Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Z. Cui, K. Henrickson, R. Ke, Z. Pu, and Y. Wang. (2018)cite arxiv:1802.07007.

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ruimin Huang

Ruimin Shen

Ruimin Wang

Ruimin Shen

Ke Li

Other publications of authors with the same name

Identifying the urban transportation corridor based on mobile phone data.Y. Wang, L. Li, J. Yu, Z. Li, S. Wang, and R. Ke. ISC2, page 1-6. IEEE, (2015)Posture Calibration Based Cross-View & Hard-Sensitive Metric Learning for UAV-Based Vehicle Re-Identification.C. Liu, Y. Song, F. Chang, S. Li, R. Ke, and Y. Wang. IEEE Trans. Intell. Transp. Syst., 23 (10): 19246-19257 (2022)Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction.Z. Cui, R. Ke, and Y. Wang. CoRR, (2018)Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging.R. Ke, Z. Cui, Y. Chen, M. Zhu, H. Yang, Y. Zhuang, and Y. Wang. IEEE Trans. Intell. Veh., 8 (4): 2737-2747 (April 2023)Motion-vector clustering for traffic speed detection from UAV video.R. Ke, S. Kim, Z. Li, and Y. Wang. ISC2, page 1-5. IEEE, (2015)A Cost-Effective Framework for Automated Vehicle-Pedestrian Near-Miss Detection Through Onboard Monocular Vision.R. Ke, J. Lutin, J. Spears, and Y. Wang. CVPR Workshops, page 898-905. IEEE Computer Society, (2017)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and ForecastingZ. Cui, K. Henrickson, R. Ke, Z. Pu, and Y. Wang. (2018)cite arxiv:1802.07007.Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme.C. Liu, H. Yang, R. Ke, and Y. Wang. IEEE Trans. Intell. Transp. Syst., 23 (12): 23311-23323 (2022)High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting.Z. Cui, K. Henrickson, R. Ke, and Y. Wang. CoRR, (2018)Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact.R. Ke, W. Li, Z. Cui, and Y. Wang. CoRR, (2019)

BibSonomy

Disambiguation of "Ke, Ruimin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Please choose a person to relate this publication to

Ruimin Huang

Ruimin Shen

Ruimin Wang

Ruimin Shen

Ke Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ke, Ruimin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Please choose a person to relate this publication to

Ruimin Huang

Ruimin Shen

Ruimin Wang

Ruimin Shen

Ke Li

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting