-
| rowspan="1"|2014/03/03 || || || ||
|-
| rowspan="1"|2014/03/10 ||范淼|| Distant Supervision for Information Extraction (英文报告)|| || 李蓝天
|-
| rowspan="1"|2014/03/17 ||唐国瑜 || Topic Models Incorporating Statistical Word Senses || [[媒体文件:TMISWS_For_CICLing2014.pdf|slides]]||
|-
| rowspan="1"|2014/03/24 ||孟祥涛 || Noisy training for Deep Neural Networks|| ||
|-
| rowspan="1"|2014/03/31 ||范淼|| Translating Embeddings for Modeling Multi-relational Data （中文报告） || [https://www.hds.utc.fr/everest/lib/exe/fetch.php?id=en%3Atranse&cache=cache&media=en:cr_paper_nips13.pdf paper]||李蓝天
|-
| rowspan="1"|2014/04/07 || || || ||
|-
| rowspan="1"|2014/04/14 || Wang Jun|| I-vector and PLDA in depth ||[[媒体文件:131104-ivector-microsoft-wj.pdf|slides]] ||
|-
| rowspan="1"|2014/04/21 || 邱晗||汉语事件句式规范化处理 ||[[媒体文件:140421-汉语事件句式规范化-QH.pdf‎|slides]] ||
|-
| rowspan="1"|2014/04/28 || 唐国瑜|| Some papers in　CICLing2014 ||[[媒体文件:Some_papers_in_CICling2014.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/05/05 || || || ||
|-
| rowspan="1"|2014/05/12 || 卡尔|| paper introduction || [[媒体文件:Acoustic Factor Analysis.pdf|slides]] || 邱晗
|-
| rowspan="2"|2014/05/19 || 邱晗|| 汉语事件句式CCG推导树重构 ||[[媒体文件:140519-CCG_reConstruction.pdf‎|slides]]‎|| 卡尔
|-
|Liu Chao|| master proposal: sparse and deep neural networks || [[媒体文件:140519-proposal-LC-01.pdf|slides]] ||
|-
| rowspan="1"| || Liu Chao|| 2nd master proposal: sparse and deep neural networks|| ||
|-
| rowspan="1"|2014/06/16 || 别凡虎 || Truncated Wave based VPR and Some Recent Work || [[媒体文件:140614-Truncated_Speech_based_VPR.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"|2014/06/23 || 别凡虎 || Block-wise training for I-vector || [[媒体文件:140623-Block-wise training for I-vector.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"| 2014/07/07||王军 ||Discriminative Scoring for Speaker Recognition Based on I-vectors || [[媒体文件:140707-work_report.pdf|slides]]|| 王军
|-
| rowspan="1"| 2014/09/01|| || || ||
|-
| rowspan="1"|2014/09/09 ||别凡虎 ||Reseach on Truncated Wave based VPR||[[媒体文件:140909-Truncated Speech based VPR.pdf|slides]] || 别凡虎
|-
| rowspan="1"| 2014/09/15|| || || ||
|-
| rowspan="1"|2014/09/22 || Miao Fan|| Large-scale Entity Relation Extraction based on Low-dimensional Representations (中文报告，博士开题)
||[[媒体文件:基于低维表示的大规模实体关系挖掘技术.pdf‎|slides]] || Lan TianLi
|-
| rowspan="1"| 2014/09/29 || || || ||
|-
| rowspan="1"|2014/10/13 || Miao Fan|| The Frontier of Knowledge Embedding （英文报告）|| [[媒体文件:The_Frontier_of_Knowledge_Embedding.pdf‎|slides]]|| Lan TianLi
|-
| rowspan="1"|2014/10/20 || || || ||
|-
| rowspan="1"|2014/10/27 || Li Yi || Phonemes, Features, and Syllables: Converting Onset and Rime Inventories to Consonants and Vowels||[[媒体文件:Lanzhou Phonemes, Features, and Syllables- fianl.pdf|paper]] [[媒体文件:Syllables and phonemes - 20141027.pdf|slides]]||
|-
| rowspan="1"|2014/11/3 || 米吉提|| Automatic Speech Recognition of Agglutinative Language based on Lexicon Optimization||[[媒体文件:Mijit-slides-清华大学-2014-11-3.pdf|slides]] ||
|-
| rowspan="1"|2014/11/10 || || || ||
|-
| rowspan="1"|2014/11/17 ||Dong Wang || Highly restricted keyword spotting for Uyghur using sparse analysis|| [[媒体文件:Highly Restricted Keyword Selection Based on Sparse Analysis.pdf|slides]]||
|-
| rowspan="1"|2014/11/24 || || || ||
|-
| rowspan="1"|2014/12/1 ||ZhongDa Xie ||Incorporating Fine-Grained Ontological Relations in Medical Document Ranking || [[媒体文件:Fine-grained_relations.pdf|slides]]|| Lantian Li
|-
| rowspan="1"|2014/12/8 || || || ||
|-
| rowspan="1"|2014/12/15 || 唐国瑜 || 跨语言话题分析关键技术研究 ||[[媒体文件:141205-答辩-TGY.pdf|slides]] ||
|-
| rowspan="1"|2014/12/22 || || || ||
|-
| rowspan="1"|2014/12/29 || Askar || Language Mismatch in Speaker Recognition System||[[媒体文件:141229--askar.pdf|slides]] ||
|-
| rowspan="1"|2015/1/5 ||Lantian Li || Deep Neural Networks for Speaker Recognition || [[媒体文件:150104_Deep_Neural_Networks_for_Speaker_Recognition_LLT.pdf|slides]]||
|-
| rowspan="1"|2015/1/12 || || || ||
|-
| rowspan="1"|2015/1/19 || Dong Wang || Machine Learning Paradigms for Speech Recognition||[[媒体文件:Machine Learning Paradigms for Speech Recognition.pdf|slides]] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6423821 paper] ||
|-
| rowspan="1"|2015/1/26 || Chen Guorong || Information Transmission and Distribution on Web ||[[媒体文件:An_introduction_of_complex_network1.pdf|slides]] ||
|-
| rowspan="1" |2015/3/9 || Dong Wang || Joint Deep Learning || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/3/16 || Dongxu Zhang || Knowledge learning from text data and knowledge bases || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/4/13 || Xuewei Zhang || Lasso-based Reverberation Suppression In Automatic Speech Recognition || [[媒体文件:Lasso-based Reverberation Suppression In Automatic Speech Recognition.pdf|slides]] ||
|-
| rowspan="1"|2015/5/11 || Dong Wang ||ASR and SID Research Frontier ||[[媒体文件:ASR and SID Research Frontier.pdf|slides]] ||
|-
| rowspan="1"|2015/11/23 || Zhiyuan Tang|| CTC learning|| [[媒体文件:CTC.pdf|slides]] ||
|-
| rowspan="1"|2015/11/30 || Mengyuan Zhao|| CNN-based music removal|| [[媒体文件:Music Removal by Convolutional Denoising.pdf | slides]] ||
|-
| rowspan="1"|2015/12/3 || Zhiyuan Tang|| Networks of Memory|| [[媒体文件:Memory_net.pdf|slides]] ||
|-
| rowspan="1"|2015/12/7 || Yiqiao Pan|| Document Classification with Spherical Word Vectors||[[媒体文件:Document Classification with Spherical Word Vectors.pdf|slides]] ||
|-
| rowspan="1"|2015/12/14 || Dong Wang || Transfer Learning for Speech and Language Processing ||[[媒体文件:Transfer_Learning_for_Speech_and_Language_Processing.pdf|slides]] ||
|-
| rowspan="1"|2015/12/21 || Qixin Wang || Attention for poem generation ||[[媒体文件:Ijcai 2016.pptx|slides]] ||
|-
| rowspan="1"|2015/12/28 || Lantian Li || Max-margin metric learning for speaker recognition || [[媒体文件:Max-margin-Metric-Learning.pdf|slides]]||
|-
| rowspan="1"|2016/1/4 || Zhiyong Zhang || Parallel training,MPE and natural gradient||[[媒体文件:20160104_张之勇_Large-scale Parallel Training in Speech Recognition.pdf|slides]]||
|-
| rowspan="1"|2016/1/18 || Dongxu Zhang || Memoryless Document Vector ||[[媒体文件:Memoryless_document_vector.pdf|slides]]||
|-
| rowspan="1"|2016/3/14 || Zhiyuan Tang|| Oral presentation for "vMF-SNE: Embedding for Spherical Data"|| [[媒体文件:embedding.pdf|slides]] ||
|-
| rowspan="1"|2016/3/28 || Tianyi Luo || Review for Neural QA || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/29/CSLT_Weekly_Report--20160328.pdf slides] ||
|-
| rowspan="1"|2016/4/11 || Rong Liu || Recommendation in Youku || [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Cslt%E5%AE%9E%E9%AA%8C%E5%AE%A4%E4%BA%A4%E6%B5%81.pptx slides] ||
|-
| rowspan="1"|2016/5/09 || Miao Fan || Learning contextual embeddings of knowledge base with entity descriptions.|| [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/9c/Techreport_CSLT_2016_M.F..pdf slides] ||
|-
| rowspan="1"|2016/5/16 || Yang Wang || Research on conversation thread detection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%AA%E6%B4%8B-%E6%AF%95%E8%AE%BE-CSLT.pdf slides] ||
|-
| rowspan="1"|2016/5/20 || Yang Wang & Maoning Wang || Research on portfolio selection. || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/89/%E6%B1%AA%E6%B4%8B-%E9%87%91%E8%9E%8D%E7%AC%AC%E4%B8%80%E6%AC%A1%E5%88%86%E4%BA%AB.pdf slides1] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/%E6%B1%87%E6%8A%A5_%E8%B5%84%E4%BA%A7%E7%BB%84%E5%90%88%E4%B8%AD%E5%87%A0%E4%B8%AA%E8%AF%84%E4%BB%B7%E6%8C%87%E6%A0%87%E7%9A%84%E8%A7%A3%E9%87%8A.pdf slides2]||
|-
| rowspan="1"|2016/5/20 || Zhiyuan Tang || ICASSP 2016 summary || [[媒体文件:Note icassp16.pdf|slides]] ||
|-
| rowspan="1"|2016/5/23 || Dong Wang || graphical model and neural model || [[媒体文件:Graphic Model and Neural Model.pdf|slides]] [[媒体文件:Generative-Pdf.rar|papers]] ||
|-
| rowspan="1"|2016/8/02 || Zhiyuan Tang || Visualizing, Measuring and Understanding Neural Networks: A Brief Survey|| [[媒体文件:Nn analysis.pdf|slides]] ||
|-
| rowspan="1"|2016/8/03 || Yang Wang || Neural networks and genetic programming for financial forecasting || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/79/GeneticNN.pdf slides] ||
|-
| rowspan="1"|2016/11/05 || Yang Wang || Reinforcement Learning Models and Simulations || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/ca/RRL_and_sim.pdf slides] ||
|-
| rowspan="1"|2016/11/08 || April Pu || SOFTWARE DEVELIPMENT METHODOLOGIES || [http://wangd.cslt.org/talks/pdf/april_software.pptx slides] ||
|-
| rowspan="1"|2016/11/12 || Yang Wang || Generative Adversarial Nets || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c9/Generative_adversarial_network.pdf slides] ||
|-
| rowspan="1"|2016/11/22 || Zhiyuan Tang || INTERSPEECH 2016 summary || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/65/Interspeech16_review.pdf slides] ||
|-
| rowspan="1"|2016/11/30 || Dong Wang || Deep and sparse learning in speech and language: an overview || [http://wangd.cslt.org/talks/pdf/bics2016.pptx slides] ||
|-
| rowspan="1"|2017/2/17 || Yang Wang || Review understanding deep learning requires rethinking generalization || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Review_understanding_deep_learning_requires_rethinking_generalization.pdf slides] ||
|-
| rowspan="1"|2017/6/5 || Dong Wang || Deep speech factorization || [http://wangd.cslt.org/talks/pdf/Deep-Speech-Factorization.pdf slides] ||
|-
| rowspan="1"|2017/6/12 || Shiyue Zhang || Memory-augmented Neural Machine Translation || [ slides] ||
|-
|}

