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| 第18行: |
第18行: |
| | |Lantian Li | | |Lantian Li |
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| − | * | + | * Optimize 2025 calendar (6th round) and finalize for mass printing. |
| | + | * Complete the 2nd round of master viva defence. |
| | + | * Complete two Huawei project delivery. |
| | + | * Finish my annual performance review. |
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| | * | | * |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- AI handbook high-school version done (v1.1).
- 3rd training for Tsinghua middle school
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| Lantian Li
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- Optimize 2025 calendar (6th round) and finalize for mass printing.
- Complete the 2nd round of master viva defence.
- Complete two Huawei project delivery.
- Finish my annual performance review.
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| Ying Shi
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- Conditional-chain overlap asr
- Condition augmentation & condition detection (is running now)
- remove Decoder and investigate whether speech encoder can find the order only depend on CTC Loss and self-attention
- More tests for next diting (hope can be started within this week)
- google phone test
- Separation model test (thx tianhao, zhenyu)
- Final round interview
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| Zhenghai You
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- Huawei TSE Delivery Package
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| Junming Yuan
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- MT-Hubert paper writing(1/4)
- Check the primary/middle school AI handbook
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- Go on MT-Hubert paper writing
- Check the high-school AI handbook
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| Chen Chen
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| Xiaolou Li
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| Zehua Liu
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| Pengqi Li
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- Check the primary/middle school AI handbook
- Conduct a preliminary experiment for the proposal(IS25-XAI)(But not ideal).
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- Continue thinking about how to conduct the proposal.
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| Wan Lin
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| Tianhao Wang
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- weekly reading
- Huawei project things
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| Xiaoxue Luo
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- prepare for the final exam
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| Zhenyu Zhou
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| Junhui Chen
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- 4 course homework/paper
- review for 3 math exams
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| Jiaying Wang
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| Yu Zhang
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- Huawei AED Delivery Package
- Royal Flush server base development environment setup
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| Wenqiang Du
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| Yang Wei
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| Lily
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| Turi
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- Thesis writing
- Personal stuff (Setting up a website for African students Association in THU..)
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| Yue Gu
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| Qi Qu
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- KWS: finding ideal thresholds for zh10 model (2024-12-13) optimized for exhibition scene.
- Quantization of Text-Enroll models: huge precision loss.
- NPU metrics: report (to be updated)
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