| 2026 | AAAI | MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting. | Binqing Wu, Weiqi Chen, Shiyu Liu, Zongjiang Shang, Haiou Wang, Liang Sun, Ling Chen |
| 2026 | AAAI | AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting. | Binqing Wu, Zongjiang Shang, Shiyu Liu, Jianlong Huang, Jiahui Xu, Ling Chen |
| 2025 | CIKM | ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting. | Binqing Wu, Jianlong Huang, Zongjiang Shang, Ling Chen |
| 2025 | CIKM | MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting. | Binqing Wu, Zongjiang Shang, Jianlong Huang, Ling Chen |
| 2025 | KDD | Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. | Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun |
| 2024 | IJCAI | 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 |
| 2023 | CIKM | Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. | Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim |