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

Feb 2026

Our paper ‘AEGI: Anchor Event Guided Inference for TKGQA’ got accepted by PAKDD’26. Congratulations to Yuqing Fu, Yimin Deng, and Yejing Wang!

Jan 2026

Derong Xu was awarded the Peter Ho Conference Scholarships. Congratulations!

Jan 2026

Our paper ‘SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor Factorization’ got accepted by ICLR’26. Congratulations to Maolin Wang, Zhiqi Li, Binhao Wang, Xuhui Chen, and Tianshuo Wei!

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