Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. - Ling Chen 001; Jiahui Xu; Binqing Wu; Yuntao Qian; Zhenhong Du; Yansheng Li 001; Yongjun Zhang 002 (CoRR, 2021)

Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting. - Ling Chen 001; Weiqi Chen; Binqing Wu; Youdong Zhang; Bo Wen; Chenghu Yang (CoRR, 2021)

Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting. - Juyong Jiang; Binqing Wu; Ling Chen 001; Sunghun Kim 001 (CoRR, 2022)

Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. - Juyong Jiang; Binqing Wu; Ling Chen 001; Kai Zhang 038; Sunghun Kim 001 (CIKM, 2023)

DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting. - Binqing Wu; Ling Chen (CoRR, 2023)

WeatherGNN: Exploiting Complicated Relationships in Numerical Weather Prediction Bias Correction. - Binqing Wu; Weiqi Chen; Wengwei Wang; Bingqing Peng; Liang Sun 001; Ling Chen 001 (CoRR, 2023)

DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling. - Pengwei Liu; Wenwei Wang; Bingqing Peng; Binqing Wu; Liang Sun 001 (CoRR, 2023)

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting. - Ling Chen 001; Donghui Chen; Zongjiang Shang; Binqing Wu; Cen Zheng; Bo Wen; Wei Zhang (IEEE Trans. Knowl. Data Eng., 2023)

WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction. - Binqing Wu; Weiqi Chen; Wengwei Wang; Bingqing Peng; Liang Sun 001; Ling Chen 001 (IJCAI, 2024)

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting. - Zongjiang Shang; Ling Chen 001; Binqing Wu; Dongliang Cui (NeurIPS, 2024)

Deep Citywide Multisource Data Fusion-Based Air Quality Estimation. - Ling Chen 001; Hanyu Long; Jiahui Xu; Binqing Wu; Hang Zhou; Xing Tang 006; Liangying Peng (IEEE Trans. Cybern., 2024)

Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. - Ling Chen 001; Jiahui Xu; Binqing Wu; Jianlong Huang (ACM Trans. Knowl. Discov. Data, 2024)

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. - Yingtao Luo; Shikai Fang; Binqing Wu; Qingsong Wen; Liang Sun 001 (CoRR, 2025)