cslt Wiki - 用户贡献 [zh-cn]

2026-03-30

2026-03-30T10:55:05Z

Zhanghc：

{| 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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*
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*
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|Wenqiang Du
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* Complete test Qwen3-omni model
* Trip to Pingyao
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*
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|Yang Wei
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* Data cleaning of concert songs
* Trip to Pingyao
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|Ying Shi
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*
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*
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*
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|Yue Gu
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* write my Phd thesis, reivew some papers
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*
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*
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|Lily
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* Journal paper final version submitted
* Material preparation for 5.11 conference
* AIGE2026 conference related tasks
* AIGE Lecturer system testing ，ready for released
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*
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*
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|Pengqi Li
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*
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|Junming Yuan
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* MT-HuBERT Journal paper EN(done)
* ICASSP PPT refinement(done)
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*
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|Yu Zhang
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* Single Node Behavior experiments append, Currently running Chain level Best Order optimize (final experiment)
* Refactored the overall narrative structure of the paper.
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|Junhui Chen
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*
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|Xiaoxue Luo
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* test the performance of USS with TDA(transformer decoder-based attractor)
** USS-EDA: 2mix_sdri=8.501, 3mix_sdri=7.372
** USS-TDA: 2mix_sdri=9.616, 3mix_sdri=8.603
* prepare some test and analysis
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|Bochao Hu
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*
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|Hongcheng Zhang
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*reproduce Dynamic Acoustic Mixer（40%）&email for the author
*inhome data test for qwen3-omni on AED perform not good，shifting a proper way to eval it
*prepare paper share
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*
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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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*
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*
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|Ge Gao
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*Download concert data for speech separation
*focus on my graduation project
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|Shuailong Li
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*
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*
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*
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2026-03-23

2026-03-23T10:49:55Z

Zhanghc：

{| 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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*
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*
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|Lantian Li
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*
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*
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*
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|Wenqiang Du
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*AIbabel
** Deployment funasr-nano
** find the reason for the low KWS ACC(current thresholding strategy is wrong.）
**Local deployment the Qwen3 and Testing Qwen's audio-video understanding capabilities.（90%）
* Audio separation
** add causal convolution (80/100 epoch)
** add slft-attention (50/100 epoch)
* AIGE
** AI 100 question (60/100)
** High school AI couse done（14/14）
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*
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|Yang Wei
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*
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*
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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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*
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|Yue Gu
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* write my thesis
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*
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|Lily
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* Revise thesis
* Journal paper rebuttal
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*
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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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*
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*
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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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*
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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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*
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*
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|Bochao Hu
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*
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*
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|Hongcheng Zhang
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*reproduce the TAC（Timestamped Audio Captioning）'s Dynamic Acoustic Mixer（30%）
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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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*convert the MTASS framework to a streaming architecture
*prepare my graduation project
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2026-03-16

2026-03-16T10:54:32Z

Zhanghc：

{| 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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* MoE daily work
* Examine master's theses
* Write NSFC proposal
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*
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|Wenqiang Du
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* New project collaboration
* Some AI course reviews
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|Yang Wei
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* Deal with streaming audio visual speech separation.
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|Ying Shi
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*
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|Yue Gu
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* still write my Phd paper
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*
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|Lily
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* Thesis Writing
* CMT System Setup for AIGE 2026
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*
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*
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|Pengqi Li
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* Interview preparation
* Experimentation[https://z1et6d3xtb.feishu.cn/docx/U2ahdnEdbolPluxExxWcnmI3nog]
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*
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*
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|Junming Yuan
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*
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*
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*
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|Yu Zhang
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* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* LLM: Swarm Lazy & Adv complex topo pruning finish (ECS for Adv Agents, PKS for Lazy Agents)
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|Junhui Chen
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* Organizing existing experiments and structuring the logic; identified some issues in the experiments and arguments (currently a bit messy) and continuing to refine.
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|Jiaying Wang
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* Thesis modifying
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*
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|Xiaoxue Luo
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* USS with EDA(encoder-decoder based attractor)
** train the model with filtered data, test result:2mix_sdri=8.474, 3mix_sdri=7.472(The test results are the same as those of SJTU）
* Huawei project
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*
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|Bochao Hu
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* finetuning visual encoder in new domain, which cer is 0.2727
* baseline: VSR-pre-trained Encoder + Qwen_VL finetune only (VL-Decoder) is in training
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|Hongcheng Zhang
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*inhome data test，the report will finish on Tuesday
*read some paper
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|Weiman Sun
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*
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|Ge Gao
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2026-03-09

