I joined the Department of Computer Science at Hong Kong Baptist University as an Assistant Professor in April 2026.
Previously, I was a Postdoc supported by the RGC Junior Research Fellow Scheme in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. I completed my Ph.D., supported by the Hong Kong PhD Fellowship Scheme, at HKUST starting in September 2020, under the supervision of Professor Yangqiu Song. I also visited Professor Jeff Pan at the University of Edinburgh. I completed a dual degree program at HKUST, earning a BEng in Computer Science and a BBA in General Business Management.
I completed two Applied Scientist summer internships at Amazon Search (previously known as A9) in Palo Alto, California, under the supervision of Dr. Chen Luo. Our work focused on exploring applications of reasoning over structured knowledge.
🔬 Research Focus
My research focuses on three complementary directions toward building reliable and capable AI systems (see selected publications):
🧠 Neural Graph Databases
I study the next generation of graph data systems that combine database functionality with neural reasoning. My work explores the key challenges of Agentic Neural Graph Databases, benchmarks realistic neural graph data management with NGDBench, improves scalable training through NGDB-Zoo, and investigates federated and privacy-preserving NGDBs.
🌍 World Models & Agentic Simulation
I develop world models and agentic simulation methods that enable agents to understand environment dynamics and plan effectively. This includes inducing executable world models from offline trajectories with PatchWorld, extending code-based world models to visual control with VisualPatchWorld, and learning plan-aware latent representations with Temporal-Distance-JEPA.
🏗️ Knowledge Graph Construction, Reasoning & Applications
I continue to work across the traditional knowledge graph pipeline: constructing graphs and inducing schemas from raw data (AutoSchemaKG; AutoGraph-R1), developing methods for complex logical and abductive reasoning (Query2Particles; SQE; AbductiveKGR), and applying structured knowledge to retrieval, language models, and real-world domains.
🎤 Invited Talks
Building Knowledge Graphs: From Rich Semantics to Autonomous and Task-Aware Construction — Home Depot, April 2026. [talk] [slides]
From Knowledge Graphs to Neural Graph Databases: Data, Algorithms, and Applications — SIGKG Seminar Series, University of Edinburgh, February 2026. [talk] [slides]
Advancements in Knowledge Graph Reasoning: Innovative Approaches to Complex Logical Query Answering and Logical Hypothesis Generation — Keynote, 2nd Workshop on LLMs for E-Commerce at KDD 2025. [talk] [slides]
🏆 Honors & Awards
- 🎯 RGC Junior Research Fellow Scheme (2025) • Hong Kong Research Grants Council
- 🎓 Hong Kong PhD Fellowship (2020) • University Grants Committee
🎯 Academic Services
- Area Chair: ACL Rolling Review (ARR), 2025–2026, including ACL, EMNLP, and NAACL cycles
- Reviewer & Program Committee: KDD (2021, 2023–2025), ACL (2023), EMNLP (2021–2022), NLPCC (2023), JAIR, TKDE, and ARR
Interested in collaboration? Feel free to reach out for research opportunities, academic discussions, or potential partnerships.