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

May 2025

Our paper ‘Training-free LLM Merging for Multi-task Learning’ got accepted by ACL’25. Congratulations to Zichuan Fu, Yejing Wang!

May 2025

Our paper ‘LLMs Trust Humans More, That’s a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation’ got accepted by ACL’25. Congratulations!

May 2025

Our paper ‘A Multi-Expert Structural Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs’ got accepted by ACL’25. Congratulations to Yimin Deng, Yejing Wang, Qidong Liu, Derong Xu, Zichuan Fu!

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