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

Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario.

Z. Li, C. Gong, C. Lu, J. Gong, J. Lu, Y. Xu, and F. Hu. IV, page 193-200. IEEE, (2019)

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.

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Zheng Li University of Stuttgart

Jie Li University of Stuttgart

Li Zhong University of Stuttgart

Other publications of authors with the same name

Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario.Z. Li, C. Gong, C. Lu, J. Gong, J. Lu, Y. Xu, and F. Hu. IV, page 193-200. IEEE, (2019)SMCA-CNN: Learning a Semantic Mask and Cross-Scale Adaptive Feature for Robust Crowd Counting.G. Wang, Y. Zou, Z. Li, and D. Yang. IEEE Access, (2019)Development and Evaluation of Two Learning-Based Personalized Driver Models for Pure Pursuit Path-Tracking Behaviors.Z. Li, B. Wang, J. Gong, T. Gao, C. Lu, and G. Wang. Intelligent Vehicles Symposium, page 79-84. IEEE, (2018)Virtual-to-Real Knowledge Transfer for Driving Behavior Recognition: Framework and a Case Study.C. Lu, F. Hu, D. Cao, J. Gong, Y. Xing, and Z. Li. IEEE Trans. Vehicular Technology, 68 (7): 6391-6402 (2019)Modeling of the Human Orbit from MR Images.Z. Li, C. Chui, Y. Cai, S. Amrith, P. Goh, J. Anderson, J. Teo, C. Liu, I. Kusuma, Y. Siow and 1 other author(s). MICCAI (2), volume 2489 of Lecture Notes in Computer Science, page 339-347. Springer, (2002)Personalized Driver Braking Behavior Modeling in the Car-Following Scenario: An Importance-Weight-Based Transfer Learning Approach.Z. Li, J. Gong, C. Lu, and J. Li. IEEE Trans. Ind. Electron., 69 (10): 10704-10714 (2022)Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.Q. Liu, Z. Li, X. Li, J. Wu, and S. Yuan. CoRR, (2022)Choosing Transfer Languages for Cross-Lingual Learning.Y. Lin, C. Chen, J. Lee, Z. Li, Y. Zhang, M. Xia, S. Rijhwani, J. He, Z. Zhang, X. Ma and 3 other author(s). ACL (1), page 3125-3135. Association for Computational Linguistics, (2019)From perception to control: an autonomous driving system for a formula student driverless car.T. Chen, Z. Li, Y. He, Z. Xu, Z. Yan, and H. Li. CoRR, (2019)Towards a General-Purpose Linguistic Annotation Backend.G. Neubig, P. Littell, C. Chen, J. Lee, Z. Li, Y. Lin, and Y. Zhang. CoRR, (2018)

PUMA

Disambiguation of "Li, Zirui"

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

Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario.

Please choose a person to relate this publication to

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Zheng Li University of Stuttgart

Jie Li University of Stuttgart

Li Zhong University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Li, Zirui"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario.

Please choose a person to relate this publication to

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Zheng Li University of Stuttgart

Jie Li University of Stuttgart

Li Zhong University of Stuttgart

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

Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario.