dblp: Zhengyang Zhou
https://dblp.org/pid/246/8238.html
dblp person page RSS feedTue, 26 Nov 2024 20:47:59 +0100en-USdaily1released under the CC0 1.0 licensedblp@dagstuhl.de (dblp team)dblp@dagstuhl.de (dblp team)Computers/Computer_Science/Publications/Bibliographieshttp://www.rssboard.org/rss-specificationhttps://dblp.org/img/logo.144x51.pngdblp: Zhengyang Zhouhttps://dblp.org/pid/246/8238.html14451Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases.https://doi.org/10.1016/j.jbi.2024.104677Yifei 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. Informatics156: 104677 (2024)]]>https://dblp.org/rec/journals/jbi/WangWZLLZH24Mon, 01 Jan 2024 00:00:00 +0100Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.https://doi.org/10.1109/TPAMI.2023.3342184Kun 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)]]>https://dblp.org/rec/journals/pami/WangLLLGZZYZW24Wed, 01 May 2024 01:00:00 +0200Prognosis Prediction of Diffuse Large B-Cell Lymphoma in $^{18}$F-FDG PET Images Based on Multi-Deep-Learning Models.https://doi.org/10.1109/JBHI.2024.3390804Chunjun 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 Informatics28(7): 4010-4023 (2024)]]>https://dblp.org/rec/journals/titb/QianJXDTSGZN24Mon, 01 Jul 2024 01:00:00 +0200Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.https://doi.org/10.1109/TITS.2024.3392975Yudong 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)]]>https://dblp.org/rec/journals/tits/ZhangWWWZZBW24Tue, 01 Oct 2024 01:00:00 +0200Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.https://doi.org/10.1109/TMC.2023.3296501Zhengyang 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)]]>https://dblp.org/rec/journals/tmc/ZhouYLWCW24Wed, 01 May 2024 01:00:00 +0200Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning.https://doi.org/10.1109/TMC.2024.3453657Yudong 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)]]>https://dblp.org/rec/journals/tmc/ZhangWWWZW24Sun, 01 Dec 2024 00:00:00 +0100Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction.https://doi.org/10.1109/TVT.2023.3307755Xu 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)]]>https://dblp.org/rec/journals/tvt/WangWWZZBW24Mon, 01 Jan 2024 00:00:00 +0100NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching.https://doi.org/10.1609/aaai.v38i1.27794Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, Yang Wang: NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching.AAAI2024: 401-409]]>https://dblp.org/rec/conf/aaai/Zhang0WZZDW24Mon, 01 Jan 2024 00:00:00 +0100Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.https://doi.org/10.1609/aaai.v38i8.28759Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang: Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.AAAI2024: 9089-9097]]>https://dblp.org/rec/conf/aaai/WangW0WZ0024Mon, 01 Jan 2024 00:00:00 +0100HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting.https://doi.org/10.1609/aaai.v38i11.29155Qihe Huang, Lei Shen, Ruixin Zhang, Jiahuan Cheng, Shouhong Ding, Zhengyang Zhou, Yang Wang: HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting.AAAI2024: 12608-12616]]>https://dblp.org/rec/conf/aaai/HuangSZCDZW24Mon, 01 Jan 2024 00:00:00 +0100Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.https://doi.org/10.1609/aaai.v38i14.29521Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang: Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.AAAI2024: 15906-15914]]>https://dblp.org/rec/conf/aaai/WuLXZHWW24Mon, 01 Jan 2024 00:00:00 +0100A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks.https://doi.org/10.1609/aaai.v38i15.29648Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang: A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks.AAAI2024: 17042-17050]]>https://dblp.org/rec/conf/aaai/ZhaoWW0ZW24Mon, 01 Jan 2024 00:00:00 +0100Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.https://www.ijcai.org/proceedings/2024/248Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang: Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.IJCAI2024: 2243-2251]]>https://dblp.org/rec/conf/ijcai/LuoZ0WZRL24Mon, 01 Jan 2024 00:00:00 +0100Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity.https://www.ijcai.org/proceedings/2024/264Binwu 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.IJCAI2024: 2388-2396]]>https://dblp.org/rec/conf/ijcai/WangWZ0X024Mon, 01 Jan 2024 00:00:00 +0100LeRet: Language-Empowered Retentive Network for Time Series Forecasting.https://www.ijcai.org/proceedings/2024/460Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang: LeRet: Language-Empowered Retentive Network for Time Series Forecasting.IJCAI2024: 4165-4173]]>https://dblp.org/rec/conf/ijcai/HuangZYLYW24Mon, 01 Jan 2024 00:00:00 +0100STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts.https://doi.org/10.1145/3637528.3671680Binwu 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.KDD2024: 2948-2959]]>https://dblp.org/rec/conf/kdd/WangMWW0ZW24Mon, 01 Jan 2024 00:00:00 +0100CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting.https://doi.org/10.1145/3616855.3635759Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang: CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting.WSDM2024: 985-993]]>https://dblp.org/rec/conf/wsdm/ZhouSZCWCW24Mon, 01 Jan 2024 00:00:00 +0100Scenario-Driven Cyber-Physical-Social System: Intelligent Workflow Generation Based on Capability.https://doi.org/10.1145/3589335.3651246Yi 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]]>https://dblp.org/rec/conf/www/LiZCPZY24Mon, 01 Jan 2024 00:00:00 +0100Graph Multi-Similarity Learning for Molecular Property Prediction.https://doi.org/10.48550/arXiv.2401.17615Hao Xu, Zhengyang Zhou, Pengyu Hong: Graph Multi-Similarity Learning for Molecular Property Prediction.CoRRabs/2401.17615 (2024)]]>https://dblp.org/rec/journals/corr/abs-2401-17615Mon, 01 Jan 2024 00:00:00 +0100ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution.https://doi.org/10.48550/arXiv.2403.01738Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yang Wang: ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution.CoRRabs/2403.01738 (2024)]]>https://dblp.org/rec/journals/corr/abs-2403-01738Mon, 01 Jan 2024 00:00:00 +0100FairSTG: Countering performance heterogeneity via collaborative sample-level optimization.https://doi.org/10.48550/arXiv.2403.12391Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang: FairSTG: Countering performance heterogeneity via collaborative sample-level optimization.CoRRabs/2403.12391 (2024)]]>https://dblp.org/rec/journals/corr/abs-2403-12391Mon, 01 Jan 2024 00:00:00 +0100Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.https://doi.org/10.48550/arXiv.2404.14073Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang: Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.CoRRabs/2404.14073 (2024)]]>https://dblp.org/rec/journals/corr/abs-2404-14073Mon, 01 Jan 2024 00:00:00 +0100Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks.https://doi.org/10.48550/arXiv.2404.14941Zhe 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.CoRRabs/2404.14941 (2024)]]>https://dblp.org/rec/journals/corr/abs-2404-14941Mon, 01 Jan 2024 00:00:00 +0100Get Rid of Task Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework.https://doi.org/10.48550/arXiv.2410.10524Zhongchao 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.CoRRabs/2410.10524 (2024)]]>https://dblp.org/rec/journals/corr/abs-2410-10524Mon, 01 Jan 2024 00:00:00 +0100Multimodal Fusion with Relational Learning for Molecular Property Prediction.https://doi.org/10.48550/arXiv.2410.12128Zhengyang Zhou, Hao Xu, Pengyu Hong: Multimodal Fusion with Relational Learning for Molecular Property Prediction.CoRRabs/2410.12128 (2024)]]>https://dblp.org/rec/journals/corr/abs-2410-12128Mon, 01 Jan 2024 00:00:00 +0100Joint Gated Co-Attention Based Multi-Modal Networks for Subregion House Price Prediction.https://doi.org/10.1109/TKDE.2021.3093881Pengkun 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)]]>https://dblp.org/rec/journals/tkde/WangGZWLW23Sun, 01 Jan 2023 00:00:00 +0100A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction.https://doi.org/10.1109/TKDE.2022.3176650Kun 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)]]>https://dblp.org/rec/journals/tkde/WangZWWFW23Fri, 01 Dec 2023 00:00:00 +0100GReTo: Remedying dynamic graph topology-task discordance via target homophily.https://openreview.net/forum?id=8duT3mi_5nZhengyang Zhou, Qihe Huang, Gengyu Lin, Yang Kuo, Lei Bai, Yang Wang: GReTo: Remedying dynamic graph topology-task discordance via target homophily.ICLR2023]]>https://dblp.org/rec/conf/iclr/ZhouHLK0023Sun, 