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| (某位用户的一个中间修订版本未显示) |
| 第53行: |
第53行: |
| | || | | || |
| | * MT-HuBERT paper(80%) | | * MT-HuBERT paper(80%) |
| − | * Middle-school AI handbook | + | * Middle-school AI Textbook |
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| | * | | * |
| 第87行: |
第87行: |
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| | * Prepare for the Tsinghua Middle School AI Summer School | | * Prepare for the Tsinghua Middle School AI Summer School |
| − | * High-school AI handbook | + | * High-school AI Textbook |
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| | * | | * |
| 第160行: |
第160行: |
| | |Yu Zhang | | |Yu Zhang |
| | || | | || |
| − | * | + | * Finished Hainan teaching assistant work |
| | + | * Some Open Source high frequency trading framework investigation and second development |
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| | * | | * |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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| Lantian Li
|
- Write ML book (56/326)
- Go on Hainan D&B Course
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| Ying Shi
|
- keep working on my thesis
|
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| Zhenghai You
|
- AATC2025 Baseline (SI-SDR 0.51)
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| Junming Yuan
|
- MT-HuBERT paper(80%)
- Middle-school AI Textbook
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|
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| Xiaolou Li
|
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| Zehua Liu
|
- CNVSRC2025 Baseline code, website document and so on
|
|
|
| Pengqi Li
|
- Prepare for the Tsinghua Middle School AI Summer School
- High-school AI Textbook
|
|
|
| Wan Lin
|
- Supply experiments for paper
- Run some experiments(self att mask for test in multi-layer and leverage 1-layer feature extractor for 8-layer)
- Paper: Revision parts mentioned are nearly finished, need further check
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| Tianhao Wang
|
- Huawei competition baseline data preparation
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| Xiaoxue Luo
|
- Huawei competition things
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|
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| Junhui Chen
|
- Finished Hainan teaching assistant work
- Continue revising NS paper
- Read paper
|
|
|
| Jiaying Wang
|
- GuoChuang Competition
- modify slides v2 and verbatim transcript
- LingAn bank account already opened
- Prepare Libri2Mix - Libri5Mix for ASR
|
|
|
| Yu Zhang
|
- Finished Hainan teaching assistant work
- Some Open Source high frequency trading framework investigation and second development
|
|
|
| Wenqiang Du
|
- Write and revise AI courses draft from Jiaoyubu (5,7,8)
- Revise Primary school AI book(4 and 5 grade)
- Prepare 11000 hours of data to Wei(for big text enroll model)
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|
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| Yang Wei
|
- Adapt the AM for mispronounce detection with child data
- Start to train text enroll kws model with 11000 hours data
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|
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| Yue Gu
|
- almost finish th supplement of experiments
- rewriting a section to make it more clear
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| Qi Qu
|
- (Continuous) integrating PJSIP to ESP32-based application.
- Experiment: Text-Enroll KWS + FunASR [1].
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