cslt Wiki - 用户贡献 [zh-cn]

2026-05-18

2026-05-18T10:56:35Z

Cslt：

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!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* Revise AI textbook for primary school (3/4)

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|Lantian Li
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|Wenqiang Du
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* Huawen separation project
** speech sep：Huawei chip don't support Memba module computation.so replace it with LSTM .
** audio sep: vocal and accoompainment separation.
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|Yang Wei
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* On leave.
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|Ying Shi
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|Yue Gu
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* continue revise the Phd thesis
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|Lily
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* AIGE2026
* German delegation
* Routine AIGE tasks
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|Pengqi Li
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* Completed the draft of the SV-XAI paper
* Arranged the framework of the phd thesis.
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|Junming Yuan
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* collating and read some ICASSP papers
* AI Primary School English PPT for AI radiance(5/44)
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|Yu Zhang
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* Check MLA book code and translate (sec 1-6)
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|Junhui Chen
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* Check MLA book code and translate
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|Xiaoxue Luo
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* USS-tda experiments[https://z1et6d3xtb.feishu.cn/docx/AAaodoir3oDnYcxI9E1cidiDnNd]
* paper writing(method section done)
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|Bochao Hu
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|Hongcheng Zhang
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|Weiman Sun
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* Read some papers about Acoustic Synthesis and Editing.
* Completed my graduation thesis
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|Ge Gao
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*prepare for graduation thesis defense
*organize audio separation data
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|Shuailong Li
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*Finished the thesis defense draft
*Look at the TDA code
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2026-04-27

2026-04-27T10:04:45Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* Check response for 16 AI textbooks
* Recheck micromagentics paper

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|Lantian Li
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|Wenqiang Du
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|Yang Wei
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|Ying Shi
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|Yue Gu
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* write my phd thesis and revise one chapter
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|Lily
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|Pengqi Li
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|Junming Yuan
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* journal paper refinement(done and submit)
* prepare ICASSP oral presentation(done)
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|Yu Zhang
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|Junhui Chen
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|Jiaying Wang
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|Bochao Hu
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|Hongcheng Zhang
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|Weiman Sun
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|Ge Gao
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|Shuailong Li
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2026-04-20

2026-04-20T11:01:02Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* Check 2n semester textbook (done)
* Refine ai textbook college version (1/2)
* Check paper for micro-magenetics

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|Lantian Li
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|Wenqiang Du
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* Spech separation task
** Reproduce the SpatialNet method (2 spk mix)
** Train with mixed speakers: 2spk, 3spk, and 4spk，average SI-SDR up 7 (small data,incompelet separation)
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|Yang Wei
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* Audio separation model training with (L1 loss + SI-SDR loss) for low loudness problem
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|Ying Shi
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|Yue Gu
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* write my Phd thesis（70% in progress）
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|Lily
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* Question bank for three AI Literacy books
* Lecturer Management System released
* AIGE Center annual report PPT
* AIGE routine work
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|Pengqi Li
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* Core Work: Extended the findings of the ICASSP 2024 paper to the Chinese-language scenario
* Progress Update: Drafted the paper for submission to Journal of Chinese Information Processing; the draft has been reviewed by Prof.Wang and is currently under revision.
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|Junming Yuan
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* ZH paper refinement(done)
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|Yu Zhang
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* GPU Util: https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh
* Finish draft version of swarm paper with @chenjunhui
* Continue running supplementary experiments (maybe three or four experiments still needed)
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|Junhui Chen
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* get bad sick
* paper refinement for several versions; references finding
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|Xiaoxue Luo
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* attractor-based USS
** attractor counting accuracy of the 2-3mix model is still lower than expected
** contact the author of the paper, will retrain based on his advice
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|Bochao Hu
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* Topics-based VSR-LLM (100h topics data for now)
** baseline: same encoder(FT) + transformer cer: 0.396 + Qwen-7B cer: 0.345 + Qwen-VL-7B cer: 0.318
** + peripheral info is in training
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|Hongcheng Zhang
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*test qwen-omni model with different prompt
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|Weiman Sun
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* Write my graduation thesis
* Test the Qwen-omni models
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|Ge Gao
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|Shuailong Li
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*Reproduction on the MTASS original dataset（loss：MSE+SNR）
**SDRi（speech=11.94 music=10.80 others=8.97 avg=10.57）
**The perceived volume has not decreased
*Reproduction on the MTASS original dataset（loss：MSE+SI-SDR）
**Some problems have occurred and are being resolved
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2026-04-20

2026-04-20T11:00:29Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

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|Dong Wang
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* Check 2n semester textbook (done)
* Refine ai textbook college version (1/2)

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|Lantian Li
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*
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|Wenqiang Du
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* Spech separation task
** Reproduce the SpatialNet method (2 spk mix)
** Train with mixed speakers: 2spk, 3spk, and 4spk，average SI-SDR up 7 (small data,incompelet separation)
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*
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*
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|Yang Wei
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* Audio separation model training with (L1 loss + SI-SDR loss) for low loudness problem
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*
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|Ying Shi
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*
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*
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|Yue Gu
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* write my Phd thesis（70% in progress）
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*
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|Lily
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* Question bank for three AI Literacy books
* Lecturer Management System released
* AIGE Center annual report PPT
* AIGE routine work
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*
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*
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|Pengqi Li
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* Core Work: Extended the findings of the ICASSP 2024 paper to the Chinese-language scenario
* Progress Update: Drafted the paper for submission to Journal of Chinese Information Processing; the draft has been reviewed by Prof.Wang and is currently under revision.
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*
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*
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|Junming Yuan
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* ZH paper refinement(done)
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*
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|Yu Zhang
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* GPU Util: https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh
* Finish draft version of swarm paper with @chenjunhui
* Continue running supplementary experiments (maybe three or four experiments still needed)
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*
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*
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|Junhui Chen
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* get bad sick
* paper refinement for several versions; references finding
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*
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*
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|Xiaoxue Luo
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* attractor-based USS
** attractor counting accuracy of the 2-3mix model is still lower than expected
** contact the author of the paper, will retrain based on his advice
||
*
||
*
|-

|-
|Bochao Hu
||
* Topics-based VSR-LLM (100h topics data for now)
** baseline: same encoder(FT) + transformer cer: 0.396 + Qwen-7B cer: 0.345 + Qwen-VL-7B cer: 0.318
** + peripheral info is in training
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*
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*
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|Hongcheng Zhang
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*test qwen-omni model with different prompt
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|Weiman Sun
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* Write my graduation thesis
* Test the Qwen-omni models
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*
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|Ge Gao
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*
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*
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|Shuailong Li
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*Reproduction on the MTASS original dataset（loss：MSE+SNR）
**SDRi（speech=11.94 music=10.80 others=8.97 avg=10.57）
**The perceived volume has not decreased
*Reproduction on the MTASS original dataset（loss：MSE+SI-SDR）
**Some problems have occurred and are being resolved
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*
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*
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2026-03-30

2026-03-30T10:22:58Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* AI book University version (1/2)
* English slides cleaning up
* Material preparation for 5.11 world digitial education conference
* Several meetings

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|Lantian Li
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|Wenqiang Du
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|Yang Wei
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|Ying Shi
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|Yue Gu
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|Lily
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|Junming Yuan
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* MT-HuBERT Journal paper EN(done)
* ICASSP PPT refinement(done)
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|Yu Zhang
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|Junhui Chen
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|Hongcheng Zhang
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|Weiman Sun
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* Preparing for the Mid-term report of My Graduation Project:
** Writing the Mid-term Report
** Making adjustments based on the project proposal
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|Ge Gao
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|Shuailong Li
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2026-03-23

2026-03-23T10:40:29Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* AIGE book (University version 1/4)
* Keep on NMI paper proof editing

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|Lantian Li
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|Wenqiang Du
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|Yang Wei
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|Ying Shi
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* Revise my thesis according to Prof. Han's suggestions.
* Learn some new skills for my future job
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|Yue Gu
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* write my thesis
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|Lily
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* Revise thesis
* Journal paper rebuttal
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|Pengqi Li
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* Compiled the existing experimental results into a full paper draft.
* Traveled to Taiyuan to attend the interview and take the required physical examination.
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|Junming Yuan
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* Preparing the materials for attending ICASSP 2026 (40%)
* ICASSP Oral PPT (done)
* MT-HuBERT Journal paper refinement(5/6)
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|Yu Zhang
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* GPU Util [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* 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.
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|Junhui Chen
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* Reorganized the narrative structure and identified additional experiments to include （objectives and design of the Chain structure and Single Node settings）
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|Jiaying Wang
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|Xiaoxue Luo
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* USS with TDA(transformer decoder-based attractor)
** write code and train the model(in training)
* prepare my resume for Huawei internship
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|Bochao Hu
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|Hongcheng Zhang
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|Weiman Sun
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* read the paper shared by hongcheng
* fine-tune the mutli-talker llm
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|Ge Gao
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2026-03-16

2026-03-16T09:20:56Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* NMI micromagnetic paper, reformulate theoretical foundation and rewrite the paper.
* AIGE PPT (English version) check, high-school part done.

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|Lantian Li
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|Yang Wei
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|Ying Shi
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|Yue Gu
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|Lily
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|Pengqi Li
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|Junming Yuan
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|Yu Zhang
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|Junhui Chen
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|Jiaying Wang
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* Thesis modifying
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|Bochao Hu
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|Hongcheng Zhang
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|Weiman Sun
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|Ge Gao
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2026-03-09

2026-03-09T10:01:52Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* Keep on two NMI papers

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|Lantian Li
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|Wenqiang Du
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|Yang Wei
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|Ying Shi
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|Yue Gu
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|Lily
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* Thesis writing
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|Pengqi Li
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|Junming Yuan
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|Yu Zhang
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|Junhui Chen
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|Jiaying Wang
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|Bochao Hu
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|Hongcheng Zhang
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|Weiman Sun
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2026-03-02

2026-03-02T10:53:50Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* IS 2026 MD paper
* Review two papers on physics: (1) Automatic superconduct material discovery; (2) Large-scale parallel computing for micro magnetics
* Check for English materials of AI handbook

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|Lantian Li
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* MoE daily work
* TASLP & IS26 papers
* FYT & HUAWEI project matters
* Review of ongoing work (thesis, research direction, project progress)
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|Wenqiang Du
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* check AI course vedio of high school（6/14）
* Translate "AI100 Questions" into English with Gaoge
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|Yang Wei
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* MD experiment (3 heads for 3 annotators) for Interspeech.
* Develop streaming AVSR service, in progress.
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|Ying Shi
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* thesis(almost finished)
* huawei project
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|Yue Gu
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* write the Phd thesis
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|Lily
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* INTERSPEECH Submission
* Thesis Writing
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|Pengqi Li
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* Coding for multi-label BCE fine-tuning and still training.
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|Junming Yuan
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|Yu Zhang
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* GPU Util [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* Tunning Complex topo MMLU swarm with Lazy agents (almost done)
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|Junhui Chen
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* LLM：
** GAIA test: compare with MMLU test(more information from web, file, picture, etc). Result: metric loss still can detect more useful edges.
** Design experiments to prove metric loss can detect parameter knowledges (almost done)
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|Jiaying Wang
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* Thesis Writing
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|Xiaoxue Luo
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* write code about USS with TDA(transformer decoder-based attractor)
* organize relevant information on Huawei projects for subsequent delivery to shuailong
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|Bochao Hu
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* topic-based VSR-LLM:
** summarize the topic words from our dataset
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|Hongcheng Zhang
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|Weiman Sun
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*improved the graduation project
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论文列表

