Welcome to the AML Lab
Applied Machine Learning Lab (AML Lab) is a dynamic research group at the Department of Data Science in City University of Hong Kong. Our aim is to explore new methods and applications of Machine Learning and Data Mining, including
- Personalization, Recommender System, Search Engine, Online Advertising, and Information Retrieval
- Large Language Model, AGI, AutoML, Reinforcement Learning, Trustworthy AI, and Multimodal ML
- AI + X: Healthcare, Urban Computing & Smart City, Science, and Education
We are looking for passionate new Postdocs, PhD students, and Master students to join the team (more info) !
Funding and Institutional Support
News
May 2026
Our paper ‘TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework’ got accepted by TOIS. Congratulations to Chao Zhang, Yuhao Wang, Derong Xu, and Shuochen Liu!
May 2026
Our tutorial ‘Tutorial on Generative Recommendation: Foundations and Frontiers’ got accepted by KDD’26. Congratulations to Xiaopeng Li, Yejing Wang, Wenlin Zhang, Ziwei Liu, Sheng Zhang, and Binhao Wang!
Apr 2026
Our paper ‘T-GINEE: A Tensor-Based Multi-Graph Representation Learning’ got accepted by ICML’26. Congratulations to Maolin Wang, Xuhui Chen, Tianshuo Wei, and Wenlin Zhang!