NLP Status Report 2017-6-19

2017-06-19T00:44:03Z

Zhangsy：以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/6/19 |Jiyuan Zhang || || |- |Aodong LI || || |- |Shiyue Zhang || * finished th...”为内容创建页面

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/6/19
|Jiyuan Zhang ||
||
|-
|Aodong LI ||
||
|-
|Shiyue Zhang ||
* finished the paper of AP17
||
* share Google's new paper
* deliver the NMT baseline code
* deliver the M-NMT code
|-
|Shipan Ren ||

||

|-

|}

2017-6-19

2017-06-19T00:34:47Z

Zhangsy：以“NLP Status Report 2017-6-19 ASR Status Report 2017-6-19 FIN Status Report 2017-6-19”为内容创建页面

[[NLP Status Report 2017-6-19]]

[[ASR Status Report 2017-6-19]]

[[FIN Status Report 2017-6-19]]

Status report

2017-06-19T00:34:17Z

Zhangsy：

[[2017-6-19]]

[[2017-6-12]]

[[2017-6-5]]

[[2017-5-31]]

[[2017-5-22]]

[[2017-5-15]]

[[2017-5-8]]

[[2017-5-2]]

[[2017-4-24]]

[[2017-4-17]]

[[2017-4-10]]

[[2017-4-5]]

[[2017-3-27]]

[[2017-3-20]]

[[2017-3-13]]

[[2017-3-6]]

[[2017-2-27]]

[[2017-2-20]]

[[2017-2-13]]

[[2017-2-6]]

[[2017-1-30]]

[[2017-1-23]]

[[2017-1-16]]

[[2017-1-10]]

[[2017-1-3]]

NLP Status Report 2017-6-12

2017-06-19T00:33:34Z

Zhangsy：以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/6/5 |Jiyuan Zhang || || |- |Aodong LI || || |- |Shiyue Zhang || * trained mem...”为内容创建页面

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/6/5
|Jiyuan Zhang ||
||
|-
|Aodong LI ||
||
|-
|Shiyue Zhang ||
* trained mem model without EOS and UNK, and got better performance
* wrote introduction and related works of paper
||
* do more experiments and write paper
|-
|Shipan Ren ||

||

|-

|}

NLP Status Report 2017-6-5

2017-06-05T06:04:02Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/6/5
|Jiyuan Zhang ||
||
|-
|Aodong LI ||
* Small data:
Only make the English encoder's embedding constant -- 45.98
Only initialize the English encoder's embedding and then finetune it -- 46.06
Share the attention mechanism and then directly add them -- 46.20
* big data baseline bleu = '''30.83'''
* Model with three fixed embeddings
Shrink output vocab from 30000 to 20000 and best result is 31.53
Train the model with 40 batch size and best result until now is 30.63

||
* test more checkpoints on model trained with batch = 40
* train model with reverse output
|-
|Shiyue Zhang ||
* trained word2vec on big data, and directly used it on NMT, but resulted in quite poor performance
* trained M-NMT model, got bleu=36.58 (+1.34 than NMT). But found the EOS in mem has a big influence on result:
{| class="wikitable"
|-
! NMT
! 35.24, 57.7/39.8/31.9/27.0 BP=0.939
|-
|MNMT (EOS=1)
| 35.27, 60.0/41.3/33.1/28.0 BP=0.907
|-
| MNMT (EOS=0.2)
| 36.40, 59.1/40.8/32.6/27.4 BP=0.951
|-
| MNMT (EOS=0)
| 36.58, 58.4/40.4/32.1/27.0 BP=0.968
|}
* tried to tackle UNK using 36.58 M-NMT, increased vocab to 50000, got bleu=35.63, 58.6/40.0/31.6/26.4 BP=0.953 (not good, ?)
* training uy-zh, 50% zh-uy, 25% zh-uy
* training mem without EOS
* reviewing related papers
||
* solve EOS problem
* find way to tackle UNK
* write paper
|-
|Shipan Ren ||

||

|-

|}

NLP Status Report 2017-6-5

2017-06-05T06:01:33Z

Zhangsy：

NLP Status Report 2017-6-5

2017-06-05T05:56:30Z

Zhangsy：

NLP Status Report 2017-6-5

2017-06-05T05:52:56Z

Zhangsy：

NLP Status Report 2017-5-31

2017-05-31T04:22:41Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/5/31
|Jiyuan Zhang ||
||
|-
|Aodong LI ||

||

|-
|Shiyue Zhang ||
* found dropout bug, fix it, and reran baseline: baseline 35.21, baseline(outproj=emb) 35.24
* tried several embed set models, failed
* embedded other words to model embedding space (trained on train data not big data), and then directly used in baseline(outproj=emb)
{| class="wikitable"
|-
! 30000
! 50000
! 70000
! 90000
|-
| 35.24
| 34.52
| 33.73
| 33.16
|-
| 4564 (6666)
| 4535
| 4469
| 4426
|}
* m-nmt is running
||
* get word2vec on big data, and compare with word2vec from train data
* test m-nmt model, increase vocab size and test
* review zh-uy/uy-zh related works, start to write paper
|-
|Shipan Ren ||

||

|-

|}

NLP Status Report 2017-5-31

2017-05-31T04:21:29Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/5/22
|Jiyuan Zhang ||
||
|-
|Aodong LI ||

||

|-
|Shiyue Zhang ||
* found dropout bug, fix it, and reran baseline: baseline 35.21, baseline(outproj=emb) 35.24
* tried several embed set models, failed
* embedded other words to model embedding space (trained on train data not big data), and then directly used in baseline(outproj=emb)
{| class="wikitable"
|-
! 30000
! 50000
! 70000
! 90000
|-
| 35.24
| 34.52
| 33.73
| 33.16
|-
| 4564 (6666)
| 4535
| 4469
| 4426
|}
* m-nmt is running
||
* get word2vec on big data, and compare with word2vec from train data
* test m-nmt model, increase vocab size and test
* review zh-uy/uy-zh related works, start to write paper
|-
|Shipan Ren ||

||

|-

|}

NLP Status Report 2017-5-31

2017-05-31T04:17:24Z

Zhangsy：

NLP Status Report 2017-5-31

2017-05-31T04:16:19Z

Zhangsy：

NLP Status Report 2017-5-31

2017-05-31T04:11:55Z

Zhangsy：以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/5/22 |Jiyuan Zhang || || |- |Aodong LI || || |- |Shiyue Zhang || * found dro...”为内容创建页面

