Binqing Wu - RankMe

24 papers A* 4A 3Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting. AAAI Binqing Wu, Zongjiang Shang, Shiyu Liu, Jianlong Huang, Jiahui Xu, Ling Chen
2026	J	`jnl`	AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting. CoRR Binqing Wu, Zongjiang Shang, Shiyu Liu, Jianlong Huang, Jiahui Xu, Ling Chen
2026	A*	`conf`	MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting. AAAI Binqing Wu, Weiqi Chen, Shiyu Liu, Zongjiang Shang, Haiou Wang, Liang Sun, Ling Chen
2026	J	`jnl`	Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis. CoRR Zongjiang Shang, Dongliang Cui, Binqing Wu, Ling Chen
2025	A	`conf`	MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting. CIKM Binqing Wu, Zongjiang Shang, Jianlong Huang, Ling Chen
2025	J	`jnl`	MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting. CoRR Binqing Wu, Zongjiang Shang, Jianlong Huang, Ling Chen
2025	—	`conf`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. KDD (2) Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025	J	`jnl`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. CoRR Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025	A	`conf`	ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting. CIKM Binqing Wu, Jianlong Huang, Zongjiang Shang, Ling Chen
2025	J	`jnl`	ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting. CoRR Binqing Wu, Jianlong Huang, Zongjiang Shang, Ling Chen
2024	A*	`conf`	Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting. NeurIPS Zongjiang Shang, Ling Chen, Binqing Wu, Dongliang Cui
2024	J	`jnl`	Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting. CoRR Zongjiang Shang, Ling Chen, Binqing Wu, Dongliang Cui
2024	J	`jnl`	Deep Citywide Multisource Data Fusion-Based Air Quality Estimation. IEEE Trans. Cybern. Ling Chen, Hanyu Long, Jiahui Xu, Binqing Wu, Hang Zhou, Xing Tang, Liangying Peng
2024	J	`jnl`	Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. ACM Trans. Knowl. Discov. Data Ling Chen, Jiahui Xu, Binqing Wu, Jianlong Huang
2024	A*	`conf`	WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction. IJCAI Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen
2023	J	`jnl`	DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling. CoRR Pengwei Liu, Wenwei Wang, Bingqing Peng, Binqing Wu, Liang Sun
2023	J	`jnl`	DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting. CoRR Binqing Wu, Ling Chen
2023	A	`conf`	Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. CIKM Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim
2023	J	`jnl`	Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Ling Chen, Donghui Chen, Zongjiang Shang, Binqing Wu, Cen Zheng, Bo Wen, Wei Zhang
2023	J	`jnl`	WeatherGNN: Exploiting Complicated Relationships in Numerical Weather Prediction Bias Correction. CoRR Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen
2022	J	`jnl`	Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting. CoRR Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim
2022	J	`jnl`	Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting. CoRR Ling Chen, Donghui Chen, Zongjiang Shang, Binqing Wu, Cen Zheng, Bo Wen, Wei Zhang
2021	J	`jnl`	Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. CoRR Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng Li, Yongjun Zhang
2021	J	`jnl`	Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting. CoRR Ling Chen, Weiqi Chen, Binqing Wu, Youdong Zhang, Bo Wen, Chenghu Yang