“Delivery-2016”版本间的差异

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Talks
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=Talks=
 
=Talks=
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{| class="wikitable"
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! Date !! Speaker!! Title !! Materials !! On duty
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| 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]]|| 
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| rowspan="1"|2016/1/18  || Dongxu Zhang || Memoryless Document Vector ||[[媒体文件:Memoryless_document_vector.pdf|slides]]||
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|-
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| rowspan="1"|2016/3/14  || Zhiyuan Tang|| Oral presentation for "vMF-SNE: Embedding for Spherical Data"|| [[媒体文件:embedding.pdf|slides]] || 
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|-
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| 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] || 
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| 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] || 
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|-
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| 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]  ||
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| 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]  ||
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| 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]||
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|-
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| rowspan="1"|2016/5/20  || Zhiyuan Tang || ICASSP 2016 summary || [[媒体文件:Note icassp16.pdf|slides]] ||
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|-
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| 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]]  ||
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| rowspan="1"|2016/8/02 || Zhiyuan Tang || Visualizing, Measuring and Understanding Neural Networks: A Brief Survey|| [[媒体文件:Nn analysis.pdf|slides]] ||
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| 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] ||
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|-
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| 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] ||
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| rowspan="1"|2016/11/22 || Zhiyuan Tang || INTERSPEECH 2016 summary || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/65/Interspeech16_review.pdf slides] ||
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| 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] ||
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|}
  
 
=Database=
 
=Database=

2017年1月5日 (四) 01:15的版本

Technical report

  1. TRP-20160013: Sparse Discriminative Analysis and Its Application in Distraction Classification, Dong Wang
  2. TRP-20160010: Highly Restricted Keyword Selection Based on Sparse Analysis for Uyghur Text Categorization, Dong Wang, Askar Humdulla, Rayilam Parhat, Javier Tejedor
  3. TRP-20160009: RNNG Code User Guide, Shiyue Zhang and Yang Feng
  4. TRP-20160008: Different styles of poetry generation based on memory model, Jiyuan Zhang,Yang Feng and Dong Wang
  5. TRP-20160007: Distraction Detection Using Sparse Discriminative Analysis, Dong Wang and Guozhen Zhao
  6. TRP-20160006: Visualization Analysis for Recurrent Networks, Zhiyuan Tang, Ying Shi and Dong Wang
  7. TRP-20160005: Distributed Representation Learning for Knowledge Graphs with Entity Descriptions; Miao Fan, Qiang Zhou, Thomas Fang Zheng, Ralph Grishman
  8. TRP-20160004: A Review of Neural QA, Tianyi Luo and Dong Wang
  9. TRP-20160003: A study of Similar Word Model for Unfrequent Word Enhancement in Speech Recognition, Xi Ma, Dong Wang and Javier Tejedor
  10. TRP-20160002: Low-Frequency Words Embedding, Chao Xing, Yiqiao Pan, Dong Wang
  11. TRP-20160001: Max-margin metric learning for speaker recognition, Lantian Li, Chao Xing, Dong Wang

Patent

  1. 王东 邢超 张之勇 赵梦原 一种面向混合语言的语音合成方法 [FreeNeb] 交底书
  2. 王东 张之勇 赵梦原 黄伟明 李国强,一种日语语音识别系统训练方法 [同方] 交底书
  3. 汪洋,王东,刘荣 在线强化学习交易策略 [张露] 文底书
  4. 王东,白紫薇,冯洋,杜新凯,游士学,基于LSTM模型的现代文到古诗的转换技术 [汇联] 交底书
  5. 王东,张记袁,冯洋,杜新凯,游士学, 一种基于共同语义空间的个性化音乐生成技术 [汇联] 交底书

Talks

Date Speaker Title Materials On duty 2016/1/4 Zhiyong Zhang Parallel training,MPE and natural gradient slides
2016/1/18 Dongxu Zhang Memoryless Document Vector slides
2016/3/14 Zhiyuan Tang Oral presentation for "vMF-SNE: Embedding for Spherical Data" slides
2016/3/28 Tianyi Luo Review for Neural QA slides
2016/4/11 Rong Liu Recommendation in Youku slides
2016/5/09 Miao Fan Learning contextual embeddings of knowledge base with entity descriptions. slides
2016/5/16 Yang Wang Research on conversation thread detection. slides
2016/5/20 Yang Wang & Maoning Wang Research on portfolio selection. slides1 slides2
2016/5/20 Zhiyuan Tang ICASSP 2016 summary slides
2016/5/23 Dong Wang graphical model and neural model slides papers
2016/8/02 Zhiyuan Tang Visualizing, Measuring and Understanding Neural Networks: A Brief Survey slides
2016/8/03 Yang Wang Neural networks and genetic programming for financial forecasting slides
2016/11/05 Yang Wang Reinforcement Learning Models and Simulations slides
2016/11/22 Zhiyuan Tang INTERSPEECH 2016 summary slides
2016/11/30 Dong Wang Deep and sparse learning in speech and language: an overview slides

Database

name type size dir description
lyric text - corpora/art/lyric song lyric data collected by Jiyuan Zhang
poem text - corpora/art/poem Traditional Chinese poem data collected by Qixin Wang and Jiyuan Zhang
cnsong text - corpora/art/song Chinese Song sentences collected by Aiting Liu
factordb transaction - corpora/finance/factordb Factor database collected by Wangyang

Code

Code Name Author Description
viewExp Wang Yang The experiment platform of the Finance team link
vvBeam Wang Dong Beamforming using superdirective array link

Model and System