Understand complex worlds
Learn transferable representations of complex, evolving environments across scales and domains.
Hao Liu
I am an Associate Professor in the Artificial Intelligence Thrust at The Hong Kong University of Science and Technology (Guangzhou), and an affiliated faculty member at HKUST. Before joining HKUST(GZ), I was a Research Scientist at Baidu Research.
Building agentic systems for complex digital and physical worlds.
My recent interest spans agentic data science, scientific discovery, and decision-making in dynamic real-world systems.
Make grounded decisions
Reason with evidence, tools, collaborators, and physical constraints to act reliably in real-world environments.
Learn through interaction
Improve analytical and scientific workflows through execution feedback, reusable skills, and accumulated experience.
Recent updates
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Call for papers: the Frontiers of AI and Data Science Competitions special issue in Frontiers of Computer Science is now open for submissions.
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New papers at KDD 2026 on autonomous data science, travel agents, extreme-weather forecasting, and flood forecasting.
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New work at ICLR 2026 and The Web Conference 2026 on multimodal scientific discovery, cooperative urban agents, and spatiotemporal reasoning.
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Three papers were accepted to NeurIPS 2025, exploring agentic scientific discovery, mathematical modeling agents, and test-time reasoning.
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LLMLight received the KDD 2025 Audience Appreciation Award.
Join us
Work with us.
Postdoc and PhD students
Postdoctoral / Research Associate positions are available. Prospective Ph.D. students whose interests align with our research are also welcome. Please email your CV and representative work to liuh@ust.hk.
RBM students
Please apply directly through the HKUST(GZ) Online Admission System. After receiving an offer, you are welcome to contact me to discuss research fit; joining the group as an RA before making a final decision is encouraged. Please read the Guidelines & Expectations.
RAs, interns, and visiting students
We welcome applications year-round from students who can commit for at least six months. We provide a stipend, computing resources, and close research mentorship. Please email your CV, availability, and a brief description of your research interests to liuh@ust.hk.