💫 About Me
Hi there!👋
Welcome to the homepage of Yushu Li (李昱澍)!
I am a first-year Ph.D. student in Electrical and Computer Engineering at the University of British Columbia (UBC), where I am a member of the Trusted and Efficient AI (TEA) Lab, advised by Prof. Xiaoxiao Li.
Previously, I obtained my M.Eng. in Information and Communication Engineering from the South China University of Technology (SCUT), supervised by Prof. Kui Jia and co-supervised by Dr. Xun Xu. I was also a visiting student at the Institute for Infocomm Research (I2R), A*STAR, Singapore, working with Dr. Xun Xu and Dr. Xulei Yang. I received my B.Eng. from the School of Electronic and Information Engineering, SCUT.
My research spans Natural Language Processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), and Test-Time Adaptation (TTA). I am open to collaboration with researchers and engineers across academia and industry.
📫 Feel free to reach out: yushul@student.ubc.ca
🗎 My resume can be found here.
🔥 News
- 2025.09: 🏅 Awarded the Four Year Fellowship at UBC.
- 2025.09: ⛵️ in the Trusted and Efficient AI (TEA) Lab, UBC.
- 2025.07: 🎉 One papers have been accepted at ICCV 2025, congratulations to Tiankai!
- 2025.01: 🥳 Two papers have been accepted at ICLR 2025.
- 2025.01: 🎉 I am serving as a reviewer for ICME 2025 and TMLR.
- 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
💥Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
Tiankai Chen, Yushu Li, Adam Goodge, Tianrui Li, Fei Teng, Xulei Yang, Xun Xu
IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
💥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
International Conference on Learning Representations (ICLR), 2025.
💥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
International Conference on Learning Representations (ICLR), 2025.
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.
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
- 2024.03 - 2024.09, Visiting Student, Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore. Mentor: Drs. Xun Xu and Xulei Yang.
- 2023.07 - 2024.02, DexForce Technology, Research Intern. Mentor: Prof. Kui Jia.
🎖 Honors and Awards
- Four Year Fellowship, The University of British Columbia (2025-2029)
- University-level Scholarship, South China University of Technology (2019-2025)
🎓 Educations
- 2025.09 - now, Ph.D. in Electrical and Computer Engineering (ECE), The University of British Columbia (UBC), Canada
- 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, South China University of Technology (SCUT), China
📖 Academic Service
- Conference Reviewer: ACM MM, NeurIPS, ICLR, ICML, ICME
- Journal Reviewer: TIP, TMLR, TPAMI
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