About Me

• I’m fortunate to work with Prof. Mengyu Wang as a Postdoctoral Research Fellow at the Harvard AI and Robotics Lab.
• I obtained my Ph.D. degree in Computer Science from University of Minnesota, where I was luckily advised by Prof. Qi Zhao.
• I had the opportunity to to work with Dr. Yongkang Wong and Prof. Mohan S. Kankanhalli at National University of Singapore.

Research Interests

My research focuses on responsible AI that is robust, fair, and trustworthy, with an emphasis on building models whose behaviors are interpretable, controllable, and reliable under distribution shift and high-stakes deployment. A central theme of my research is the development of principled model architectures and evaluation protocols that disentangle generalizable problem-solving from data- and knowledge-driven shortcuts, thereby promoting safe, robust, and maintainable adaptation without sacrificing performance.

Academic Services

• Reviewer: CVPR 2019, ICCV 2019, AAAI 2020, CVPR 2020, ECCV 2020, NeurIPS 2020, WACV 2021, AAAI 2021, CVPR 2021, ICML 2021, ICCV 2021, NeurIPS 2021, WACV 2022, AAAI 2022, CVPR 2022, ICLR 2022, ICML 2022, ECCV 2022, NeurIPS 2022, ACCV 2022, WACV 2023, ICLR 2023, CVPR 2023, ICCV 2023, NeurIPS 2023, ICLR 2024, CVPR 2024, ICML 2024, ECCV 2024, NeurIPS 2024, ICLR 2025, ICML 2025, ICCV 2025, NeurIPS 2025, AAAI 2025, ICLR 2026, CVPR 2026, ICML 2026, ECCV 2026