Zhaomin Wu 吴肇敏
Department of Computer Science
Hong Kong Baptist University
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 focuses on federated learning across data silos and multi-agent systems that bridge 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.
We are hiring!
OpeningsI am recruiting Postdocs, Ph.D. Students, and Research Assistants to join and shape my new research group onsite at HKBU.
Research Directions
Explore publicationsBridging divides across data, models, and people to solve real-world problems.
Bridge data silos
Federated Learning
Learning across private, heterogeneous data without sharing it.
Effective learning
Efficient learning
Unlearning & privacy
Bridge models
Multi-Agent Systems
Understanding and reusing model capabilities for safe collaboration.
Model indexing
Model connection & reuse
Safety
Bridge AI & people
AI + X
Using AI to study human behavior—and psychology to understand AI agents.
Psychology
Finance
Recent News
One paper accepted to the GenAI4Health Workshop @ NeurIPS 2026 for Oral Presentation.
- Jiayi Li, Zhaomin Wu, and Bingsheng He. LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialogues
One paper accepted to NeurIPS 2026.
- Zhaomin Wu, Jiayi Li, and Bingsheng He. EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimation
I received the Best Poster Presenter Award at NUS AI Research Day 2026.
Our work, LLM DNA: Tracing Model Evolution via Functional Representations, was one of four award-winning posters among 80 presentations. See the official programme (page 12).
Two papers accepted to EMNLP 2026 Findings.
- Haodong Zhao, Jidong Li, Zhaomin Wu†, Tianjie Ju, Zhuosheng Zhang, Bingsheng He, Gongshen Liu†. Reasoning or Rambling? Exploring the Effect of Thinking on Agent Persuasion
- Qian Wang, Zhongyi Tong, Nuo Chen, Zhaomin Wu, Bingsheng He. CrossAlpha: An Annual-Report Benchmark for Cross-Market Factor Research
Invited talk: “Managing Data and Model Silos for Real-World AI Systems” at Hong Kong Baptist University.
I received the ICML 2026 Gold Reviewer Award (top 25% of reviewers).
Invited talk: “When Data and Models Stay Hidden: Toward Trustworthy AI Collaboration” at Université de Montréal (UdeM) and Mila.
I received the Google Cloud Research Credit Award to support my research.
I received the NRF Postdoctoral Award to support my research on AI-powered psychological counselling systems.
One paper accepted to ICDE 2026.
- Zhaomin Wu*, Ziyang Wang*, Bingsheng He. WikiDBGraph: A Data Management Benchmark Suite for Collaborative Learning over Database Silos
Selected Honors
- 2026 Singapore NRF Postdoctoral AwardHighly selective national award in Singapore
- 2026 Two ICLR Oral PresentationsTop ~1% of 19,525 submissions
- 2025 Best Research Staff AwardNUS Institute of Data Science (2/∼50).
- 2024 Honorable Mention for Best Ph.D. Thesis AwardTop ~3% (5 of ~150)
- 2023 SIGMOD Honorable Mention for Best ArtifactOne of only 3 artifacts recognized
- 2023 Dean's Graduate Research Excellence AwardTop ~7% (10 of ~150)