- 'Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation' accepted by WWW 2020 as an oral presentation
- 'Offline Reinforcement Learning via Trajectory Synthesis' accepted by NeurIPS 2019 Deep RL workshop
- 'Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation' accepted by KDD 2019 as an oral presentation
- Published multiple papers in journals such as Journal of Alzheimer's Disease, Medical Image Analysis, etc.
Research Experience
- Senior Staff Manager, Didi AI Labs, May 2017 - Present
- Software Engineer Intern, Amazon Web Services, May 2016 - Aug 2016
- Machine Learning Researcher, Intel Corporation, Jan 2015 - Aug 2015
- Research Associate, Arizona State University, Aug 2012 - Apr 2017
Education
- Degree: Ph.D.
- University: Arizona State University
- Advisor: Prof. Jieping Ye
- Duration: Aug 2012 - Apr 2017
- Major: Computer Science
- Degree: B.E.
- University: Beihang University
- Duration: Sep 2008 - Jun 2012
- Major: Computer Science and Engineering
Background
- Research Interests: Machine Learning and Data Mining
- Position: Senior Manager at Didi AI Labs
- Biography: Received Ph.D. in Computer Science from Arizona State University, supervised by Prof. Jieping Ye. Currently a senior staff engineering manager at Didi Research America.