“2024-04-15”版本间的差异

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|Yu Zhang
 
|Yu Zhang
 
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* SAC model training and backtesting [https://z1et6d3xtb.feishu.cn/docx/LqT5dwx1boABqLxNYJycj5K5nQg]
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* financial quantile work pipeline finish
 
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* AutoML for stock return regression
 
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2024年4月15日 (一) 10:21的版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
Lantian Li
Ying Shi
Zhenghai You
Junming Yuan
  • prepare materials of live broadcast
  • paper reading
  • got sick
Chen Chen
Xiaolou Li
Zehua Liu
  • auxiliary loss exp[1]
  • crop_size exp(still training)
  • read papper
  • reproduce other architecture
Pengqi Li
Wan Lin
  • Finish graduation paper
  • Explore multi-speaker training in NS (how to get batter result in all condition)
    • use wespeaker toolkit
    • effect of time of training sample
    • inherit hard speaker sample
    • add channel-time attention in ResNet to get enroll-aware test feature
Tianhao Wang
  • EA-ASP exps
    • aligned toolkit (wespeaker To sunine), failed. we will align to wespeaker
    • aligned training data (weak overlap To strong overlap)
      • concat and weak_overlap worse, overlap and mix better compared to previous
      • NS arch. has advantages under mix, but non under other tests compared to EA-ASP
  • read paper
  • reproduce SpEx+ in TSV
Zhenyu Zhou
Junhui Chen
Jiaying Wang
  • re-organized document 0025[2]
  • SS_based: Conv-Tasnet with one fixed cohort(still training)[3]
  • paper reading
Yu Zhang
  • SAC model training and backtesting [4]
  • financial quantile work pipeline finish
  • AutoML for stock return regression
Wenqiang Du
  • Efficient-B6 pretrain model training
  • hard negative training
    • FA data is being collected
Yang Wei
Lily
  • Paper reading [5]
  • Assisted to prepare AI graph course materials and PPTs
  • Prepare for AI radiance live broadcast
Turi
  • Data collection App[6]
    • Tested the app and Fixed some bugs
  • Start Recording