NLP Status Report 2017-5-22

2017-05-24T01:54:33Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/5/22
|Jiyuan Zhang ||
||
|-
|Aodong LI ||

||
|-
|Shiyue Zhang ||
* tried to not train embedding but use external word vectors
* most results of my attempts are bad, only 3-layer rnn + no dropout model got 25.54 bleu which about 2 points worse than original baseline
* trained original baseline on new data ( the data fixed the reverse sentence problem), got bleu=27.88; moses bleu=32.47
||
* try more models to get similar results as original baseline on new data
* m-nmt model on new data
|-
|Shipan Ren ||
* learn the implement of seq2seq model
* read tf_translate code
||
* understand the meaning of main code
* start writing documents
|-

|}

NLP Status Report 2017-5-22

2017-05-22T03:29:19Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/4/5
|Jiyuan Zhang ||
||
|-
|Aodong LI ||

||
|-
|Shiyue Zhang ||
* tried to not train embedding but use external word vectors
* most results of my attempts are bad, only 3-layer rnn + no dropout model got 25.54 bleu which about 2 points worse than original baseline
* trained original baseline on new data ( the data fixed the reverse sentence problem), got bleu=27.88; moses bleu=32.47
||
* try more models to get similar results as original baseline on new data
* m-nmt model on new data
|-
|Shipan Ren ||

||

|}

NLP Status Report 2017-5-22

2017-05-22T03:29:03Z

Zhangsy：以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/4/5 |Jiyuan Zhang || || |- |Aodong LI || || |- |Shiyue Zhang || * tried to no...”为内容创建页面

Reading table

2017-05-18T02:51:49Z

Zhangsy：

{| class="wikitable"
! Date !! Speaker!! Materials
|-
| rowspan="1"|2014/10/22 ||Zhang Dong Xu|| Why RNN? [[媒体文件:Why_LSTM.pdf|PPT]] [[媒体文件:Learning_Long-Term_Dependencies_with_Gradient_Descent_is_Difficult.pdf|paper 1]],[[媒体文件:LongShortTermMemory.pdf|paper 2]]
|-
| rowspan="3"| 2014/12/8 || rowspan='3'|Liu Rong || Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_tim.pdf pdf]
|-
| Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_twe.pdf pdf][https://github.com/largelymfs/topical_word_embeddings code]
|-
| Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_transr.pdf pdf][https://github.com/mrlyk423/relation_extraction code]

