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

Addressing the Task of Rocket Recycling with Deep Reinforcement Learning.

G. Jin, J. Huang, Y. Feng, G. Cheng, Z. Liu, and Q. Wang. ICIT, page 284-290. ACM, (2018)

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.

Xuezhou Jin

Shangde Jin

Chunxiao Jing

Martin Jínek

Fangyi Jin

Other publications of authors with the same name

Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss.G. Jin, Q. Wang, X. Zhao, Y. Feng, Q. Cheng, and J. Huang. IEEE BigData, page 1460-1469. IEEE, (2019)A Deep Urban Hotspots Prediction Framework with Modeling Geography-Semantic Dynamics.H. Sha, G. Jin, G. Cheng, J. Huang, and K. Huang. SpatialDI, volume 12753 of Lecture Notes in Computer Science, page 3-14. Springer, (2021)Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction.F. Li, H. Yan, G. Jin, Y. Liu, Y. Li, and D. Jin. CIKM, page 1084-1093. ACM, (2022)SDPN: A Neural Network Approach for E-hailing Car Supply and Demand Prediction.G. Jin, C. Zhu, Y. Feng, J. Huang, G. Chen, and Z. Du. BDET, page 63-66. ACM, (2020)Jointly Modeling Intersections and Road Segments for Travel Time Estimation via Dual Graph Convolutional Networks.H. Yan, G. Jin, D. Wang, Y. Liu, and Y. Li. SpatialDI, volume 13614 of Lecture Notes in Computer Science, page 19-34. Springer, (2022)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, and J. Qi. Int. J. Gen. Syst., 52 (6): 694-721 (August 2023)Urban hotspot forecasting via automated spatio-temporal information fusion.G. Jin, H. Sha, Z. Xi, and J. Huang. Appl. Soft Comput., (March 2023)Addressing the Task of Rocket Recycling with Deep Reinforcement Learning.G. Jin, J. Huang, Y. Feng, G. Cheng, Z. Liu, and Q. Wang. ICIT, page 284-290. ACM, (2018)Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction.G. Jin, Z. Xi, H. Sha, Y. Feng, and J. Huang. CoRR, (2020)Hierarchical Neural Architecture Search for Travel Time Estimation.G. Jin, H. Yan, F. Li, Y. Li, and J. Huang. SIGSPATIAL/GIS, page 91-94. ACM, (2021)

BibSonomy

Disambiguation of "Jin, Guangyin"

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

Addressing the Task of Rocket Recycling with Deep Reinforcement Learning.

Please choose a person to relate this publication to

Xuezhou Jin

Shangde Jin

Chunxiao Jing

Martin Jínek

Fangyi Jin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jin, Guangyin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Addressing the Task of Rocket Recycling with Deep Reinforcement Learning.

Please choose a person to relate this publication to

Xuezhou Jin

Shangde Jin

Chunxiao Jing

Martin Jínek

Fangyi Jin

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

Addressing the Task of Rocket Recycling with Deep Reinforcement Learning.