2026-02-13T15:34:25Z

Cslt：

*[1] Haoran Sun, Chen Chen, Lantian Li, Dong Wang, CycleFlow: Purify Information Factors by Cycle Loss, Odyssey 2022 (Best Student Paper)
*[2] Haoran Sun, Dong Wang, Lantian Li, Chen Chen, Thomas Fang Zheng, Random Cycle Loss and Its Application to Voice Conversion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.45, no.8, August, 2023.
*[3] Chen Chen, Dong Wang, Thomas Fang Zheng, CN-CVS: A Mandarin Audio-Visual Dataset for Large Vocabulary Continuous Visual to Speech Synthesis, ICASSP 2023.
*[4] Chen Chen, Xiaolou Li, Zehua Liu, Lantian Li, Dong Wang, Quantitative Analysis of Audio-Visual Tasks: An Information-Theoretic Perspective, ISCSLP 2024.
*[5] Liu Z, Li X, Chen C, et al. CNVSRC 2024: The Second Chinese Continuous Visual Speech Recognition Challenge[J]. Interspeech 2025
*[6] Chen Chen, Zehua Liu, Xiaolou Li, Lantian Li, Dong Wang, CNVSRC 2023: The First Chinese Continuous Visual Speech Recognition Challenge, Interspeech 2024
*[7] Ying Shi, Lantian Li, Shi Yin, Dong Wang, Jiqing Han, Serialized Output Training by Learned Dominance, Interspeech 2024
*[8] Yuan J, Shi Y, Wang D, et al. MT-HuBERT: Self-Supervised Mix-Training for Few-Shot Keyword Spotting in Mixed Speech[J]. ICASSP 2026.
*[9] Junming Yuan, Ying Shi, Lantian Li, Dong Wang, Askar Hamdulla, Few-Shot Keyword Spotting from Mixed Speech, Interspeech 2024
*[10] Shi, Y., Wang, D.*, Li, L., Han, J., Yin, S. (2023) Spot Keywords From Very Noisy and Mixed Speech. Proc. INTERSPEECH 2023, 1488-1492
*[11] Lin W, Chen J, Wang T, et al. Neural Scoring: A Refreshed End-to-End Approach for Speaker Verification in Complex Conditions[J]. IEEE Signal Processing Letters, 2025.
*[12] Ying Shi, Lantian Li, Dong Wang, Jiqing Han, Keyword Guided Target Speech Recognition, IEEE Signal Processing Letters, 2024
*[13] Zehua Liu, Xiaolou Li, Li Guo, Lantian Li, Dong Wang, Leveraging Large Language Models in Visual Speech Recognition: Model Scaling, Context-Aware Decoding, and Iterative Polishing, APSIPA 2025.
*[14] 陈琛，语音转换任务中的信息解耦优化方法研究，硕士论文，清华大学，2024.
*[15] Liu Z, Li X, Chen C, et al. AlignVSR: Audio-visual cross-modal alignment for visual speech recognition[C]//Proceedings of the 2025 11th International Conference on Communication and Information Processing. 2025: 161-165.
*[16] Cai Y, Li L, Abel A, et al. Maximum Gaussianality training for deep speaker vector normalization[J]. Pattern Recognition, 2024, 145: 109977
*[17] Lantian Li, Ruiqi Liu, Jiawen Kang, Yue Fa, Hao Cui, Yunqi Cai, Ravichander Vipperla, Thomas Fang Zheng and Dong Wang. "CN-Celeb: multi-genre speaker recognition", Speech Communication, 2022.
*[18] Cai, Y., Li, J. & Wang, D. Fast and generalizable micromagnetic simulation with deep neural nets. Nat Mach Intell 6, 1330–1343 (2024).

论文列表

2026-02-13T15:33:44Z

Cslt：以“[1] Haoran Sun, Chen Chen, Lantian Li, Dong Wang, CycleFlow: Purify Information Factors by Cycle Loss, Odyssey 2022 (Best Student Paper) [2] Haoran Sun, Dong Wang, L...”为内容创建页面

[1] Haoran Sun, Chen Chen, Lantian Li, Dong Wang, CycleFlow: Purify Information Factors by Cycle Loss, Odyssey 2022 (Best Student Paper)
[2] Haoran Sun, Dong Wang, Lantian Li, Chen Chen, Thomas Fang Zheng, Random Cycle Loss and Its Application to Voice Conversion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.45, no.8, August, 2023.
[3] Chen Chen, Dong Wang, Thomas Fang Zheng, CN-CVS: A Mandarin Audio-Visual Dataset for Large Vocabulary Continuous Visual to Speech Synthesis, ICASSP 2023.
[4] Chen Chen, Xiaolou Li, Zehua Liu, Lantian Li, Dong Wang, Quantitative Analysis of Audio-Visual Tasks: An Information-Theoretic Perspective, ISCSLP 2024.
[5] Liu Z, Li X, Chen C, et al. CNVSRC 2024: The Second Chinese Continuous Visual Speech Recognition Challenge[J]. Interspeech 2025
[6] Chen Chen, Zehua Liu, Xiaolou Li, Lantian Li, Dong Wang, CNVSRC 2023: The First Chinese Continuous Visual Speech Recognition Challenge, Interspeech 2024
[7] Ying Shi, Lantian Li, Shi Yin, Dong Wang, Jiqing Han, Serialized Output Training by Learned Dominance, Interspeech 2024
[8] Yuan J, Shi Y, Wang D, et al. MT-HuBERT: Self-Supervised Mix-Training for Few-Shot Keyword Spotting in Mixed Speech[J]. ICASSP 2026.
[9] Junming Yuan, Ying Shi, Lantian Li, Dong Wang, Askar Hamdulla, Few-Shot Keyword Spotting from Mixed Speech, Interspeech 2024
[10] Shi, Y., Wang, D.*, Li, L., Han, J., Yin, S. (2023) Spot Keywords From Very Noisy and Mixed Speech. Proc. INTERSPEECH 2023, 1488-1492
[11] Lin W, Chen J, Wang T, et al. Neural Scoring: A Refreshed End-to-End Approach for Speaker Verification in Complex Conditions[J]. IEEE Signal Processing Letters, 2025.
[12] Ying Shi, Lantian Li, Dong Wang, Jiqing Han, Keyword Guided Target Speech Recognition, IEEE Signal Processing Letters, 2024
[13] Zehua Liu, Xiaolou Li, Li Guo, Lantian Li, Dong Wang, Leveraging Large Language Models in Visual Speech Recognition: Model Scaling, Context-Aware Decoding, and Iterative Polishing, APSIPA 2025.
[14] 陈琛，语音转换任务中的信息解耦优化方法研究，硕士论文，清华大学，2024.
[15] Liu Z, Li X, Chen C, et al. AlignVSR: Audio-visual cross-modal alignment for visual speech recognition[C]//Proceedings of the 2025 11th International Conference on Communication and Information Processing. 2025: 161-165.
[16] Cai Y, Li L, Abel A, et al. Maximum Gaussianality training for deep speaker vector normalization[J]. Pattern Recognition, 2024, 145: 109977
[17] Lantian Li, Ruiqi Liu, Jiawen Kang, Yue Fa, Hao Cui, Yunqi Cai, Ravichander Vipperla, Thomas Fang Zheng and Dong Wang. "CN-Celeb: multi-genre speaker recognition", Speech Communication, 2022.
[18] Cai, Y., Li, J. & Wang, D. Fast and generalizable micromagnetic simulation with deep neural nets. Nat Mach Intell 6, 1330–1343 (2024).

Auio-Visual Speech Processing (NSFC 62171250)

2026-02-13T15:33:08Z

Cslt：

==项目信息==

*项目批准号：62171250
*项目名称: 基于信息分解和隐空间概率模型的多模态语音识别方法
*负责人：王东
*主要参与人：陈琛、李蓝天、刘泽华、李小楼
*内容简介：本项目旨在研究利用多模态信息提高复杂环境下语音识别性能与效率的理论与方法，即多模态语音识别。多模态语音识别是综合利用音视频等多模态信息对语音文本内容进行识别的技术。当环境高度复杂时，利用多模态信息，特别是视觉信息，是提高语音识别性能的有效方案。为此，本项目提出了“基于信息分解和隐空间概率模型的多模态语音识别方法”。该方法模拟人类对音视频多模态信息的处理方式，对单模态信号进行信息分解以提取发音内容的有效特征，并基于深度生成网络将该特征表达为隐空间中的规范的概率分布，最后基于贝叶斯模型对隐空间中的多模态特征建立统一的概率模型，实现多模态信息的有效融合与协同推理，从而实现在复杂环境下可靠、高效的语音识别系统。

==成果产出==

*CNCVS dataset [http://cncvs.cslt.org]
*基于循环损失的语音分解方法 [http://rc.cslt.org]
*[[论文列表]]

2026-02-02

2026-02-02T10:49:14Z

Cslt：

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!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* English version for Middle School AI Textbook done.
* AI textbook for old people
* Initial draft for 2nd MD paper.
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* write my Phd thesis and collect the picture
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* Organized course materials production （小初高分册+ Middle school English version）
* Participated in reviewing the AI handbooks
* AIGE 2026 meeting-related tasks
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|Pengqi Li
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* Currently teaching at the AI Winter Camp. I will be fully back to my research in Friday.
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|Junming Yuan
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* checking EN middle school AI handbook(M5-M7)
* learn-not-to-listen MT-HuBERT:
** setting a threshold can improve performance on clean-speech tasks(ASR, MT-HuBERT:9.22 --> LNTL-MT-HuBERT: 8.43)
** there is some performance degradation on mixed-speech tasks(SD, MT-HuBERT:3.93 --> LNTL-MT-HuBERT: 4.31).
* draft of the journal paper(almost done)
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|Yu Zhang
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* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh?from=from_copylink]
* LLM: Finish complex topo code writing, and build swarm with copying node inside it (experiment still running)
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|Junhui Chen
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* LLM: build swarm for MMLU exp with different LLM base model (FinalDecision: exchange qwen2.5 to llama3-8b)
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|Jiaying Wang
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* spk order experiment finished, 4mix result are under test.
* loudness & content order verification done.
* spk order verification code preparing(2/3).
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|Xiaoxue Luo
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* 2-5mix multi_head separation model for Huawei project
** Modifications：
*** remove data that the mixed audio equals the target audio
*** add sing data to the speech category
*** add MSE_loss to the original SISDR_loss to control the energy amplitude of output audio
** Result: compared to the previous model, the performance is even worse
** Reasons：
*** add sing data to the speech branch is not feasible
*** there are some issues with the istft function in the original paper code
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|Bochao Hu
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* stage2 P2S: finetune with NLLB model using syn data, result is nearly same as before
* read papers
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|Hongcheng Zhang
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*prepare for weekly report
*read some new paper
*enrich my train data
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|Weiman Sun
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* relevant papers
* hook the first token after the prompt to observe the model's understanding of the task at different depths.
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2026-01-26

