💫 About Me
Hi there!👋
Welcome to the homepage of Yushu Li (李昱澍)! I am a third-year master’s student at the Geometric Perception and Intelligence Research Lab (Gorilla Lab), South China University of Technology (SCUT), where I am supervised by Prof. Kui Jia, co-supervised by Dr. Xun Xu (A*STAR). Previously, I was a visiting student at the Institute for Infocomm Research (I2R) under the Agency for Science, Technology and Research (A*STAR), Singapore, where I was also supervised by Dr. Xun Xu and Dr. Xulei Yang. I completed my B.Eng. at the School of Electronic and Information Engineering, SCUT, in June 2022.
My research focuses on Test-Time Training/Adaptation, Vision-Language Models, and Efficient Tuning. I am always open to collaborations with researchers and engineers. If you’re interested in my work or have any inquiries, feel free to reach out via email at yushuliysl@gmail.com or eeyushuli@mail.scut.edu.cn.
🗎 A short CV can be found here.
🌟 I am actively looking for a Ph.D. position starting from Fall 2025. If you are interested in my profile, please feel free to reach out to me.
🔥 News
- 2024.12: 🥳 Our work on Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection is accepted by Transactions on Machine Learning Research (TMLR).
- 2024.12: ✨ Our new preprint titled Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model is now available online.
- 2024.12: 🎉 I am serving as a reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
- 2024.12: 🎉 I will be serving as a reviewer for ICML 2025.
- 2024.10: ✨ Our new preprint titled On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning is now available online.
- 2024.09: ⛵️ I am joining the Shanghai Artificial Intelligence Laboratory for research intern in Shanghai, China.
- 2024.09: 🎓 I have completed my SIPGA program at I2R, A*STAR, Singapore.
- 2024.08：🎉 I will be serving as a reviewer for ICLR 2025.
- 2024.05: ✨ New preprint on Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection is available on arXiv.
- 2024.03: ⛵️ Starting my visiting student program “Singapore Inernational Pre-graduate Award (SIPGA)” at I2R, A*STAR, Singapore.
- 2023.07: 🥳 Our work on On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion is accepted by ICCV 2023 as Oral presentation (1.8% acceptance rate).
📝 Publications
💥Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection
Yushu Li*, Yongyi Su*, Xulei Yang, Kui Jia, Xun Xu
Transactions on Machine Learning Research (TMLR), 2024.
💥Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu
Preprint, 2024.
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu
Preprint, 2024.
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
Yushu Li, Xun Xu, Yongyi Su and Kui Jia
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
(Oral presentation 1.8% acceptance rate)
Dynamic Shuffle: An Efficient Channel Mixture Method
Kaijun Gong, Zhuowen Yin, Yushu Li, Kailing Guo, Xiangmin Xu
Preprint, 2023.
💻 Internships
- 2024.09 - Present, Research Intern, Shanghai Artificial Intelligence Laboratory, Shanghai, China. Mentor: Dr. Peng Gao.
- 2024.03 - 2024.09, Visiting Student, Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore. Mentor: Dr. Xun Xu and Dr. Xulei Yang.
- 2023.07 - 2024.02, DexForce Technology, Research Intern. Mentor: Prof. Kui Jia.
🎖 Honors and Awards
- First-class Scholarship of South China University of Technology (2020) (Top 4%)
- Second-class Scholarship of South China University of Technology (2019, 2021) (Top 10%)
🎓 Educations
- 2022.09 - 2025.06, M.Eng. in Information and Communication Engineering, South China University of Technology (SCUT), China
- 2018.09 - 2022.06, B.Eng. in Information Engineering, Chu Kochen Honors College, South China University of Technology (SCUT), China
📖 Academic Service
- Conference Reviewer: ACM MM 2024, NeurIPS 2024, ICLR 2025, ICML 2025
- Journal Reviewer: TIP, TPAMI
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