2026-03-09T10:51:55Z

Zhanghc：

{| 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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*
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*
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|Wenqiang Du
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* Online KWS Model Debug for AIbabel
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*
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*
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|Yang Wei
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* Developing Audio visual speech separation streaming demo.
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|Ying Shi
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* thesis
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*
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*
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|Yue Gu
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*
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|Lily
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* Thesis writing
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*
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*
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|Pengqi Li
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*
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*
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|Junming Yuan
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*
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|Yu Zhang
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* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* LLM: Still Tuning the complex topo loss design (to prune Lazy Agents), find some bugs in loss design with @chenjunhui
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*
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*
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|Junhui Chen
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* LLM
** check @ZhangYu's code and debug
** design a game to prove best swarm construction has highest parameter knowledge score (can be used in RL)
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*
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|Jiaying Wang
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* Thesis modifying
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*
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*
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|Xiaoxue Luo
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* attractor-based USS
** filter out a purer dataset for training(use a SED model to detect the anchor segment in audio clip that is most likely contain a sound event)
* Huawei project
** train the model using VGGSound and data provided by Huawei(in training)
*** 30epoch & 2mix: speech_sisdr = 11.785，music_sisdr = 11.7161. The previous training did have an overfitting problem.
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|Bochao Hu
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*
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|Hongcheng Zhang
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*Evaluating the boundaries of visual capabilities for small and medium-sized models in Qwen3.5
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|Weiman Sun
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* papers about the representation analysis to multi-task and instruction-tune
* add the prompt-aware lora module to the MTLLM
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*
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2026-03-02

2026-03-02T10:54:15Z

Zhanghc：

{| 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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*
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*
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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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*
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*
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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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*
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*
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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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*
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*
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|Ying Shi
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* thesis(almost finished)
* huawei project
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*
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*
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|Yue Gu
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* write the Phd thesis
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*
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*
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|Lily
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* INTERSPEECH Submission
* Thesis Writing
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*
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*
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|Pengqi Li
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* Coding for multi-label BCE fine-tuning and still training.
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*
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*
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|Junming Yuan
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*
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*
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*
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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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*
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*
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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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*
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*
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|Jiaying Wang
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* Thesis Writing
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*
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*
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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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*
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*
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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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*
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*
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|Hongcheng Zhang
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*collect recent research about audio and visual omni LLM
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*
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*
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|Weiman Sun
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*improved the graduation project
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*
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*
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2026-03-02

2026-03-02T10:53:57Z

Zhanghc：

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

|-
|Dong Wang
||
* 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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*
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*
|-

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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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*
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*
|-

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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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*
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*
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|Yang Wei
||
* MD experiment (3 heads for 3 annotators) for Interspeech.
* Develop streaming AVSR service, in progress.
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*
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*
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|Ying Shi
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* thesis(almost finished)
* huawei project
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*
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*
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|Yue Gu
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* write the Phd thesis
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*
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*
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|Lily
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* INTERSPEECH Submission
* Thesis Writing
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*
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*
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|Pengqi Li
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* Coding for multi-label BCE fine-tuning and still training.
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*
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*
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|Junming Yuan
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*
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*
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*
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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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*
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*
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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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*
|-

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|Jiaying Wang
||
* Thesis Writing
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*
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*
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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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*
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*
|-

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|Bochao Hu
||
* topic-based VSR-LLM:
** summarize the topic words from our dataset
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*
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*
|-

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|Hongcheng Zhang
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*
||collect recent research about audio and visual omni LLM
*
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*
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|Weiman Sun
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*improved the graduation project
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*
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*
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2026-02-02

2026-02-02T10:37:30Z

Zhanghc：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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*
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*
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*
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|Lantian Li
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*
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*
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*
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|Wenqiang Du
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*
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*
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*
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|Yang Wei
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*
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*
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*
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|Ying Shi
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*
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*
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*
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|Yue Gu
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* write my Phd thesis and collect the picture
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*
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*
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|Lily
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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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*
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*
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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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*
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*
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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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*
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|Junhui Chen
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*
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*
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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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*
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*
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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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*
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*
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|Bochao Hu
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*
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*
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*
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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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*
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*
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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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*
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*
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2026-02-02

