Zhengyang Zhou

According to our database, Zhengyang Zhou authored at least 51 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning.

Yudong Zhang, Xu Wang, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Yang Wang

IEEE Trans. Mob. Comput., December, 2024

Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.

Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai, Yang Wang

IEEE Trans. Intell. Transp. Syst., October, 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, July, 2024

Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.

Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang

IEEE Trans. Mob. Comput., May, 2024

Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.

Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction.

Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang, Zhengyang Zhou, Lei Bai, Yang Wang

IEEE Trans. Veh. Technol., January, 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, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou, Pengyu Hong

J. Biomed. Informatics, 2024

Multimodal Fusion with Relational Learning for Molecular Property Prediction.

Zhengyang Zhou, Hao Xu, Pengyu Hong

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

CoRR, 2024

Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks.

Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang

CoRR, 2024

FairSTG: Countering performance heterogeneity via collaborative sample-level optimization.

Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang

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

CoRR, 2024

Graph Multi-Similarity Learning for Molecular Property Prediction.

Hao Xu, Zhengyang Zhou, Pengyu Hong

CoRR, 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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

LeRet: Language-Empowered Retentive Network for Time Series Forecasting.

Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.

Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction.

Kun Wang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Qi Fang, Yang Wang

IEEE Trans. Knowl. Data Eng., December, 2023

Joint Gated Co-Attention Based Multi-Modal Networks for Subregion House Price Prediction.

Pengkun Wang, Chuancai Ge, Zhengyang Zhou, Xu Wang, Yuantao Li, Yang Wang

IEEE Trans. Knowl. Data Eng., 2023

Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.

Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang

CoRR, 2023

Molecular Identification and Peak Assignment: Leveraging Multi-Level Multimodal Alignment on NMR.

Hao Xu, Zhengyang Zhou, Pengyu Hong

CoRR, 2023

Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation.

Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong

CoRR, 2023

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective.

Xu Wang, Pengfei Gu, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Lei Bai, Yang Wang

CoRR, 2023

A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework.

Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 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

Proceedings of the 2023 SIAM International Conference on Data Mining, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation.

Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GReTo: Remedying dynamic graph topology-task discordance via target homophily.

Zhengyang Zhou, Qihe Huang, Gengyu Lin, Yang Kuo, Lei Bai, Yang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Inferring Intersection Traffic Patterns With Sparse Video Surveillance Information: An ST-GAN Method.

Pengkun Wang, Chaochao Zhu, Xu Wang, Zhengyang Zhou, Guang Wang, Yang Wang

IEEE Trans. Veh. Technol., 2022

Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective.

Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Chaochao Zhu

IEEE Trans. Knowl. Data Eng., 2022

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

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility.

Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li

Proceedings of the WWW '21: The Web Conference 2021, 2021

TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories?

Kangjia Shao, Yang Wang, Zhengyang Zhou, Xike Xie, Guang Wang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Large-Scale Intelligent Taxicab Scheduling: A Distributed and Future-Aware Approach.

Yang Wang, Zhengyang Zhou, Kai Liu, Xike Xie, Wenhua Li

IEEE Trans. Veh. Technol., 2020

Cascade structure predictive observer design for consensus control with applications to UAVs formation flying.

Jianan Wang, Zhengyang Zhou, Chunyan Wang, Zhengtao Ding

Autom., 2020

Estimation of Urban Travel Time with Sparse Traffic Surveillance Data.

Kangjia Shao, Kun Wang, Lianliang Chen, Zhengyang Zhou

Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework.

Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multiple Quadrotors Formation Flying Control Design and Experimental Verification.

Jianan Wang, Zhengyang Zhou, Chunyan Wang, Jiayuan Shan

Unmanned Syst., 2019

Attention Based Stack ResNet for Citywide Traffic Accident Prediction.

Zhengyang Zhou

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective.

Chuancai Ge, Yang Wang, Xike Xie, Hengchang Liu, Zhengyang Zhou

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019