cslt Wiki - 用户贡献 [zh-cn]

2019-05-24

2019-05-23T10:11:14Z

Jiangxiuqi：

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!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Compiling the data of planning and training set, unifying data formats
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* Re-plan training set using planning results
* Doing summary work
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2019-05-24

2019-05-23T10:02:53Z

Jiangxiuqi：以“{| class="wikitable" !People !! This Week !! Next Week !! Task Tracking (DeadLine) |- |- |Yibo Liu || * || * || * |- |- |Xiuqi J...”为内容创建页面

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Status report

2019-05-23T09:59:19Z

Jiangxiuqi：

[[2019-05-24]]

[[2019-05-17]]

[[2019-05-10]]

[[2019-04-26]]

[[2019-03-13]]

[[2019-02-27]]

[[2019-02-20]]

[[2019-01-23]]

[[2019-01-16]]

[[2019-01-09]]

[[2019-01-02]]

2019-05-17

2019-05-16T15:06:55Z

Jiangxiuqi：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Recompiled the 1031k dataset and retrained the Seq2seq model.
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* Justify the loss and fix the rhyme part.
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|Jiayao Wu
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*did some experiments of adaboost on ASR and have some basic results
*working on the speechbook
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*keep on doing experiments on larger data_set.
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|Zhaodi Qi
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* Do experiment on Mult-scale information.
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* Do experiment on Multi-language BN
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|Jiawei Yu
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|Haolin Chen
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|Haoran Sun
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* did some tests on Fn asr engine
* corrected some errors in the speech-book
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* continue testing on the robustness of Fn asr engine
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2019-05-10

2019-05-10T06:13:28Z

Jiangxiuqi：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Merge code with Yibo and clean up current Vivi
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* Polish up baselines and add extra regularizations to seq2seq loss
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|Jiayao Wu
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|Zhaodi Qi
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* Summarized the previous experiments and explored new methods.
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* Complete the experiment of Mult-scale information and Modify the speech book
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|Jiawei Yu
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2019-05-10

2019-05-10T06:10:13Z

Jiangxiuqi：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Merge code with Yibo and clean up current Vivi
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|Jiayao Wu
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|Zhaodi Qi
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* Summarized the previous experiments and explored new methods.
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* Complete the experiment of Mult-scale information and Modify the speech book
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|Jiawei Yu
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2019-02-20

2019-02-20T04:38:14Z

Jiangxiuqi：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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* Reconstructed the model on pytorch.
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* 1.Tune the parameters and train a model with good results.
* 2.Add planning and polishing procedure.
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|Xiuqi Jiang
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* Reproducing the planning part and provide a simple framework of planning procedure.
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* Post polishing still remains to be finished.
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|Jiayao Wu
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*finished several experiments on node-sparseness
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*keep on doing experiments
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|Zhaodi Qi
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* finished x-vector system
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* improve the system ，because the results is bad.
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|Jiawei Yu
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* Familiar with the code of attention experiment.
* Modify the code to achieve phonetic attention.
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* finish the phonetic attention experiment.
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|Yunqi Cai
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*1,use the ASR test_data set ref.txt to test the original bert and then compare with the fine-tuned Bert.
*2,compare the difference between hyp.text which comes from ASR test results, and investigate how to mask the error in the sentence of the ASR result.
*3,set a rule among all the result(hyp.text) to find out the error to be masked.
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|Dan He
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*Continue to study the time complexity of TT-decomposition
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|Yang Zhang
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|Wenwei Dong
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*ivector+fbank as feature compare with fbank in GOP
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*read papers, find some new speaker adaptation methods
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2019-02-04