2026-01-26T10:24:34Z

Cslt：

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|Dong Wang
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* AI middle school hand book / English version almost completed.
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|Lantian Li
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* Recheck AI textbooks for senior middle school.
* MoE daily work (busy week)
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* Go on the final review of my MLA book (6/10)
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* write my thesis
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|Yu Zhang
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|Junhui Chen
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* (caught a cold)
* MMLU
** difference in the ECS distribution between good nodes and bad nodes.
** metrics loss helps select high-quality nodes and eliminate low-quality ones. [https://z1et6d3xtb.feishu.cn/wiki/WIbewlbcwihGoCkChpZcwZpEnnh?from=from_copylink]

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|Xiaoxue Luo
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* prepare 2mix speech separation results for ASR test
* 2-5mix multi_head separation model for Huawei project
** data: remove data that the target audio is mixed audio(input equals output, model does not learn)
** loss: add MSE_loss to the original SISDR_loss to control the energy amplitude of output audio
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2026-01-19

2026-01-19T10:14:45Z

Cslt：

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|Dong Wang
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* Recheck AI textbooks for prmary and middle schools.
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|Ying Shi
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* Thesis
* Huawei multi-talker ASR project(Mandarin 2-mix test with FunASR-Nano-800M)
** ground-truth WER 3.89%
** separated WER 12.11%
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|Yue Gu
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* write my Phd thesis
* the seminar
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|Weiman Sun
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* Label audioset vedio dataset
* Analyze the representation of MT-LLM inference and review relevant literature
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2026-01-12

2026-01-12T09:41:57Z

Cslt：

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!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* Double check English version of high-scholl handbook.
* Check English version of middle-school handbook.
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2026-01-05

2026-01-05T11:00:51Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* English version of the AI handbook - middle/high school almost done

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|Lantian Li
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* Final review of my MLA book (3/10)
* MoE daily work
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|Wenqiang Du
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* Check AI course PPT(4/14)
* Completed AI100 question task and will be uploaded to the platform this month
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|Yang Wei
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* Some additional result analysis and some revisions on manuscript according to the reviewer' comments. [https://z1et6d3xtb.feishu.cn/docx/Woz0dFwsaoWZuOxZ2KGcm9MxnKe?from=from_copylink][https://z1et6d3xtb.feishu.cn/docx/VIZadovoZohLscxQUYNcu59HnGd?from=from_copylink]
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|Ying Shi
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* Draft Paper: The framework and core content are complete.
* AI Handbook: Checking and verifying references.
* Winter Camp Preparation: Preparing materials for the Tsinghua University Middle School AI Winter Camp.
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|Junming Yuan
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* Aug-MT-HuBERT:
** Fixed the pre-training to 100K steps, compared 3 noise ratios（50%, 80%, and 100%）and 2 different SNR sampling strategies([-3, 3] uniform / [0, 10] Gauss).
*** Best setting, PR performance(PER): 8.12 -> 8.08, ASR performance(WER): 9.22 -> 9.07
*** There is still around 3% gap compared to HuBERT.
* SS adaptation(SI-SDRi):
** Cocktail-HuBERT(14.76) > MT-HuBERT(13.93) > WavLM(13.83) > ConvTasNet(10.39)
* Draft Paper( CN version almost done)
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|Yu Zhang
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* GPU Util [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh?from=from_copylink]
* working on the big assignment and preparing for the final exam.
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|Junhui Chen
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* prepare for final exam
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|Xiaolou Li
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* Prepared applications for 4 CDT programmes
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|Jiaying Wang
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* spk order separation training
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|Tianhao Wang
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* additional experiments for ChainSep [https://z1et6d3xtb.feishu.cn/docx/RG5Qd9ashoGhw5xc9M2cAVcHnLc]
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|Xiaoxue Luo
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* 2-5mix attractor-based USS model for Huawei project
** SI-SDR : 2mix: 4.725， 3mix: 0.866， 4mix: -1.155， 5mix: -2.709
* design a better solution for Huawei project
** multi-head separation (two groups: speakers and events)
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|Yue Gu
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* write Phd defense slides
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|Lily
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|Bochao Hu
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* P2S wer: 45%.data:20% GT 20% real seq 60% synthetic seq. llm can't correct with high per(> 30%)
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|Hongcheng Zhang
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* finish the main code of ASU-LLM (CLAP + HuBERT)。The core architecture consists of a dual-stream encoder combing CLAP and Audio Hubert,integrated with LLaMA
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2025-12-29

2025-12-29T10:02:06Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* All the textbook for primary and middle schools done
* English version of Middle school handbook almost done (reference needed)
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|Lantian Li
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|Zhenghai You
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|Junming Yuan
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* Aug-MT-HuBERT exp(in training)
* write journal paper(4/7)
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|Tianhao Wang
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|Lily
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2025-12-22

2025-12-22T10:37:56Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* AI textbook high school grad-2 (6/12)
* AIGE 2025 seminar

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*
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|Lantian Li
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* Complete the 2nd review of AI Book (High School).
* Go on an MoE business trip.
* Submit the Phase I proposal for the Huang Danian Project.
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* MLA book final check.
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|Ying Shi
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* ICASSP rebuttal
* thesis
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|Zhenghai You
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* Complete the Hubert iterative adaptation Exp, and the result is slightly worse than baseline in clean enroll(~0.9). Trying to test on noisy enroll
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|Junming Yuan
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* ICASSP rebuttal
* For MT-HuBERT exp, I'll share the current experimental progress after status report
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|Xiaolou Li
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|Zehua Liu
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*Iterative Decoding Exp for graduation thesis
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|Pengqi Li
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|Tianhao Wang
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|Yue Gu
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|Lily
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* AIGE Annual Forum（December 19th）
* ICASSP author respond
* Thesis
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|Bochao Hu
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* did research for ASU-LLM tasks
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2025-12-08

2025-12-08T10:57:44Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* MD paper done
* AI handbook middel school 2 grad almost done.

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|Lantian Li
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* 2nd round AI Book Check – High School Edition (2/4).
* MoE project matters.
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|Ying Shi
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* thesis
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|Zhenghai You
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* Some support work for Huawei SS project
* Iterative Adaptation TSE：
** Complete the training framework code
** Training 16k Base model and IRA model as baselines to adapt to Hubert or WavLM
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|Junming Yuan
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|Xiaolou Li
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* Refine RP and other application materials
* Meet and talk with some people
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|Zehua Liu
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*interview
*writing code of VLLM Iterative Decode
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|Pengqi Li
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* Investigate metric learning explainability methods, including those applied in speaker recognition verification tasks and other fields such as image processing.
* Transfer four metric learning explainability methods (FGGB, SSAB, Corr-RISE, SFAM) from the image field to speaker verification.
* AI course of Tsinghua University Middle School.
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|Tianhao Wang
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* ChainSep paper (Chinese version is almost done)
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|Xiaoxue Luo
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* attractor-based speech separation:2-mix training
** 40% overlap rate: sisdr = 8.024
** random overlap rate: sisdr = 9.519
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|Junhui Chen
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* had a fever, rest for a while
* come back today
** discuss with @ZhangYu
** HUAWEI gradio demo (2/5)
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|-
|Jiaying Wang
||
* recurring fevers after flu, still not fully recovered
* content experiment training finished
* loudness experiment 2mix, 3mix training finished
||
*
||
*
|-

|-
|Yu Zhang
||
* GPU Util [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh?from=from_copylink]
* LLM
** Reflection methods that provide more detailed feedback (for example, offering a full solution rather than just keywords describing the mistake) are more likely to receive higher ECS scores.
** When LLMs use Reflection feedback, ECS and PKS scores exhibit a strong negative correlation.
||
*
||
*
|-

|-
|Wenqiang Du
||
* Rebuttal the reviewers' comments about high school AI course's draft
* Calendar content preparation
* Some company matters
** New kws model update（aibabel）
** project acceptance （核二院）
||
*
||
*
|-

|-
|Yang Wei
||
* More partial fine-tune experiments for MD paper[https://z1et6d3xtb.feishu.cn/docx/Qu1yd5vdDoggfIxvGknclp0ongg?from=from_copylink]
||
*
||
*
|-

|-
|Yue Gu
||
* go back to Harbin
* write the Phd Thesis
||
*
||
*
|-

|-
|Lily
||
* AIGE Annual Forum
* Journal paper submission
||
*
||
*
|-

|-
| Bochao Hu
||
*
||
*
||
*
|-

2025-12-01

2025-12-01T10:55:29Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* MD paper/tricky version

||
*
||
*
|-

|-
|Lantian Li
||
* Assigned to the Ministry of Education and took charge of a big project.
* Deal with our project matters.
||
*
||
*
|-

|-
|Ying Shi
||
* interviews
||
*
||
*
|-

|-
|Zhenghai You
||
* Huawei SS project demo
* Debugging the iterative refining adaptation framework of TSE
||
*
||
*
|-

|-
|Junming Yuan
||
* SS adaptation exp[https://z1et6d3xtb.feishu.cn/docx/T8oudYMqUoPmAPx14lMcMbTgnkh]:
** frequency-domain SS (still in training)
** time-domain SS (need to check)
* Compute Multi-speaker identification adaptation (Wait for training)
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
* Finish Exam
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
* job selection, send the agreement document
* writing my paper
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* attractor-based speech separation
** training with partially mixed data, it worked（sisdr is growing normally）
** change the current code to PyTorch version（Done)
||
*
||
*
|-

|-
|Junhui Chen
||
*
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
* LLM
** The correlation between the collected ECS/PKS metric and whether reflection leads to correction is quite noisy.
** We are analyzing more specific cases (e.g., the correlation between PKS and answer changes) to check whether these two metrics can represent certain LLM behaviors.
* Huawei Speech Demo deploy
||
*
||
*
|-

|-
|Wenqiang Du
||
* Write and modify the high school AI course
||
*
||
*
|-

|-
|Yang Wei
||
* Some experiments on partial fine-tuning and adaptation, and bug fix. No interesting result.[https://z1et6d3xtb.feishu.cn/docx/O9XVdgSqjoZtXhxWvvrcrd9Rnnf]
||
*
||
*
|-

|-
|Yue Gu
||
*
||
*
||
*
|-
|-
|Qi Qu
||
* 4-Mic array DOA demo, based on GCC-PHAT TDOA.
* Micro-ROS over UART (CAN will be used in production) demo on ESP32: reading and publishing sensor data.
||
*
||
*
|-

|-
|Lily
||
* AIRadiance & Xiaoqing Copyright Application
* AIGE & AIRadiance: Routine Work
* Sick Leave
||
*
||
*
|-

2025-11-24

2025-11-24T10:10:53Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* AIGraph English version text & figure check (done)
* AI textbook middle school (grad 1) done
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* interviews
* HUAWEI project
||
*
*
||
*
|-

|-
|Zhenghai You
||
* Interviews
* TSE & SS Demo for Huawei
||
*
||
*
|-

|-
|Junming Yuan
||
* Multi-talker ASR Adaptation exp refinement(Done, still in training)
* Time-domain SS Adaptation exp(in progress)
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
*
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
* Recording AI courses（4/14）
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
* review over 40 papers on personalized ASR to prepare the introduction of my thesis.
||
*
||
*
|-
|-
|Qi Qu
||
*
||
*
||
*
|-

|-
|Lily
||
* Check Middle School AI handbook (7 grad)
* Test AIGE website
* AIGE & AIRadiance dailywork
||
*
||
*
|-

