Binqing Wu

According to our database, Binqing Wu authored at least 15 papers between 2021 and 2025.

Collaborative distances:

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

2025

MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting.

Binqing Wu, Zongjiang Shang, Jianlong Huang, Ling Chen

CoRR, September, 2025

ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting.

Binqing Wu, Jianlong Huang, Zongjiang Shang, Ling Chen

CoRR, September, 2025

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting.

Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun

CoRR, May, 2025

2024

Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting.

Ling Chen, Jiahui Xu, Binqing Wu, Jianlong Huang

ACM Trans. Knowl. Discov. Data, April, 2024

Deep Citywide Multisource Data Fusion-Based Air Quality Estimation.

Ling Chen, Hanyu Long, Jiahui Xu, Binqing Wu, Hang Zhou, Xing Tang, Liangying Peng

IEEE Trans. Cybern., January, 2024

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting.

Zongjiang Shang, Ling Chen, Binqing Wu, Dongliang Cui

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction.

Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting.

Ling Chen, Donghui Chen, Zongjiang Shang, Binqing Wu, Cen Zheng, Bo Wen, Wei Zhang

IEEE Trans. Knowl. Data Eng., October, 2023

DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling.

Pengwei Liu, Wenwei Wang, Bingqing Peng, Binqing Wu, Liang Sun

CoRR, 2023

WeatherGNN: Exploiting Complicated Relationships in Numerical Weather Prediction Bias Correction.

Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen

CoRR, 2023

DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting.

Binqing Wu, Ling Chen

CoRR, 2023

Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting.

Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting.

Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim

CoRR, 2022

2021

Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting.

Ling Chen, Weiqi Chen, Binqing Wu, Youdong Zhang, Bo Wen, Chenghu Yang

CoRR, 2021

Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting.

Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng Li, Yongjun Zhang

CoRR, 2021