Takip et
Guangyin Jin
Guangyin Jin
Diğer adlar金广垠
National Innovative Institude of Defense Technology
njust.ac.cn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Dynamic graph convolutional recurrent network for traffic prediction: Benchmark and solution
F Li, J Feng, H Yan, G Jin, F Yang, F Sun, D Jin, Y Li
ACM Transactions on Knowledge Discovery from Data 17 (1), 1-21, 2023
4372023
Spatio-temporal graph neural networks for predictive learning in urban computing: A survey
G Jin, Y Liang, Y Fang, J Huang, J Zhang, Y Zheng
IEEE Transactions on Knowledge and Data Engineering, 2023
2312023
Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network
G Jin, Y Cui, L Zeng, H Tang, Y Feng, J Huang
Transportation Research Part C: Emerging Technologies 117, 102665, 2020
1262020
STGNN-TTE: Travel time estimation via spatial–temporal graph neural network
G Jin, M Wang, J Zhang, H Sha, J Huang
Future Generation Computer Systems 126, 70-81, 2022
782022
Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction
G Jin, F Li, J Zhang, M Wang, J Huang
IEEE Transactions on Intelligent Transportation Systems 24 (8), 8820-8830, 2022
552022
Addressing crime situation forecasting task with temporal graph convolutional neural network approach
G Jin, Q Wang, C Zhu, Y Feng, J Huang, J Zhou
2020 12th International Conference on Measuring Technology and Mechatronics …, 2020
552020
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Z Shao, F Wang, Y Xu, W Wei, C Yu, Z Zhang, D Yao, G Jin, X Cao, ...
IEEE Transactions on Knowledge and Data Engineering, 2023
532023
CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale
Q Wang, G Jin, X Zhao, Y Feng, J Huang
Knowledge-Based Systems 189 (105120), 2020
532020
Deep multi-view graph-based network for citywide ride-hailing demand prediction
G Jin, Z Xi, H Sha, Y Feng, J Huang
Neurocomputing 510, 79-94, 2022
48*2022
Deep spatio-temporal adaptive 3d convolutional neural networks for traffic flow prediction
H Li, X Li, L Su, G Jin, J Huang, D Huang
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-21, 2022
442022
Detection and analysis of real-time anomalies in large-scale complex system
S Chen, G Jin, X Ma
Measurement 184, 109929, 2021
412021
GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction
G Jin, H Sha, Y Feng, Q Cheng, J Huang
Neurocomputing 455, 353-367, 2021
33*2021
A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems
J Zhang, H Li, S Zhang, L Yang, G Jin, J Qi
International Journal of General Systems, 1-28, 2023
32*2023
Adaptive Dual-View WaveNet for urban spatial–temporal event prediction
G Jin, C Liu, Z Xi, H Sha, Y Liu, J Huang
Information Sciences 588, 315-330, 2022
322022
Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics
G Jin, Q Wang, C Zhu, Y Feng, J Huang, X Hu
Applied Soft Computing 97, 106730, 2020
302020
Automated spatio-temporal synchronous modeling with multiple graphs for traffic prediction
F Li, H Yan, G Jin, Y Liu, Y Li, D Jin
Proceedings of the 31st ACM International Conference on Information …, 2022
272022
Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation
G Jin, H Yan, F Li, J Huang, Y Li
ACM Transactions on Spatial Algorithms and Systems, 2023
26*2023
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
G Jin, L Liu, F Li, J Huang
Proceedings of the 37th AAAI Conference on Artificial Intelligence 37 (12 …, 2023
252023
Ufsp-net: a neural network with spatio-temporal information fusion for urban fire situation prediction
G Jin, C Zhu, X Chen, H Sha, X Hu, J Huang
IOP Conference Series: Materials Science and Engineering 853 (1), 012050, 2020
222020
Crime-GAN: A context-based sequence generative network for crime forecasting with adversarial loss
G Jin, Q Wang, X Zhao, Y Feng, Q Cheng, J Huang
2019 IEEE International Conference on Big Data (Big Data), 1460-1469, 2019
212019
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