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, Online Advertising, Search Engine, and Information Retrieval
- Urban Computing, Smart City, GeoAI, Spatio-Temporal Data Analysis, and Location-Based Social Networks
- Large Language Model, Reinforcement Learning, AutoML, AGI, Graph Learning, Trustworthy AI, and Multimodal ML
- AI + X: Education, Healthcare, Carbon Neutral, Social Computing, E-commerce, Finance, and Ecosystem
We are looking for passionate new Postdocs, PhD students, and Master students to join the team (more info) !
Funding and Institutional Support
News
Aug 2025
Our paper ‘ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph’ got accepted by CIKM’ 25(Resource Paper Track). Congratulations to Langming Liu and Yuhao Wang!
Aug 2025
Our paper ‘Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation’ got accepted by CIKM’ 25. Congratulations to Yingyi Zhang!
Aug 2025
Our paper ‘SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems’ got accepted by CIKM’ 25. Congratulations to Pengyue Jia, Xiaopeng Li, Yuhao Wang, and Qidong Liu!