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Junbo Zhang（张钧波）
Junbo Zhang（张钧波）
JD Intelligent Cities Research | JD Technology
Verified email at jd.com - Homepage
Title
Cited by
Cited by
Year
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
J Zhang, Y Zheng, D Qi
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
24722017
DNN-based prediction model for spatio-temporal data
J Zhang, Y Zheng, D Qi, R Li, X Yi
Proceedings of the 24th ACM SIGSPATIAL international conference on advances …, 2016
8312016
Urban traffic prediction from spatio-temporal data using deep meta learning
Z Pan, Y Liang, W Wang, Y Yu, Y Zheng, J Zhang
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
5882019
Geoman: Multi-level attention networks for geo-sensory time series prediction.
Y Liang, S Ke, J Zhang, X Yi, Y Zheng
IJCAI 2018, 3428-3434, 2018
5792018
Predicting citywide crowd flows using deep spatio-temporal residual networks
J Zhang, Y Zheng, D Qi, R Li, X Yi, T Li
Artificial Intelligence 259, 147-166, 2018
5162018
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks
D Wang, J Zhang, W Cao, J Li, Y Zheng
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018
4252018
Deep distributed fusion network for air quality prediction
X Yi, J Zhang, Z Wang, T Li, Y Zheng
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
3702018
Flow prediction in spatio-temporal networks based on multitask deep learning
J Zhang, Y Zheng, J Sun, D Qi
IEEE Transactions on Knowledge and Data Engineering 32 (3), 468-478, 2019
3372019
Urban flow prediction from spatiotemporal data using machine learning: A survey
P Xie, T Li, J Liu, S Du, X Yang, J Zhang
Information Fusion 59, 1-12, 2020
2912020
Predicting citywide crowd flows in irregular regions using multi-view graph convolutional networks
J Sun, J Zhang, Q Li, X Yi, Y Liang, Y Zheng
IEEE Transactions on Knowledge and Data Engineering, 2020
2402020
Multi-source information fusion based on rough set theory: A review
P Zhang, T Li, G Wang, C Luo, H Chen, J Zhang, D Wang, Z Yu
Information Fusion 68, 85-117, 2021
2322021
Spatio-temporal graph neural networks for predictive learning in urban computing: A survey
G Jin, Y Liang, Y Fang, Z Shao, J Huang, J Zhang, Y Zheng
IEEE Transactions on Knowledge and Data Engineering, 2023
2292023
ST-MVL: Filling Missing Values in Geo-sensory Time Series Data
X Yi, Y Zheng, J Zhang, T Li
2142016
A fuzzy rough set approach for incremental feature selection on hybrid information systems
A Zeng, T Li, D Liu, J Zhang, H Chen
Fuzzy Sets and Systems 258, 39-60, 2015
2142015
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
X Zhang, C Huang, Y Xu, L Xia, P Dai, L Bo, J Zhang, Y Zheng
The 35th AAAI Conference, 2021
2132021
Federated Forest
Y Liu, Y Liu, Z Liu, J Zhang, C Meng, Y Zheng
IEEE Transactions on Big Data, 2020
2102020
Composite rough sets for dynamic data mining
J Zhang, T Li, H Chen
Information Sciences, 2014
2002014
DeepCrime: Attentive hierarchical recurrent networks for crime prediction
C Huang, J Zhang, Y Zheng, NV Chawla
Proceedings of the 27th ACM international conference on information and …, 2018
1822018
Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems
J Zhang, T Li, D Ruan, D Liu
International Journal of Approximate Reasoning 53 (4), 620-635, 2012
1812012
Spatio-temporal self-supervised learning for traffic flow prediction
J Ji, J Wang, C Huang, J Wu, B Xu, Z Wu, J Zhang, Y Zheng
Proceedings of the AAAI conference on artificial intelligence 37 (4), 4356-4364, 2023
1672023
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