Urban FlowLast updated on Aug 18, 2024Using a diversity of big data and deep learning techniques to predict citywide crowd/traffic flows throughout a city.Urban ComputingSenior ResearcherMy research interests include deep learning, data mining, AI, big data analytics, and urban computing.RelatedSpatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A SurveyPredicting Fine-Grained Air Quality Based on Deep Neural NetworksCross-Domain Data FusionPublicationsA 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 ArticleUrban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embeddingIEEE TKDEJia Liu, Tianrui Li, Shenggong Ji, Peng Xie, Shengdong Du, Fei Teng, Junbo ZhangPDF Cite Project ProjectFine-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 SlidesFlow 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 DOIUrban 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 VideoPredicting 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 Cited over 2,000
