“2025-12-22”版本间的差异

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（17位用户的20个中间修订版本未显示）
第6行： 第6行：
 
|Dong Wang
 
|Dong Wang
 
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*  
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* AI textbook high school grad-2 (6/12)
 +
* AIGE 2025 seminar
 +
 
 
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*
 
*
第17行： 第19行：
 
|Lantian Li
 
|Lantian Li
 
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*  
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* Complete the 2nd review of AI Book (High School).
 +
* Go on an MoE business trip.
 +
* Submit the Phase I proposal for the Huang Danian Project.
 
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*
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* MLA book final check.
 
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*
 
*
第28行： 第32行：
 
|Ying Shi
 
|Ying Shi
 
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*  
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* ICASSP rebuttal
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* thesis
 
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*  
 
*  
第39行： 第44行：
 
|Zhenghai You
 
|Zhenghai You
 
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*  
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* Complete the Hubert iterative adaptation Exp, and the result is slightly worse than baseline in clean enroll(~0.9). Trying to test on noisy enroll
 
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*
 
*
第50行： 第55行：
 
|Junming Yuan
 
|Junming Yuan
 
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*  
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* ICASSP rebuttal
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* MT-HuBERT exp
 
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*
 
*
第61行： 第67行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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*  
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* PhD Application
 
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*  
 
*  
第72行： 第78行：
 
|Zehua Liu
 
|Zehua Liu
 
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*
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*Iterative Decoding Exp for graduation thesis
 
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*
 
*
第83行： 第89行：
 
|Pengqi Li
 
|Pengqi Li
 
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−
*
+
* Quantitatively measure the reliability of 7 Saliency map methods for speaker verification. (FGGB, SSAB, Corr-RISE, SFAM, three CAMs)
 +
**Conclusion: Corr-RISE and LayerCAM are relatively reliable methods.
 
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*
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* Start drafting the report for paper
 
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*
 
*
第94行： 第101行：
 
|Tianhao Wang
 
|Tianhao Wang
 
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*  
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* finish ChainSep paper
 
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*
 
*
第105行： 第112行：
 
|Xiaoxue Luo
 
|Xiaoxue Luo
 
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*  
+
* paper sharing
 +
* 2-mix experiment of attractor-based SS
 
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*
 
*
第116行： 第124行：
 
|Junhui Chen
 
|Junhui Chen
 
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−
*
+
* LLM
 +
** merge metrics detection module into swarm pipline (done)
 +
** check some code recently written by ZhangYu
 +
* finished HUAWEI demo web developing
 
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−
*
+
* write analysis code for swarm
 +
* do homework and prepare for some final exams
 
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*
 
*
第127行： 第139行：
 
|Jiaying Wang
 
|Jiaying Wang
 
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−
*
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* spk model code finished and training
 
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*
 
*
第138行： 第150行：
 
|Yu Zhang
 
|Yu Zhang
 
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*  
+
* GPU Util: https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh
 +
* LLM
 +
** Completed the implementation and metric collection for the reversal curse experiment; results are still under analysis.
 +
** Completed the Qwen-based metric collection implementation to support stronger base model performance.
 +
* help @chenjunhui for Huawei gradio demo deploy
 +
 
 
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−
*
+
* Obtain some quantitative results from the Reversal Curse latent learning experiments.
 +
* Need to work on some homework and prepare for the final exams.
 
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*
 
*
第149行： 第167行：
 
|Wenqiang Du
 
|Wenqiang Du
 
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−
*  
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* Rebuttal the reviewers' comments about high school AI course's draft(done)
 +
* Some work about project
 +
** Huawei and AIbabel
 
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*
 
*
第160行： 第180行：
 
|Yang Wei
 
|Yang Wei
 
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−
*  
+
* MD experiment for SSL frontend baseline, and some other result analysis for ICCASP rebuttal.[https://z1et6d3xtb.feishu.cn/docx/QGKwdgXoIoWW40xafrTcVUcNnoh?from=from_copylink]
 
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*
 
*
第171行： 第191行：
 
|Yue Gu
 
|Yue Gu
 
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*  
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* write my Phd thesis
 
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*
 
*
第195行： 第215行：
 
|Bochao Hu
 
|Bochao Hu
 
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−
*  
+
* the latest epoch's per: 33.6%, it will be a better result after training
 +
* preparing for running a whole pipeline
 
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||
 
*
 
*
第206行： 第227行：
 
|Hongcheng Zhang
 
|Hongcheng Zhang
 
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−
*  
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* did research for ASU-LLM tasks
 
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*
 
*

2025年12月22日 (一) 10:52的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • AI textbook high school grad-2 (6/12)
  • AIGE 2025 seminar
Lantian Li
  • Complete the 2nd review of AI Book (High School).
  • Go on an MoE business trip.
  • Submit the Phase I proposal for the Huang Danian Project.
  • MLA book final check.
Ying Shi
  • ICASSP rebuttal
  • thesis
Zhenghai You
  • Complete the Hubert iterative adaptation Exp, and the result is slightly worse than baseline in clean enroll(~0.9). Trying to test on noisy enroll
Junming Yuan
  • ICASSP rebuttal
  • MT-HuBERT exp
Xiaolou Li
  • PhD Application
Zehua Liu
  • Iterative Decoding Exp for graduation thesis
Pengqi Li
  • Quantitatively measure the reliability of 7 Saliency map methods for speaker verification. (FGGB, SSAB, Corr-RISE, SFAM, three CAMs)
    • Conclusion: Corr-RISE and LayerCAM are relatively reliable methods.
  • Start drafting the report for paper
Tianhao Wang
  • finish ChainSep paper
Xiaoxue Luo
  • paper sharing
  • 2-mix experiment of attractor-based SS
Junhui Chen
  • LLM
    • merge metrics detection module into swarm pipline (done)
    • check some code recently written by ZhangYu
  • finished HUAWEI demo web developing
  • write analysis code for swarm
  • do homework and prepare for some final exams
Jiaying Wang
  • spk model code finished and training
Yu Zhang
  • GPU Util: https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh
  • LLM
    • Completed the implementation and metric collection for the reversal curse experiment; results are still under analysis.
    • Completed the Qwen-based metric collection implementation to support stronger base model performance.
  • help @chenjunhui for Huawei gradio demo deploy
  • Obtain some quantitative results from the Reversal Curse latent learning experiments.
  • Need to work on some homework and prepare for the final exams.
Wenqiang Du
  • Rebuttal the reviewers' comments about high school AI course's draft(done)
  • Some work about project
    • Huawei and AIbabel
Yang Wei
  • MD experiment for SSL frontend baseline, and some other result analysis for ICCASP rebuttal.[1]
Yue Gu
  • write my Phd thesis
Lily
  • AIGE Annual Forum（December 19th）
  • ICASSP author respond
  • Thesis
Bochao Hu
  • the latest epoch's per: 33.6%, it will be a better result after training
  • preparing for running a whole pipeline
Hongcheng Zhang
  • did research for ASU-LLM tasks
取自“http://cslt.org/mediawiki/index.php?title=2025-12-22&oldid=43729”