2025-11-24

2025-11-24T10:10:38Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* AIGraph English version text & figure check (done)
* AI textbook middle school (grad 1) done

||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* interviews
* HUAWEI project
||
*
*
||
*
|-

|-
|Zhenghai You
||
* Interviews
* TSE & SS Demo for Huawei
||
*
||
*
|-

|-
|Junming Yuan
||
* Multi-talker ASR Adaptation exp refinement(Done, still in training)
* Time-domain SS Adaptation exp(in progress)
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
*
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
* Recording AI courses（4/14）
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
* review over 40 papers on personalized ASR to prepare the introduction of my thesis.
||
*
||
*
|-
|-
|Qi Qu
||
*
||
*
||
*
|-

|-
|Lily
||
* Check Middle School AI handbook (7 grad)
* Test AIGE website
* AIGE & AIRadiance dailywork
||
*
||
*
|-

2025-11-17

2025-11-17T10:21:15Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Prmary School AI handbook (Grad 6) done
* AIGraph picture done

||
*
||
*
|-

|-
|Lantian Li
||
* attend the ICCIP conference
||
*
||
*
|-

|-
|Ying Shi
||
* prepare for interview
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
* MT-HuBERT on SUPERB benchmark(almost Done)
** Result in [https://z1et6d3xtb.feishu.cn/docx/SihydfjgZo8b0txhRtickebdnwc]
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
* currently on vacation, will be back on Wednesday
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
* Prepare for Paper sharing
* Debug for Nuclear prj
||
*
||
*
|-

|-
|Wenqiang Du
||
* Modify the high school AI course draft and PPT
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
* attend the writing test and interview of Forestry and Grassland Administration
||
*
||
*
|-
|-
|Qi Qu
||
*
||
*
||
*
|-

2025-11-10

2025-11-10T08:45:46Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Primary School handbook, grad 5 done
* AI Graph pictures review

||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* prepare for interview
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
* Draft v0.0 of the MT-HuBERT paper after ICASSP26 (Done), need to add several experiments.
** Evaluating the performance of MT-HuBERT on other SUPERB tasks(in training)
** Conducting SS and SD experiments with different numbers of mixed speakers.
** Cross-validation of single- and multi-talker ASR performance.
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
* Draft of the paper and investigate some related paper.
* AI course of Tsinghua University Middle School.
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
* AED with Softmax+CE training for sound separation ranking
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
* Finished reading all COLM & NeurIPS 2025 MAS papers (26/26); currently summarizing.
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
* NeurIPS 2025 MAS paper reading (residual papers after Chen Junhui’s selection; will share some this Friday)
* Deploy AIGE website
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
*
||
*
||
*
|-
|-
|Qi Qu
||
*
||
*
||
*
|-

2025-11-03

2025-11-03T13:01:41Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Primary School Handbook, 4grad done. 5 grad on going

||
*
||
*
|-

|-
|Lantian Li
||
* Review AI Book – College Edition (Done).
* My professional title evaluation materials (Done).
* Two HUAWEI delivery (Done).
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
*
||
*
|-

|-
|Zhenghai You
||
* MidReport
* HUAWEI SS Project Delivery
||
*
||
*
|-

|-
|Junming Yuan
||
* paper sharing.
* the resources checking for the middle-school AI course(20/20).
* rewrite MT-HuBERT paper.
||
*
||
*
|-

|-
|Xiaolou Li
||
* Conducting supplementary experiments and refining the mid-term report||
||
*
|-

|-
|Zehua Liu
||
*study For civil servant
*GongAn material
||
*
||
*
|-

|-
|Pengqi Li
||
* Draft of the paper(60%)
* AI course of Tsinghua University Middle School
* Check the PPT(10/20)(will complete tonight)
||
*
||
*
|-

|-
|Wan Lin
||
* Design the experiments for mispronunciation detection
||
*
||
*
|-

|-
|Tianhao Wang
||
* mid-term report
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* revise my proposal
* prepare the delivery documents for the first phase of the Huawei project
* change the current code to PyTorch version（in progress)
||
*
||
*
|-

|-
|Junhui Chen
||
* Reading papers from COLM & NIPS 2025 (17/26)
* Summarize the recent development trajectory of multi-agent systems and integrate it with my own ideas
||
*
||
*
|-

|-
|Jiaying Wang
||
* mid-term report
||
*
||
*
|-

|-
|Yu Zhang
||
* AED Project thing
||
*
||
*
|-

|-
|Wenqiang Du
||
* Write high school AI course for Jiaoyubu
||
*
||
*
|-

|-
|Yang Wei
||
* Some mispronunciation detection experiments about phone sequence data augmentation(ROC AUC: 0.73)
||
*
||
*
|-

|-
|Yue Gu
||
* prepare for the job writing test
||
*
||
*
|-
|-
|Qi Qu
||
* Big progress in debugging the heap corruption in elderly alarm customization. Still some minor bugs yet to be located.
* Some server maintenance work.
||
*
||
*
|-

|-
|Lily
||
* Organize AIhandbook English version course materials
* AIGE & AIRadiance dailywork
||
*
||
*
|-

2025-10-27

2025-10-27T10:35:14Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||

* AI handbook for primary schools, 4th grad.
* Talk in middle school of Renmin Middle School.

||
*
||
*
|-

|-
|Lantian Li
||
* Review AI Book – College Edition (52/53).
* Organize teaching course materials.
* Guide BUPT-STU's proposal and mid-term reports.
* Project: HUAWEI Phase I Delivery Report and FENYINTA AVSD Schedule
||
* Proofread my MLA Book.
* Review AI Book – High School Edition.
||
*
|-

|-
|Ying Shi
||
*
||
*
*
||
*
|-

|-
|Zhenghai You
||
* Midreport
* APSIPA 2025
||
*
||
*
|-

|-
|Junming Yuan
||
* check the resources for the middle-school AI course(16/20)
* paper reading
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
* Conduct supplementary experiments and write the paper
* AI course of Tsinghua University Middle School
* Review the practical manual(v2) again（Liuzhou high school and Xian Gongshang）. I think is good enough.
* Check the PPT(5/10)
||
* Paper(v1)
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
* LLM:
** finish Baseline & Reflexion metric collection (without analysis yet)
** continue reading papers from COLM & NIPS 2025 (9/26)
** proposal discussing with @ZhangYu
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
* AED: add provided VPU hard case for training
** With a 2-second window length during training and testing, "WYL-type cough" can be effectively solved;
** With a 0.6-second window length, adding new training data yields only a minor improvement.
* LLM:
** finish Baseline & Reflexion metric collection (without analysis yet)
** proposal discussing with @chenjunhui
* AI2S webset deploy
||
*
||
*
|-

|-
|Wenqiang Du
||
* Check PPT for primary/middle/high school
* Writing project documents with Weiman Sun
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
*
||
*
||
*
|-
|-
|Qi Qu
||
* Debugging for elderly alarm customization: possible heap corruption.
* Experiments w/ RKNN toolkit.
||
*
||
*
|-

|-
|Lily
||
* Paper reading
* Check AI textbook 2nd semester, primary school version (3 grad)
* AIGE & AIRadiance dailywork
||
*
||
*
|-

2025-10-20

2025-10-20T10:46:52Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Travel to Zhenjiang
* AI+ project design
* AI textbook 2nd semester, primary school version (3 grad)

||
*
||
*
|-

|-
|Lantian Li
||
* Review AI Book – College Edition (40/53).
* Submit Professional title evaluation.
* Prepare the 1st delivery report for HUAWEI.
||
*
||
*
|-

|-
|Ying Shi
||
* prepared for interviews
* report some experiments on MD tasks
||
*
*
||
*
|-

|-
|Zhenghai You
||
* AATC2025 baseline report in NC
* Support for the Huawei SS project
* Midreport
||
*
||
*
|-

|-
|Junming Yuan
||
* Evaluating the performance of MT-HuBERT on the speaker diarization task.
** DER(%)result: MT-HuBERT(3.93) < Cocktail-HuBERT(4.07) < WavLM-BASE(4.55) < MPC-HuBERT(4.83) < HuBERT-BASE(5.88)
* Start checking the resources for the middle-school AI course with Pengqi and Qiang bro(PPT, teaching plans).
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
* Try to Explain for hard-trials(Prof.Li previous work).
* Outline the paper new structure.
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
* Keeps running & debugging reflection metric collection with @ZhangYu
* Collecting & reading papers from NIPS & COLM 2025

||
*
||
*
|-

|-
|Jiaying Wang
||
* convtasnet pit & loudness order exp and visulization analyse
* mid-term report
** Report framework diagram
** Report progress: The first part of the research and the PIT-related experimental section have been completed.
||
*
||
*
|-

|-
|Yu Zhang
||
* Training MIC to VPU convert for Huawei AED
* Keeps running & debugging reflection metric collection with @chenjunhui
||
*
||
*
|-

|-
|Wenqiang Du
||
* BUPT anniversary exhibition preparation
* Check primary AI handbook（done）and related PPT、Jiaoan(6/44)
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
* prepare for the writing test of the civil service exam
* almost finish the structure of my thesis
||
*
||
*
|-
|-
|Qi Qu
||
* Development for elderly alarm customization.
* Perf test for vision tasks (face detection, face tracking, etc.) across candidate ROS main boards.
* (In progress) Run vision tasks w/ Rockchip chips.
||
*
||
*
|-

|-
|Lily
||
* Paper reading
* Organize AI handbook English version course materials
||
*
||
*
|-

2025-10-13

2025-10-13T10:53:44Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* AI book (primary) English version done
* AI textbook (2nd semester) Grad 3 (1/2)

||
*
||
*
|-

|-
|Lantian Li
||
* Review AI Book — College Edition (34/53).
* My professional title evaluation (1/2).
* Proposal for audio scene detection.
||
*
||
*
|-

|-
|Ying Shi
||
* submitted resumes to many companies
* prepared for interviews
* conducted some preliminary experiments on MD tasks
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
* Further evaluation of our MT-HuBERT model on 2 speech generation downstream tasks(SS & SE).
** Result in [https://z1et6d3xtb.feishu.cn/docx/SihydfjgZo8b0txhRtickebdnwc]
||
*
||
*
|-

|-
|Xiaolou Li
||
* avhubert pretraining iter3 and finetune test
* orgnize collected data
* do some prepare for NCMMSC2025
||
*
||
*
|-

|-
|Zehua Liu
||
* LLM to Generate topics as context For midterm thesis
* stuff about CNVSRC2025
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
* writing my paper
* add a multi-modal query baseline
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* paper sharing
* prepare the code of attractor-based speech separation, the model is in training
||
*
||
*
|-

|-
|Junhui Chen
||
* collect more novel reflection method metrics for analysis
* paper reading about LM swarm
||
*
||
*
|-

|-
|Jiaying Wang
||
* separation training
** 3mix cc and cc-order use loud data
** 4mix pit and pit-order use loud data
** 2-5mix cc training code finished
* spk model
** change structure to ResNet34 (wait to train)

