Three papers accepted to ACL 2026

AutoSchemaKG, AutoGraph R1, and multimodal abductive reasoning—three angles on building and using knowledge for language models.

From Knowledge Graphs to Neural Graph Databases: Data, Algorithms, and Applications

Talk on how we move from symbolic knowledge graphs to neural graph databases, and what this means for data, algorithms, and real-world applications.

[ICLR'26] Taming the Wild Hypothesis: Introducing Controllable Abductive Reasoning in Knowledge Graphs

[WWW'26] Unifying Logic Reasoning in Knowledge Graphs with Diffusion Models

🚀 New Paper Alert! Excited to introduce DARK: Unifying Deductive & Abductive Reasoning in Knowledge Graphs with Masked Diffusion Models! 🧠🔗

Token Efficient RAG

Making High-Performance Graph RAG Affordable and Scalable

Joining HKBU in 2026 & Recruiting PhD Students for Fall 2026

I am joining HKBU's Department of Computer Science as an Assistant Professor in 2026 and am actively recruiting 1-2 PhD students for Fall 2026 in NLP, Knowledge Graphs, and AI Agents.

[ICLR'26] AtlasKV: Teaching a Language Model a Billion Facts, Without Breaking the Memory Bank