2019-01-27T02:21:14Z

Jiangxiuqi：

$ Happy new year :) $

{| class="wikitable"
!People !! Day home !! Day back !! Life Tracking
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|Yibo Liu
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|Xiuqi Jiang
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1月23日
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2月24日
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|Jiayao Wu
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1月25日
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2月13日
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|Zhaodi Qi
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1月31日
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预计2月13日（抢票中）
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|Jiawei Yu
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1月30号
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预计2月11号（不过还没抢到票）
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|Yunqi Cai
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|Dan He
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|Yang Zhang
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01-24
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02-17
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|Wenwei Dong
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1月30号
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预计2月14号
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2019-01-23

2019-01-23T00:54:58Z

Jiangxiuqi：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Designed a better code structure for further experiments.
* Improved vivi2.0 and made some adjustments to .sh script.
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* Build codes under the new structure.
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|Jiayao Wu
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2019-01-23

2019-01-23T00:50:16Z

Jiangxiuqi：

{| class="wikitable"
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2019-01-23

2019-01-23T00:49:33Z

Jiangxiuqi：以“ {| class="wikitable" !People !! Last Week !! This Week !! Task Tracking (DeadLine) |- |- |Yibo Liu || * || * |- |- |Xiuqi Jiang...”为内容创建页面

{| class="wikitable"
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Status report

2019-01-23T00:47:30Z

Jiangxiuqi：

[[2019-01-23]]

[[2019-01-16]]

[[2019-01-09]]

[[2019-01-02]]

[[2018-12-26]]

[[2018-12-19]]

[[2018-12-12]]

[[2018-12-05]]

[[2018-11-28]]

[[Past]]

2019-01-16

2019-01-16T03:42:08Z

Jiangxiuqi：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Focused back on the quatrain generation, thinking of the drawbacks of current model.
* Tried to weaken the attention mechanism between sentences.
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* Add VAE into model and try to generate instead of predicting.
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|Jiayao Wu
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|Zhaodi Qi
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|Jiawei Yu
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|Yunqi Cai
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*1.Run through the bert model. 2.study the details of the bert model.
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|Dan He
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|Yang Zhang
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* exam week.
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* (I will finish all my exams on Friday night)
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2019-01-09

2019-01-09T04:06:46Z

Jiangxiuqi：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Went deeper into current model and discussed about the possibility of VAE
* Song iambics can now be generated and different styles of tunes are available
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* Polish up the iambics parts
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|Jiayao Wu
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* finished the speech book -- [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Kws.pdf kws]
* doing experiment of node -pruning on WSJ chain model
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* keep on node-pruning research
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|Zhaodi Qi
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* Run LID (about Chinese English and Japanese) and Control configs_size within 20M，But it still running.
* Data segmentation completed, and Waiting for test.
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* Finish the speech book
* Completion the tdnn system performance comparison of test sets of different lengths
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|Jiawei Yu
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* Done for max-margin recipe.
* write the speech book.
* learn to use Tensorflow for attention experiment.
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* finish the emotion recognition speech book.
* Keep learning the Tensorflow and move max-margin experiment to this platform.
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|Yunqi Cai
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|Dan He
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* Compared the inference time, but the results is not well.
*After TT decomposing the two full-connection layers, it is found that the testing accuracy is very low.
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*According to some problems found in the experiment, continue to do comparative experiments and analyze the reasons.
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|Yang Zhang
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* Wrote a brief [https://github.com/zyzisyz/VPR-wx-client document]
* submited the source code to [https://gitlab.com/zyzisyz/nebula-listen GitLab].
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* revise for my school subjects and prepare for the final-term examinations.
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*
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2019-01-02

2019-01-03T02:44:05Z

Jiangxiuqi：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Made further adjustments to code, deleting unnecessary files and uploading generated samples to dir 'predict/results'.
* More models have been trained and compared.
* Collated notes on ML book and uploaded them on wiki.
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* Try to train a model generating length-unfixed texts.
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|Jiayao Wu
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|Zhaodi Qi
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|Jiawei Yu
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|Yunqi Cai
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|Dan He
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|Yang Zhang
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* Released and published our WeChat app(星云听).
* cleaned my code
* wrote document for this project (have not finished yet).
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* continue to write document.
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*
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ML book

