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

Apr 205

Our paper ‘Flow Matching based Sequential Recommender Model’ got accepted by IJCAI’25. Congratulations!

Apr 205

Our paper ‘DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation’ got accepted by IJCAI’25. Congratulations to Maolin Wang and Tianshuo Wei!

Apr 205

Our paper ‘Data Augmentation on Graphs: A Technical Survey’ got accepted by CSUR. Congratulations to Jiajun Zhou!

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