| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- High-school AI handbook recheck
- Talk on Hebei Education conference
- Paper review for TASLP
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| Lantian Li
|
- Prepare 2025 Calendar (4th round, thx Xue/Lou)
- Review BUPT Master Viva Report (Done)
- Apply BUPT Innovation Scholar (Failed... Fxxk)
- Submit NSFC Annual Report (Done)
- Prepare some materials for another rubbish project...
|
- Go on AI-Graph EN Chapter 4 (37/50)
- Two HUAWEI projects delivery
|
|
| Ying Shi
|
- Revise the HUAWEI Project Proposal
- more test about Google App and write test report
- Prepare for the Interview
|
- Back to conditional chain-overlap asr model
|
|
| Zhenghai You
|
- Huawei Stage II Model Training and Experimental Testing
- Revise Topicreport
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| Junming Yuan
|
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| Xiaolou Li
|
- Modify Proposal
- Prepare 2025 Calendar
- fix bug of data collection server(often in trouble recently)
- Finished 433h training, but not infer
- bad cold
|
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|
| Zehua Liu
|
- Start-term Document Revise
- Some Corruption Exp(still training)
- Upload GA data to server
|
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| Pengqi Li
|
- paper reading
- Check the primary school version(8/10)
|
- Make Proposal for IS25 Special Session of XAI
|
|
| Wan Lin
|
- NS
- Solve the problem of slow training
- Results [1]
|
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| Tianhao Wang
|
- Revise Start-term Document
- paper reading
|
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| Xiaoxue Luo
|
- polish the 2025 calendar
- prepare a course presentation
|
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| Zhenyu Zhou
|
- Submit interim report
- Some personal matters
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| Junhui Chen
|
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| Jiaying Wang
|
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| Yu Zhang
|
- Huawei AED Delivery Package
- Revise Topicreport
|
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| Wenqiang Du
|
- update Exhibition scene KWS model [2]
- Tencent AI Course Development（2/35）
-
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| Yang Wei
|
- Correct the performance of text enroll kws model (with cross attention) on simple testset.(fnr 15% -> 2%)
- Experiment on text enroll kws model (no cross attention)
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| Lily
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| Turi
|
- Evaluated ASR model using CER (6.08%) & Thesis writing
- Application for University
|
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| Yue Gu
|
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| Qi Qu
|
- NPU confirmed working for both Zeus-KWS and CED models on both mr536 and v851se platforms: dynamic fixed point int16 quantization.
- KWS training data processed for Yichang (Hubei) dialect: 6 keywords.
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- Adapt Text-Enroll-KWS model(s) to mr536 NPU.
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