Presenter

Jiawen Zheng is a Ph.D. student at the Hong Kong University of Science and Technology (Guangzhou). He received his B.Eng. from Beihang University in 2024. His research focuses on multimodal machine learning, with recent interests extending to reinforcement learning, particularly in game-playing settings. He is especially interested in how deep learning can be used to build agents that learn, adapt, and compete effectively in interactive environments. More broadly, he is motivated by the study of intelligent systems that bridge perception, decision-making, and action, and he approaches both research and games with strong curiosity and rigor.