Zhaomin Wu 吴肇敏

I will join Hong Kong Baptist University (HKBU) as a tenure-track Assistant Professor in January 2027. I am a Research Fellow at the National University of Singapore (NUS) and a recipient of the Singapore NRF Postdoctoral Award (2026). I received my Ph.D. in Computer Science from NUS in 2024, advised by Bingsheng He, and my B.Eng. from Huazhong University of Science and Technology in 2019. My work has appeared at leading venues in machine learning, databases, and data mining, such as NeurIPS, ICLR, SIGMOD, KDD, and ACL. I serve as an Area Chair (AC) for premier machine learning conferences such as ICLR.

My research connects fragmented knowledge to solve real-world problems. I use benchmarking to identify practical challenges, then design methods, algorithms, and systems to address them and deploy the solutions in practice. This approach underpins my work on federated learning across data silos and multi-agent systems that connect knowledge distributed across models. I see future AI agents as individuals whose behavior and social interactions deserve study. I aim to use psychology to understand agents and their communities, and in turn use agents to advance psychology and social science research.