About Me

• I am a Ph.D. student in the Computer Science Department at Stanford University, advised by Prof. Stefano Ermon. [Google Scholar Profile]
• My research interests lie in the general area of machine learning, particularly in deep learning, reinforcement learning and probabilistic inference, as well as their applications in generative modeling, sequential decision making under uncertainty, multi-task and meta-learning, and multi-agent systems.
• I received my Bachelor’s Degree in Shanghai Jiao Tong University. My undergraduate research advisors are Prof. Yong Yu, Prof. Weinan Zhang and Prof. Jun Wang.

Academic Services

• Conference Reviewer: AAAI 2019, AAAI 2020, ICML 2020 (top reviewer award), NeurIPS 2020, AAAI 2021, ICLR 2021, AISTATS 2021, ICRA 2021, ICML 2021, NeurIPS 2021, ICLR 2022, AISTATS 2022, AAAI 2022, ICML 2022, NeurIPS 2022, ICLR 2023, AAAI 2023, AISTATS 2023.
• Journal Reviewer: Journal of Artificial Intelligence Research (JAIR), IEEE Robotics and Automation Letters (RA-L), Journal of Machine Learning Research (JMLR), Machine Learning - Springer, Transactions of Machine Learning Research (TMLR).