“2026-06-29”版本间的差异

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第6行: 第6行:
 
|Dong Wang
 
|Dong Wang
 
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* Double check AI handbook (primary/middle school version)
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* Work on high-education version
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第41行: 第44行:
 
|Yang Wei
 
|Yang Wei
 
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* Huilan
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** Search and verify turn detection and barge-in method for voice chat
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* Huawei
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** add reverb for real badcase (speech leak to song).
 
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第85行: 第91行:
 
|Junming Yuan
 
|Junming Yuan
 
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* prepare Mid-Term defence
 
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第119行: 第125行:
 
|Xiaoxue Luo
 
|Xiaoxue Luo
 
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* revise the USS-TDA paper
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* writing the rebuttal version and supplementing the experimental results for the ChainSep paper with tianhao
 
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第130行: 第137行:
 
|Bochao Hu
 
|Bochao Hu
 
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* on new benchmark(TOPICS), Qwen7B-VL is better than trans/ctc
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* on multi eval: Qwen7B-VL: 32.84%,  + ctc head: 31.31%, better than 25baseline: 31.55%
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* revise paper(the final version)
 
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第141行: 第150行:
 
|Hongcheng Zhang
 
|Hongcheng Zhang
 
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The AED model didnt benefit from the TTA data much
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*  learn the music seperatation code of huawei
 
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2026年6月29日 (一) 11:02的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Double check AI handbook (primary/middle school version)
  • Work on high-education version


Lantian Li
Wenqiang Du
  • music sep
  • AIbabel
    • New methord for Fewshot, neeed to control FA.
Yang Wei
  • Huilan
    • Search and verify turn detection and barge-in method for voice chat
  • Huawei
    • add reverb for real badcase (speech leak to song).
Yue Gu
Lily
Pengqi Li
Junming Yuan
  • prepare Mid-Term defence
Yu Zhang
  • GPU Util: [1]
  • Read some papers and surveys on self-evolving MAS, organized the development trajectories of different subfields, and considered possible directions I could work on. (Will share some papers on Friday)
Junhui Chen
  • Recent work sharing (soon)
Xiaoxue Luo
  • revise the USS-TDA paper
  • writing the rebuttal version and supplementing the experimental results for the ChainSep paper with tianhao
Bochao Hu
  • on new benchmark(TOPICS), Qwen7B-VL is better than trans/ctc
  • on multi eval: Qwen7B-VL: 32.84%, + ctc head: 31.31%, better than 25baseline: 31.55%
  • revise paper(the final version)
Hongcheng Zhang
  • The AED model didnt benefit from the TTA data much
  • learn the music seperatation code of huawei
Weiman Sun
Shuailong Li