Dr. Changlu Chen

Assistant Professor Master Supervisor

Email: clchen@cityu.edu.mo

Tel: (853)85902372

Office address: Room S504, Stanley Ho Building, City University of Macau (Taipa)

Academic Qualifications

2024 Doctor of Philosophy in Computer Science, University of Technology Sydney, Australia
2020 Master in Computer Science, Lanzhou University, Lanzhou, China
2017 Bachelor in Computer Science, Lanzhou University, Lanzhou, China

Research Interests

Spatial-Temporal Forecasting

Traffic Forecasting

Time Series Analysis

Data Mining

Deep Learning, etc.

Research & Publications

• Niu, C.*, Qiao, H*., Chen, C., Chen, L., & Pang, G. (2024). Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. In Proceedings of the 34th International Joint Conference on Artificial Intelligence. (CCF-A)
• Chen, C., Liu, Y., Chen, L., & Zhang, C. (2024). Test-Time Training for Spatial-Temporal Forecasting. In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) (pp. 463-471). Society for Industrial and Applied Mathematics. (CCF B)
• Chen, C., Liu, Y., Chen, L., & Zhang, C. (2024, August). Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 72-88). Cham: Springer Nature Switzerland. (CCF B)
• Chen, C., Liu, Y., Chen, L., & Zhang, C. (2022). Bidirectional spatial-temporal adaptive transformer for urban traffic flow forecasting. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 6913-6925. (CCF B IF= 14.25)
• Chen, C., Liu, Y., Chen, L., & Zhang, C. (2023, May). RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 263-275). Cham: Springer Nature Switzerland. (CCF C)
• Zhan, K., Niu, C., Chen, C., Nie, F., Zhang, C., & Yang, Y. (2018). Graph structure fusion for multiview clustering. IEEE Transactions on Knowledge and Data Engineering, 31(10), 1984-1993. (CCF A)
• Chen, C., Niu, C., Zhan, X., & Zhan, K. (2019). Generative approach to unsupervised deep local learning. Journal of Electronic Imaging, 28(4), 043005-043005.