2026-02-02T10:34:04Z

Zhanghc：

2026-01-26

2026-01-26T10:43:32Z

Zhanghc：

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

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|Dong Wang
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* AI middle school hand book / English version almost completed.
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*
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*
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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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*
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|Wenqiang Du
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* Project work about AIbabel
** Upgraded online model
** New demand technology survey
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*
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*
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|Yang Wei
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*
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*
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*
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|Ying Shi
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*
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*
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*
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|Yue Gu
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* write my thesis
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*
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*
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|Lily
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*
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*
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*
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|Pengqi Li
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*
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*
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*
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|Junming Yuan
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* learn-not-to-listen MT-HuBERT
** PR(PER%), LNTL-MT-HuBERT: 7.24%, Clean-HuBERT: 5.41%, WavLM: 4.84%
** ASR(WER%), LNTL-MT-HuBERT: 8.43%, Clean-HuBERT: 6.42%, WavLM: 6.21%
** SD(DER%), LNTL-MT-HuBERT: 4.31%, Cocktail-HuBERT: 4.07%, MT-HuBERT: 3.93%
* revise ICASSP final paper
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*
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*
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|Yu Zhang
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* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* LLM
** Completed the code for Swarm MMLU metric-based optimization together with @chenjunhui
** Still working on modifying the Swarm topology code (for more complex swarm topology)
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*
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*
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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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*
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*
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|Jiaying Wang
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*
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*
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*
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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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*
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*
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|Bochao Hu
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* read papers
* prepare the weekly report
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*
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*
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|Hongcheng Zhang
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*made zero-shot on clotho and Audiocaps
**result：ROUGE-L（0.2931，0.3998），CIDEr（0.0986，0.2312），SPIDEr（0.0800，0.1762），（clotho，Audiocaps）
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*
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*
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|Weiman Sun
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*Ran a completely opposite ASR task on the same data
**Consistent with last week's result
*Analyze different models
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*
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*
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2026-01-19

2026-01-19T10:45:58Z

Zhanghc：

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

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|Dong Wang
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* Recheck AI textbooks for primary and middle schools.
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*
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*
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|Lantian Li
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*
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*
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*
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|Wenqiang Du
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* Statistics the accounts for three companies, our laboratory and AIGE.
* Check AI textbooks
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*
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*
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|Yang Wei
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*
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*
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*
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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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*
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*
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|Yue Gu
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* write my Phd thesis
* the seminar
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*
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*
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|Lily
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* Participated in reviewing the AI handbooks (primary/middle/high school)
* Compiled course materials for the AI Handbook (Senior Edition)
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*
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*
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|Pengqi Li
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*
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*
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*
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|Junming Yuan
||
* Aug-MT-HuBERT(failed)
** Continued pre-training for 600K steps. there is still no improvement observed on clean-speech tasks.
*** Aug-MT-HuBERT has more substitution errors in clean ASR adaptation.
* Incorporate a "learn-not-to-listen" mechanism into MT-HuBERT and retrain the backbone. (in progress)
** At 425K steps, PR(PER%): 8.18%, ASR(WER%): 9.32%, SD(DER%): 5.05%
* prepare the slides of the seminar
* middle school AI textbook checking(picture, table)
||
*
||
*
|-

|-
|Yu Zhang
||
* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* LLM
** Rewrite the graph connectivity of Swarm MMLU (the original topology does not align with our expectations).
** Add context segmentation logic to the ECS computation, so that we can trace which preceding node a given text segment originates from.
||
*
||
*
|-

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

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

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

|-
|Hongcheng Zhang
||
*Complete the training of short audio descriptions for AudioSet-SL in WavCaps
**METEOR: 0.3373， ROUGE-L: 0.3121， BLEU-4 : 0.0769， CIDEr : 0.6207
||
*
||
*
|-

|-
|Weiman Sun
||
* Label audioset vedio dataset
* Analyze the representation of MT-LLM inference and review relevant literature
||
*
||
*
|-

2026-01-19

2026-01-19T10:41:48Z

Zhanghc：

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

|-
|Dong Wang
||
* Recheck AI textbooks for primary and middle schools.
||
*
||
*
|-

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

|-
|Wenqiang Du
||
* Statistics the accounts for three companies, our laboratory and AIGE.
* Check AI textbooks
||
*
||
*
|-

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

|-
|Ying Shi
||
* Thesis
* Huawei multi-talker ASR project(Mandarin 2-mix test with FunASR-Nano-800M)
** ground-truth WER 3.89%
** separated WER 12.11%
||
*
||
*
|-

|-
|Yue Gu
||
* write my Phd thesis
* the seminar
||
*
||
*
|-

|-
|Lily
||
* Participated in reviewing the AI handbooks (primary/middle/high school)
* Compiled course materials for the AI Handbook (Senior Edition)
||
*
||
*
|-

