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
Apr 2026
Our paper ‘LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training’ got accepted by SIGIR’26. Congratulations to Ziwei Liu, Qidong Liu, Yejing Wang, and Pengyue Jia!
Apr 2026
Our paper ‘GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks’ got accepted by SIGIR’26. Congratulations to Yejing Wang, Qidong Liu, Xinhang Li, and Wenlin Zhang!
Apr 2026
Our paper ‘ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory’ got accepted by SIGIR’26. Congratulations to Derong Xu, Yanxin Chen, Pengyue Jia, Chao Zhang, and Maolin Wang!