|-
|2015/07/10 ||Liu Rong||
*Context-Dependent Translation Selection Using Convolutional Neural Network [http://arxiv.org/abs/1503.02357]
*Syntax-based Deep Matching of Short Texts [http://arxiv.org/abs/1503.02427]
*Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf]
*LSTM: A Search Space Odyssey [http://arxiv.org/pdf/1503.04069.pdf]
*A Deep Embedding Model for Co-occurrence Learning [http://arxiv.org/abs/1504.02824]
*Text segmentation based on semantic word embeddings[http://arxiv.org/abs/1503.05543]
*semantic parsing via paraphrashings[http://www.cs.tau.ac.il/research/jonathan.berant/homepage_files/publications/ACL14.pdf]
|-
|-
|2015/07/22 ||Dong Wang||
*From Word Embeddings To Document Distances [http://jmlr.org/proceedings/papers/v37/kusnerb15.pdf pdf]
*[[Asr-read-icml|Reading list for ICML2015]]
|-
|2015/07/29 ||Xiaoxi Wang||
* Sequence to Sequence Learning with Neural Networks [http://papers.nips.cc/paper/5346-information-based-learning-by-agents-in-unbounded-state-spaces pdf]
* Neural Machine Translation by Jointly Learning to Align and Translate [http://arxiv.org/abs/1409.0473 pdf]
|-
|2015/08/05 ||Tianyi Luo||
* A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [[http://aclanthology.info/papers/a-hierarchical-knowledge-representation-for-expert-finding-on-social-media pdf]]
|-
|2015/08/05 ||Dongxu Zhang||
* Describing Multimedia Content using Attention-based Encoder-Decoder Networks[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e0/Describing_Multimedia_Content_using_Attention-based_Encoder-Decoder_Networks.pdf]
* Attention-Based Models for Speech Recognition[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/58/Attention-Based_Models_for_Speech_Recognition.pdf] details in speech recognition.
* Neural Machine Translation by Joint Learning to Align and Translate[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf] details in machine translation.
|-
|2015/08/07 ||Chao Xing||
* Neural Word Embedding as Implicit Matrix Factorization [[http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf pdf]]
* Matrix factorization techniques for recommender systems [[http://www.columbia.edu/~jwp2128/Teaching/W4721/papers/ieeecomputer.pdf]]
|-
|2015/10/14 ||Tianyi Luo, Dongxu Zhang, Chao Xing||
* MEMORY NETWORKS(ICLR 2015) [[http://arxiv.org/pdf/1410.3916v10.pdf pdf]]
* End-To-End Memory Networks(NIPS 2015) [[http://arxiv.org/pdf/1503.08895v4.pdf pdf]]
|-
|2015/10/20 ||Tianyi Luo, Xiaoxi Wang||
* The Kendall and Mallows Kernels for Permutations (ICML 2015) [[http://jmlr.csail.mit.edu/proceedings/papers/v37/jiao15.pdf pdf]]
* The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [[http://www.biomedcentral.com/content/pdf/1471-2105-10-256.pdf pdf]]
* Reasoning about Entailment with Neural Attention [[http://arxiv.org/pdf/1509.06664v1.pdf pdf]]
|-
|2015/10/28 ||Lantian Li||
* Binary Code Ranking with Weighted Hamming Distance [[http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Binary_Code_Ranking_2013_CVPR_paper.pdf pdf]]
|-
|2015/11/05 || Chao Xing, Xiaoxi Wang||
* Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]]
* Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]]
|-
|2015/11/20 || qixinWang||
* Are You Talking to a Machine? [[http://arxiv.org/pdf/1505.05612v3.pdf pdf]]
* m-RNN [[http://arxiv.org/pdf/1412.6632v5.pdf pdf]]
* PresentationPPT [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/93/PresentationPaper--QixinWang20151120.pdf pdf]]
|-
|2015/11/27 || Xiaoxi Wang||
* NEURAL PROGRAMMER-INTERPRETERS [[http://arxiv.org/pdf/1511.06279v2.pdf pdf]]
* Subset Selection by Pareto Optimization [[http://www.researchgate.net/profile/Yang_Yu87/publication/282632653_Subset_Selection_by_Pareto_Optimization/links/561495d908aed47facee68b5.pdf pdf]]
|-
|-
|2015/11/27 || Chao Xing ||
*Random Walks and Neural Network Language Models [[http://www.aclweb.org/anthology/N15-1165 pdf]]
*SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[[http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2015_Iacobaccietal.pdf pdf]]
|-
|-
|2015/12/4 || Dongxu Zhang, Qixin Wang, Chao Xing ||
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
*Playing Atari with Deep Reinforcement Learning[[http://arxiv.org/pdf/1312.5602v1.pdf pdf]]
*Word Embedding Revisited A New Representation Learning and Explicit Matrix Factorization Perspective [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/45/Report-1.pdf pdf]]
|-
|-
|2015/12/11 || Chao Xing, Yiqiao Pan ||
*Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/57/Report-12-11-02.pdf pdf]]
*SENSE2VEC - A FAST AND ACCURATE METHOD FOR WORD SENSE DISAMBIGUATION IN NEURAL WORD EMBEDDINGS [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f0/Report-12-11-03.pdf pdf]]
*Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space[[http://arxiv.org/pdf/1504.06654v1.pdf pdf]]
*Distributional Semantics in Use[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/Report-12-11-01.pdf pdf]]
|-
|-
|2015/12/18 || Tianyi Luo, Dongxu Zhang ||
*Human-level concept learning through probabilistic program induction(Cognitive Science) [[http://cdn1.almosthuman.cn/wp-content/uploads/2015/12/Human-level-concept-learning-through-probabilistic-program-induction.pdf pdf]]
*Cluster Analysis of Heterogeneous Rank Data(ICML 2007) [[http://machinelearning.wustl.edu/mlpapers/paper_files/icml2007_BusseOB07.pdf pdf]]
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
|-
|-
|2015/12/25 || Dongxu zhang, Qixin Wang ||
*Exploiting Multiple Sources for Open-domain Hypernym Discovery[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d1/Exploiting_Multiple_Sources_for_Open-domain_Hypernym_Discovery.pdf]]
*learning semantic hierarchies via word embeddings[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4f/Learning_semantic_hierarchies_via_word_embeddings_acl2014.pdf]]
|-
|-
|2015/12/31 || Xiaoxi Wang， Chao Xing||
* Multilingual Language Processing From Bytes [[http://arxiv.org/pdf/1512.00103v1.pdf pdf]]
* Towards universal neural nets: Gibbs machines and ACE. [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Report-12-31.pdf pdf]]
|-
|-
|2016/1/8 || Qixin Wang， Tianyi Luo||
*Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a1/Unveiling_the_Dreams_of_Word_Embeddings-_Towards_Language-Driven_Image_Generation.pdf pdf]]
*Generating Chinese Couplets using a Statistical MT Approach[[http://aclweb.org/anthology/C/C08/C08-1048.pdf pdf]]
*Generating Chinese Classical Poems with Statistical Machine Translation Models[[http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/viewFile/4753/5314 pdf]]