01 Jan 2023 00:00:00 +0100Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction.https://doi.org/10.1145/3580305.3599463Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang: Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction.KDD2023: 2223-2232]]>https://dblp.org/rec/conf/kdd/WangZWWZ0W23Sun, 01 Jan 2023 00:00:00 +0100An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series.https://doi.org/10.1145/3580305.3599257Xu 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.KDD2023: 2409-2418]]>https://dblp.org/rec/conf/kdd/WangZWZWZW23Sun, 01 Jan 2023 00:00:00 +0100EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation.https://doi.org/10.1145/3580305.3599339Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang: EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation.KDD2023: 2953-2964]]>https://dblp.org/rec/conf/kdd/YangZSWWW23Sun, 01 Jan 2023 00:00:00 +0100Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.https://doi.org/10.1145/3580305.3599421Zhengyang 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.KDD2023: 3603-3614]]>https://dblp.org/rec/conf/kdd/ZhouHYWWZLW23Sun, 01 Jan 2023 00:00:00 +0100CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement.http://papers.nips.cc/paper_files/paper/2023/hash/9278abf072b58caf21d48dd670b4c721-Abstract-Conference.htmlQihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang: CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement.NeurIPS2023]]>https://dblp.org/rec/conf/nips/HuangSZDWZW23Sun, 01 Jan 2023 00:00:00 +0100Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.http://papers.nips.cc/paper_files/paper/2023/hash/74fa3651b41560e1c7555e0958c70333-Abstract-Conference.htmlYutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann: Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.NeurIPS2023]]>https://dblp.org/rec/conf/nips/XiaLWLWZZ23Sun, 01 Jan 2023 00:00:00 +0100Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics.https://doi.org/10.1137/1.9781611977653.ch22Zhengyang 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.SDM2023: 190-198]]>https://dblp.org/rec/conf/sdm/ZhouYSWZZ023Sun, 01 Jan 2023 00:00:00 +0100A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework.https://doi.org/10.1145/3539597.3570396Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang: A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework.WSDM2023: 294-302]]>https://dblp.org/rec/conf/wsdm/WangCZWZW23Sun, 01 Jan 2023 00:00:00 +0100Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective.https://doi.org/10.48550/arXiv.2301.11742Xu 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.CoRRabs/2301.11742 (2023)]]>https://dblp.org/rec/journals/corr/abs-2301-11742Sun, 01 Jan 2023 00:00:00 +0100Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation.https://doi.org/10.48550/arXiv.2305.18160Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong: Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation.CoRRabs/2305.18160 (2023)]]>https://dblp.org/rec/journals/corr/abs-2305-18160Sun, 01 Jan 2023 00:00:00 +0100Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.https://doi.org/10.48550/arXiv.2309.13378Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann: Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.CoRRabs/2309.13378 (2023)]]>https://dblp.org/rec/journals/corr/abs-2309-13378Sun, 01 Jan 2023 00:00:00 +0100Molecular Identification and Peak Assignment: Leveraging Multi-Level Multimodal Alignment on NMR.https://doi.org/10.48550/arXiv.2311.13817Hao Xu, Zhengyang Zhou, Pengyu Hong: Molecular Identification and Peak Assignment: Leveraging Multi-Level Multimodal Alignment on NMR.CoRRabs/2311.13817 (2023)]]>https://dblp.org/rec/journals/corr/abs-2311-13817Sun, 01 Jan 2023 00:00:00 +0100Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.https://doi.org/10.48550/arXiv.2312.08403Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang: Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.CoRRabs/2312.08403 (2023)]]>https://dblp.org/rec/journals/corr/abs-2312-08403Sun, 01 Jan 2023 00:00:00 +0100Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective.https://doi.org/10.1109/TKDE.2020.3034312Zhengyang 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)]]>https://dblp.org/rec/journals/tkde/ZhouWXCZ22Sat, 01 Jan 2022 00:00:00 +0100Inferring Intersection Traffic Patterns With Sparse Video Surveillance Information: An ST-GAN Method.https://doi.org/10.1109/TVT.2022.3176653Pengkun 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)]]>https://dblp.org/rec/journals/tvt/WangZWZWW22Sat, 01 Jan 2022 00:00:00 +0100CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction.https://doi.org/10.1145/3488560.3498394Yudong 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.WSDM2022: 1406-1414]]>https://dblp.org/rec/conf/wsdm/0001WSZW22Sat, 01 Jan 2022 00:00:00 +0100Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics.https://doi.org/10.48550/arXiv.2208.08878Zhengyang 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.CoRRabs/2208.08878 (2022)]]>https://dblp.org/rec/journals/corr/abs-2208-08878Sat, 01 Jan 2022 00:00:00 +0100TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories?https://doi.org/10.1109/ICDE51399.2021.00222Kangjia Shao, Yang Wang, Zhengyang Zhou, Xike Xie, Guang Wang: TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories?ICDE2021: 2189-2194]]>https://dblp.org/rec/conf/icde/ShaoWZXW21Fri, 01 Jan 2021 00:00:00 +0100STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility.https://doi.org/10.1145/3442381.3449817Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li: STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility.WWW2021: 1868-1879]]>https://dblp.org/rec/conf/www/ZhouWXQL21Fri, 01 Jan 2021 00:00:00 +0100STUaNet: Understanding uncertainty in spatiotemporal collective human mobility.https://arxiv.org/abs/2102.06027Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li: STUaNet: Understanding uncertainty in spatiotemporal collective human mobility.CoRRabs/2102.06027 (2021)]]>https://dblp.org/rec/journals/corr/abs-2102-06027Fri, 01 Jan 2021 00:00:00 +0100Cascade structure predictive observer design for consensus control with applications to UAVs formation flying.https://doi.org/10.1016/j.automatica.2020.109200Jianan 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)]]>https://dblp.org/rec/journals/automatica/WangZWD20Wed, 01 Jan 2020 00:00:00 +0100Large-Scale Intelligent Taxicab Scheduling: A Distributed and Future-Aware Approach.https://doi.org/10.1109/TVT.2020.2997712Yang 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)]]>https://dblp.org/rec/journals/tvt/WangZLXL20Wed, 01 Jan 2020 00:00:00 +0100RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework.https://doi.org/10.1609/aaai.v34i01.5480Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu: RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework.AAAI2020: 1258-1265]]>https://dblp.org/rec/conf/aaai/ZhouWXCL20Wed, 01 Jan 2020 00:00:00 +0100Estimation of Urban Travel Time with Sparse Traffic Surveillance Data.https://doi.org/10.1145/3409501.3409539Kangjia Shao, Kun Wang, Lianliang Chen, Zhengyang Zhou: Estimation of Urban Travel Time with Sparse Traffic Surveillance Data.HPCCT/BDAI2020: 218-223]]>https://dblp.org/rec/conf/hpcct/ShaoWCZ20Wed, 01 Jan 2020 00:00:00 +0100RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework.https://arxiv.org/abs/2003.00819Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu: RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework.CoRRabs/2003.00819 (2020)]]>https://dblp.org/rec/journals/corr/abs-2003-00819Wed, 01 Jan 2020 00:00:00 +0100Multiple Quadrotors Formation Flying Control Design and Experimental Verification.https://doi.org/10.1142/S2301385019400053Jianan Wang, Zhengyang Zhou, Chunyan Wang, Jiayuan Shan: Multiple Quadrotors Formation Flying Control Design and Experimental Verification.Unmanned Syst.7(1): 47-54 (2019)]]>https://dblp.org/rec/journals/us/WangZ0S19Tue, 01 Jan 2019 00:00:00 +0100An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective.https://doi.org/10.1109/ICDM.2019.00123Chuancai Ge, Yang Wang, Xike Xie, Hengchang Liu, Zhengyang Zhou: An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective.ICDM2019: 1054-1059]]>https://dblp.org/rec/conf/icdm/GeWXLZ19Tue, 01 Jan 2019 00:00:00 +0100Attention Based Stack ResNet for Citywide Traffic Accident Prediction.https://doi.org/10.1109/MDM.2019.00-27Zhengyang Zhou: Attention Based Stack ResNet for Citywide Traffic Accident Prediction.MDM2019: 369-370]]>https://dblp.org/rec/conf/mdm/Zhou19Tue, 01 Jan 2019 00:00:00 +0100