Muquan Liπ Phd Student
University of Electronic Science and Technology of China (UESTC)
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Biography
I am currently a 3th-year PhD Student of Software Engineering (SE), University of Electronic Science and Technology of Chinaβ (UESTC), under the supervision of Prof. Guangchun Luo. I am a bachlor-straight-to-doctorate student. I obtained my B.Eng in Electrical and Electronic Engineering (EEE) in UESTC.
My research interests lie in VLA, Efficient AI and Knowledge Distillation.
Feel free to contact me by email if you are interested in discussing or collaborating with me.
News
- [6/2026] One paper is accepted by IEEE Transactions on Multimedia (TMM) !
- [4/2026] One paper is accepted by ICML 2026 (Oral 0.7%) !
- [2/2026] One paper is accepted by CVPR 2026 !
- [2/2026] One paper is accepted by IEEE Transactions on Industrial Informatics (TII) !
- [9/2025] One paper is accepted by NeurIPS 2025 !
- [02/2025] One paper is accepted by AAAI 2025 !
- [10/2024] One paper is accepted by MM 2024 !
- [09/2023] Joined Laboratory of Intelligent Collaborative Computing in UESTC towards the PhD degree !
- [06/2023] Graduated from University of Electronic Science and Technology of China (UESTC) !
Education & Visiting
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University of Electronic Science and Technology of China (UESTC) Laboratory of Intelligent Collaborative Computing (State Key Laboratory, SKL) PhD Student in Software Engineering (SE) Advisor: Prof. Guangchun Luo Sep. 2023 - Future
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University of Electronic Science and Technology of China (UESTC) Bachelor of Engineering in Electrical and Electronic Engineering (EEE) Sep. 2019 - Jun. 2023
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Selected Publications | Full List
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Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust? Muquan Li, Yingyi Ma, Yihong Huang, Hang Gou, Ke Qin, Ming Li, Yuan-Fang Li, Tao He International Conference on Machine Learning (ICML), Oral (0.7%), 2026[paper] |
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Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation Muquan Li, Hang Gou, Yingyi Ma, Rongzheng Wang, Ke Qin, Tao He IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026[paper] |
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Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation Muquan Li, Hang Gou, Dongyang Zhang, Shuang Liang, Xiurui Xie, Deqiang Ouyang, Ke Qin Conference on Neural Information Processing Systems (NeurIPS), 2025[paper] |
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Adaptive Dataset Quantization Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin Annual AAAI Conference on Artificial Intelligence (AAAI), 2025[paper] |
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Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation Muquan Li, Dongyang Zhang, Tao He, Xiurui Xie, Yuan-Fang Li, Ke Qin ACM International Conference on Multimedia (ACM MM), 2024[paper] |
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Every Style Helps: Boosting Data-free Knowledge Distillation by Style Disentanglement Transfer Muquan Li, Yingyi Ma, Dongyang Zhang, Yi Bin, Ke Qin, Guangchun Luo IEEE Transactions on Multimedia (TMM), 2026[paper] |
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Efficient Industrial Dataset Distillation with Textual Trajectory Matching Muquan Li, Qian Dong, Dongyang Zhang, Ke Qin, Guangchun Luo IEEE Transactions on Industrial Informatics (TII), 2026[paper] |
Honors & Awards
| [12/2021] National First Prize in National Undergraduate Electronic Design Contest (Texas Instruments Cup 2021) (<2%) |
Professional Services
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Reviewers:
Computer Vision and Pattern Recognition (CVPR)
European Conference on Computer Vision (ECCV)
Conference and Workshop on Neural Information Processing Systems (NeurIPS)
International Conference on Machine Learning (ICML)
AAAI Conference on Artificial Intelligence (AAAI)
ACM International Conference on Multimedia (ACM MM)