*Chinese Poetry Generation with Recurrent Neural Networks[[http://www.aclweb.org/old_anthology/D/D14/D14-1074.pdf pdf]]
|-
|2016/1/15 || Chao Xing||
*Learning from Chris Dyer [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cd/Learning_From_Chris_Dyer.pptx ppt]]
*Learning Word Representations with Hierarchical Sparse Coding [[http://arxiv.org/pdf/1406.2035v2.pdf pdf]]
*Non-distributional Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-nondist.pdf pdf]]
*Sparse Overcomplete Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-overcomplete.pdf pdf]]
|-
|2016/1/22 || Qixin Wang, Tianyi Luo||
*Skip_thought_vector [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa/Skip_thought_vector.pdf pdf]]
|-
|2016/1/29 || Dongxu Zhang||
*Towards Neural Network-based Reasoning[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cb/Towards_Neural_Network-based_Reasoning.pdf]]
|-
|2016/3/25 || Jiyuan Zhang||
*Modeling Temporal Dependencies in High-Dimensional Sequences:Application to Polyphonic Music Generation and Transcription[[http://www-etud.iro.umontreal.ca/~boulanni/ICML2012.pdf pdf]]
*Composing Music With Recurrent Neural Networks[[http://www.hexahedria.com/2015/08/03/composing-music-with-recurrent-neural-networks/ blog]]
|-
|2016/4/1 || Chao Xing||
*Generating Text with Deep Reinforcement Learning[[http://arxiv.org/pdf/1510.09202v1.pdf pdf]]
|-
|2016/4/8 || Tianyi Luo||
*Generating Chinese Classical Poems with RNN[[http://nlp.hivefire.com/articles/share/56982/]]
|-
|2016/4/28 || Chao Xing||
*Knowledge Base Completion via Search-Based Question Answering [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b1/Knowledge_Base_Completion_via_Search-Based_Question_Answering_-_Report.pdf]]
*Open Domain Question Answering via Semantic Enrichment [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/15/Open_Domain_Question_Answering_via_Semantic_Enrichment_-_Report.pdf]]
*A Neural Conversational Model [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/15/A_Neural_Conversational_Model_-_Report.pdf]]
|-
|2016/5/11 || Chao Xing||
*A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion
*A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
*Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
*Neural Responding Machine for Short-Text Conversation
*Learning from Real Users Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems
|-
|2016/7/28 || Aiting Liu ||
*Intrinsic Subspace Evaluation of Word Embedding Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/17/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pptx slides]]
|-
|2016/8/4 ||
* Aodong Li
* Jiyuan Zhang
* Andi Zhang
||
*On the Role of Seed Lexicons in Learning Bilingual Word Embeddings [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5b/On_the_Role_of_Seed_Lexicons_in_Learning_Bilingual_Word_Embeddings.pdf pdf]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/51/2.0On_the_Role_of_Seed_Lexicons_in_Learning_Bilingual_Word_Embeddings_.pdf slides]]
*ABCNN- Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/76/ABCNN-_Attention-Based_Convolutional_Neural_Network_for_Modeling_Sentence_Pairs_.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/0d/Attention-Based_Convolutianal_Neural_Network_for_Modeling_Sentence_Pairs.pptx slides]]
*[[Tutorial]]: Introduction to different LMs: NNLM, RNNLM, continuous bag of words, skip-gram
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Models_for_computing_continuous_vector_representations_of_words.pdf slides]]
|-
|2016/8/18 ||
* Shiyao Li
* Aiting Liu
||
*Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a4/Multilingual_part-of-speech_tagging_with_bidirectional_long_short-term_memory_models_and_auxiliary_loss.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Multilingual_Part-of-Speech_Tagging_with.pdf slides]]
*A Sentence Interaction Network for Modeling Dependence between Sentences
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6c/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pptx slides]]
|-
|2016/8/25 ||
* Ziwei Bai
||
*[[Tutorial]]: Tensorflow guidelines and some examples
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/32/Tensor_flow_bai.pdf slides]]
|-
|2016/8/26 ||
* Jiyuan Zhang
* Shiyao Li
||
*[[Tutorial]]: Introduction to GRU, LSTM, RBM [[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:An_overview_of_LSTM,GRU,RBM.pptx slides]]
* [[Tutorial]] : Linear Algebra, Probability and Information Basics
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f1/LinearAlgebra.pdf LinearAlgebra]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/ProbilityTheoryandInformationTheory.pdf ProbabilityAndInformationTheory]]
|-
|2016/9/9 ||
* Aodong Li
||
*Pointing the Unknown Words [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c7/Pointing_the_Unknown_Words.pdf pdf]]
|-
|2016/9/18 ||
* Andy Zhang
*Shiyao Li
*Aodong Li
||
*Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/Large-Scale_Information_Extraction_from_Textual_Definitions_through_Deep_Syntactic_and_Semantic_Analysis.pdf pdf]][[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/80/Large-scale_information_extraction_from_textual_definitions_through_deep_syntactic_and_semantic_analysis.pdf slides]]
*Finding the Middle Ground - A Model for Planning Satisficing Answers [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b3/Finding_the_Middle_Ground_-_A_Model_for_Planning_Satisficing_Answers.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/44/Finding_the_Middle_Ground.pdf slides]]
*Compressing Neural Language Models by Sparse Word Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b6/Compressing_Neural_Language_Models_by_Sparse_Word_Representations.pdf pdf]]
|-
|2016/9/30 ||
* Jiyuan Zhang
*Shiyue Zhang
||
*On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fa/On-line_Active_Reward_Learning_for_Policy_Optimisation_in_Spoken_Dialogue_Systems.pdf pdf]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/On-line_Active_Reward.pdf slides]]
*Stack-propagation: Improved Representation Learning for Syntax
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bf/Stack-propagation-_Improved_Representation_Learning_for_Syntax.pdf pdf]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5d/Stack_propagation.pdf slides]]
|-
|2017/5/18 ||
*Shiyue Zhang
||
*Convolutional Sequence to Sequence Learning [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f3/Conv_seq2seq.pptx slides]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/Cnn_seq2seq.pdf pdf]]
|}

