- Publications: ICCV 2025, Communications Biology, IROS 2025, Small, IEEE Transactions on Image Processing, ICLR 2025 (Oral, acceptance rate 1.8%), NeurIPS 2024, IEEE Transactions on Cybernetics, Physical Chemistry Chemical Physics (PCCP HOT Articles), npj Computational Materials, AAAI 2024, etc.
- Awards: Brookhaven’s Top 10 Discoveries of 2024, Department of Energy (DOE) NNSA Joule Award (2022, 2020), 2017’s Top-10 Discoveries and Scientific Achievements at Brookhaven National Laboratory, Outstanding Graduate Researcher of the CSE Department, University of South Carolina (2016), Best 10% Paper Award, International Conference on Image Processing (2015)
Research Experience
- Senior Computational Scientist at Brookhaven National Laboratory
- Research Associate Professor at Stony Brook University
- Major funding sources: DOE ASCR, NNSA, SciDAC, BER, BES, and internal ones
Education
- Ph.D. from University of South Carolina
- M.S. from Chongqing University, China
- B.S. from Sichuan University, China
Background
- Research Interests: AI for Science, Large (multimodal) foundation model, Domain adaptation/generalization, Computer vision techniques applied in large scale scientific data analysis
- Position: Senior Computational Scientist at Brookhaven National Laboratory, Lead of Foundation Model Group
- Affiliation: Research Associate Professor at Stony Brook University
Miscellany
- Personal Interests: Liverpool FC, You'll never walk alone!