Publications

[TKDE'21] Gas-Theft Suspect Detection among Boiler Room Users: A Data-Driven Approach.
Xiuwen Yi, Xiaodu Yang, Yanyong Huang, Songyu Ke, Junbo Zhang, Tianrui Li, Yu Zheng.
IEEE Transactions on Knowledge and Data Engineering, 2021.

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[WWW'21] Fine-grained Urban Flow Prediction.
Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S.Rosenblum, Roger Zimmermann.
In Proceedings of The Web Conference 2021 (WWW'21).

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[WWW'21] AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph.
Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang#, Yu Zheng.
In Proceedings of The Web Conference 2021 (WWW'21).

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[AAAI'21] Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng.
In Proceedings of the 35th AAAI Conference.

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[IEEE IntSys'20] Federated Digital Gateway: Methodologies, Tools and Applications.
Yang Liu, Ruolan Wang, Shishuai Du, Junbo Zhang, Yu Zheng.
IEEE Intelligent Systems, 2020.

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[CIKM'20] You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users.
Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li.
In Proceedings of The 29th ACM International Conference on Information and Knowledge Management.

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[TKDE'20] Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng.
IEEE Transactions on Knowledge and Data Engineering, 2020.

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[ECML-PKDD'20] Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum.
In Proceedings of ECML-PKDD 2020.

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[KDD'20] AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction.
Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng.
In Proceedings of The 26th ACM SIGKDD international conference on Knowledge Discovery and Data Mining, 2020.

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[TKDE'20] Spatio-Temporal Meta Learning for Urban Traffic Prediction.
Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng.
IEEE Transactions on Knowledge and Data Engineering, 2020.

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[TBD'20] Federated Forest.
Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng.
IEEE Transactions on Big Data, 2020.

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[InfFus] Predicting and ranking box office revenue of movies based on big data.
Zhaoyuan Wang, Junbo Zhang, Shenggong Ji, Chuishi Meng, Tianrui Li, Yu Zheng.
Information Fusion, 2020.

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[InfFus] Urban flow prediction from spatiotemporal data using machine learning: A survey.
Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang.
Information Fusion, 2020.

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[ACM UbiComp'20] CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach.
Qianru Wang, Junbo Zhang, Bin Guo, Zexia Hao, Yifang Zhou, Junkai Sun, Zhiwen Yu, Yu Zheng.
In Proceedings of The 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing.

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[CIKM'19] Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction.
Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng.
In Proceedings of The 28th ACM International Conference on Information and Knowledge Management.

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[CIKM'19] CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach.
Xiuwen Yi, Zhewen Duan, Ting Li, Junbo Zhang, Tianrui Li, Yu Zheng.
In Proceedings of The 28th ACM International Conference on Information and Knowledge Management.

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[KDD'19] UrbanFM: Inferring Fine-Grained Urban Flows.
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng.
In Proceedings of The 25th ACM SIGKDD international conference on Knowledge Discovery and Data Mining.

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[KDD'19] Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning.
Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang.
In Proceedings of The 25th ACM SIGKDD international conference on Knowledge Discovery and Data Mining.

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[ACL'19] DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction.
Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang.
In Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics.

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[TKDE'20] Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning.
Junbo Zhang, Yu Zheng, Junkai Sun, Dekang Qi.
IEEE Transactions on Knowledge and Data Engineering, 2020.

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[CIKM'18] DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction.
Chao Huang, Junbo Zhang, Yu Zheng, Nitesh V. Chawla.
In Proceedings of The 27th ACM International Conference on Information and Knowledge Management.

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[KDD'18] Deep Distributed Fusion Network for Air Quality Prediction.
Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng.
In Proceedings of The 24th ACM SIGKDD international conference on Knowledge Discovery and Data Mining.

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[IJCAI'18] GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.
Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng.
In Proceedings of The 27th International Joint Conference on Artificial Intelligence.

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[AI'18] Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks.
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li.
Artificial Intelligence, 2018.

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[AAAI'18] When Will You Arrive Estimating Travel Time Based on Deep Neural Networks.
Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng.
In Proceedings of Thirty-Second AAAI Conference on Artificial Intelligence.

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[AAAI'17] Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction.
Junbo Zhang, Yu Zheng, Dekang Qi.
In Proceedings of The 31st AAAI Conference on Artificial Intelligence.

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[ACM SIGSPATIAL'16] DNN-Based Prediction Model for Spatial-Temporal Data.
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi.
In Proceedings of The 24th ACM International Conference on Advances in Geographical Information Systems.

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[InfSci'16] Efficient parallel boolean matrix based algorithms for computing composite rough set approximations.
Junbo Zhang, Yun Zhu, Yi Pan, Tianrui Li.
Information Sciences, 2016.

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[TKDE'15] A Parallel Matrix-based Method for Computing Approximations in Incomplete Information Systems.
Junbo Zhang, Jian-Syuan Wong, Yi Pan, Tianrui Li.
IEEE Transactions on Knowledge and Data Engineering, 2015.

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[KDD'14] Supervised Deep Learning with Auxiliary Networks.
Junbo Zhang, Guangjian Tian, Yadong Mu, Wei Fan.
In Proceedings of The 20th ACM SIGKDD international conference on Knowledge Discovery and Data Mining, 2014.

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[InfSci'14] Composite rough sets for dynamic data mining.
Junbo Zhang, Tianrui Li, Hongmei Chen.
Information Sciences, 2014.

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