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Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning
KDD 2022
Jiahao Ji*, Jingyuan Wang, Junjie Wu, Boyang Han, Junbo Zhang, Yu Zheng
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Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning
Multi-Memory enhanced Separation Network for Indoor Temperature Prediction
DASFAA 2022
Zhewen Duan, Xiuwen Yi, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng
PDF Project
Multi-Memory enhanced Separation Network for Indoor Temperature Prediction
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph
WWW 2021
Zheyi Pan*, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang#, Yu Zheng
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AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph
Fine-grained Urban Flow Prediction
WWW 2021
Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S.Rosenblum, Roger Zimmermann
PDF Project Project
Fine-grained Urban Flow Prediction
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
AAAI 2021
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
PDF Project DOI
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users
CIKM 2020, Applied Research Track
Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li
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You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users
AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction
[ORAL] KDD 2020, Research Track (acceptance rate: 16.8%)
Ting Li, Junbo Zhang#, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng
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AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics
ECML-PKDD 2020
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum
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Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics
CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach
UbiComp 2020
Qianru Wang*, Junbo Zhang#, Bin Guo, Zexia Hao, Yifang Zhou, Junkai Sun, Zhiwen Yu, Yu Zheng
PDF Project
CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction
CIKM 2019, Applied Research Track (acceptance rate: 21.8%)
Zheyi Pan*, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang#, Yu Zheng
PDF Code Project Project
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction