An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective. - Chuancai Ge; Yang Wang 015; Xike Xie; Hengchang Liu; Zhengyang Zhou (ICDM, 2019)

Attention Based Stack ResNet for Citywide Traffic Accident Prediction. - Zhengyang Zhou (MDM, 2019)

Multiple Quadrotors Formation Flying Control Design and Experimental Verification. - Jianan Wang; Zhengyang Zhou; Chunyan Wang 008; Jiayuan Shan (Unmanned Syst., 2019)

RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework. - Zhengyang Zhou; Yang Wang 015; Xike Xie; Lianliang Chen; Hengchang Liu (AAAI, 2020)

Estimation of Urban Travel Time with Sparse Traffic Surveillance Data. - Kangjia Shao; Kun Wang 056; Lianliang Chen; Zhengyang Zhou (HPCCT/BDAI, 2020)

Cascade structure predictive observer design for consensus control with applications to UAVs formation flying. - Jianan Wang; Zhengyang Zhou; Chunyan Wang 008; Zhengtao Ding (Autom., 2020)

Large-Scale Intelligent Taxicab Scheduling: A Distributed and Future-Aware Approach. - Yang Wang 015; Zhengyang Zhou; Kai Liu; Xike Xie; Wenhua Li (IEEE Trans. Veh. Technol., 2020)

TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories? - Kangjia Shao; Yang Wang 015; Zhengyang Zhou; Xike Xie; Guang Wang 001 (ICDE, 2021)

STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility. - Zhengyang Zhou; Yang Wang 015; Xike Xie; Lei Qiao; Yuantao Li (WWW, 2021)

CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. - Yudong Zhang 005; Binwu Wang; Ziyang Shan; Zhengyang Zhou; Yang Wang 015 (WSDM, 2022)

Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective. - Zhengyang Zhou; Yang Wang 015; Xike Xie; Lianliang Chen; Chaochao Zhu (IEEE Trans. Knowl. Data Eng., 2022)

Inferring Intersection Traffic Patterns With Sparse Video Surveillance Information: An ST-GAN Method. - Pengkun Wang 001; Chaochao Zhu; Xu Wang 029; Zhengyang Zhou; Guang Wang 001; Yang Wang 015 (IEEE Trans. Veh. Technol., 2022)

GReTo: Remedying dynamic graph topology-task discordance via target homophily. - Zhengyang Zhou; Qihe Huang; Gengyu Lin; Yang Kuo; Lei Bai 001; Yang Wang 015 (ICLR, 2023)

Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. - Binwu Wang; Yudong Zhang 005; Xu Wang 029; Pengkun Wang 001; Zhengyang Zhou; Lei Bai 001; Yang Wang 015 (KDD, 2023)

An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. - Xu Wang 029; Hongbo Zhang; Pengkun Wang 001; Yudong Zhang 005; Binwu Wang; Zhengyang Zhou; Yang Wang 015 (KDD, 2023)

EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. - Kuo Yang; Zhengyang Zhou; Wei Sun; Pengkun Wang 001; Xu Wang 029; Yang Wang 015 (KDD, 2023)

Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. - Zhengyang Zhou; Qihe Huang; Kuo Yang; Kun Wang 056; Xu Wang 029; Yudong Zhang 005; Yuxuan Liang; Yang Wang 015 (KDD, 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 015 (NeurIPS, 2023)

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. - Yutong Xia; Yuxuan Liang; Haomin Wen; Xu Liu 014; Kun Wang 042; Zhengyang Zhou; Roger Zimmermann (NeurIPS, 2023)

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 015 (SDM, 2023)

A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. - Xu Wang 029; Lianliang Chen; Hongbo Zhang; Pengkun Wang 001; Zhengyang Zhou; Yang Wang 015 (WSDM, 2023)

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective. - Xu Wang 029; Pengfei Gu; Pengkun Wang 001; Binwu Wang; Zhengyang Zhou; Lei Bai 001; Yang Wang 015 (CoRR, 2023)

Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation. - Yifei Wang 002; Zhengyang Zhou; Liqin Wang; John Laurentiev; Peter Hou; Li Zhou 007; Pengyu Hong (CoRR, 2023)

Molecular Identification and Peak Assignment: Leveraging Multi-Level Multimodal Alignment on NMR. - Hao Xu; Zhengyang Zhou; Pengyu Hong (CoRR, 2023)

Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. - Hao Wu; Shilong Wang 002; Yuxuan Liang; Zhengyang Zhou; Wei Huang 034; Wei Xiong; Kun Wang 042 (CoRR, 2023)

Joint Gated Co-Attention Based Multi-Modal Networks for Subregion House Price Prediction. - Pengkun Wang 001; Chuancai Ge; Zhengyang Zhou; Xu Wang 029; Yuantao Li; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2023)

A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction. - Kun Wang 042; Zhengyang Zhou; Xu Wang 029; Pengkun Wang 001; Qi Fang; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2023)

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 015 (AAAI, 2024)

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. - Binwu Wang; Pengkun Wang 001; Yudong Zhang 005; Xu Wang 029; Zhengyang Zhou; Lei Bai 001; Yang Wang 015 (AAAI, 2024)

Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. - Hao Wu; Yuxuan Liang; Wei Xiong; Zhengyang Zhou; Wei Huang 034; Shilong Wang 002; Kun Wang 056 (AAAI, 2024)

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching. - Hongbo Zhang; Guang Wang 001; Xu Wang 029; Zhengyang Zhou; Chen Zhang; Zheng Dong 002; Yang Wang 015 (AAAI, 2024)

A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. - Zhe Zhao 008; Pengkun Wang 001; Haibin Wen; Yudong Zhang 005; Zhengyang Zhou; Yang Wang 015 (AAAI, 2024)

EMoNet: An environment causal learning for molecule OOD generalization. - Limin Li; Kuo Yang; Wenjie Du; Zhongchao Yi; Zhengyang Zhou; Yang Wang (BIBM, 2024)

LeRet: Language-Empowered Retentive Network for Time Series Forecasting. - Qihe Huang; Zhengyang Zhou; Kuo Yang; Gengyu Lin; Zhongchao Yi; Yang Wang 015 (IJCAI, 2024)

Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. - Kang Luo; Yuanshao Zhu; Wei Chen 070; Kun Wang 042; Zhengyang Zhou; Sijie Ruan; Yuxuan Liang (IJCAI, 2024)

Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity. - Binwu Wang; Pengkun Wang 001; Zhengyang Zhou; Zhe Zhao 008; Wei Xu; Yang Wang 015 (IJCAI, 2024)

STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts. - Binwu Wang; Jiaming Ma; Pengkun Wang 001; Xu Wang 029; Yudong Zhang 005; Zhengyang Zhou; Yang Wang 015 (KDD, 2024)

Improving Generalization of Dynamic Graph Learning via Environment Prompt. - Kuo Yang; Zhengyang Zhou; Qihe Huang; Limin Li; Yuxuan Liang; Yang Wang (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 015 (NeurIPS, 2024)

CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting. - Zhengyang Zhou; Jiahao Shi; Hongbo Zhang; Qiongyu Chen; Xu Wang 029; Hongyang Chen; Yang Wang 015 (WSDM, 2024)

Scenario-Driven Cyber-Physical-Social System: Intelligent Workflow Generation Based on Capability. - Yi Li; Xinkui Zhao; Chen Chen; Shengye Pang; Zhengyang Zhou; Jianwei Yin (WWW (Companion Volume), 2024)

Graph Multi-Similarity Learning for Molecular Property Prediction. - Hao Xu; Zhengyang Zhou; Pengyu Hong (CoRR, 2024)

ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution. - Zhengyang Zhou; Qihe Huang; Binwu Wang; Jianpeng Hou; Kuo Yang; Yuxuan Liang; Yang Wang 015 (CoRR, 2024)

Get Rid of Task Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework. - Zhongchao Yi; Zhengyang Zhou; Qihe Huang; Yanjiang Chen; Liheng Yu; Xu Wang; Yang Wang 015 (CoRR, 2024)

Multimodal Fusion with Relational Learning for Molecular Property Prediction. - Zhengyang Zhou; Hao Xu; Pengyu Hong (CoRR, 2024)

Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. - Yifei Wang 002; Liqin Wang; Zhengyang Zhou; John Laurentiev; Joshua R. Lakin; Li Zhou 007; Pengyu Hong (J. Biomed. Informatics, 2024)

Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction. - Xu Wang 029; Pengkun Wang 001; Binwu Wang; Yudong Zhang 005; Zhengyang Zhou; Lei Bai 001; Yang Wang 015 (IEEE Trans. Veh. Technol., 2024)

Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. - Kun Wang 056; Yuxuan Liang; Xinglin Li; Guohao Li 001; Bernard Ghanem; Roger Zimmermann; Zhengyang Zhou; Huahui Yi; Yudong Zhang 005; Yang Wang 015 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity. - Zhengyang Zhou; Kuo Yang; Yuxuan Liang; Binwu Wang; Hongyang Chen; Yang Wang 015 (IEEE Trans. Mob. Comput., 2024)

Prognosis Prediction of Diffuse Large B-Cell Lymphoma in $^{18}$F-FDG PET Images Based on Multi-Deep-Learning Models. - Chunjun Qian; Chong Jiang; Kai Xie; Chongyang Ding; Yue Teng; Jiawei Sun; Liugang Gao; Zhengyang Zhou; Xinye Ni (IEEE J. Biomed. Health Informatics, 2024)

Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting. - Yudong Zhang 005; Pengkun Wang 001; Binwu Wang; Xu Wang 029; Zhe Zhao 008; Zhengyang Zhou; Lei Bai 001; Yang Wang 015 (IEEE Trans. Intell. Transp. Syst., 2024)

Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning. - Yudong Zhang 005; Xu Wang 029; Pengkun Wang 001; Binwu Wang; Zhengyang Zhou; Yang Wang 015 (IEEE Trans. Mob. Comput., 2024)

Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture. - Yudong Zhang 001; Xu Wang 029; Xuan Yu; Kuo Yang; Zhengyang Zhou; Yang Wang 015 (WWW (Companion Volume), 2025)

Exploiting Language Power for Time Series Forecasting with Exogenous Variables. - Qihe Huang; Zhengyang Zhou; Kuo Yang; Yang Wang 015 (WWW, 2025)

FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning. - Yudong Zhang 005; Xu Wang 029; Xuan Yu; Kuo Yang; Zhengyang Zhou; Yang Wang 015 (WWW (Companion Volume), 2025)

Dynamic Event-Triggered and Fast Natural Logarithmic Sliding Mode Path Tracking Control for Autonomous Ground Vehicles With the Experiment Validation. - Zongliang Chen; Shuguo Pan; Kegen Yu; Xinhua Tang; Wang Gao; Zhengyang Zhou (IEEE Trans. Veh. Technol., 2025)

Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data. - Binwu Wang; Pengkun Wang 001; Yudong Zhang 005; Xu Wang 029; Zhengyang Zhou; Yang Wang 015 (IEEE Trans. Veh. Technol., 2025)

BiST: A Lightweight and Efficient Bi-directional Model for Spatiotemporal Prediction. - Jiaming Ma; Binwu Wang; Pengkun Wang 001; Zhengyang Zhou; Xu Wang 029; Yang Wang 015 (Proc. VLDB Endow., 2025)

Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. - Zhe Zhao 008; Pengkun Wang 001; Xu Wang 029; Haibin Wen; Xiaolong Xie; Zhengyang Zhou; Qingfu Zhang 001; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2025)

Soft causal learning for generalized molecule property prediction: An environment perspective. - Limin Li; Kuo Yang; Wenjie Du 003; Pengkun Wang 001; Zhengyang Zhou; Yang Wang 015 (CoRR, 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 015 (CoRR, 2025)

FairSTG: Countering Performance Heterogeneity via Collaborative Sample-Level Optimization. - Gengyu Lin; Zhengyang Zhou; Qihe Huang; Kuo Yang; Shifen Cheng; Yang Wang 015 (IEEE Trans. Mob. Comput., 2025)

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning. - Kuo Yang; Xingjie Yang; Linhui Yu; Qing Xu; Yan Fang; Xu Wang; Zhengyang Zhou; Yang Wang (CoRR, 2025)

RayE-Sub: Countering Subgraph Degradation via Perfect Reconstruction. - Kuo Yang; Zhengyang Zhou; Xu Wang 029; Pengkun Wang 001; Limin Li; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2025)