Reading table

2017-05-18T02:50:56Z

Zhangsy：

文件:Conv seq2seq.pptx

2017-05-18T02:49:02Z

Zhangsy：

文件:Cnn seq2seq.pdf

2017-05-18T02:47:50Z

Zhangsy：

Reading table

2017-05-18T02:46:14Z

Zhangsy：

NLP Status Report 2017-5-15

2017-05-15T04:37:49Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/4/5
|Jiyuan Zhang ||
||
|-
|Aodong LI ||

||
|-
|Shiyue Zhang ||
* got result of M-NMT 28.92 ( +2.2, baseline=26.73)
* trained word2vec on big zh,uy data
* tested NMT baseline when there is UNK in ref, bleu=34.10 (better than MOSES=33.10), which means UNK is the biggest problem in NMT
* found a problem in dataset, some sentences are reversed
||
* test embedding untrained model
* refine embedding untrained model
* fix reversed sentences problem and rerun on MOSES, NMT, M-NMT
* implement UNK model
|-
|Shipan Ren ||
* configured environment and ran tf_translate code
* read machine translation paper
* learned lstm model and seq2seq model
||
* learn the implement of seq2seq model
* read tf_translate code
* understand the meaning of main code
|}

NLP Status Report 2017-5-15

2017-05-15T01:38:00Z

Zhangsy：

NLP Status Report 2017-5-15

2017-05-15T01:30:45Z

Zhangsy：以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/4/5 |Jiyuan Zhang || || |- |Aodong LI || || |- |Shiyue Zhang || || |- |Shipan...”为内容创建页面

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/4/5
|Jiyuan Zhang ||
||
|-
|Aodong LI ||

||
|-
|Shiyue Zhang ||
||
|-
|Shipan Ren ||

||

|}

Bi-monthly-2017-04-language

2017-05-09T04:46:01Z

Zhangsy：

Team [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a8/Nlp_team_bi_monthly_report.pdf]

Jiyuan Zhang [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e4/Bi-monthly_report_zhangjy.pdf]

Shiyue Zhang [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Bi-monthly_report_17.01-04.pdf]

