“2025-12-08”版本间的差异

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第6行: 第6行:
 
|Dong Wang
 
|Dong Wang
 
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* MD paper done
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* AI handbook middel school 2 grad almost done.
  
 
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第18行: 第19行:
 
|Lantian Li
 
|Lantian Li
 
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* 2nd round AI Book Check – High School Edition (2/4).
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* MoE project matters.
 
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第29行: 第31行:
 
|Ying Shi
 
|Ying Shi
 
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* thesis
 
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第65行: 第67行:
 
|Xiaolou Li
 
|Xiaolou Li
 
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*  
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* Refine RP and other application materials
 +
* Meet and talk with some people
 
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*  
第88行: 第91行:
 
|Pengqi Li
 
|Pengqi Li
 
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*
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* Investigate metric learning explainability methods, including those applied in speaker recognition verification tasks and other fields such as image processing.
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* Transfer four metric learning explainability methods (FGGB, SSAB, Corr-RISE, SFAM) from the image field to speaker verification.
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* AI course of Tsinghua University Middle School.
 
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第94行: 第99行:
 
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|Wan Lin
 
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第134行: 第127行:
 
|Junhui Chen
 
|Junhui Chen
 
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*
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* had a fever, rest for a while
 +
* come back today
 +
** discuss with @ZhangYu
 +
** HUAWEI gradio demo (2/5)
 
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*
 
*
第145行: 第141行:
 
|Jiaying Wang
 
|Jiaying Wang
 
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*
+
* recurring fevers after flu, still not fully recovered
 +
* content experiment training finished
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* loudness experiment 2mix, 3mix training finished
 
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第156行: 第154行:
 
|Yu Zhang
 
|Yu Zhang
 
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*  
+
* GPU Util [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh?from=from_copylink]
 +
* LLM
 +
** Reflection methods that provide more detailed feedback (for example, offering a full solution rather than just keywords describing the mistake) are more likely to receive higher ECS scores.
 +
** When LLMs use Reflection feedback, ECS and PKS scores exhibit a strong negative correlation.
 
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第167行: 第168行:
 
|Wenqiang Du
 
|Wenqiang Du
 
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*  
+
* Rebuttal the reviewers' comments about high school AI course's draft
 +
* Calendar content preparation
 +
* Some company matters
 +
** New kws model update(aibabel)
 +
** project acceptance (核二院)
 
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*
 
*
第178行: 第183行:
 
|Yang Wei
 
|Yang Wei
 
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*  
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* More partial fine-tune experiments for MD paper[https://z1et6d3xtb.feishu.cn/docx/Qu1yd5vdDoggfIxvGknclp0ongg?from=from_copylink]
 
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第196行: 第201行:
 
*
 
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|Qi Qu
+
|Lily
 
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*  
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* AIGE Annual Forum
 +
* Journal paper submission
 
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*
第207行: 第215行:
  
 
|-
 
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|Lily
+
| Bochao Hu
 
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* AIGE Annual Forum
+
* Biweekly report
* Journal paper submission
+
* P2S bug and result [https://z1et6d3xtb.feishu.cn/wiki/D2UpwqQ6vi8aN4kCVVmcwUeuncd]
 
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2025年12月8日 (一) 11:04的版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • MD paper done
  • AI handbook middel school 2 grad almost done.
Lantian Li
  • 2nd round AI Book Check – High School Edition (2/4).
  • MoE project matters.
Ying Shi
  • thesis
Zhenghai You
  • Some support work for Huawei SS project
  • Iterative Adaptation TSE:
    • Complete the training framework code
    • Training 16k Base model and IRA model as baselines to adapt to Hubert or WavLM
Junming Yuan
Xiaolou Li
  • Refine RP and other application materials
  • Meet and talk with some people
Zehua Liu
  • interview
  • writing code of VLLM Iterative Decode
Pengqi Li
  • Investigate metric learning explainability methods, including those applied in speaker recognition verification tasks and other fields such as image processing.
  • Transfer four metric learning explainability methods (FGGB, SSAB, Corr-RISE, SFAM) from the image field to speaker verification.
  • AI course of Tsinghua University Middle School.
Tianhao Wang
  • ChainSep paper (Chinese version is almost done)
Xiaoxue Luo
  • attractor-based speech separation:2-mix training
    • 40% overlap rate: sisdr = 8.024
    • random overlap rate: sisdr = 9.519
Junhui Chen
  • had a fever, rest for a while
  • come back today
    • discuss with @ZhangYu
    • HUAWEI gradio demo (2/5)
Jiaying Wang
  • recurring fevers after flu, still not fully recovered
  • content experiment training finished
  • loudness experiment 2mix, 3mix training finished
Yu Zhang
  • GPU Util [1]
  • LLM
    • Reflection methods that provide more detailed feedback (for example, offering a full solution rather than just keywords describing the mistake) are more likely to receive higher ECS scores.
    • When LLMs use Reflection feedback, ECS and PKS scores exhibit a strong negative correlation.
Wenqiang Du
  • Rebuttal the reviewers' comments about high school AI course's draft
  • Calendar content preparation
  • Some company matters
    • New kws model update(aibabel)
    • project acceptance (核二院)
Yang Wei
  • More partial fine-tune experiments for MD paper[2]
Yue Gu
  • go back to Harbin
  • write the Phd Thesis
Lily
  • AIGE Annual Forum
  • Journal paper submission
Bochao Hu
  • Biweekly report
  • P2S bug and result [3]