*
||
*
||
*
|-

|-
|Yu Zhang
||
* paper reading and prepare for paper sharing
* AED: add pitch dim training & test (no significant improvement)
||
*
||
*
|-

|-
|Wenqiang Du
||
* Check english version AI primary handbook
* Dealing with our company accounting issues
||
*
||
*
|-

|-
|Yang Wei
||
* Debug training problem of MD model on TIMIT
||
*
||
*
|-

|-
|Yue Gu
||
* submit resume and prepare for the job interview
* SPL paper revision and proof
* my PhD thesis
||
*
||
*
|-
|-
|Qi Qu
||
* Misc. tech support for Babel Technology.
||
*
||
*
|-

|-
|Lily
||
* Thesis Writing
* AIRadiance dailywork
||
*
||
*
|-

2025-09-29

2025-09-29T10:58:18Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Travel to Ruian
* Collecting correction for English version (primary AI)

||
*
||
*
|-

|-
|Lantian Li
||
* Review AI Book — College Edition (12/53).
* Project matters: HUAWEI SS/AutoBGM; FYT A/V GenreDetect.
* Prepare materials for my professional title evaluation.
||
*
||
*
|-

|-
|Ying Shi
||
* Thesis
* revise resume
||
*
*
||
*
|-

|-
|Zhenghai You
||
* Multi-Step Infer （multi-task search）[https://z1et6d3xtb.feishu.cn/docx/LlgjdMYVbocGD1xjkMSc17Ttnke]
* Huawei 4-mix SS model training
||
*
||
*
|-

|-
|Junming Yuan
||
* Grade 8 AI practice handbook(done!)
* Further evaluation of our MT-HuBERT model on other speech downstream tasks.
** Based on SUPERB benchmark(Speech processing Universal Performance Benchmark)
*** Firstly focused on Source Separation downstream task(still in training)
*** Intermediate results(SI-SDRi at 50K training steps): MT-HuBERT: 10.77, HuBERT-BASE: 9.84.
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
* Science popularization activities in Changzhi, Shanxi, and returned to the lab on tomorrow.
||
*
||
*
|-

|-
|Wan Lin
||
* Writing research proposal
* Some Experiments [https://z1et6d3xtb.feishu.cn/wiki/NJLtw3l1Xi2xQBkUpCbcRic9nOh?from=from_copylink]
||
*
||
*
|-

|-
|Tianhao Wang
||
* writing my paper (method and experiments is almost done)
* job interviews
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* read some papers on speech separation of unknown number of speakers
* Apply EDA(encoder-decoder based attractor calculation) method to speech separation
** Environment Configuration(done)
** Familiar with the code and make some adjustments to it(in progress)
||
*
||
*
|-

|-
|Junhui Chen
||
* LLM:
** 2 different reflection paper reading
** Baseline self-reflection metric collection — code completed, data collection in progress.
** Integrating new reflection methods (e.g. beamsearch-based reflection) into the current pipeline in collaboration with @Zhang Yu — work in progress.
||
*
||
*
|-

|-
|Jiaying Wang
||
* construct loudness training data: librimix with different loudness source
* loudness order exp[https://z1et6d3xtb.feishu.cn/docx/TDQ9dMYiHoyZnLx6xJDcLg1ZnF3]:
** chain based structure: 2mix 11.92(150 epoch)
** convtasnet structure: still training, 60epoch achieve 12.29
* ctc order exp:
** only use ctc for order, chain based structure: 10.65
* a speculation: Compared with semantic information (provided by CTC), acoustic-oriented information may be more suitable as a basis for separation.

||
* try to use speaker info as order
||
*
|-

|-
|Yu Zhang
||
* LLM:
** Baseline self-reflection metric collection — code completed, data collection in progress.
** Integrating new reflection methods (e.g. beamsearch-based reflection) into the current pipeline in collaboration with @chenjunhui — work in progress.
* AED:
** Added humming test and analysis for Huawei.
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Yang Wei
||
* Train English MD model based on Whisper
||
*
||
*
|-

|-
|Yue Gu
||
* polish the structure of my thesis and continue find jobs
||
*
||
*
|-
|-
|Qi Qu
||
* Elderly alarm customization.
* SLAM (simultaneous localization & mapping) experiments.
||
*
||
*
|-

2025-09-22

2025-09-22T10:47:56Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Travel to Gaungxin
* AI handbook English version (primary) almost done

||
*
||
*
|-

|-
|Lantian Li
||
* Polish the ICASSP 2026 paper
* Discussions on the HUAWEI project
* Graduate recommendation interview
* Review AI Book - College Version (2/53)
||
*
||
*
|-

|-
|Ying Shi
||
* 2 ICASSP Paper
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
* ICASSP26 paper final revise
* Grade 7 AI practice book(Done) and Grade 8 AI practice book(1/10)
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*get sick and relax
*read some paper about Visual Speech Recognition
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
* ChainSep experiments & paper writing
* job hunting and interviews
* some support work for graduate recommendation
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* Supplement experiments to the paper
* read the paper related to my thesis proposal
||
*
||
*
|-

|-
|Junhui Chen
||
*
||
*
||
*
|-

|-
|Jiaying Wang
||
* reproduce sot: use current encoder dosen't work
* use pretrained asr model for separation
** training pure asr module (to determine separation order)
** code done
* reconstructing code (finished in 1-2 days)
||
*
||
*
|-

|-
|Yu Zhang
||
* Completed the reflection inference pipeline of CK-PLUG mix ReDEeP, following a survey paper [https://arxiv.org/abs/2405.06682]
* Reproduced the experiments from survey paper using our model (base model: llama-2-7b-hf) to check if there are any bugs, with performance closely matching the reported results.
||
*
||
*
|-

|-
|Wenqiang Du
||
* Primary AI practice book（Completed 3 and 4 grade）
||
*
||
*
|-

|-
|Yang Wei
||
* Keep working on MD experiment.
||
*
||
*
|-

|-
|Yue Gu
||
* working on my thesis and seeking career opportunities.
||
*
||
*
|-
|-
|Qi Qu
||
* Elderly alarm customization.
||
*
||
*
|-

|-
|Lily
||
* Thesis writing
* AIradiance's daily work
||
*
||
*
|-

2025-09-15

2025-09-15T10:49:58Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* AI handbook English version Check

||
*
||
*
|-

|-
|Lantian Li
||
* Proposal for audio scene understanding.
** Mix-Audio-HuBERT, Mix-Audio-Detector, and Scene-LLM
||
*
||
*
|-

|-
|Ying Shi
||
* mispronunciation detection Paper(introduction & Related work )
* MT-Hubert Paper
||
*
*
||
*
|-

|-
|Zhenghai You
||
* Non-intrusive metrics mutli-step inference[https://z1et6d3xtb.feishu.cn/docx/LlgjdMYVbocGD1xjkMSc17Ttnke]
||
*
||
*
|-

|-
|Junming Yuan
||
* revise icassp paper
* Grade 7 AI practice book(17/17)
||
*
||
*
|-

|-
|Xiaolou Li
||
* Prepare for interview
* PhD Application (RP, PS...)
||
*
||
*
|-

|-
|Zehua Liu
||
*Paper reading and sharing
*job hunting
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
* icassp2026 experiments
* job hunting
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* icassp2026 experiments with tianhao
||
*
||
*
|-

|-
|Junhui Chen
||
* finish debugging of ReDeEP CK-PLUG mix transformer with @Zhang Yu, push to github
* read survey about reflection to look for standard evaluation ways
||
*
||
*
|-

|-
|Jiaying Wang
||
* joint training exp and conclusion see[https://z1et6d3xtb.feishu.cn/docx/TDQ9dMYiHoyZnLx6xJDcLg1ZnF3]
* interviews for job
||
*
||
*
|-

|-
|Yu Zhang
||
* AED
** duanci testing: ROC AUC 0.90 (acceptable)
* LLM
** finish debugging of ReDeEP CK-PLUG mix transformer with @chenjunhui
** choose evaluate dataset & writing inference pipeline (still doing)
||
*
||
*
|-

|-
|Wenqiang Du
||
* Prepare my PhD proposal defense
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
* job hunting and organizing the structure of my thesis.
||
*
||
*
|-
|-
|Qi Qu
||
* ROS experiments.
* Dev work for elderly alarm customization.
||
*
||
*
|-

|-
|Lily
||
* Thesis writing
* Polishing the AI General Education (Junior high school Edition) Handbook
* Polishing the AI General Education (University Edition) Practical Handbook（实践手册）
||
*
||
*
|-

2025-09-08

2025-09-08T10:14:09Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* AI textbook college version publish
* AI handbooks English version check

||
*
||
*
|-

|-
|Lantian Li
||
* Comeback
||
*
||
*
|-

|-
|Ying Shi
||
* mispronunciation detection paper
||
*
*
||
*
|-

|-
|Zhenghai You
||
* Modify multi-step inference
** Using spk similarity to reduce extraction confusion
||
*
||
*
|-

|-
|Junming Yuan
||
* ICASSP2026 paper v0.0(done)
* Grade 7 AI practice book(2/30)
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
*
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
* AED humming cough duanci data collection & hard sampling training (AUC 0.75 -> 0.96)
* reproducing ReDeEP & CK-PLUG with @chenjunhui
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
*
||
*
||
*
|-
|-
|Qi Qu
||
*
||
*
||
*
|-

2025-08-25

2025-08-25T08:03:19Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Check AI textbooks for primary and middle school.
* Compose report to the University
* Check college version of AI textbook

||
*
||
*
|-

|-
|Lantian Li
||
* Made online presentation to China Mobile Research Institute.
* Prepare materials for my professional title evaluation.
* Prepare the application for the Xiaomi Scholar program.
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
*
||
*
|-

|-
|Zhenghai You
||
* Completed the evaluation work of AATC2025 Track2
* Reading some papers about Audio LLM
||
*
||
*
|-

|-
|Junming Yuan
||
* finish MT-HuBERT paper v0.3
* start learning text-enroll KWS task
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
*
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
*
||
*
||
*
|-
|-
|Qi Qu
||
*
||
*
||
*
|-

2025-08-18

2025-08-18T10:41:09Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* AI graph college version
* AI handbook primary version re-check
* AI handbook English version re-check
* Some review work

||
*
||
*
|-

|-
|Lantian Li
||
* ML book v1.0 (Done)
* APSIPA meta-review (Done)
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
*
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
* paper reading and assign to ChenFaxiang
* preparation for job interview & interview
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
* weekly paper sharing
* paper reading
* MLbook code checking (chapter 5/11)
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
* Check and modify the AI course with our partners
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
*
||
*
||
*
|-
|-
|Qi Qu
||
*
||
*
||
*
|-

2025-08-11

2025-08-11T10:12:25Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Primary Textbook, first-term 8 books, done.
* English version, AI Graph, checked and submitted.
* College version, half done.

||
*
||
*
|-

|-
|Lantian Li
||
* Carry on ML book (290/326)
* APSIPA paper review
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
*
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
* back from vacation
* keep on reading paper
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Yu Zhang
||
* Huawei AED code organize and DOC writing (delivery to Zhang Hong Cheng)
* Feedback handling for RoyalFlush GongFu Project acceptance
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Yue Gu
||
* I have finished the first revised version of my SPL paper and the response. I am still focusing on polishing.
||
*
||
*
|-
|-
|Qi Qu
||
* Walking through ROS tutorials.
* Elderly alarm customization: new feature requests (among which, support for Cantonese).
||
*
||
*
|-

2025-08-04

2025-08-04T11:03:54Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Organize conference for AIGE 2025
* Keep on writing text books
||
*
||
*
|-

|-
|Lantian Li
||
* Write ML book (236/326)
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
*
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*create new baseline for VSR-LLM (Qwen3 & Qwen2.5-VL Decoder)
*Leetcode and CV revise for finding jobs
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
* leetcode and resume revising for finding jobs
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* some things of huawei project
* Chapter 2 of the English version of the AI book(3/10)
||
*
||
*
|-

|-
|Junhui Chen
||
*
||
*
||
*
|-

|-
|Jiaying Wang
||
* Shared bakbone verification：
** add conv layers and linear layers after separator, asr task, trained on LibriSpeech data
** LER: 50 epoch 10.78%, 80 epoch 10.29%, 100 epoch 10.09%
** Next step: add separation task on current framework

* Some Leetcode and materials for job hunting
||
*
||
*
|-

|-
|Yu Zhang
||
* AED: SNR detection model training, Support for bad case feed backtesting
* paper reading
||
*
||
*
|-

|-
|Wenqiang Du
||
* Recording AI courses for JiaoYuBu（12/12）
||
*
||
*
|-

|-
|Yang Wei
||
* Text enroll scoring
** Change the very easy random negative samples to harder cases, improve mispronunciation detection performance. Not good enough. (recall base 27% -> text enroll 14%)[https://z1et6d3xtb.feishu.cn/docx/UtTsdeToTocLr2xS6XcchxB6nRh]
||
*
||
*
|-

|-
|Yue Gu
||
* still polish my SPL paper and write the response
* got sick
||
*
||
*
|-
|-
|Qi Qu
||
* (In progress) development for customized elderly alarm project.
* (New) getting familiar with ROS (Robot OS) and the related.
||
*
||
*
|-

2025-07-21

2025-07-21T11:14:02Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Travel to Hangzhou and Qingdao
* Work on AI textbook for primary school

||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* Thesis
||
*
*
||
*
|-

|-
|Zhenghai You
||
* Some support work for AATC2025
* Reproducing solospeech (the results are not good)
||
*
||
*
|-

|-
|Junming Yuan
||
*
||
*
||
*
|-

|-
|Xiaolou Li
||
* AV-HuBERT training...still need a week to finish the training iter 1
* Paper reading
||
*
||
*
|-

|-
|Zehua Liu
||
*CNVSRC2025 website design(Submission system) and paper reading
*Leetcode and eight-part essay for finding jobs
||
*
||
*
|-

|-
|Pengqi Li
||
* 4.5 days for camp work
* make AI courses for JiaoYuBu（1）
||
*
||
*
|-

|-
|Wan Lin
||
* Read papers
* Reproduce Cannistraci-Hebb for sparse network
||
*
||
*
|-

|-
|Tianhao Wang
||
* some support work for CCF audio competition
* experiments for my paper (fail to reproduce FlowSep, diffusion model is hard to train)
* eight-part essay for finding jobs
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
* Help some latex things about ML book
* Paper reading
||
*
||
*
|-

|-
|Jiaying Wang
||
*GuoChuang competition: First Prize of Beijing
* Chain Separation
** libri2mix cc baseline finished，3/4/5mix training ongoing
** reconstructing ASR module：for better integrate the code into the separation framework
* some leetcode for job hunting
||
*
||
*
|-

|-
|Yu Zhang
||
* Paper reading about LLM knowledge leaking and Knowledge conflicts between LLM’s world knowledge and RAG inputs.
* Integrate a back-testing environment that supports order-matching mechanisms into the HFT trading framework.
* Refine tech policy in Multi Agent Investment (still about the technical factor calculate range)
||
*
||
*
|-

|-
|Wenqiang Du
||Camp work
||
*
||
*
|-

|-
|Yang Wei
||
* Finish training a text enroll mispronunciation detection model, under test.
* Prepare and attend Tencent Camp
||
*
||
*
|-

|-
|Turi
||
*
||
*
||
*
|-
|Yue Gu
||
* Response and manuscript is done
* 4.5 days for camp work
||
*
||
*
|-
|-
|Qi Qu
||
* Integrated school alarm backend services with access control.
* (In-progress) Development for customized elderly alarm system.
* Had some fun at Tcamp.
||
*
||
*
|-

2025-06-30

2025-06-30T10:30:33Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Textbook composition

||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
*
||
*
||
*
|-

|-
|Xiaolou Li
||
* CNVSRC2025 Baseline
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|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
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|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
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Turi
||
*
||
*
||
*
|-
|Yue Gu
||
* almost finish th supplement of experiments
* rewriting a section to make it more clear
||
*
||
*
|-
|-
|Qi Qu
||
* (Continuous) integrating PJSIP to ESP32-based application.
* Experiment: Text-Enroll KWS + FunASR [https://b30lttjm7l.feishu.cn/docx/OsJOdIf6ToRDkVxKg7XcbdwKnSJ?from=from_copylink].
||
*
||
*
|-

2025-06-23

2025-06-23T10:56:04Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Primary School Version (3-6) draft done.
* Travel to Xi'an

||
*
||
*
|-

|-
|Lantian Li
||
* Write ML book (38/326)
* Go on Hainan D&B Course
* BUPT Graduate matters
||
*
||
*
|-

|-
|Ying Shi
||
* Write introduction of my thesis
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
* Optimize ASR code(MT-HuBERT WER: 11.33%->7.39%)
* JiaoYuBu AI lesson
||
*
||
*
|-

|-
|Xiaolou Li
||
* CNVSRC2025 VSR baseline training
* CNVSRC2025 data preparation
||
*
||
*
|-

|-
|Zehua Liu
||
*CNVSRC2025 VTS part Baseline code rewriting and checking （Finish）and uploading to github
||
*
||
*
|-

|-
|Pengqi Li
||
* XAI paper-writing the draft.
* JiaoYuBu AI lessons
* TsingHua middle school AI class summer school prepare(Sunday)
||
*
||
*
|-

|-
|Wan Lin
||
* supply experiments for ns paper
||
*
||
*
|-

|-
|Tianhao Wang
||
* Huawei project things
* huawei competition baseline data preparing
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* some test and data filtering of Huawei project
* Write code for the new architecture of sound separation model(in progress)
||
*
||
*
|-

|-
|Junhui Chen
||
* Hainan D&B Course teaching assistant
* Help do some ML book things
* Read paper
||
*
||
*
|-

|-
|Jiaying Wang
||
* GuoChuang competition：
** Slides template modification
** Bussiness Plan completed
* ASR training
** remix max 8k and 16k data, can train model after final check
||
*
||
*
|-

|-
|Yu Zhang
||
* Hainan D&B Course teaching assistant
* AED Quant bug fix (model preparing related)
* Refine Technical Analysis policy for multi agent investment
||
*
||
*
|-

|-
|Wenqiang Du
||
*Check and record AI courses from Jiaoyubu (4/12)
||
*
||
*
|-

|-
|Yang Wei
||
* Did experiment about mispronunciation detection about unclear pronunciation. Adaptation experiment is in progress.
||
*
||
*
|-

|-
|Turi
||
*
||
*
||
*
|-
|Yue Gu
||
* supplement a baseline and some alation experiments
* revise my paper
||
*
||
*
|-
|-
|Qi Qu
||
* (Continuous) integrating PJSIP to ESP32-based application.
* Extended analysis based on on-device test results of Text-Enroll KWS + FunASR.
||
*
||
*
|-

2025-06-16

2025-06-16T10:37:49Z

Cslt：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Redesign AI textbook for primary school
* Travel to Hefei

||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* Restructure my thesis
* Start writing my thesis
||
*
*
||
*
|-

|-
|Zhenghai You
||
*
||
*
||
*
|-

|-
|Junming Yuan
||
* some MT-HuBERT extended exp[https://z1et6d3xtb.feishu.cn/docx/Azkwd9VrVosk26xtoZ8cbBnuntc]
* JiaoYuBu AI lessons with Qiang bro.
||
*
||
*
|-

|-
|Xiaolou Li
||
*
||
*
||
*
|-

|-
|Zehua Liu
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
* XAI paper
** Summarize some experimental phenomena
** organize the structure of the paper
** start writing the draft.
* JiaoYuBu AI lessons with Qiang bro.
||
*
||
*
|-

|-
|Wan Lin
||
*
||
*
||
*
|-

|-
|Tianhao Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
*
||
*
||
*
|-

|-
|Junhui Chen
||
* read paper
* do PhD transfer things
* last fix of NS paper
||
*
||
*
|-

|-
|Jiaying Wang
||
* GuoChuang Competition
** slides modification and change template
** business plan first version completed
* ASR training
** regenerate wsj0 2mix data (dealing with chenjunhui)
||
*
||
*
|-

|-
|Yu Zhang
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
||
*
|-

|-
|Turi
||
*
||
*
||
*
|-
|Yue Gu
||
*
||
*
||
*
|-
|-
|Qi Qu
||
*
||
*
||
*
|-

THUAIGE2025-submission

2025-06-12T08:40:42Z

Cslt：

==首届清华大中小学人工智能通识教育体系研讨会（THUAIGE 2025）征稿==

===1. 简介===
随着人工智能的快速发展，人工智能通识教育成为我国基础教育和高等教育的重要命题。清华大中小学人工智能通识教育体系为我国人工智能通识教育提供了完整的课程体系、书籍、教学材料。然而，如何将这些资料应用于教学实践中，是个亟需探讨的问题。
为此，清华大中小学人工智能通识教育体系研究组将于7月25日到7月29日在北京举行。研讨会以“讲好人工智能通识课”为基本目标，讨论大、中、小各学段的人工智能通识课开课方式、课程资源、实用工具。

本次研讨会除了集体学习、专家讲座，同时邀请一线教育、教学工作者分享教学成果。参加分享的老师需提交报告摘要或论文。所有论文（包括会议投稿论文和会后摘要扩展成的论文）将整理成白皮书，由清华大学出版社出版；优秀论文将推荐到相应期刊发表。

===2. 投稿方向===

（1）AI通识教育的理论研究，如AI体系设计，AI与教学改革，AI与教育心理学等。

（2）AI通识教育的实证研究，如区域性AI通识教育进展，AI教育成果调研，AI教学方法的对比研究。

（3）AI通识教育的实践案例，如AI课程设计，AI实践环节设计，AI创新项目设计。

（4）AI赋能教育教学的实践案例，如AI教育平台，AI教学工具，AI赋能具体学科应用范例。

===3. 投稿类型===
（1）摘要投稿。投稿人需要撰写400字以内的报告摘要，明确报告的题目，报告类型，报告主要内容。优秀报告人会后将被邀请对报告内容进行拓展，形成完整论文。

（2）全文投稿。投稿人提交论文全文，字数为3000-5000字，包括标题、摘要、简介、理论或方法、实践结果，结论与未来展望。文章结构清晰，论述充分。论文格式在投稿阶段不限。

* 所有论文将由特邀专家进行评审，被接收的论文将以白皮书形式发表
* 优秀论文将被推荐到教育学专业期刊。目前推荐期刊为：《教学管理与教育研究》和《计算机教育》。

===4. 投稿途径===

（1）投稿人请将稿件发送至邮箱：liuhp@tup.tsinghua.edu.cn；

（2）邮件主题格式为：“2025研讨会征文”；

（3）投稿截止时间：2025年月7日10日。

THUAIGE2025-submission

2025-06-11T10:53:41Z

Cslt：

==首届清华大中小学人工智能通识教育体系研讨会（THUAIGE 2025）征稿==

===1. 简介===
随着人工智能的快速发展，人工智能通识教育成为我国基础教育和高等教育的重要命题。清华大中小学人工智能通识教育体系为我国人工智能通识教育提供了完整的课程体系、书籍、教学材料。然而，如何将这些资料应用于教学实践中，是个亟需探讨的问题。
为此，清华大中小学人工智能通识教育体系研究组将于7月25日到7月29日在北京举行。研讨会以“讲好人工智能通识课”为基本目标，讨论大、中、小各学段的人工智能通识课开课方式、课程资源、实用工具。

