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

Feb 2026

Our paper ‘TORepair: Diffusion-based Task-Oriented Error Repair via Differentiable Bi-Level Optimization’ got accepted by ICDE’26. Congratulations to Wei Ni!

Feb 2026

Our paper ‘When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance’ got accepted by CVPR’26. Congratulations!

Feb 2026

Our paper ‘Democratic Recommendation with User and Item Representatives Produced by Graph Condensation’ got accepted by TKDE. Congratulations!

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