National Scholarship for Ph.D. Students, USTC (2025). Published papers: 'Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning' (CVPR 2025, Oral, 3.3% of all accepted papers) and 'PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation' (NeurIPS 2025).
Research Experience
Research Intern at Beijing Academy of Artificial Intelligence & GALBOT (Jul. 2023 - Aug. 2024), working closely with Prof. He Wang.
Education
Ph.D. student at the School of Information Science and Technology, University of Science and Technology of China (USTC) (Sep. 2021 - Jun. 2026), supervised by Prof. Zheng-Jun Zha and Prof. Xueyang Fu; B.E. in Automation from the Special Class for the Gifted Young, Chien-Shiung Wu College, Southeast University (SEU) (Sep. 2017 - Jun. 2021).
Background
Research interests include Machine Learning, Domain Generalization, Test-time Adaptation, and Continual Learning. During the internship, research focuses on Embodied AI, including Embodied Navigation, Vision-Language-Action Models, and Multimodal Large Models.
Miscellany
Actively looking for postdoctoral opportunities. Can be contacted via email.