Aodong Li

文件:Bi-monthly report 17.01-04.pdf

2017-05-09T04:43:47Z

Zhangsy：

NLP Status Report 2017-4-17

2017-05-03T02:55:00Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/4/5
|Yang Feng ||

||
|-
|Jiyuan Zhang ||
*run the ppg model using different datasets
*check the emnlp paper
||
|-
|Andi Zhang ||

||
|-
|Shiyue Zhang ||
* finished emnlp paper deadline
||
* on leave
|-
|Peilun Xiao ||

||

|}

NLP Status Report 2017-4-10

2017-05-03T02:52:28Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/4/5
|Yang Feng ||
* Got the sampled 100w good data and ran Moses (BLEU: 30.6)
* Reimplemented the idea of ACL (added some optimization to the previous code) and check the performance in the following gradual steps: 1. use s_i-1 as memory query; 2. use s_i-1+c_i as memory query; 3. use y as the memory states for attention; 4. use y + smt_attentions * h as memory states for attention.
* ran experiments for the above steps but the loss was inf. I am looking for reasons.
||
*do experiments and write the paper
|-
|Jiyuan Zhang ||
*convert the style of the paper to EMNLP
*contact the ppg's author to get the code
||
*improve the effect of the qx's model
|-
|Andi Zhang ||
*revise the original oov model so that it can automatically detect oov words and translate them
*deal with the situation that source word is oov but target word is not oov first
*it didn't predict right
||
*make the model work as what we wanted
*deal with the situation that source word is oov and target word is also oov, then other situations
|-
|Shiyue Zhang ||
* working on a paper for EMNLP
||
* working on a paper for EMNLP
|-
|Peilun Xiao ||

||

|}

NLP Status Report 2017-4-5

2017-04-05T02:02:27Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/3/27
|Yang Feng ||
*tested for the baseline but cannot get the reasonable result.
*debug the baseline to try to reproduce the good result but failed.
*fixed the problem of nan in alpha-gamma method but the result is not good.
*changed the calculation of probability for alpha-gamma method but the result is neither good.
*ran Moses for cwmt zh-en translation, but the training data is case-sensitive, so need to rerun.
||
*rerun Moses for cwmt zh-en and cs-en
*decide to use tensorflow or theano
*run experiments based on the chosen platform
|-
|Jiyuan Zhang ||
* I did nothing (I found my ACL mark was at borderline, so I didn't have a mind to work)
||
*improve the effect of the qx's model
|-
|Andi Zhang ||
*fixed the bug, turns out it rises from the unfamiliarity with numpy.resize() function
*the demo model can deal with oov problem(both source word and target word are oov)
||
*some paper work about graduation design
*run some experiments using theano on old data set and new zh2en from lihang
|-
|Shiyue Zhang ||
* got a reasonable baseline on big zhen data
||
* implement mem model on this baseline, and test on big data
|-
|Peilun Xiao ||

||

|}

NLP Status Report 2017-4-5

2017-04-05T02:01:54Z

Zhangsy：

NLP Status Report 2017-3-27

2017-04-05T00:41:40Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/3/27
|Yang Feng ||
*tested for the baseline but cannot get the reasonable result.
*debug the baseline to try to reproduce the good result but failed.
*fixed the problem of nan in alpha-gamma method but the result is not good.
*changed the calculation of probability for alpha-gamma method but the result is neither good.
*ran Moses for cwmt zh-en translation, but the training data is case-sensitive, so need to rerun.
||
*rerun Moses for cwmt zh-en and cs-en
*decide to use tensorflow or theano
*run experiments based on the chosen platform
|-
|Jiyuan Zhang ||
||

|-
|Andi Zhang ||

||

|-
|Shiyue Zhang ||
* got good results from gnmt
* but haven't found the way to implement our model on gnmt
* trying to modify our code to make it work on big data
||
* go on trying to modify our code to make it work on big data
* go on looking into gnmt code
|-
|Peilun Xiao ||

||

|}

NLP Status Report 2017-3-20

2017-04-05T00:35:05Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/3/20
|Yang Feng ||
*went through the code and made different attempt, and managed to produce the good result (47-->50 on the small zh-en data set)
*wrote the cross-entropy method for alpha-gamma method, but found it is different from the built-in method.
*changed to use the build-in soft-cross-entropy method and ran experiments
||
*get the result for alpha-gamma method
*run experiments on the big data
|-
|Jiyuan Zhang ||
||

|-
|Andi Zhang ||

||

|-
|Shiyue Zhang ||
* learned to use google's new seq2seq code(gnmt)
* ran gnmt on en-de , small zh-en, cs-en, big zh-en
||
* run gnmt on new big zh-en
* try to find how to implement our model on gnmt
|-
|Peilun Xiao ||

||

|}

NLP Status Report 2017-3-13

2017-03-13T08:01:36Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/1/3
|Yang Feng ||
* tested and analyzed the results on the cs-en data set (30.4 on the heldout-training set and 7.3 on the dev set);
* added masks to the baseline (44.4 on the cn-en);
* added encoder-masks and memory-masks to alpha-gamma method and fixed the bugs. Got an improvement of 0.5 again the masked baseline [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b8/Nmt_mn_report_continue.pdf report]];
* To avoid doing softmax twice, rewrite the softmax_cross_entropy function myself. (under-training)
||
* analyze and improve the alpha-gamma method.
|-
|Jiyuan Zhang ||
*completed to reproduce planning neural network
*chose best attention_memory model for huilian and ran big train dataset(about 370k) [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b9/Model_with_different_dataset.pdf result]

||
*Keyword expansion model
*collect more poem from Internet
*recruiting

|-
|Andi Zhang ||

||

|-
|Shiyue Zhang ||
* added trained memory-attention model to neural model(43.0) and got 2+ blue gain (45.19), but need more validation and improvement
* ran baseline model on cs-en data, and found it was good on train set but poor on test set.
* ran baseline model on en-fr data, and found 'inf' problem.
* fixed the 'inf' problem by debugging the code of mask-added baseline model.
* running on cs-en and en-fr data again.
||
* go on with baseline on big data: get results of cs-en and enfr data, train on zh-en data from [http://www.statmt.org/wmt17/translation-task.html#download WMT17]
* go on to refine memory attention model: retrain to find out if the 2+ is just by chance, try more memory attention structure (relu, a(t-1), y(t-1)...)
|-
|Peilun Xiao ||