本次研讨会除了集体学习、专家讲座，同时邀请一线教育、教学工作者分享教学成果。参加分享的老师需提交报告摘要或论文。所有论文（包括会议投稿论文和会后摘要扩展成的论文）将整理成白皮书，由清华大学出版社出版；优秀论文将推荐到相应期刊发表。

===2. 投稿方向===

（1）AI通识教育的理论研究，如AI体系设计，AI与教学改革，AI与教育心理学等。

（2）AI通识教育的实证研究，如区域性AI通识教育进展，AI教育成果调研，AI教学方法的对比研究。

（3）AI通识教育的实践案例，如AI课程设计，AI实践环节设计，AI创新项目设计。

（4）AI赋能教育教学的实践案例，如AI教育平台，AI教学工具，AI赋能具体学科应用范例。

===3. 投稿类型===
（1）摘要投稿。投稿人需要撰写400字以内的报告摘要，明确报告的题目，报告类型，报告主要内容。优秀报告人会后将被邀请对报告内容进行拓展，形成完整论文。

（2）全文投稿。投稿人提交论文全文，字数为3000-5000字，包括标题、摘要、简介、理论或方法、实践结果，结论与未来展望。文章结构清晰，论述充分。论文格式在投稿阶段不限。

*所有论文将由特邀专家进行评审，被接收的论文将以白皮书形式发表；优秀论文将被推荐到教育学专业期刊。

===4. 投稿途径===

（1）投稿人请将稿件发送至邮箱：liuhp@tup.tsinghua.edu.cn；

（2）邮件主题格式为：“2025研讨会征文”；

（3）投稿截止时间：2025年月7日10日。

大中小-Event-2025-06-1

2025-06-11T10:34:46Z

Cslt：/* 3. 会议流程 */

==关于召开首届清华大中小学人工智能通识教育体系研讨会的预通知==

为贯彻落实《关于加快推进教育数字化的意见》《中小学人工智能通识教育指南（2025年版）》《中小学生成式人工智能使用指南（2025年版）》文件精神，探索人工智能通识教育的课程设计、教学方法、评估体系，构建具有大中小贯通的人工智能通识教育理论体系，清华大中小学人工智能通识教育项目组定于2025年7月25日至7月29日举办首届清华大中小学人工智能通识教育体系研讨会。本次研讨会的主题是“新挑战新课程新思维”。

本次研讨会主要包括专家报告、清华大中小学人工智能通识教育体系集中学习、生成式人工智能使用辅导、教学实践案例报告等内容。会议旨在探讨人工智能通识教育的发展方向，分享人工智能通识教育研究成果与实践经验，推动我国人工智能通识教育的实际落地。研讨会的优秀论文和精品案例拓展后将形成白皮书，为后续研究和实践提供参考。优秀论文将向相应学段的期刊进行推荐。欢迎全国各地从事人工智能通识教育教学工作的教师们投稿并参会交流。

===1.会议时间与地点===
:*会议时间：2025年7月25日至29日（7月25日报到，29日离会）
:*会议地点：北京（以正式通知为准）

===2.主办单位===
清华大中小学人工智能通识教育体系研究项目组
（清华大学计算机系人工智能通识教育研究中心、清华大学附属中学、清华大学附属小学、清华大学出版社有限公司）

===3. 会议流程===

{| class="wikitable"
! 日期 !! 时间 !! 内容
|-
| 7.25 ||全天 || 报到
|-
| 7.26 ||8：30-9：00 || 开幕式
|-
| ||9：00-12：00 || 如何讲好人工智能课
|-
| ||13：30-17：30 || 如何讲好人工智能课
|-
|7.27 ||8：30-：10：30 ||人工智能发展前沿
|-
| ||10：45-12：00 ||人工智能工具使用
|-
| ||13：30-17：30 ||人工智能课程研究
|-
|7.28 ||8：30-：12：00 ||人工智能课程研究
|-
| ||13:30-17:30 ||人工智能课程研究
|-
| ||17：30 ||闭幕式/优秀论文颁奖
|-
|7.29 ||全天 ||离会
|-
|}

===4. 投稿方式与截止时间===

见 [[THUAIGE2025-submission|投稿指南]]

===5.参会人员及会议费===

*早鸟报名费（2025年7月1日之前报名）

:* 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师800元/人，其他教师1200元/人。
:* 其他教师，1350元/人。
:* 企业人员，2400元/人。

*晚到报名费（2025年7月2日及之后报名）

:* 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师900元/人，其他教师1400元/人。
:* 其他教师，1500元/人。
:* 企业人员，2600元/人。

*参加本次活动所产生的的住宿费、伙食费、往返交通费等各项费用回本单位报销。

===6.会议报名===

[[文件:Thuaige.jpg]]

===7. 联系人===
:*毛丽旦，15790698190，aigraph@cslt.org
:*刘翰鹏，13810537118，liuhp@tup.tsinghua.edu.cn

大中小-Event-2025-06-1

2025-06-11T10:33:53Z

Cslt：/* 6.会议报名 */

==关于召开首届清华大中小学人工智能通识教育体系研讨会的预通知==

为贯彻落实《关于加快推进教育数字化的意见》《中小学人工智能通识教育指南（2025年版）》《中小学生成式人工智能使用指南（2025年版）》文件精神，探索人工智能通识教育的课程设计、教学方法、评估体系，构建具有大中小贯通的人工智能通识教育理论体系，清华大中小学人工智能通识教育项目组定于2025年7月25日至7月29日举办首届清华大中小学人工智能通识教育体系研讨会。本次研讨会的主题是“新挑战新课程新思维”。

本次研讨会主要包括专家报告、清华大中小学人工智能通识教育体系集中学习、生成式人工智能使用辅导、教学实践案例报告等内容。会议旨在探讨人工智能通识教育的发展方向，分享人工智能通识教育研究成果与实践经验，推动我国人工智能通识教育的实际落地。研讨会的优秀论文和精品案例拓展后将形成白皮书，为后续研究和实践提供参考。优秀论文将向相应学段的期刊进行推荐。欢迎全国各地从事人工智能通识教育教学工作的教师们投稿并参会交流。

===1.会议时间与地点===
:*会议时间：2025年7月25日至29日（7月25日报到，29日离会）
:*会议地点：北京（以正式通知为准）

===2.主办单位===
清华大中小学人工智能通识教育体系研究项目组
（清华大学计算机系人工智能通识教育研究中心、清华大学附属中学、清华大学附属小学、清华大学出版社有限公司）

===3. 会议流程===

{| class="wikitable"
! 日期 !! 时间 !! 内容
|-
| 7.25 ||全天 || 报到
|-
| 7.26 ||8：30-9：00 || 开幕式
|-
| ||9：00-12：00 || 如何讲好人工智能课
|-
| ||13：30-17：30 || 如何讲好人工智能课
|-
|7.27 ||8：30-：10：30 ||人工智能发展前沿
|-
| ||10：45-12：00 ||人工智能工具使用
|-
| ||13：30-17：30 ||人工智能课程研究
|-
|7.28 ||8：30-：12：00 ||人工智能课程研究
|-
| ||13:30-17:30 ||人工智能课程研究
|-
| ||17：30 ||闭幕式/优秀论文颁奖
|-
|}

===4. 投稿方式与截止时间===

见 [[THUAIGE2025-submission|投稿指南]]

===5.参会人员及会议费===

*早鸟报名费（2025年7月1日之前报名）

:* 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师800元/人，其他教师1200元/人。
:* 其他教师，1350元/人。
:* 企业人员，2400元/人。

*晚到报名费（2025年7月2日及之后报名）

:* 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师900元/人，其他教师1400元/人。
:* 其他教师，1500元/人。
:* 企业人员，2600元/人。

*参加本次活动所产生的的住宿费、伙食费、往返交通费等各项费用回本单位报销。

===6.会议报名===

[[文件:Thuaige.jpg]]

===7. 联系人===
:*毛丽旦，15790698190，aigraph@cslt.org
:*刘翰鹏，13810537118，liuhp@tup.tsinghua.edu.cn

大中小-Event-2025-06-1

2025-06-11T10:32:54Z

Cslt：

==关于召开首届清华大中小学人工智能通识教育体系研讨会的预通知==

为贯彻落实《关于加快推进教育数字化的意见》《中小学人工智能通识教育指南（2025年版）》《中小学生成式人工智能使用指南（2025年版）》文件精神，探索人工智能通识教育的课程设计、教学方法、评估体系，构建具有大中小贯通的人工智能通识教育理论体系，清华大中小学人工智能通识教育项目组定于2025年7月25日至7月29日举办首届清华大中小学人工智能通识教育体系研讨会。本次研讨会的主题是“新挑战新课程新思维”。

本次研讨会主要包括专家报告、清华大中小学人工智能通识教育体系集中学习、生成式人工智能使用辅导、教学实践案例报告等内容。会议旨在探讨人工智能通识教育的发展方向，分享人工智能通识教育研究成果与实践经验，推动我国人工智能通识教育的实际落地。研讨会的优秀论文和精品案例拓展后将形成白皮书，为后续研究和实践提供参考。优秀论文将向相应学段的期刊进行推荐。欢迎全国各地从事人工智能通识教育教学工作的教师们投稿并参会交流。

===1.会议时间与地点===
:*会议时间：2025年7月25日至29日（7月25日报到，29日离会）
:*会议地点：北京（以正式通知为准）

===2.主办单位===
清华大中小学人工智能通识教育体系研究项目组
（清华大学计算机系人工智能通识教育研究中心、清华大学附属中学、清华大学附属小学、清华大学出版社有限公司）

===3. 会议流程===

{| class="wikitable"
! 日期 !! 时间 !! 内容
|-
| 7.25 ||全天 || 报到
|-
| 7.26 ||8：30-9：00 || 开幕式
|-
| ||9：00-12：00 || 如何讲好人工智能课
|-
| ||13：30-17：30 || 如何讲好人工智能课
|-
|7.27 ||8：30-：10：30 ||人工智能发展前沿
|-
| ||10：45-12：00 ||人工智能工具使用
|-
| ||13：30-17：30 ||人工智能课程研究
|-
|7.28 ||8：30-：12：00 ||人工智能课程研究
|-
| ||13:30-17:30 ||人工智能课程研究
|-
| ||17：30 ||闭幕式/优秀论文颁奖
|-
|}

===4. 投稿方式与截止时间===

见 [[THUAIGE2025-submission|投稿指南]]

===5.参会人员及会议费===

*早鸟报名费（2025年7月1日之前报名）

:* 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师800元/人，其他教师1200元/人。
:* 其他教师，1350元/人。
:* 企业人员，2400元/人。

*晚到报名费（2025年7月2日及之后报名）

:* 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师900元/人，其他教师1400元/人。
:* 其他教师，1500元/人。
:* 企业人员，2600元/人。

*参加本次活动所产生的的住宿费、伙食费、往返交通费等各项费用回本单位报销。

===6.会议报名===
报名方式：

[[文件:Thuaige.jpg]]

===7. 联系人===
:*毛丽旦，15790698190，aigraph@cslt.org
:*刘翰鹏，13810537118，liuhp@tup.tsinghua.edu.cn

