Yudong Zhang

According to our database, Yudong Zhang authored at least 22 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data.

Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Yang Wang

IEEE Trans. Veh. Technol., January, 2025

2024

Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning.

Yudong Zhang, Xu Wang, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Yang Wang

IEEE Trans. Mob. Comput., December, 2024

Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.

Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai, Yang Wang

IEEE Trans. Intell. Transp. Syst., October, 2024

Face Anti-Spoofing with Unknown Attacks: A Comprehensive Feature Extraction and Representation Perspective.

Li-Min Li, Bin-Wu Wang, Xu Wang, Pengkun Wang, Yudong Zhang, Yang Wang

J. Comput. Sci. Technol., July, 2024

Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.

Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction.

Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang, Zhengyang Zhou, Lei Bai, Yang Wang

IEEE Trans. Veh. Technol., January, 2024

Meta Koopman decomposition for time series forecasting under temporal distribution shifts.

Yudong Zhang, Xu Wang, Zhaoyang Sun, Pengkun Wang, Binwu Wang, Limin Li, Yang Wang

Adv. Eng. Informatics, 2024

STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts.

Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning.

Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints.

Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Binwu Wang, Yang Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification.

Xu Wang, Pengfei Gu, Yudong Zhang, Binwu Wang, Pengkun Wang, Yang Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks.

Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.

Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Knowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs.

Binwu Wang, Yudong Zhang, Jiahao Shi, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang

IEEE Trans. Intell. Transp. Syst., 2023

Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.

Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series.

Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction.

Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection.

Yudong Zhang, Wei Lu, Xu Wang, Pengkun Wang, Yang Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

A Knowledge-Driven Memory System for Traffic Flow Prediction.

Binwu Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang

Proceedings of the Database Systems for Advanced Applications, 2023

Long-Tailed Time Series Classification via Feature Space Rebalancing.

Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction.

Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion.

Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang

Proceedings of the IEEE International Conference on Data Mining, 2022