Xinrui-Zhang
Education
- 2018.09-2022.06 Bachelor, Southeast University, software engineering, Nanjing
- 2022.09-2024.03 Master, Southeast University, computer science and technology ,Nanjing
- 2024.03-2027.12(expected) PhD, Southeast University, software engineering, Nanjing
Publications
CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity
Xia, K., Lin, L., Zhang, Q., Zhang, X., & Wang, S., Hu X. & Yu P (2026, August). CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity. In Proceedings of the 32st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2026.
M2DP: A Multi-Scale Association Learning Framework for Multi-Category Demand Prediction under Public Health Emergencies
Zhang, X., Lin, L., Xia, K., Feng Y., Zhang, Q. & Wang, S. (2026, May). M2DP: A Multi-Scale Association Learning Framework for Multi-Category Demand Prediction under Public Health Emergencies. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2026.
ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation
Lin, L., Zhang, X., Zhang, Q., Wang, S. &Xia, K. (2026, January). ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation. In Proceedings of the AAAI Conference on Artificial Intelligence. 2026.
A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction
Xia, K., Lin, L., Zhang, X., Wang, H., Wang, S., & He, T. (2025, August). A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2 (pp. 5071-5082).
PATR: Periodicity-Aware Trajectory Recovery for Express System via Seq2Seq Model
Zhang, X., Liang, X., Wang, H., Wang, S., & He, T. (2022, December). PATR: Periodicity-Aware Trajectory Recovery for Express System via Seq2Seq Model. In GLOBECOM 2022-2022 IEEE Global Communications Conference (pp. 486-491). IEEE.
Multi-scale Temporal Feature Fusion for Time-Limited Order Prediction
Wang, J., Zhou, X., Liu, Y., Zhang, X., & Wang, S. (2022, November). Multi-scale Temporal Feature Fusion for Time-Limited Order Prediction. In China Conference on Wireless Sensor Networks (pp. 132-144). Singapore: Springer Nature Singapore.