“2026-03-09”版本间的差异

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|Jiaying Wang
 
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* Thesis modifying
 
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|Xiaoxue Luo
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* attractor-based USS
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** filter out a purer dataset for training(use a SED model to detect the anchor segment in audio clip that is most likely contain a sound event)
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* Huawei project
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** train the model using VGGSound and data provided by Huawei(in training)
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*** 30epoch & 2mix: speech_sisdr = 11.785，music_sisdr = 11.7161. The previous training did have an overfitting problem.
 
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|Bochao Hu
 
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* CNVSRC.topics dataset pipeline completed and process 1000 data samples for training and testing
 
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|Hongcheng Zhang
 
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*Evaluating the boundaries of visual capabilities for small and medium-sized models in Qwen3.5
 
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2026年3月9日 (一) 10:56的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Keep on two NMI papers
Lantian Li
Wenqiang Du
  • Online KWS Model Debug for AIbabel
Yang Wei
  • Developing Audio visual speech separation streaming demo.
Ying Shi
  • thesis
Yue Gu
Lily
  • Thesis writing
Pengqi Li
Junming Yuan
Yu Zhang
  • GPU Util: [1]
  • LLM: Still Tuning the complex topo loss design (to prune Lazy Agents), find some bugs in loss design with @chenjunhui
Junhui Chen
  • LLM
    • check @ZhangYu's code and debug
    • design a game to prove best swarm construction has highest parameter knowledge score (can be used in RL)
Jiaying Wang
  • Thesis modifying
Xiaoxue Luo
  • attractor-based USS
    • filter out a purer dataset for training(use a SED model to detect the anchor segment in audio clip that is most likely contain a sound event)
  • Huawei project
    • train the model using VGGSound and data provided by Huawei(in training)
      • 30epoch & 2mix: speech_sisdr = 11.785，music_sisdr = 11.7161. The previous training did have an overfitting problem.
Bochao Hu
  • CNVSRC.topics dataset pipeline completed and process 1000 data samples for training and testing
Hongcheng Zhang
  • Evaluating the boundaries of visual capabilities for small and medium-sized models in Qwen3.5
Weiman Sun
  • papers about the representation analysis to multi-task and instruction-tune
  • add the prompt-aware lora module to the MTLLM
取自“http://cslt.org/mediawiki/index.php?title=2026-03-09&oldid=43971”