基本信息
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Career Trajectory
Bio
His main research work lies in artificial intelligence (AI) and machine learning. Notably, it focuses on adaptive control (reinforcement learning, Markov decision process), multi-objective optimization (compromise programming, fair optimization), and preference handling (representation, elicitation, and learning).
His teaching interests at Duke Kunshan include AI, machine learning, algorithms.
Before joining academia, he was a financial quantitative analyst in London, UK. As a researcher, he regularly publishes in top AI and machine learning venues (e.g., IJCAI, AAAI, ICML…). He has served as an area chair at AAAI and ECAI. Several of his papers received a best paper award (e.g., MIWAI, ALA). His work has been funded both by public funding agencies (NSFC, Shanghai NSF) and private companies (Yahoo, Huawei, Netease).
His teaching interests at Duke Kunshan include AI, machine learning, algorithms.
Before joining academia, he was a financial quantitative analyst in London, UK. As a researcher, he regularly publishes in top AI and machine learning venues (e.g., IJCAI, AAAI, ICML…). He has served as an area chair at AAAI and ECAI. Several of his papers received a best paper award (e.g., MIWAI, ALA). His work has been funded both by public funding agencies (NSFC, Shanghai NSF) and private companies (Yahoo, Huawei, Netease).
Research Interests
Papers共 101 篇Author StatisticsCo-AuthorSimilar Experts
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arxiv(2024)
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SN Computer Scienceno. 4 (2024): 1-20
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CoRR (2023)
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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT IV (2023): 556-572
LIONpp.537-551, (2023)
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