Chengyi LIU

Chengyi LIU is currently a PhD student at the Department of Computing (COMP), The Hong Kong Polytechnic University (PolyU), under the supervision of Prof. Qing LI and Dr. Wenqi Fan. He received his Master’s degree in Health Data Science from the University College London (UCL) in 2022. From 2017 to 2021, he studied at the University of Nottingham Ningbo China (UNNC) to achieve a Bachelor of Science degree in Computer Science with Artificial Intelligence (in the first class).

Email: chengyi.liu@connect.polyu.hk, liuchengyiaaa1@gmail.com

Research Interests

• Graph Neural Networks (GNNs)

• Diffusion model

• Recommender Systems

News

2025

10/2025: One paper (“[Continuous-time Discrete-space Diffusion Modelfor Recommendation]”) gets accepted by ACM International Conference on Web Search and Data Mining (WSDM) 2025.

08/2025: The paper (“Score-based Generative Diffusion Models for Social Recommendations”) has been accepted by IEEE Transactions on Knowledge and Data Engineering.

01/2025: The new preprint (“Graph Defense Diffusion Model”) is online.

2024

12/2024: The new preprint (“Score-based Generative Diffusion Models for Social Recommendations”) is online.

2023

04/2023: The survey paper (“Generative Diffusion Models on Graphs: Methods and Applications”) get accepted by IJCAI 2023.

02/2023: The new preprint “Generative Diffusion Models on Graphs: Methods and Applications” is online.