| 2026 | AAAI | Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing. | Shichao Ma, Yunhe Guo, Jiahao Su, Qihe Huang, Zhengyang Zhou, Yang Wang |
| 2026 | AAAI | MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds. | Xiaohan Qin, Chao Wang, Zhengyang Zhou, Linjiang Chen, Wenjie Du, Yang Wang |
| 2026 | AAAI | U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions. | Guanjun Wang, Jianhao Zhang, Jiaming Ma, Sheng Huang, Pengkun Wang, Zhengyang Zhou, Binwu Wang, Yang Wang |
| 2026 | ACL | Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models. | Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang |
| 2026 | ACL | TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization. | Shichao Ma, Zhiyuan Ma, Ming Yang, Xiaofan Li, Xing Wu, Jintao Du, Yu Cheng, Weiqiang Wang, Qiliang Liu, Zhengyang Zhou, Yang Wang |
| 2026 | WWW | QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting. | Shichao Ma, Zhengyang Zhou, Qihe Huang, Binwu Wang, Yang Wang |
| 2026 | WWW | DualGR: Generative Retrieval with Long and Short-Term Interests Modeling. | Zhongchao Yi, Kai Feng, Xiaojian Ma, Yalong Wang, Yongqi Liu, Han Li, Zhengyang Zhou, Yang Wang |
| 2025 | ICDE | DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis. | Yudong Zhang, Xu Wang, Xuan Yu, Zhengyang Zhou, Xing Xu, Lei Bai, Yang Wang |
| 2025 | ICML | TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting. | Qihe Huang, Zhengyang Zhou, Kuo Yang, Zhongchao Yi, Xu Wang, Yang Wang |
| 2025 | ICML | 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 |
| 2025 | ICML | Robust Spatio-Temporal Centralized Interaction for OOD Learning. | Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang |
| 2025 | ICML | Enhancing Graph Invariant Learning from a Negative Inference Perspective. | Kuo Yang, Zhengyang Zhou, Qihe Huang, Wenjie Du, Limin Li, Wu Jiang, Yang Wang |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | Revealing Concept Shift in Spatio-Temporal Graphs via State Learning. | Kuo Yang, Yunhe Guo, Qihe Huang, Zhengyang Zhou, Yang Wang |
| 2025 | ICRA | LamPro: Multi-Prototype Representation Learning for Enhanced Visual Pattern Recognition. | Ji Qi, Wei Sun, Qihe Huang, Zhengyang Zhou, Yang Wang |
| 2025 | WWW | Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture. | Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang |
| 2025 | WWW | Exploiting Language Power for Time Series Forecasting with Exogenous Variables. | Qihe Huang, Zhengyang Zhou, Kuo Yang, Yang Wang |
| 2025 | WWW | FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning. | Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. | Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang |
| 2024 | AAAI | Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. | Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang |
| 2024 | AAAI | NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching. | Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, Yang Wang |
| 2024 | AAAI | 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 |
| 2024 | IJCAI | LeRet: Language-Empowered Retentive Network for Time Series Forecasting. | Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang |
| 2024 | IJCAI | Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. | Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang |
| 2024 | IJCAI | 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 |
| 2024 | KDD | STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts. | Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang |
| 2024 | WWW | Scenario-Driven Cyber-Physical-Social System: Intelligent Workflow Generation Based on Capability. | Yi Li, Xinkui Zhao, Chen Chen, Shengye Pang, Zhengyang Zhou, Jianwei Yin |
| 2024 | WSDM | CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting. | Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang |
| 2023 | ICLR | GReTo: Remedying dynamic graph topology-task discordance via target homophily. | Zhengyang Zhou, Qihe Huang, Gengyu Lin, Kuo Yang, Lei Bai, Yang Wang |
| 2023 | KDD | Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. | Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang |
| 2023 | KDD | An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. | Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang |
| 2023 | KDD | EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. | Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang |
| 2023 | KDD | Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. | Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang |
| 2023 | WSDM | A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. | Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang |
| 2023 | SDM | Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. | Zhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang |
| 2022 | WSDM | CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. | Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang |
| 2021 | ICDE | TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories? | Kangjia Shao, Yang Wang, Zhengyang Zhou, Xike Xie, Guang Wang |
| 2021 | WWW | STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility. | Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li |
| 2020 | AAAI | RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework. | Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu |
| 2019 | ICDM | An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective. | Chuancai Ge, Yang Wang, Xike Xie, Hengchang Liu, Zhengyang Zhou |
| 2019 | MDM | Attention Based Stack ResNet for Citywide Traffic Accident Prediction. | Zhengyang Zhou |