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
Aug 2026
Our paper ‘From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space’ got accepted by CIKM’26. Congratulations to Pengyue Jia, Yingyi Zhang, Xiaopeng Li, and Yejing Wang!
Aug 2026
Our paper ‘Behavior-Equivalent Token: Single-Token Replacement for Long Prompts in LLMs’ got accepted by CIKM’26. Congratulations to Jiancheng Dong, Pengyue Jia, Jingyu Peng, Maolin Wang, and Yuhao Wang!
Aug 2026
Our paper ‘M2DNA: Multi-Modal Dual-Stream Representation Learning with Joint Relational Modeling for DNA Sequence Clustering’ got accepted by CIKM’26. Congratulations to Bowen Liu, Pengyue Jia, Wanyu Wang, Maolin Wang, and Xiao Han!