💫 About Me
Hi there!👋
Welcome to Yushu Li (李昱澍)’s homepage! I am a second-year Master student at the Geometric Perception and Intelligence Research Lab (Gorilla Lab), School of Electronic and Information Engineering, South China University of Technology (SCUT), supervised by Prof. Kui Jia and Dr. Xun Xu. I am also a visiting student at the Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore, under the supervision of Dr. Xun Xu. Prior to that, I received my B.Eng. from the School of Electronic and Information Engineering, SCUT in June 2022.
My current research interests include test-time adaptation, open-set recognition, and domain adaptation.
I am always looking for opportunities to collaborate with researchers and engineers. If you are interested in my research or have any questions, please feel free to contact me via email:
yushuliysl@gmail.com or eeyushuli@mail.scut.edu.cn.
🌟 I am actively looking for an intern opportunity from now, and also a Ph.D. position starting from Fall 2025. If you are interested in my profile, please feel free to reach out to me.
🔥 News
- 2024.05: ✨ 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 was 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
arXiv preprint arXiv:2405.18911, 2024.
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The first work to explore human-in-the-loop by synergizing active learning and model selection for test-time adaptation.
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A novel TTA model selection method preventing from overfitting to a small validation set and local distribution.
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A novel test-time selection strategy for active learning to select the most informative samples for human annotation.
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)
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A new TTT protocol: open-world test-time training (OWTTT).
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A new TTT method for OWTTT: self-training with dynamic prototype expansion.
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A new TTT benchmark: evaluating TTT. methods under open-world settings
Dynamic Shuffle: An Efficient Channel Mixture Method
Kaijun Gong, Zhuowen Yin, Yushu Li, Kailing Guo, Xiangmin Xu
arXiv preprint arXiv:2310.02776.
- A novel method for efficient channel mixture to improve the performance of group convolution.
🎖 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
- Journal Reviewer: IEEE Transactions on Image Processing
💻 Internships
- 2024.03 - Present, Visiting Student, Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore. Mentor: Dr. Xun Xu.
- 2023.07 - 2024.02, DexForce Technology, Research Intern. Mentor: Prof. Kui Jia.
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