Yudong Zhang

31 papers A* 12A 1Misc 5Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Stabilizing Rubric Integration Training via Decoupled Advantage Normalization.
CoRR
Zelin Tan, Zhouliang Yu, Bohan Lin, Zijie Geng, Hejia Geng, Yudong Zhang, Mulei Zhang, Yang Chen, Shuyue Hu, Zhenfei Yin, Chen Zhang, Lei Bai
2025 A* conf
COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation.
ICLR
Yudong Zhang, Xuan Yu, Xu Wang, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang
2025 J jnl
Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data.
IEEE Trans. Veh. Technol.
Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Yang Wang
2025 A* conf
DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis.
ICDE
Yudong Zhang, Xu Wang, Xuan Yu, Zhengyang Zhou, Xing Xu, Lei Bai, Yang Wang
2025 A* conf
Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting.
AAAI
Yudong Zhang, Xu Wang, Xuan Yu, Zhaoyang Sun, Kai Wang, Yang Wang
2025 Misc conf
Embedding Enhanced MLP Enables Simple and Extensible Spatiotemporal Forecasting.
ICASSP
Ziyan Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Yang Wang
2025 — conf
FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning.
WWW (Companion Volume)
Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang
2025 J jnl
MobiMixer: A Multi-Scale Spatiotemporal Mixing Model for Mobile Traffic Prediction.
IEEE Trans. Mob. Comput.
Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Yudong Zhang, Xu Wang, Yang Wang
2025 A* conf
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework.
IJCAI
Yudong Zhang, Zhaoyang Sun, Xu Wang, Xuan Yu, Kai Wang, Yang Wang
2025 Misc conf
Time-Space-Interlaced Spatiotemporal Graph Forecasting via Two-Stage Summarized Attention.
ICASSP
Zhaoyang Sun, Yudong Zhang, Xuan Yu, Kai Wang, Binwu Wang, Yang Wang, Xu Wang
2024 A* conf
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks.
AAAI
Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang
2024 J jnl
Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst.
Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai, Yang Wang
2024 J jnl
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.
IEEE Trans. Pattern Anal. Mach. Intell.
Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang
2024 J jnl
Face Anti-Spoofing with Unknown Attacks: A Comprehensive Feature Extraction and Representation Perspective.
J. Comput. Sci. Technol.
Li-Min Li, Binwu Wang, Xu Wang, Pengkun Wang, Yudong Zhang, Yang Wang
2024 Misc conf
Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification.
ICASSP
Xu Wang, Pengfei Gu, Yudong Zhang, Binwu Wang, Pengkun Wang, Yang Wang
2024 Misc conf
Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints.
ICASSP
Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Binwu Wang, Yang Wang
2024 A* conf
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning.
ICLR
Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang
2024 J jnl
Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction.
IEEE Trans. Veh. Technol.
Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang, Zhengyang Zhou, Lei Bai, Yang Wang
2024 J jnl
Meta Koopman decomposition for time series forecasting under temporal distribution shifts.
Adv. Eng. Informatics
Yudong Zhang, Xu Wang, Zhaoyang Sun, Pengkun Wang, Binwu Wang, Limin Li, Yang Wang
2024 J jnl
Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning.
IEEE Trans. Mob. Comput.
Yudong Zhang, Xu Wang, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Yang Wang
2024 A* conf
STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts.
KDD
Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang
2024 A* conf
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.
AAAI
Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang
2023 — conf
A Knowledge-Driven Memory System for Traffic Flow Prediction.
DASFAA (4)
Binwu Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang
2023 A* conf
An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series.
KDD
Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang
2023 J jnl
Knowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs.
IEEE Trans. Intell. Transp. Syst.
Binwu Wang, Yudong Zhang, Jiahao Shi, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang
2023 — conf
Long-Tailed Time Series Classification via Feature Space Rebalancing.
DASFAA (1)
Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang
2023 A* conf
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.
KDD
Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang
2023 A* conf
Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction.
KDD
Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang
2023 Misc conf
Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection.
ICASSP
Yudong Zhang, Wei Lu, Xu Wang, Pengkun Wang, Yang Wang
2022 A conf
CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction.
WSDM
Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang
2022 A* conf
Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion.
ICDM
Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang