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

Nov 2025

Two of our members are selected as volunteers for AAAI’26 (Student Scholarship & Volunteer Program). Congratulations to Yingyi Zhang and Dayan Pan!

Nov 2025

Our paper ‘Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing’ got accepted by KDD’26 (Benchmark Track). Congratulations to Wenlin Zhang, Qiyuan Ge, Pengyue Jia, Xiaopeng Li, Zijian Zhang and Maolin Wang!

Nov 2025

Our paper ‘Enhancing Clinical Documentation with Voice Processing and Large Language Models: A Study on the LAOS System’ got accepted by npj Digital Medicine (SCI Q1 Top, IF 15.1). Congratulations to Maolin Wang!

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