2019-01-02T05:52:07Z

Jiangxiuqi：

'''Introduction to Modern Machine Learning Technology, by Dong Wang, [http://mlbook.cslt.org Official website].
'''

----

Reading notes of interns
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a6/CSLTBOOK读书笔记.pdf Jiayao Wu (吴嘉瑶)]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ec/读书笔记——于嘉威.pdf Jiawei Yu (于嘉威)]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b1/机器学习读书笔记_姜修齐.pdf Xiuqi Jiang (姜修齐)]

ML book

2019-01-02T05:50:30Z

Jiangxiuqi：

文件:机器学习读书笔记姜修齐.pdf

2019-01-02T05:49:04Z

Jiangxiuqi：CSLT现代机器学习技术导论读书笔记整理

CSLT现代机器学习技术导论读书笔记整理

2018-12-26

2018-12-26T02:24:05Z

Jiangxiuqi：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Finished cleaning up the code of ViVi and completed the document.
* Did some reconstruction and made training and predicting processes more clearly.
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* Try to build demo of generating iambics.
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|Jiayao Wu
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|Zhaodi Qi
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|Jiawei Yu
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|Yunqi Cai
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*Learn how to use Xhell, Linux and Kaldi.
*Be familiar with the functions of Kaldi through run "Thchs30" on it.
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*Run through "Thchs30" on Kaldi and learn every steps
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|Dan He
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|Yang Zhang
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* Built a more reliable speaker recognition service in our server.
* Now, we can test and use 3 kind of VPR models(ours, Microsoft and SpeakIN) in our Wechat APP.
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* Fix some small bugs, beautify web UI design.
* Prepare for my final-term examinations.
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*
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2018-12-19

2018-12-19T01:36:47Z

Jiangxiuqi：

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!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Reconstructed codes and made adjustments on training part.
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* Focus on generating Song Iambics.
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|Jiayao Wu
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|Zhaodi Qi
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|Jiawei Yu
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|Yunqi Cai
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|Dan He
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|Yang Zhang
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* 1. investigated VPR service and wrote a investigation report.
* 2. Tested Microsoft and SpeakIn's VPR interface.
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* try to release a stable WeChat APP at the end of this month.
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*
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2018-12-12

2018-12-12T02:57:41Z

Jiangxiuqi：

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!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Learned TensorFlow documents about seq2seq model and made adjustments on vivi's params
* Had some problems on encoder-memory and decoder-memory, and was trying to figure out the difference
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* Make adjustments on vivi
* Reproduce codes on Song Iambics generation
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*
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|Jiayao Wu
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* run the AISHELL2 baseline
* read a few papers about low-rank matrix factorization for NN
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* organize the fragment information and form a knowledge system of compression as soon as possible
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|Zhaodi Qi
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|Jiawei Yu
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|Yunqi Cai
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|Dan He
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*Read papers about tensor decompositions
*Prepared a paper sharing about tensorizing neural work
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*Run the code for the experimental part of the paper
*Learn more about the details
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|Yang Zhang
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* 1.refactored my code and accelerated VPR speed.
* 2.modified some references error in Machine Learning book.
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* try to release a stable app as soon as possible.
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2018-12-12

2018-12-12T02:20:30Z

Jiangxiuqi：

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!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Learned TensorFlow documents about seq2seq model and made adjustments on vivi, especially the buckets parts
* Had some problems on encoder-memory and decoder-memory, and was trying to figure out the difference
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* Make adjustments on vivi
* Reproduce codes on Song Iambics generation
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|Jiayao Wu
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|Zhaodi Qi
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|Dan He
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|Yang Zhang
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* 1.refactored my code and accelerated VPR speed.
* 2.modified some references error in Machine Learning book.
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* try to release a stable app as soon as possible.
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*
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2018-12-05