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

|-
|Junming Yuan
||
* Aug-MT-HuBERT(failed)
** Continued pre-training for 600K steps. there is still no improvement observed on clean-speech tasks.
*** Aug-MT-HuBERT has more substitution errors in clean ASR adaptation.
* Incorporate a "learn-not-to-listen" mechanism into MT-HuBERT and retrain the backbone. (in progress)
** At 425K steps, PR(PER%): 8.18%, ASR(WER%): 9.32%, SD(DER%): 5.05%
* prepare the slides of the seminar
* middle school AI textbook checking(picture, table)
||
*
||
*
|-

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

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

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

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

|-
|Hongcheng Zhang
||
*Complete the training of short audio descriptions for AudioSet-SL in WavCaps：
*METEOR: 0.3373 ROUGE-L: 0.3121 BLEU-4 : 0.0769 CIDEr : 0.6207

||
*
||
*
|-

|-
|Weiman Sun
||
* Label audioset vedio dataset
* Analyze the representation of MT-LLM inference and review relevant literature
||
*
||
*
|-

2026-01-12

2026-01-12T10:44:49Z

Zhanghc：

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

|-
|Dong Wang
||
* Double check English version of high-scholl handbook.
* Check English version of middle-school handbook.
||
*
||
*
|-

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

|-
|Wenqiang Du
||

* Complete recording high school AI courses（14/14）
* Creat PPT for high school AI course (3/14)
||
*
||
*
|-

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

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

|-
|Yue Gu
||
* Revise the Phd thesis structure
* Seminar. In an anonymous vote of 20 people, 75% chose to freely discuss.
||
*
||
*
|-

|-
|Lily
||
*
||
*
||
*
|-

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

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

|-
|Yu Zhang
||
* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* Finish final exam
* Writing code to analyze LLM Swarm metrics, mainly looking at how ECS/PKS correlate with the optimized edge probability.
||
*
||
*
|-

|-
|Junhui Chen
||
* finish final exam
* debug code about swarm minicrossword test
||
*
||
*
|-

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

|-
|Jiaying Wang
||
* spk model training(130/300):reconstruct data, now training data is aligned with separation data
** recall@k of 130 epoch: 2mix recall@2=0.9799, 3mix recall@3=0.9101, 4mix recall@4=0.8247

||
*
||
*
|-

|-
|Tianhao Wang
||
* revised ChainSep paper
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* 2-5mix multi_head separation model for Huawei project
** write code for the multi-speaker and multi-sound events separation task，complete data preparation and feature extraction
** adjust the model structure to three heads(speech, music and others), the model is still in training, and current val_sisdr is 11.38
||
*
||
*
|-

|-

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

|-
|Hongcheng Zhang
||
* finish final exam
* debug for asu-llm code and train the task audio caption with WavCaps(1/20 epoches)
||
*
||
*
|-

2026-01-05

2026-01-05T10:44:19Z

Zhanghc：

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

|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
* Final review of my MLA book (3/10)
* MoE daily work
||
*
||
*
|-

|-
|Wenqiang Du
||
* Check AI course PPT(4/14)
* Completed AI100 question task and will be uploaded to the platform this month
||
*
||
*
|-

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

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

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

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

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

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

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

|-
|Jiaying Wang
||
* spk order separation training
||
*
||
*
|-

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

|-
|Xiaoxue Luo
||
* 2-5mix USS model for Huawei project
** SI-SDR : 2mix: 4.725， 3mix: 0.866， 4mix: -1.155， 5mix: -2.709
* design a better solution for the Huawei project task
||
*
||
*
|-

|-
|Yue Gu
||
* write Phd defense slides
||
*
||
*
|-

|-
|Lily
||
*
||
*
||
*
|-

|-
|Bochao Hu
||
* P2S (trained by noised data)wer: 45%
||
*
||
*
|-

|-
|Hongcheng Zhang
||
* finish the main code of ASU-LLM (CLAP + HuBERT)
||
*
||
*
|-

2026-01-05

2026-01-05T10:34:35Z

Zhanghc：

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

|-
|Dong Wang
||

||
*
||
*
|-

|-
|Lantian Li
||

||
*
||
*
|-

|-
|Ying Shi
||

||
*
||
*
|-

|-

|Junming Yuan
||

||
*
||
*
|-

|-
|Pengqi Li
||

||
*
||
*
|-

|-
|Xiaolou Li
||

||
*
||
*
|-

|-
|Tianhao Wang
||

||
*
||
*
|-

|-
|Xiaoxue Luo
||

||
*
||
*
|-

|-
|Junhui Chen
||

||

||
*
|-

|-
|Jiaying Wang
||
* spk order separation training
||
*
||
*
|-

|-
|Yu Zhang
||

||

||
*
|-

|-
|Wenqiang Du
||
* Check AI course PPT(4/14)
* Completed AI100 question task and will be uploaded to the platform this month
||
||
*
|-

