Hsu-Chao Lai
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Research

My research focuses on mining and learning from interactions and dynamics, including how people influence one another, navigate conflicting preferences, and make decisions together. I develop methods using machine learning, graph representation learning, generative models, and reinforcement learning. Applications include, but are not limited to, online communities, group recommendation, team sports, healthcare, and dynamic markets.
A virtual-reality group shopping scene

Group Recommendation

Reconciling diverse preferences for decisions made together.

Group RecommendationPreference ConflictMulti-Feedback LearningSocial Computing
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Interactions among streamers and viewers on a live-streaming platform

Social Influence in Networks

Understanding how people shape one another's behavior online.

Social NetworksUser InteractionLive StreamingCo-evolution
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Tactical movement analysis in doubles badminton

Team Sports Intelligence

Revealing team dynamics and tactics through movement data.

Team DynamicsTactical AnalysisMovement PredictionSports Analytics
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Human-centered AI supporting healthcare and long-term care decisions

Intelligent Decision Support

Combining professional knowledge with real-world human needs.

Healthcare AIHuman-Centered AIDecision SupportEfficient Learning
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Adaptive learning and decision-making in dynamic markets

Learning in Dynamic Markets

Learning adaptive strategies for advertising auctions and financial markets.

Reinforcement LearningReal-Time BiddingPairs TradingMarket Dynamics
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© 2026 Hsu-Chao Lai. This work is licensed under CC BY NC ND 4.0

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