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, Online Advertising, Search Engine, and Information Retrieval
  • Urban Computing, Smart City, GeoAI, Spatio-Temporal Data Analysis, and Location-Based Social Networks
  • Large Language Model, Reinforcement Learning, AutoML, AGI, Graph Learning, Trustworthy AI, and Multimodal ML
  • AI + X: Education, Healthcare, Carbon Neutral, Social Computing, E-commerce, Finance, and Ecosystem

We are looking for passionate new Postdocs, PhD students, and Master students to join the team (more info) !

Funding and Institutional Support

News

Aug 2025

Our paper ‘Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics’ got accepted by ICDM’25. Congratulations!

Aug 2025

Our paper ‘Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems’ got accepted by ICDM’25. Congratulations!

Aug 2025

Our paper ‘Prompt Tuning as User Inherent Profile Inference Machine’ got accepted by CIKM’25(Applied Research Track). Congratulations to Yusheng Lu!

... see all News