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
Jan 2026
Our paper ‘To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention’ got accepted by WWW’26. Congratulations to Wenlin Zhang, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, and Maolin Wang!
Jan 2026
Our paper ‘BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations’ got accepted by WWW’26. Congratulations to Xiaopeng Li, Jingtong Gao, Pengyue Jia, and Xiao Han!
Jan 2026
Our paper ‘Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning’ got accepted by WWW’26. Congratulations to Huidong Wu, Haojia Xiang, and Jingtong Gao!