“2026-03-23”版本间的差异

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|Jiaying Wang
 
|Jiaying Wang
 
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* thesis modification
 
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* read the paper shared by hongcheng
 
* read the paper shared by hongcheng
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* fine-tune the mutli-talker llm
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* fine-tune the multi-talker llm
 
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2026年3月30日 (一) 10:08的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • AIGE book (University version 1/4)
  • Keep on NMI paper proof editing
Lantian Li
  • MoE daily work
Wenqiang Du
  • AIbabel
    • Deployment funasr-nano
    • find the reason for the low KWS ACC(current threshold setting strategy is wrong）
    • Local deployment the Qwen3 and Testing Qwen's audio-video understanding capabilities（90%）
  • Audio separation
    • add causal convolution (80/100 epoch)
    • add slft-attention (50/100 epoch)
  • AIGE
    • AI 100 question (60/100)
    • High school AI couse done（14/14）
Yang Wei
  • Audio separation stream inference. (sliding window; in progress)[1]
  • Support MDPI rebuttal.
Ying Shi
  • Revise my thesis according to Prof. Han's suggestions.
  • Learn some new skills for my future job
Yue Gu
  • write my thesis
Lily
  • Revise thesis
  • Journal paper rebuttal
Pengqi Li
  • Compiled the existing experimental results into a full paper draft.
  • Traveled to Taiyuan to attend the interview and take the required physical examination.
Junming Yuan
  • Preparing the materials for attending ICASSP 2026 (40%)
  • ICASSP Oral PPT (done)
  • MT-HuBERT Journal paper refinement(5/6)
Yu Zhang
  • GPU Util [2]
  • Iterative chain-based LLM experiments:
    • PKS steadily decreases as useful information accumulates (reflecting reduced uncertainty)
    • When no new useful information is introduced, increasing the number of reasoning iterations alone no longer reduces PKS.
Junhui Chen
  • Reorganized the narrative structure and identified additional experiments to include （objectives and design of the Chain structure and Single Node settings）
Jiaying Wang
  • thesis modification
Xiaoxue Luo
  • USS with TDA(transformer decoder-based attractor)
    • write code and train the model(in training)
  • prepare my resume for Huawei internship
Bochao Hu
  • GongAn vts
    • problem: stoi is difficult to satisfy and test dataset size they want is too large.
    • result: cnvsrc-multi is added to train vts, stoi metric becomes better, but it's not good enough.
    • solution: more data is used to train vts(CN-CVS+CN-CVS2-P1+CN-CV3)
Hongcheng Zhang
  • reproduce the TAC（Timestamped Audio Captioning）'s Dynamic Acoustic Mixer（30%）
Weiman Sun
  • read the paper shared by hongcheng
  • fine-tune the multi-talker llm
Ge Gao
  • convert the MTASS framework to a streaming architecture
  • prepare my graduation project
取自“http://www.cslt.org/mediawiki/index.php?title=2026-03-23&oldid=44042”