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

Sep 2025

Our paper ‘Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning’ got accepted by NeurIPS’25. Congratulations to Wenlin Zhang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang and Derong Xu!

Sep 2025

Our paper ‘GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization’ got accepted by NeurIPS’25. Congratulations to Pengyue Jia!

Sep 2025

Our paper ‘UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces’ got accepted by NeurIPS’25. Congratulations to Yuanshao Zhu!

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