2018-12-07T10:05:50Z

Jiangxiuqi：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
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|Yibo Liu
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|Xiuqi Jiang
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* Discussed code reconstruction work with Yibo Liu and set forth the aims of simplification and modularization.
* Made research on meta learning and zero-shot learning, preparing for a weekly report.
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* Quicken the pace of code reconstruction.
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*
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|Jiayao Wu
||
* do research on ASR data size for End2End
* do research on training tricks for End2End ASR of Mandarin & Japanese
* finish a baseline on WSJ
||
* finish the baseline on AISHELL2
* do some research on compression
||
*
|-

|-
|Zhaodi Qi
||
* Made a confusion matrix for Various dialects
* Added svm after ivector
* summarized the entry system method of the dialect finals.
* Learned cnn+ctcloss and tensorflow
||
* Add acc for ptn
||
*
|-

|-
|Jiawei Yu
||
* learn the method of attention for SRE
* Read papers about joint learning method combine PLDA.
||
* Establish the attention baseline of SRE
||
*
|-

|-
|Yunqi Cai
||
*
||
*
||
*
|-

|-
|Dan He
||
* 1.Read the first part of the book "Tensor Networks for Dimensionality Reduction and Large-Scale Optimization" written by Andrzej Cichocki and Ivan Oseledets.
*2. Initial understanding of the CP decomposition and Tucker decomposition,but the TT decomposition has not yet understand.
||
*1.Continue read the book to study the TT decomposition.
*2. Prepare a paper sharing about tensor decomposition.
||
*
|-

|-
|Yang Zhang
||
* 1. Released my VPR app, and Published it in WeChat.
* 2. Wrote a patent about speaker recognition.
||
* Optimize and update my code. Add more functions in this VPR app.
||
*
|-

|}

Weekly meeting

2018-12-06T02:31:50Z

Jiangxiuqi：

*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] ||
|-
| rowspan="1"|2017/6/26 || Jiyuan Zhang || Chinese poem generation using neural model || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/50/Flexible_and_Creative_Chinese_Poetry_Generation_Using_Neural_Memory_.pptx slides] ||
|-
| rowspan="1"|2017/6/21 || Miao Zhang || Speaker recognition on cough,laugh and wei ||
[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f6/Zm_cough.pdf slides]
||
|-
| rowspan="1"|2017/7/10 || Aodong Li || Enhanced Neural Machine Translation by Learning from Draft || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/ca/Learning_from_draft.pptx slides] ||
|-
| rowspan="1"|2017/7/17 || Lantian Li || Study on Speaker Recognition || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ec/170716-Study_on_SRE.pdf slides] ||
|-
| rowspan="1"|2018/12/6 || Xiuqi Jiang || Meta-Learning and Zero-Shot Learning || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/18/181205_Meta-Learning_and_Zero-Shot_Learning_JXQ.pdf slides] ||
|-
|}

2018-11-28

2018-11-28T01:36:07Z

Jiangxiuqi：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Have been following CS224n and learning details about language model.
* Read codes and watched over-fitting problems during practice.
* Compared codes on couplet generating and ViVi.
||
* Read the paper "Generating Sentences from a Continuous Space” and work out how VAE goes for sentences.
* Complete current models.
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*
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|Jiayao Wu
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*
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*
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*
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|Zhaodi Qi
||
*
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*
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*
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|Jiawei Yu
||
*
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*
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*
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|Dan He
||
*
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*
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*
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|Yang Zhang
||
*
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*
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*
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|}

cslt Wiki - 用户贡献 [zh-cn]

2019-05-24

2019-05-24

Status report

2019-05-17

2019-05-10

2019-05-10

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2019-01-23

2019-01-23

Status report

2019-01-16

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ML book

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文件:机器学习读书笔记 姜修齐.pdf

2018-12-26

2018-12-19

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2018-12-05

Weekly meeting

2018-11-28

文件:机器学习读书笔记姜修齐.pdf