About me

Welcome! I am a machine learning and reinforcement learning researcher who strives to solve difficult problems in AGI field. I am also an affiliated researcher with the Machine Learning and Data Intensive Computing Lab.

Currently I am a PhD candidate in Computer Science from the Rochester Institute of Technology and my B.E. in Software Engineering from Dalian University of Technology. My academic work has been published or is forthcoming in ICDM, KDD, ICML, Neurips, MICCAI, ACM MM, among other outlets. This research tries to solve RL online interaction unavailability under safety or economic concerns by using a broad variety of methods such as offline learning, inverse RL, distributional RL, meta learning and active learning. While primarily focused on small dataset novel algorithm development, I am also enthusiastic in applying RL technique to real-world problems in CV, NLP, recommender system, medicine, etc.