Gongyou Xu (许恭友)

About

I am a Research Fellow at Beijing Normal–Hong Kong Baptist University (BNBU). My work lies at the intersection of graph learning, recommender systems, multimodal representation learning, and efficient AI systems.

I have contributed to peer-reviewed and under-review research while also developing real-world systems for vessel safety, indoor positioning, knowledge services, document intelligence, and distributed LLM inference. I am interested in methods that are technically rigorous, reproducible, and useful in practice.

My current research interests include:

• Graph machine learning and graph condensation.
• Sequential recommendation and efficient learning objectives.
• Multimodal representation learning and neural topic modeling.
• Efficient and distributed large language model inference.

Email / CV