- First-author paper about efficient reasoning model accepted to NeurIPS 2025
- First-author paper about efficient visual auto-regressive modeling accepted to CVPR 2025
- First-author paper about distributed acceleration of diffusion model accepted to NeurIPS 2024
- First-author paper about SAM compression accepted to NeurIPS 2024
- First-author paper about learnable ISP accepted to IJCAI 2024
Research Experience
- Ph.D. student at xML Lab
Education
- Master's degree in Electrical Engineering from National University of Singapore
- Bachelor’s degree in Communication Engineering from Soochow University
Background
A first-year Ph.D. student at the xML Lab, National University of Singapore, advised by Professor Xinchao Wang. Research interests focus on Efficient Generative AI, including model compression, model acceleration, distributed computing, diffusion models, large language models, multimodal models, and low-level vision tasks such as computational photography and super-resolution.
Miscellany
Served as a reviewer for multiple top international conferences, including CVPR, ICCV, ICML, NeurIPS, and ICLR