Wang, Binwu

10 publications

IJCAI 2025 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang

NeurIPS 2025 Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting Jiaming Ma, Binwu Wang, Guanjun Wang, Kuo Yang, Zhengyang Zhou, Pengkun Wang, Xu Wang, Yang Wang

NeurIPS 2025 Many Minds, One Goal: Time Series Forecasting via Sub-Task Specialization and Inter-Agent Cooperation Qihe Huang, Zhengyang Zhou, Yangze Li, Kuo Yang, Binwu Wang, Yang Wang

NeurIPS 2025 MoFo: Empowering Long-Term Time Series Forecasting with Periodic Pattern Modeling Jiaming Ma, Binwu Wang, Qihe Huang, Guanjun Wang, Pengkun Wang, Zhengyang Zhou, Yang Wang

ICML 2025 Robust Spatio-Temporal Centralized Interaction for OOD Learning Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang

ICLR 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-Tailed Learning Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang

NeurIPS 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-Tailed Problems Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang

IJCAI 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang

AAAI 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang

NeurIPS 2023 CrossGNN: Confronting Noisy Multivariate Time Series via Cross Interaction Refinement Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang