Baoxiang Wang

Visiting Researcher

Baoxiang Wang is an assistant professor at School of Data Science, The Chinese University of Hong Kong, Shenzhen. Baoxiang works on the broad area of reinforcement learning and online learning, with some recent focus on game theoretic settings in online learning. Baoxiang obtained their Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong in 2020 under Siu On Chan and Andrej Bogdanov, and before their B.E. in Information Security from Shanghai Jiao Tong University in 2014. Baoxiang publishes works in machine learning conferences like ICML, NeurIPS, ICLR, and theory venues like ITCS.

Research Interests

  • Reinforcement learning and online learning