Lee Wee Sun

Lee Wee Sun is a professor in the Department of Computer Science at the National University of Singapore. He holds a B.Eng. in Computer Systems Engineering from the University of Queensland (1992) and a Ph.D. from the Australian National University (1996). His research interests include machine learning, planning under uncertainty, and approximate inference. He has held various leadership roles at NUS, including Head of the Department of Computer Science and Vice Dean of Undergraduate Studies and Research. His work has received several awards, including the IJCAI-JAIR Best Paper Prize 2022 and the Test of Time Award at Robotics: Science and Systems (RSS) 2021. He has also served as an area chair for major conferences such as NeurIPS, ICML, AAAI, and IJCAI.

Wee Sun Lee is a Professor in the Department of Computer Science at the National University of Singapore, specializing in Machine Learning and Planning Under Uncertainty. His research focuses on developing algorithms for efficient decision-making in uncertain environments, particularly through probabilistic reasoning and reinforcement learning. He has contributed significantly to the fields of POMDP (Partially Observable Markov Decision Process) planning, with works such as SARSOP and DESPOT. His publications also explore text classification, sentiment analysis, and the integration of large language models into task planning. His work emphasizes the intersection of machine learning and robotics, aiming to enhance autonomy in complex scenarios.