“2025-09-22”版本间的差异

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（10位用户的17个中间修订版本未显示）
第6行： 第6行：
 
|Dong Wang
 
|Dong Wang
 
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* Travel to Gaungxin
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* AI handbook English version (primary) almost done
  
 
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第44行： 第45行：
 
|Zhenghai You
 
|Zhenghai You
 
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* Mutli-step Infering
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** Try to use a pre-train model with different sampling rates（it work）
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** Try multi-step infering in DPRNN (it work)
 +
** Reproduce the current Sota TSE model - X-TFgridNet
 
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第66行： 第70行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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* Rewrite s2s finetune code with avhubert framework
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* Design specific speaker VTS experiment
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* PhD application
 
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第77行： 第83行：
 
|Zehua Liu
 
|Zehua Liu
 
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*get sick and relax
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*read some paper about Visual Speech Recognition
 
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第99行： 第106行：
 
|Wan Lin
 
|Wan Lin
 
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*  
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* permission request for figures in English book
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* SFT for knowledge unlearning and context reasoning [https://z1et6d3xtb.feishu.cn/wiki/NJLtw3l1Xi2xQBkUpCbcRic9nOh?from=from_copylink]
 
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第110行： 第118行：
 
|Tianhao Wang
 
|Tianhao Wang
 
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* ChainSep experiments & paper writing
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* job hunting and interviews
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* some support work for graduate recommendation
 
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第133行： 第143行：
 
|Junhui Chen
 
|Junhui Chen
 
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* found a survey about reflection [https://arxiv.org/pdf/2308.03188], plan to follow different ways of reflection in it
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* found a self-reflection inference pipline paper [https://arxiv.org/abs/2405.06682], applying its code to help building our code
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** Completed the reflection inference pipeline of CK-PLUG mix ReDEeP
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* rewriting the inference code to verify whether the performance of ckplug and redeep is consistent in our model (Verification successful)
 
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第159行： 第172行：
 
|Yu Zhang
 
|Yu Zhang
 
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* Completed the reflection inference pipeline of CK-PLUG mix ReDEeP, following a [survey paper](https://arxiv.org/abs/2405.06682)
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* Completed the reflection inference pipeline of CK-PLUG mix ReDEeP, following a paper [https://arxiv.org/abs/2405.06682]
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* Reproduced the experiments from [survey paper](https://arxiv.org/abs/2405.06682) using our model (base model: llama-2-7b-hf) to check if there are any bugs, with performance closely matching the reported results.
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* Reproduced the experiments from paper using our model (base model: llama-2-7b-hf) to check if there are any bugs, with performance closely matching the reported results.
 
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第182行： 第195行：
 
|Yang Wei
 
|Yang Wei
 
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* Keep working on MD experiment.
 
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第193行： 第206行：
 
|Yue Gu
 
|Yue Gu
 
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* working on my thesis and seeking career opportunities.
 
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2025年9月22日 (一) 11:23的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Travel to Gaungxin
  • AI handbook English version (primary) almost done
Lantian Li
  • Polish the ICASSP 2026 paper
  • Discussions on the HUAWEI project
  • Graduate recommendation interview
  • Review AI Book - College Version (2/53)
Ying Shi
  • 2 ICASSP Paper
Zhenghai You
  • Mutli-step Infering
    • Try to use a pre-train model with different sampling rates（it work）
    • Try multi-step infering in DPRNN (it work)
    • Reproduce the current Sota TSE model - X-TFgridNet
Junming Yuan
  • ICASSP26 paper final revise
  • Grade 7 AI practice book(Done) and Grade 8 AI practice book(1/10)
Xiaolou Li
  • Rewrite s2s finetune code with avhubert framework
  • Design specific speaker VTS experiment
  • PhD application
Zehua Liu
  • get sick and relax
  • read some paper about Visual Speech Recognition
Pengqi Li
Wan Lin
  • permission request for figures in English book
  • SFT for knowledge unlearning and context reasoning [1]
Tianhao Wang
  • ChainSep experiments & paper writing
  • job hunting and interviews
  • some support work for graduate recommendation
Xiaoxue Luo
  • Supplement experiments to the paper
  • read the paper related to my thesis proposal
Junhui Chen
  • found a survey about reflection [2], plan to follow different ways of reflection in it
  • found a self-reflection inference pipline paper [3], applying its code to help building our code
    • Completed the reflection inference pipeline of CK-PLUG mix ReDEeP
  • rewriting the inference code to verify whether the performance of ckplug and redeep is consistent in our model (Verification successful)
Jiaying Wang
  • reproduce sot: use current encoder dosen't work
  • use pretrained asr model for separation
    • training pure asr module (to determine separation order)
    • code done
  • reconstructing code (finished in 1-2 days)
Yu Zhang
  • Completed the reflection inference pipeline of CK-PLUG mix ReDEeP, following a paper [4]
  • Reproduced the experiments from paper using our model (base model: llama-2-7b-hf) to check if there are any bugs, with performance closely matching the reported results.
Wenqiang Du
  • Primary AI practice book（Completed 3 and 4 grade）
Yang Wei
  • Keep working on MD experiment.
Yue Gu
  • working on my thesis and seeking career opportunities.
Qi Qu
  • Elderly alarm customization.
Lily
  • Thesis writing
  • AIradiance's daily work
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