Urban FlowLast updated on Dec 20, 2022Using a diversity of big data and deep learning techniques to predict citywide crowd/traffic flows throughout a city.Urban FlowSenior ResearcherMy research interests include deep learning, data mining, AI, big data analytics, and urban computing.RelatedTraffic Flow Forecasting with Spatial-Temporal Graph Diffusion NetworkPredicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional NetworksUrban flow prediction from spatiotemporal data using machine learning: A surveyMatrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow PredictionUrbanFM: Inferring Fine-Grained Urban FlowsPublicationsA Macro-Micro Spatio-Temporal Neural Network for Traffic PredictionSiyuan Feng*, Shuqing Wei, Junbo Zhang, Yexin Li, Jintao Ke, Gaode Chen, Yu Zheng, Hai YangPDF Project Project DOISpatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow PredictionIEEE TKDEPeng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo ZhangPDF Cite Project DOI ArticleFine-grained Urban Flow PredictionWWW 2021Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S.Rosenblum, Roger ZimmermannPDF Project ProjectPredicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional NetworksIEEE TKDE, 2020Junkai Sun, Junbo Zhang#, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu ZhengPDF Cite Project Project DOI ArticleRevisiting Convolutional Neural Networks for Citywide Crowd Flow AnalyticsECML-PKDD 2020Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. RosenblumPDF Code Project Project SlidesUrban flow prediction from spatiotemporal data using machine learning: A surveyInformation FusionPeng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo ZhangPDF Cite Project Project DOI ArticleMatrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow PredictionCIKM 2019, Applied Research Track (acceptance rate: 21.8%)Zheyi Pan*, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang#, Yu ZhengPDF Code Project ProjectCityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization ApproachCIKM 2019, Applied Research Track (acceptance rate: 21.8%)Xiuwen Yi, Zhewen Duan, Ting Li, Junbo Zhang#, Tianrui Li, Yu ZhengPDF Project ProjectUrban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning[ORAL] KDD 2019, Research Track (acceptance rate: 14.2%)Zheyi Pan*, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo ZhangPDF Cite Code Dataset Project Project Slides Video Ranked 12 in KDD 2019UrbanFM: Inferring Fine-Grained Urban FlowsKDD 2019, ADS Track (acceptance rate: 20.7%)Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu ZhengPDF Code Dataset Project Project VideoFlow Prediction in Spatio-Temporal Networks Based on Multitask Deep LearningPredicting flows (e.g. the traffic of vehicles, crowds and bikes), consisting of the in-out traffic at a node and transitions between …Junbo Zhang#, Yu Zheng, Junkai Sun, Dekang QiPDF Cite Project Project DOIFlow Prediction in Spatio-Temporal Networks Based on Multitask Deep LearningPredicting flows (e.g. the traffic of vehicles, crowds and bikes), consisting of the in-out traffic at a node and transitions between …Junbo Zhang#, Yu Zheng, Junkai Sun, Dekang QiPDF Cite Project Project DOIPredicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual NetworksAI 2018Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui LiPDF Cite Project Project DOI ArticleDeep Spatio-Temporal Residual Networks for Citywide Crowd Flows PredictionWe proposed a deep-learning-based approach, called ST-ResNet, to collectively forecast the inflow and outflow of crowds in each and every region of a city.Junbo Zhang, Yu Zheng, Dekang QiPDF Cite Code Dataset Project Project DOI Ranked 4th in AAAI 2017
