[1] [ICLR 2025] Yudong Zhang, Xuan Yu, Xu Wang*, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang*, COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation, The Thirteenth International Conference on Learning Representations. (机器学习领域顶级会议，清华大学计算机学科群A类会议)

[2] [AAAI 2025] Yudong Zhang, Xu Wang*, Xuan Yu, Zhaoyang Sun, Kai Wang, Yang Wang*, Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting, The 39th Annual AAAI Conference on Artificial Intelligence. (CCF-A类会议，口头报告 (Oral Presentation))

[3] [IJCAI 2025] Yudong Zhang, Zhaoyang Sun, Xu Wang*, Xuan Yu, Kai Wang, Yang Wang*, Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework, The 34th International Joint Conference on Artificial Intelligence. (CCF-A类会议)

[4] [ICDE 2025] Yudong Zhang, Xu Wang*, Xuan Yu, Zhengyang Zhou, Xing Xu, Lei Bai, Yang Wang*, DiffODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis, The 41st IEEE International Conference on Data Engineering. (CCF-A类会议)

[5] [IEEE TMC] Yudong Zhang, Xu Wang*, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Yang Wang*, Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning, IEEE Transactions on Mobile Computing, 2024, 23(12): 15289-15306. (CCF-A类期刊，中科院1区Top)

[6] [ICASSP 2025] Zhaoyang Sun, Yudong Zhang*, Xuan Yu, Kai Wang, Binwu Wang, Yang Wang*, Xu Wang, Time-Space-Interlaced Spatiotemporal Graph Forecasting via Two-Stage Summarized Attention, The 50th IEEE International Conference on Acoustics, Speech, and Signal Processing. (CCF-B类会议，通讯作者)

[7] [WWW 2025] Yudong Zhang, Xu Wang*, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang*, FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning, The ACM Web Conference 2025 (short paper, formerly known as the International World Wide Web Conference).

[8] [WWW 2025] Yudong Zhang, Xu Wang*, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang*, Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture, The ACM Web Conference 2025 (short paper, formerly known as the International World Wide Web Conference).

[9] [IEEE TITS] Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai*, Yang Wang*, Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting, IEEE Transactions on Intelligent Transportation Systems, 2024, 25(10): 14070-14086. (CCF-B类期刊，中科院2区Top)

[10] [AEI] Yudong Zhang, Xu Wang*, Zhaoyang Sun, Pengkun Wang, Binwu Wang, Limin Li, Yang Wang*, Meta Koopman decomposition for time series forecasting under temporal distribution shifts, Advanced Engineering Informatics, 2024, 62: 102840. (CCF-B类期刊，中科院1区Top)

[11] [ICASSP 2023] Yudong Zhang, Wei Lu, Xu Wang, Pengkun Wang*, Yang Wang*, Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection, The 48th IEEE International Conference on Acoustics, Speech, and Signal Processing. (CCF-B类会议)

[12] [WSDM 2022] Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou*, Yang Wang*, CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction, The 15th ACM International Conference on Web Search and Data Mining. (CCF-B类会议，清华大学计算机学科群A类会议)