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

Sep 2026

Our paper ‘Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies’ got accepted by NeurIPS’26. Congratulations to Yi Wen, Derong Xu, Pengyue Jia, Yingyi Zhang, Junyi Li, Wenlin Zhang, and Xiaopeng Li!

Sep 2026

Our paper ‘TrajEvolve: Trajectory Evolution for Reinforcement Learning with Hindsight Credit Assignment’ got accepted by NeurIPS’26. Congratulations to Yi Wen, Pengyue Jia, Derong Xu, Yingyi Zhang, and Wenlin Zhang!

Sep 2026

Our paper ‘GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization’ got accepted by NeurIPS’26. Congratulations to Pengyue Jia, Derong Xu, Yingyi Zhang, Xiaopeng Li, Wenlin Zhang, Yi Wen, and Yuanshao Zhu!

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