大中小-Event-2025-06-1

2025-06-11T10:32:08Z

Cslt：

==关于召开首届清华大中小学人工智能通识教育体系研讨会的预通知==

为贯彻落实《关于加快推进教育数字化的意见》《中小学人工智能通识教育指南（2025年版）》《中小学生成式人工智能使用指南（2025年版）》文件精神，探索人工智能通识教育的课程设计、教学方法、评估体系，构建具有大中小贯通的人工智能通识教育理论体系，清华大中小学人工智能通识教育项目组定于2025年7月25日至7月29日举办首届清华大中小学人工智能通识教育体系研讨会。本次研讨会的主题是“新挑战新课程新思维”。

本次研讨会主要包括专家报告、清华大中小学人工智能通识教育体系集中学习、生成式人工智能使用辅导、教学实践案例报告等内容。会议旨在探讨人工智能通识教育的发展方向，分享人工智能通识教育研究成果与实践经验，推动我国人工智能通识教育的实际落地。研讨会的优秀论文和精品案例拓展后将形成白皮书，为后续研究和实践提供参考。优秀论文将向相应学段的期刊进行推荐。欢迎全国各地从事人工智能通识教育教学工作的教师们投稿并参会交流。

===1.会议时间与地点===
:*会议时间：2025年7月25日至29日（7月25日报到，29日离会）
:*会议地点：北京（以正式通知为准）

===2.主办单位===
清华大中小学人工智能通识教育体系研究项目组
（清华大学计算机系人工智能通识教育研究中心、清华大学附属中学、清华大学附属小学、清华大学出版社有限公司）

===3. 会议流程===

{| class="wikitable"
! 日期 !! 时间 !! 内容
|-
| 7.25 ||全天 || 报到
|-
| 7.26 ||8：30-9：00 || 开幕式
|-
| ||9：00-12：00 || 如何讲好人工智能课
|-
| ||13：30-17：30 || 如何讲好人工智能课
|-
|7.27 ||8：30-：10：30 ||人工智能发展前沿
|-
| ||10：45-12：00 ||人工智能工具使用
|-
| ||13：30-17：30 ||人工智能课程研究
|-
|7.28 ||8：30-：12：00 ||人工智能课程研究
|-
| ||13:30-17:30 ||人工智能课程研究
|-
| ||17：30 ||闭幕式/优秀论文颁奖
|-
|}

===4. 投稿方式与截止时间===

见 [[THUAIGE2025-submission|投稿指南]]

===5.参会人员及会议费===

*早鸟报名费（2025年7月1日之前报名）

:* 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师800元/人，其他教师1200元/人。
:* 其他教师，1350元/人。
:* 企业人员，2400元/人。

*晚到报名费（2025年7月2日及之后报名）

:* 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师900元/人，其他教师1400元/人。
:* 其他教师，1500元/人。
:* 企业人员，2600元/人。

*参加本次活动所产生的的住宿费、伙食费、往返交通费等各项费用回本单位报销。

===6.会议报名===
报名方式：

[[文件:Thuaige.jpg]]

预报名截止：2025年7月10日

===7. 联系人===
:*毛丽旦，15790698190，aigraph@cslt.org
:*刘翰鹏，13810537118，liuhp@tup.tsinghua.edu.cn

大中小-Event-2025-06-1

2025-06-11T10:28:12Z

Cslt：

==关于召开首届清华大中小学人工智能通识教育体系研讨会的预通知==

为贯彻落实《关于加快推进教育数字化的意见》《中小学人工智能通识教育指南（2025年版）》《中小学生成式人工智能使用指南（2025年版）》文件精神，探索人工智能通识教育的课程设计、教学方法、评估体系，构建具有大中小贯通的人工智能通识教育理论体系，清华大中小学人工智能通识教育项目组定于2025年7月25日至7月29日举办首届清华大中小学人工智能通识教育体系研讨会。本次研讨会的主题是“新挑战新课程新思维”。

本次研讨会主要包括专家报告、清华大中小学人工智能通识教育体系集中学习、生成式人工智能使用辅导、教学实践案例报告等内容。会议旨在探讨人工智能通识教育的发展方向，分享人工智能通识教育研究成果与实践经验，推动我国人工智能通识教育的实际落地。研讨会的优秀论文和精品案例拓展后将形成白皮书，为后续研究和实践提供参考。优秀论文将向相应学段的期刊进行推荐。欢迎全国各地从事人工智能通识教育教学工作的教师们投稿并参会交流。

===1.会议时间与地点===
:*会议时间：2025年7月25日至29日（7月25日报到，29日离会）
:*会议地点：北京（以正式通知为准）

===2.主办单位===
清华大中小学人工智能通识教育体系研究项目组
（清华大学计算机系人工智能通识教育研究中心、清华大学附属中学、清华大学附属小学、清华大学出版社有限公司）

===3. 会议流程===

{| class="wikitable"
! 日期 !! 时间 !! 内容
|-
| 7.25 ||全天 || 报到
|-
| 7.26 ||8：30-9：00 || 开幕式
|-
| ||9：00-12：00 || 如何讲好人工智能课
|-
| ||13：30-17：30 || 如何讲好人工智能课
|-
|7.27 ||8：30-：10：30 ||人工智能发展前沿
|-
| ||10：45-12：00 ||人工智能工具使用
|-
| ||13：30-17：30 ||人工智能课程研究
|-
|7.28 ||8：30-：12：00 ||人工智能课程研究
|-
| ||13:30-17:30 ||人工智能课程研究
|-
| ||17：30 ||闭幕式/优秀论文颁奖
|-
|}

===4. 投稿方式与截止时间===
见 [[THUAIGE2025-submission|投稿指南]]

===5.参会人员及会议费===

:* 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师800元/人，其他教师1200元/人。
:* 其他教师，1350元/人。
:* 企业人员，2400元/人。

*参加本次活动所产生的的住宿费、伙食费、往返交通费等各项费用回本单位报销。

===6. 会议报名===

[[文件:Thuaige.jpg]]

===联系人===
:*毛丽旦，15790698190，aigraph@cslt.org
:*刘翰鹏，13810537118，liuhp@tup.tsinghua.edu.cn

大中小-Event-2025-06-1

2025-06-11T10:27:37Z

Cslt：

==关于召开首届清华大中小学人工智能通识教育体系研讨会的预通知==

为贯彻落实《关于加快推进教育数字化的意见》《中小学人工智能通识教育指南（2025年版）》《中小学生成式人工智能使用指南（2025年版）》文件精神，探索人工智能通识教育的课程设计、教学方法、评估体系，构建具有大中小贯通的人工智能通识教育理论体系，清华大中小学人工智能通识教育项目组定于2025年7月25日至7月29日举办首届清华大中小学人工智能通识教育体系研讨会。本次研讨会的主题是“新挑战新课程新思维”。

本次研讨会主要包括专家报告、清华大中小学人工智能通识教育体系集中学习、生成式人工智能使用辅导、教学实践案例报告等内容。会议旨在探讨人工智能通识教育的发展方向，分享人工智能通识教育研究成果与实践经验，推动我国人工智能通识教育的实际落地。研讨会的优秀论文和精品案例拓展后将形成白皮书，为后续研究和实践提供参考。优秀论文将向相应学段的期刊进行推荐。欢迎全国各地从事人工智能通识教育教学工作的教师们投稿并参会交流。

===1.会议时间与地点===
:*会议时间：2025年7月25日至29日（7月25日报到，29日离会）
:*会议地点：北京（以正式通知为准）

===2.主办单位===
清华大中小学人工智能通识教育体系研究项目组
（清华大学计算机系人工智能通识教育研究中心、清华大学附属中学、清华大学附属小学、清华大学出版社有限公司）

===3. 会议流程===

{| class="wikitable"
! 日期 !! 时间 !! 内容
|-
| 7.25 ||全天 || 报到
|-
| 7.26 ||8：30-9：00 || 开幕式
|-
| ||9：00-12：00 || 如何讲好人工智能课
|-
| ||13：30-17：30 || 如何讲好人工智能课
|-
|7.27 ||8：30-：10：30 ||人工智能发展前沿
|-
| ||10：45-12：00 ||人工智能工具使用
|-
| ||13：30-17：30 ||人工智能课程研究
|-
|7.28 ||8：30-：12：00 ||人工智能课程研究
|-
| ||13:30-17:30 ||人工智能课程研究
|-
| ||17：30 ||闭幕式/优秀论文颁奖
|-
|}

===4. 投稿方式与截止时间===
见 [[THUAIGE2025-submission|投稿指南]]

===5.参会人员及会议费===

*: 清华大中小学人工智能通识教育体系研究与实践单位、教学试点单位的联系人、认证讲师800元/人，其他教师1200元/人。
*: 其他教师，1350元/人。
*: 企业人员，2400元/人。

*参加本次活动所产生的的住宿费、伙食费、往返交通费等各项费用回本单位报销。

===6. 会议报名===

[[文件:Thuaige.jpg]]

===联系人===
:*毛丽旦，15790698190，aigraph@cslt.org
:*刘翰鹏，13810537118，liuhp@tup.tsinghua.edu.cn

THUAIGE2025-submission

2025-06-11T10:25:21Z

Cslt：

==首届清华大中小学人工智能通识教育体系研讨会（THUAIGE 2025）征稿==

===1. 简介===
随着人工智能的快速发展，人工智能通识教育成为我国基础教育和高等教育的重要命题。清华大中小学人工智能通识教育体系为我国人工智能通识教育提供了完整的课程体系、书籍、教学材料。然而，如何将这些资料应用于教学实践中，是个亟需探讨的问题。
为此，清华大中小学人工智能通识教育体系研究组将于7月25日到7月29日在北京举行。研讨会以“讲好人工智能通识课”为基本目标，讨论大、中、小各学段的人工智能通识课开课方式、课程资源、实用工具。

本次研讨会除了集体学习、专家讲座，同时邀请一线教育、教学工作者分享教学成果。参加分享的老师需提交报告摘要或论文。所有论文（包括会议投稿论文和会后摘要扩展成的论文）将整理成白皮书，由清华大学出版社出版；优秀论文将推荐到相应期刊发表。

===2. 投稿方向===

（1）AI通识教育的理论研究，如AI体系设计，AI与教学改革，AI与教育心理学等。

（2）AI通识教育的实证研究，如区域性AI通识教育进展，AI教育成果调研，AI教学方法的对比研究。

（3）AI通识教育的实践案例，如AI课程设计，AI实践环节设计，AI创新项目设计。

（4）AI赋能教育教学的实践案例，如AI教育平台，AI教学工具，AI赋能具体学科应用范例。

===3. 投稿类型===
（1）摘要投稿。投稿人需要撰写400字以内的报告摘要，明确报告的题目，报告类型，报告主要内容。优秀报告人会后将被邀请对报告内容进行拓展，形成完整论文。

（2）全文投稿。投稿人提交论文全文，字数为3000-5000字，包括标题、摘要、简介、理论或方法、实践结果，结论与未来展望。文章结构清晰，论述充分。论文格式在投稿阶段不限。
论文将由特邀专家进行评审，被接收的论文将以白皮书形式发表；优秀论文将被推荐到教育学专业期刊。

===4. 投稿途径===

（1）投稿人请将稿件发送至邮箱：liuhp@tup.tsinghua.edu.cn；

（2）邮件主题格式为：“2025研讨会征文”；

（3）投稿截止时间：2025年月7日10日。