Paper 'Long-Tailed Continual Learning For Visual Food Recognition' accepted to IEEE Transactions on Multimedia; 'CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning' accepted to CVPR 2025; 'Gradient Reweighting: Towards Imbalanced Class-Incremental Learning' accepted to CVPR 2024; Released MetaFood3D dataset; Received Top-5 Postdoctoral Mentoring Award from Purdue University; Recognized as an Outstanding Reviewer for CVPR 2024; Co-chaired the MetaFood Workshop at CVPR 2024 and CVPR 2025.
Research Experience
Postdoctoral Associate at MIT, working with Dr. Hermano Igo Krebs on Smart Rehabilitation Robotics; Adjunct Professor in the Department of Electrical and Computer Engineering at Purdue University.
Education
Ph.D. in Electrical and Computer Engineering from Purdue University, advised by Prof. Fengqing Maggie Zhu and Prof. Edward Delp; Bachelor's degree from the University of Electronic Science and Technology of China, Chengdu.
Background
Currently a tenure-track Assistant Professor in the Department of Computer Science at Indiana University Bloomington. Research interests include continual learning, long-tail learning, and AI for healthcare.
Miscellany
Welcomes anyone interested in collaborating or discussing research, whether remotely or in person. Seeking highly motivated Ph.D. students for Fall 2026. Please email your CV and indicate whether you are applying for 2026Fall or the Research Intern.