||

|}

2017-3-6

2017-03-06T03:03:26Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/1/3
|Yang Feng ||
||
|-
|Jiyuan Zhang ||

||

|-
|Andi Zhang ||
* added source masks in attention_decoder where calculates attention and in gru_cell where calculates new states.
* found the attribute sentence_length, perhaps it works better than my code
||

|-
|Shiyue Zhang ||
* figured out the problem of attention: the initial value of V should be around 0
* tested different modification, such as add mask, init b with 0.
* Compared the results, and concluded only change the initial value of V is the best.
||
* try to get right attention on memory
|-
|Peilun Xiao ||

||

|}

2017-3-6

2017-03-06T03:02:45Z

Zhangsy：以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/1/3 |Yang Feng || || |- |Jiyuan Zhang || || |- |Andi Zhang || || |- |Shiyue...”为内容创建页面

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/1/3
|Yang Feng ||
||
|-
|Jiyuan Zhang ||

||

|-
|Andi Zhang ||

||

|-
|Shiyue Zhang ||
* figured out the problem of attention: the initial value of V should be around 0
* tested different modification, such as add mask, init b with 0. Compared the results, and concluded only change the initial value of V is the best.
||
* try to get right attention on memory
|-
|Peilun Xiao ||

||

|}

Status report

2017-03-06T03:01:24Z

Zhangsy：

[[2017-3-6]]

[[2017-2-27]]

[[2017-2-20]]

[[2017-2-13]]

[[2017-2-6]]

[[2017-1-30]]

[[2017-1-23]]

[[2017-1-16]]

[[2017-1-10]]

[[2017-1-3]]

NLP Status Report 2017-2-20

2017-03-06T02:56:28Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/1/3
|Yang Feng ||
* prepare for IJCAI.
||
* improve baseline.
|-
|Jiyuan Zhang ||

||

|-
|Andi Zhang ||

||

|-
|Shiyue Zhang ||
* prepare for IJCAI.
||
* try to figure out the attention problem
|-
|Peilun Xiao ||

||

|}

NLP Status Report 2017-2-13

2017-03-06T01:13:15Z

Zhangsy：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/1/3
|Yang Feng ||
* prepare for ACL and IJCAI.
||
*prepare for IJCAI
|-
|Jiyuan Zhang ||

||

|-
|Andi Zhang ||

||

|-
|Shiyue Zhang ||
* prepare for ACL and IJCAI.
||
*prepare for IJCAI
|-
|Peilun Xiao ||

||

|}

Schedule

2017-03-02T00:29:48Z

Zhangsy：/* Daily Report */

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Shiyue Zhang (张诗悦)
* Li Gu (古丽)
* Peilun Xiao (肖培伦)

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney
* '''Shiyao Li （李诗瑶）''' : BUPT
* '''Aiting Liu (刘艾婷)''' : BUPT

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2017/2/5
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for ACL paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
| rowspan="4"|2017/2/6
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for ACL paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/7
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for ACL paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/8
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||11:30 || 20:00|| 6+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/9
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/10
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/11
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||14:30 || 20:00|| 5+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/13
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/14
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/15
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/16
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/17
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/18
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/19
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/21
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* found the reason of loss not go down
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/22
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:00 || 20:00|| 9+||
* use cos to computer alignments, and loss can go down
* replace original attention with cos attention, partly and fully train
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
| rowspan="3"|2017/2/27
|Andy Zhang|| || || ||
|-
|Shiyue Zhang || 9:30 || 19:00|| 8+ ||
* find the tanh linear problem
* use 20*cos replace tanh, get 44.8 blue

|-
|Peilun Xiao || || || ||
|-
| rowspan="3"|2017/2/28
|Andy Zhang|| 12:00||19:00 || 7||
*read theano code of NMT, try to find out how it generated encoder input masks
*did some coding of input masks on baseline_beam, need to be further tested
|-
|Shiyue Zhang || 9:30 || 19:00 || 8 +||
* add encoding and attention mask
* try to find the problem of mem attention

|-
|Peilun Xiao || || || ||
|-
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang
|-
|}

==Past progress==
[[nlp-progress 2017/01]]

[[nlp-progress 2016/12]]

[[nlp-progress 2016/11]]

[[nlp-progress 2016/10]]

[[nlp-progress 2016/09]]

[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

文件:Aligns cos.txt

2017-02-23T09:10:58Z

Zhangsy：

Schedule

2017-02-23T04:29:07Z

Zhangsy：/* Daily Report */

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Shiyue Zhang (张诗悦)
* Li Gu (古丽)
* Peilun Xiao (肖培伦)

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney
* '''Shiyao Li （李诗瑶）''' : BUPT
* '''Aiting Liu (刘艾婷)''' : BUPT

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2017/2/5
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for ACL paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
| rowspan="4"|2017/2/6
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for ACL paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/7
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for ACL paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/8
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||11:30 || 20:00|| 6+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/9
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/10
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/11
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||14:30 || 20:00|| 5+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/13
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/14
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/15
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/16
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/17
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/18
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/19
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* prepare for IJCAI paper
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/21
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:30 || 20:00|| 9+||
* found the reason of loss not go down
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|-
| rowspan="4"|2017/2/22
|Andy Zhang|| || || ||
|-
|Shiyue Zhang ||9:00 || 20:00|| 9+||
* use cos to computer alignments, and loss can go down
* replace original attention with cos attention, partly and fully train
|-
|Peilun Xiao || || || ||
|-
|Guli || || || ||
|-
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang
|-
|}

==Past progress==
[[nlp-progress 2017/01]]

[[nlp-progress 2016/12]]

[[nlp-progress 2016/11]]

[[nlp-progress 2016/10]]

[[nlp-progress 2016/09]]

[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

Schedule

2017-02-23T04:20:56Z

Zhangsy：/* Daily Report */