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
Oct 2026
Our paper ‘Structure-Coupled Generative Graph Condensation’ got accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE). Congratulations to Huidong Wu and Maolin Wang!
Oct 2026
Our paper ‘Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog Systems’ got accepted by ACM Transactions on Information Systems (TOIS). Congratulations to Haokun Wen!
Oct 2026
Our paper ‘Self-Evolving Agentic Workflows via Semantic Decomposition of Complex Tasks’ got accepted as a Spotlight at the IAB workshop at NeurIPS’26 (Competition Track). Congratulations to Zichuan Fu, Junjia Qi, Wenlin Zhang, Yimin Deng, and Kaifeng Guo!