Chongming Gao (高崇铭) is currently a doctoral candidate in the Lab for Data Science at the University of Science and Technology of China (USTC), under the mentorship of Xiangnan He. His key research interests encompass data mining, information retrieval, and artificial intelligence. Specifically, he concentrates on utilizing reinforcement learning to investigate a diverse set of problems, including spatio-temporal data analysis and the design of recommender systems. For his most recent updates and work, please visit https://chongminggao.me.

Interests
  • Recommender System
  • Reinforcement Learning
  • Policy Optimization
Education
  • PhD in Artificial Intelligence, 2020

    University of Science and Technology of China (USTC)

  • M.Eng. in Computer Science and Technology., 2016

    University of Electronic Science and Technology of China (UESTC)

  • B.Eng. in Computer Science and Technology., 2012

    University of Electronic Science and Technology of China (UESTC)

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