Published multiple papers including but not limited to: 'Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models' (CVPR 2025), 'Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization' (ICLR 2025), etc.
Research Experience
Microsoft GenAI (2024.05-2024.08), Research Intern, Mentors: Zhengyuan Yang, Lijuan Wang; Microsoft Research & Azure (2023.05-2023.08), Research Intern, Mentors: Jiang Wang, Zicheng Liu.
Education
B.S. from School of Automation and Electrical Engineering, Beihang University in 2019; PhD candidate at Purdue University, advised by Prof. Qiang Qiu.
Background
Research Interests: Machine Learning and Computer Vision. Currently a 4th year PhD student in the Elmore Family School of Electrical and Computer Engineering at Purdue University.