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| 第145行： |
第145行： |
| | |Jiaying Wang | | |Jiaying Wang |
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| − | * | + | * thesis modification |
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| 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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- AIbabel
- Deployment funasr-nano
- find the reason for the low KWS ACC(current threshold setting 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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| Yang Wei
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- Audio separation stream inference. (sliding window; in progress)[1]
- Support MDPI rebuttal.
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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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| 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 [2]
- 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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- GongAn vts
- problem: stoi is difficult to satisfy and test dataset size they want is too large.
- result: cnvsrc-multi is added to train vts, stoi metric becomes better, but it's not good enough.
- solution: more data is used to train vts(CN-CVS+CN-CVS2-P1+CN-CV3)
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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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