Binwu Wang

Orcid: 0000-0002-4638-0382

According to our database1, Binwu Wang authored at least 27 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data.
IEEE Trans. Veh. Technol., January, 2025

2024
Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning.
IEEE Trans. Mob. Comput., December, 2024

Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., October, 2024

Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.
IEEE Trans. Mob. Comput., May, 2024

Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction.
IEEE Trans. Veh. Technol., January, 2024

FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration.
CoRR, 2024

ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution.
CoRR, 2024

Meta Koopman decomposition for time series forecasting under temporal distribution shifts.
Adv. Eng. Informatics, 2024

When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification.
Proceedings of the ACM on Web Conference 2024, 2024

STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2024

Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Knowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs.
IEEE Trans. Intell. Transp. Syst., 2023

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective.
CoRR, 2023

Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Knowledge-Driven Memory System for Traffic Flow Prediction.
Proceedings of the Database Systems for Advanced Applications, 2023

Long-Tailed Time Series Classification via Feature Space Rebalancing.
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.
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.
Proceedings of the IEEE International Conference on Data Mining, 2022

2020
The Impact of Urban Renewal on Land Surface Temperature Changes: A Case Study in the Main City of Guangzhou, China.
Remote. Sens., 2020

Analysis on the Spatio-Temporal Characteristics of Urban Expansion and the Complex Driving Mechanism: Taking the Pearl River Delta Urban Agglomeration as a Case.
Complex., 2020


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