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

Oct 2025

Our workshop ‘Workshop on the Next-Generation Recommender Systems and LLMs’ got accepted by WSDM 2026. Congratulations to Fei Sun, Haoxuan Li, Jian Wu, Julian McAuley, Ji Liu, Junwei Pan, Jiakai Tang, Lina Yao, Lexing Xie, Xiangyu Zhao, and Yeqiu Yang!

Oct 2025

Our PhD student Wenlin Zhang received the NeurIPS 2025 Student Travel Award. Congratulations to Wenlin Zhang!

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!

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