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

|-
|Yue Gu
||
* write Phd defense slides
||
*
||
*
|-

|-
|Lily
||
||
*
||
*
|-

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

|-
|Hongcheng Zhang
||
finish code of ASU-LLM
||
*
||
*
|-

2025-12-29

2025-12-29T10:39:19Z

Zhanghc：

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

|-
|Dong Wang
||
* All the textbook for primary and middle schools done
* English version of Middle school handbook almost done (reference needed)
||
*
||
*
|-

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

|-
|Ying Shi
||
* Thesis
* Huawei project
||
*
||
*
|-

|-
|Zhenghai You
||
* IRA TSE with SSL[https://z1et6d3xtb.feishu.cn/docx/S0XgdZD5bo3HK8xhnx6coPYknUf]
||
* training in noisy enroll & Improve the fusion method & Trying more SSL models
||
*
|-

|-
|Junming Yuan
||
* Aug-MT-HuBERT exp(in training)
* write journal paper(4/7)
||
*
||
*
|-

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

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

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

|-
|Tianhao Wang
||
* supplemental experiments for ChainSep
** ablation study for iterative separation (only use text)
** finding some better samples for visualization
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* 2-mix experiment of attractor-based SS(Done)
* 2-5mix USS model for Huawei project(in training)
||
*
||
*
|-

|-
|Junhui Chen
||
* LLM
** discuss the reversal experiment results with @ZhangYu
** code for swarm metrics analysis (needs further discussion)
* study for final exam
||
* study for final exam
||
*
|-

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

|-
|Yu Zhang
||
* GPU Util: https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh
* LLM Reverse curse:
** Direct put answer into context: High ECS, Low PKS
** Reversal logic in context: High ECS, High PKS
* study for final exam...
||
* study for final exam...
||
*
|-

|-
|Wenqiang Du
||
* Recording high school AI courses and make related ppt(10/14)
||
*
||
*
|-

|-
|Yang Wei
||
* MD fine-tune experiment on AISHELL2 + UY/CH-CHILD (cross validation) [https://z1et6d3xtb.feishu.cn/docx/Woz0dFwsaoWZuOxZ2KGcm9MxnKe?from=from_copylink]
||
*
||
*
|-

|-
|Yue Gu
||
* reading some papers about the passive acoustic monitoring（PAM）to understand the current research status and future prospects of this field.
* writing my Phd thesis
||
*
||
*
|-

|-
|Lily
||
*
||
*
||
*
|-

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

|-
|Hongcheng Zhang
||
* study for final exam
* read some papers
||
*
||
*
|-

2025-12-22

2025-12-22T10:10:29Z

Zhanghc：

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

|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
* 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.
||
* MLA book final check.
||
*
|-

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

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

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

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

|-
|Zehua Liu
||
*Iterative Decoding Exp for graduation thesis
||
*
||
*
|-

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

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

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

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

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

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

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

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

|-
|Yue Gu
||
*
||
*
||
*
|-

|-
|Lily
||
* AIGE Annual Forum（December 19th）
* ICASSP author respond
* Thesis
||
*
||
*
|-

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

|-
|Hongcheng Zhang
||
* did research for ASU-LLM tasks
||
*
||
*
|-

2025-12-22

2025-12-22T10:07:28Z

Zhanghc：

2025-12-15

2025-12-15T10:03:21Z

Zhanghc：

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

|-
|Dong Wang
||
*
||
*
||
*
|-

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

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

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

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

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

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

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

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

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

|-
|Junhui Chen
||
* HUAWEI gradio demo (4/5)
* Integrate the current metric collection code into GPTSwarm (80%)
||
*
||
*
|-

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

|-
|Yu Zhang
||
* GPU Util: https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh?from=from_copylink
* LLM: Latent learning simple reverse exp code (90%, lack for metric analysis code and Oracle Retrieval Code)
||
*
||
*
|-

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

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

|-
|Yue Gu
||
*
||
*
||
*
|-

|-
|Lily
||
* Check AI handbook (初二下册，高一下册)
* AIGE Annual Forum（December 19th）
||
*
||
*
|-

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

|-
|Hongcheng Zhang
||
* construct code for ASU-LLM（10%）
||
*
||
*
|-