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

Mar 2025

Our paper ‘Tensor-Enhanced Adaptive Low-Rank Fine-tuning’ got accepted for oral presentation by ICDE 2025 PhD Symposium Track. Congratulations to Maolin Wang!

Feb 2025

Our paper ‘Uniform Graph Pre-training and Prompting for Transferable Recommendation’ got accepted by TOIS. Congratulations!

Feb 2025

Our paper ‘Dual Test-time Training for Out-of-distribution Recommender System’ got accepted by TKDE. Congratulations!

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