Zhou, Zhengyang

31 publications

ICLR 2026 Enabling Arbitrary Inference in Spatio-Temporal Dynamic Systems: A Physics-Inspired Perspective Yan Ge, Zhengyang Zhou, Qihe Huang, Yuxuan Liang, Yang Wang

ICLR 2026 I2Mole: Interaction-Aware Invariant Molecular Learning for Generalizable Property Prediction Wenjie Du, Jiahui Zhang, Xuqiang Li, Sihan Wang, Zhengyang Zhou, Hongxin Xiang, Jun Xia, Ye Wei, Yang Wang

ICLR 2026 One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype Guanjun Wang, Binwu Wang, Jiaming Ma, Zhengyang Zhou, Pengkun Wang, Xu Wang, Yang Wang

ICLR 2026 PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting Jiaming Ma, Qihe Huang, Haofeng Ma, Guanjun Wang, Sheng Huang, Zhengyang Zhou, Pengkun Wang, Xu Wang, Binwu Wang, Yang Wang

ICLR 2026 STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting Qihe Huang, Zhengyang Zhou, Yangze Li, Jiaming Ma, Kuo Yang, Binwu Wang, Xu Wang, Yang Wang

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

ICML 2025 Enhancing Graph Invariant Learning from a Negative Inference Perspective Kuo Yang, Zhengyang Zhou, Qihe Huang, Wenjie Du, Limin Li, Wu Jiang, Yang Wang

NeurIPS 2025 Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting Jiahui Zhang, Zhengyang Zhou, Wenjie Du, 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

IJCAI 2025 Revealing Concept Shift in Spatio-Temporal Graphs via State Learning Kuo Yang, Yunhe Guo, Qihe Huang, 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

ICML 2025 SynEVO: A Neuro-Inspired Spatiotemporal Evolutional Framework for Cross-Domain Adaptation Jiayue Liu, Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Kuo Yang, Xu Wang, Yang Wang

ICML 2025 TimeBase: The Power of Minimalism in Efficient Long-Term Time Series Forecasting Qihe Huang, Zhengyang Zhou, Kuo Yang, Zhongchao Yi, Xu Wang, Yang Wang

AAAI 2024 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang

AAAI 2024 Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang

ICMLW 2024 Enhancing Peak Assignment in CNMR Spectroscopy: A Novel Approach Using Multimodal Alignment Hao Xu, Zhengyang Zhou, Pengyu Hong

NeurIPS 2024 Get Rid of Isolation: A Continuous Multi-Task Spatio-Temporal Learning Framework Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Yanjiang Chen, Liheng Yu, Xu Wang, Yang Wang

ICMLW 2024 Graph Multi-Similarity Learning for Molecular Property Prediction Hao Xu, Zhengyang Zhou, Pengyu Hong

AAAI 2024 HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting Qihe Huang, Lei Shen, Ruixin Zhang, Jiahuan Cheng, Shouhong Ding, Zhengyang Zhou, Yang Wang

NeurIPS 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt Kuo Yang, Zhengyang Zhou, Qihe Huang, Limin Li, Yuxuan Liang, Yang Wang

IJCAI 2024 LeRet: Language-Empowered Retentive Network for Time Series Forecasting Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, 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 NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, 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

IJCAI 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang

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

NeurIPS 2023 Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann

ICLR 2023 GReTo: Remedying Dynamic Graph Topology-Task Discordance via Target Homophily Zhengyang Zhou, Qihe Huang, Gengyu Lin, Kuo Yang, Lei Bai, Yang Wang

AAAI 2020 RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu