Dr. Chun Wang
Assistant Professor Ph.D./Master’s Supervisor
Email：chunwang@cityu.edu.mo
Tel：(853)85902284
Office address: Room T406, Tai Fung Building, City University of Macau (Taipa)
Educational qualifications
2021 Doctor of Philosophy in Artificial Intelligence, University of Technology Sydney, Australia
2014 Bachelor of Software Engineering, Zhejiang University, China
Incumbent
Assistant Professor, Faculty of Data Science, City University of Macau
Courses taught
Artificial Intelligence Neural Network, Introduction to Data Science, Database System, Design Computing Studio 1&2
Research direction
Graph neural network, Anomaly detection based on graph structure, Adversarial network, Cluster analysis, etc.
Research and Publishing
Duan, Z., Wang, C., & Zhong, W. (2024). SSGCL: Simple Social Recommendation with Graph Contrastive Learning. Mathematics, 12(7), 1107.
Li, K., Wang, C., Feng, X., & Wu, S. (2024). Blockchain Interoperability in Data Exchange Logistics Integration. Mathematics, 12(10), 1516.
Wang, C., Pan, S., Celina, P. Y., Hu, R., Long, G., & Zhang, C. (2022). Deep neighbor-aware embedding for node clustering in attributed graphs. Pattern Recognition, 122, 108230.
Wang, C., Han, B., Pan, S., Jiang, J., Niu, G., & Long, G. (2020, November). Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure, In 2020 IEEE International Conference on Data Mining (ICDM) (pp. 571-580). IEEE.
Wang, C., Pan, S., Hu, R., Long, G., Jiang, J., & Zhang, C. (2019, August). Attributed Graph Clustering: A Deep Attentional Embedding Approach. In International Joint Conference on Artificial Intelligence.
Wang, C., Pan, S., Long, G., Zhu, X., & Jiang, J. (2017, November). Mgae: Marginalized graph autoencoder for graph clustering. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (pp. 889-898).
Scientific research project experience
Macau Science and Technology Development Fund (FDCT) Project: Cross-modal fast image and text retrieval based on deep hashing technology (Project No.: 0004/2023/ITP1), Participation, 2023/11-2025/08
