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Dongkun Zhang
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2020 – today
- 2024
- [j7]Yunkai Wang
, Quyu Kong, He Zhu, Dongkun Zhang, Longzhong Lin
Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights. IEEE Robotics Autom. Lett. 9(9): 7915-7922 (2024) - 2023
- [c4]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: 5507-5513 - [i10]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 abs/2304.12821 (2023) - [i9]Jintao Xue, Dongkun Zhang, Rong Xiong, Yue Wang, Eryun Liu:
A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System. CoRR abs/2310.03303 (2023) - 2022
- [c3]Yuxiang Cui, Longzhong Lin, Xiaolong Huang, Dongkun Zhang, Yunkai Wang, Wei Jing, Junbo Chen
Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. ICRA 2022: 5518-5524 - [c2]Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen
Domain Generalization for Vision-based Driving Trajectory Generation. ICRA 2022: 8950-8956 - 2021
- [j6]Yunkai Wang
Imitation Learning of Hierarchical Driving Model: From Continuous Intention to Continuous Trajectory. IEEE Robotics Autom. Lett. 6(2): 2477-2484 (2021) - [i8]Yuxiang Cui, Longzhong Lin, Xiaolong Huang, Dongkun Zhang, Yue Wang, Rong Xiong:
Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. CoRR abs/2109.07760 (2021) - [i7]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 abs/2109.13858 (2021) - 2020
- [j5]Liu Yang
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations. SIAM J. Sci. Comput. 42(1): A292-A317 (2020) - [j4]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): A639-A665 (2020) - [c1]Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong:
Learning hierarchical behavior and motion planning for autonomous driving. IROS 2020: 2235-2242 - [i6]Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong:
Learning hierarchical behavior and motion planning for autonomous driving. CoRR abs/2005.03863 (2020) - [i5]Yunkai Wang
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory. CoRR abs/2010.10393 (2020)
2010 – 2019
- 2019
- [j3]Dongkun Zhang, Lu Lu
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems. J. Comput. Phys. 397 (2019) - [i4]Dongkun Zhang, Ling Guo, George E. Karniadakis:
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks. CoRR abs/1905.01205 (2019) - [i3]Xuhui Meng, Zhen Li, Dongkun Zhang, George Em Karniadakis:
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs. CoRR abs/1909.10145 (2019) - 2018
- [j2]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: 121-134 (2018) - [j1]Dongkun Zhang, Hessam Babaee, George E. Karniadakis:
Stochastic Domain Decomposition via Moment Minimization. SIAM J. Sci. Comput. 40(4): A2152-A2173 (2018) - [i2]Liu Yang, Dongkun Zhang, George E. Karniadakis:
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations. CoRR abs/1811.02033 (2018) - 2017
- [i1]Yu-Hang Tang, Dongkun Zhang, George E. Karniadakis:
An Atomistic Fingerprint Algorithm for Learning Ab Initio Molecular Force Fields. CoRR abs/1709.09235 (2017)
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