Dongkun Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Autonomous Driving

Grand Challenge

Stochastic Differential Equations

Top Venues

SIAM J. Sci. Comput.

IEEE Robotics Autom. Lett.

Publications

Yunkai Wang, Quyu Kong, He Zhu, Dongkun Zhang, Longzhong Lin, Hao Sha, Xunlong Xia, Qiao Liang, Bing Deng, Ken Chen, Rong Xiong, Yue Wang, Jieping Ye
Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights. IEEE Robotics Autom. Lett. 9 (9) (2024)
Dongkun Zhang, Jintao Xue, Yuxiang Cui, Yunkai Wang, Eryun Liu, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow. CoRR (2023)
Jintao Xue, Dongkun Zhang, Rong Xiong, Yue Wang, Eryun Liu
A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System. CoRR (2023)
Jintao Xue, Dongkun Zhang, Rong Xiong, Yue Wang, Eryun Liu
A Two-Stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System. IROS (2023)
Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang
Domain Generalization for Vision-based Driving Trajectory Generation. ICRA (2022)
Yuxiang Cui, Longzhong Lin, Xiaolong Huang, Dongkun Zhang, Yunkai Wang, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang
Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. ICRA (2022)
Yuxiang Cui, Longzhong Lin, Xiaolong Huang, Dongkun Zhang, Yue Wang, Rong Xiong
Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. CoRR (2021)
Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang
Domain Generalization for Vision-based Driving Trajectory Generation. CoRR (2021)
Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yuehua Li, Yue Wang, Rong Xiong
Imitation Learning of Hierarchical Driving Model: From Continuous Intention to Continuous Trajectory. IEEE Robotics Autom. Lett. 6 (2) (2021)
Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yue Wang, Rong Xiong
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory. CoRR (2020)
Liu Yang, Dongkun Zhang, George Em Karniadakis
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations. SIAM J. Sci. Comput. 42 (1) (2020)
Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong
Learning hierarchical behavior and motion planning for autonomous driving. CoRR (2020)
Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong
Learning hierarchical behavior and motion planning for autonomous driving. IROS (2020)
Dongkun Zhang, Ling Guo, George Em Karniadakis
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks. SIAM J. Sci. Comput. 42 (2) (2020)
Xuhui Meng, Zhen Li, Dongkun Zhang, George Em Karniadakis
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs. CoRR (2019)
Dongkun Zhang, Ling Guo, George E. Karniadakis
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks. CoRR (2019)
Dongkun Zhang, Lu Lu, Ling Guo, George Em Karniadakis
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems. J. Comput. Phys. 397 (2019)
Dongkun Zhang, Liu Yang, George E. Karniadakis
Bi-directional coupling between a PDE-domain and an adjacent Data-domain equipped with multi-fidelity sensors. J. Comput. Phys. 374 (2018)
Dongkun Zhang, Hessam Babaee, George E. Karniadakis
Stochastic Domain Decomposition via Moment Minimization. SIAM J. Sci. Comput. 40 (4) (2018)
Liu Yang, Dongkun Zhang, George E. Karniadakis
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations. CoRR (2018)
Yu-Hang Tang, Dongkun Zhang, George E. Karniadakis
An Atomistic Fingerprint Algorithm for Learning Ab Initio Molecular Force Fields. CoRR (2017)