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2020 – today
- 2024
[j14]Yifei Wang
, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou, Pengyu Hong:
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. J. Biomed. Informatics 156: 104677 (2024)- [j13]Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang:
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3388-3405 (2024) - [j12]Chunjun Qian, Chong Jiang, Kai Xie, Chongyang Ding, Yue Teng, Jiawei Sun, Liugang Gao, Zhengyang Zhou, Xinye Ni:
Prognosis Prediction of Diffuse Large B-Cell Lymphoma in $^{18}$F-FDG PET Images Based on Multi-Deep-Learning Models. IEEE J. Biomed. Health Informatics 28(7): 4010-4023 (2024) - [j11]Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai, Yang Wang:
Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 25(10): 14070-14086 (2024) - [j10]Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang:
Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity. IEEE Trans. Mob. Comput. 23(5): 4723-4738 (2024) - [j9]Yudong Zhang, Xu Wang, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Yang Wang:
Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning. IEEE Trans. Mob. Comput. 23(12): 15289-15306 (2024) - [j8]Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang, Zhengyang Zhou, Lei Bai, Yang Wang:
Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction. IEEE Trans. Veh. Technol. 73(1): 282-294 (2024) - [c27]Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, Yang Wang:
NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching. AAAI 2024: 401-409 - [c26]Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. AAAI 2024: 9089-9097 - [c25]Qihe Huang, Lei Shen, Ruixin Zhang, Jiahuan Cheng, Shouhong Ding, Zhengyang Zhou, Yang Wang:
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting. AAAI 2024: 12608-12616 - [c24]Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang:
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. AAAI 2024: 15906-15914 - [c23]Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang:
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. AAAI 2024: 17042-17050 - [c22]Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang:
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. IJCAI 2024: 2243-2251 - [c21]Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang:
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity. IJCAI 2024: 2388-2396 - [c20]Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang:
LeRet: Language-Empowered Retentive Network for Time Series Forecasting. IJCAI 2024: 4165-4173 - [c19]Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang:
STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts. KDD 2024: 2948-2959 - [c18]Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang:
CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting. WSDM 2024: 985-993 - [c17]Yi Li, Xinkui Zhao, Chen Chen, Shengye Pang, Zhengyang Zhou, Jianwei Yin:
Scenario-Driven Cyber-Physical-Social System: Intelligent Workflow Generation Based on Capability. WWW (Companion Volume) 2024: 1047-1050 - [i15]Hao Xu, Zhengyang Zhou, Pengyu Hong:
Graph Multi-Similarity Learning for Molecular Property Prediction. CoRR abs/2401.17615 (2024) - [i14]Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yang Wang:
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution. CoRR abs/2403.01738 (2024) - [i13]Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang:
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization. CoRR abs/2403.12391 (2024) - [i12]Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang:
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. CoRR abs/2404.14073 (2024) - [i11]Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang:
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. CoRR abs/2404.14941 (2024) - [i10]Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Yanjiang Chen, Liheng Yu, Xu Wang, Yang Wang:
Get Rid of Task Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework. CoRR abs/2410.10524 (2024) - [i9]Zhengyang Zhou, Hao Xu, Pengyu Hong:
Multimodal Fusion with Relational Learning for Molecular Property Prediction. CoRR abs/2410.12128 (2024) - 2023
- [j7]Pengkun Wang, Chuancai Ge, Zhengyang Zhou, Xu Wang, Yuantao Li, Yang Wang:
Joint Gated Co-Attention Based Multi-Modal Networks for Subregion House Price Prediction. IEEE Trans. Knowl. Data Eng. 35(2): 1667-1680 (2023) - [j6]Kun Wang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Qi Fang, Yang Wang:
A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction. IEEE Trans. Knowl. Data Eng. 35(12): 11984-11998 (2023) - [c16]Zhengyang Zhou, Qihe Huang, Gengyu Lin, Yang Kuo, Lei Bai, Yang Wang:
GReTo: Remedying dynamic graph topology-task discordance via target homophily. ICLR 2023 - [c15]Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. KDD 2023: 2223-2232 - [c14]Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang:
An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. KDD 2023: 2409-2418 - [c13]Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang:
EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. KDD 2023: 2953-2964 - [c12]Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang:
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. KDD 2023: 3603-3614 - [c11]Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang:
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement. NeurIPS 2023 - [c10]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. NeurIPS 2023 - [c9]Zhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang:
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. SDM 2023: 190-198 - [c8]Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang:
A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. WSDM 2023: 294-302 - [i8]Xu Wang, Pengfei Gu, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective. CoRR abs/2301.11742 (2023) - [i7]Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong:
Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation. CoRR abs/2305.18160 (2023) - [i6]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. CoRR abs/2309.13378 (2023) - [i5]Hao Xu, Zhengyang Zhou, Pengyu Hong:
Molecular Identification and Peak Assignment: Leveraging Multi-Level Multimodal Alignment on NMR. CoRR abs/2311.13817 (2023) - [i4]Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang:
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. CoRR abs/2312.08403 (2023) - 2022
- [j5]Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Chaochao Zhu:
Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective. IEEE Trans. Knowl. Data Eng. 34(8): 3786-3799 (2022) - [j4]Pengkun Wang, Chaochao Zhu, Xu Wang, Zhengyang Zhou, Guang Wang, Yang Wang:
Inferring Intersection Traffic Patterns With Sparse Video Surveillance Information: An ST-GAN Method. IEEE Trans. Veh. Technol. 71(9): 9840-9852 (2022) - [c7]Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang:
CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. WSDM 2022: 1406-1414 - [i3]Zhengyang Zhou, Yang Kuo, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang:
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. CoRR abs/2208.08878 (2022) - 2021
- [c6]Kangjia Shao, Yang Wang, Zhengyang Zhou, Xike Xie, Guang Wang:
TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories? ICDE 2021: 2189-2194 - [c5]Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li:
STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility. WWW 2021: 1868-1879 - [i2]Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li:
STUaNet: Understanding uncertainty in spatiotemporal collective human mobility. CoRR abs/2102.06027 (2021) - 2020
- [j3]Jianan Wang, Zhengyang Zhou, Chunyan Wang, Zhengtao Ding:
Cascade structure predictive observer design for consensus control with applications to UAVs formation flying. Autom. 121: 109200 (2020) - [j2]Yang Wang, Zhengyang Zhou, Kai Liu, Xike Xie, Wenhua Li:
Large-Scale Intelligent Taxicab Scheduling: A Distributed and Future-Aware Approach. IEEE Trans. Veh. Technol. 69(8): 8176-8191 (2020) - [c4]Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu:
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework. AAAI 2020: 1258-1265 - [c3]Kangjia Shao, Kun Wang, Lianliang Chen, Zhengyang Zhou:
Estimation of Urban Travel Time with Sparse Traffic Surveillance Data. HPCCT/BDAI 2020: 218-223 - [i1]Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu:
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework. CoRR abs/2003.00819 (2020)
2010 – 2019
- 2019
- [j1]Jianan Wang, Zhengyang Zhou, Chunyan Wang, Jiayuan Shan:
Multiple Quadrotors Formation Flying Control Design and Experimental Verification. Unmanned Syst. 7(1): 47-54 (2019) - [c2]Chuancai Ge, Yang Wang, Xike Xie, Hengchang Liu, Zhengyang Zhou:
An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective. ICDM 2019: 1054-1059 - [c1]Zhengyang Zhou:
Attention Based Stack ResNet for Citywide Traffic Accident Prediction. MDM 2019: 369-370
Coauthor Index
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last updated on 2024-11-26 20:47 CET by the dblp team
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