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

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!

Apr 2026

Our paper ‘Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization’ got accepted by ICML’26 as Spotlight. Congratulations to Yingyi Zhang, Wenlin Zhang, Sheng Zhang, and Xiao Han!

Apr 2026

Our paper ‘Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective’ got accepted by ICML’26. Congratulations!

... see all News