An Atomistic Fingerprint Algorithm for Learning Ab Initio Molecular Force Fields. - Yu-Hang Tang; Dongkun Zhang; George E. Karniadakis (CoRR, 2017)

Bi-directional coupling between a PDE-domain and an adjacent Data-domain equipped with multi-fidelity sensors. - Dongkun Zhang; Liu Yang; George E. Karniadakis (J. Comput. Phys., 2018)

Stochastic Domain Decomposition via Moment Minimization. - Dongkun Zhang; Hessam Babaee; George E. Karniadakis (SIAM J. Sci. Comput., 2018)

PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs. - Xuhui Meng; Zhen Li 003; Dongkun Zhang; George Em Karniadakis (CoRR, 2019)

Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems. - Dongkun Zhang; Lu Lu 010; Ling Guo; George Em Karniadakis (J. Comput. Phys., 2019)

Learning hierarchical behavior and motion planning for autonomous driving. - Jingke Wang; Yue Wang 020; Dongkun Zhang; Yezhou Yang; Rong Xiong (IROS, 2020)

Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory. - Yunkai Wang; Dongkun Zhang; Jingke Wang; Zexi Chen; Yue Wang 020; Rong Xiong (CoRR, 2020)

Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations. - Liu Yang; Dongkun Zhang; George Em Karniadakis (SIAM J. Sci. Comput., 2020)

Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks. - Dongkun Zhang; Ling Guo; George Em Karniadakis (SIAM J. Sci. Comput., 2020)

Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. - Yuxiang Cui; Longzhong Lin; Xiaolong Huang; Dongkun Zhang; Yue Wang 020; Rong Xiong (CoRR, 2021)

Imitation Learning of Hierarchical Driving Model: From Continuous Intention to Continuous Trajectory. - Yunkai Wang; Dongkun Zhang; Jingke Wang; Zexi Chen; Yuehua Li; Yue Wang 020; Rong Xiong (IEEE Robotics Autom. Lett., 2021)

Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. - Yuxiang Cui; Longzhong Lin; Xiaolong Huang; Dongkun Zhang; Yunkai Wang; Wei Jing; Junbo Chen; Rong Xiong; Yue Wang 020 (ICRA, 2022)

Domain Generalization for Vision-based Driving Trajectory Generation. - Yunkai Wang; Dongkun Zhang; Yuxiang Cui; Zexi Chen; Wei Jing; Junbo Chen; Rong Xiong; Yue Wang 020 (ICRA, 2022)

A Two-Stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System. - Jintao Xue; Dongkun Zhang; Rong Xiong; Yue Wang 020; Eryun Liu (IROS, 2023)

Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow. - Dongkun Zhang; Jintao Xue; Yuxiang Cui; Yunkai Wang; Eryun Liu; Wei Jing; Junbo Chen; Rong Xiong; Yue Wang 020 (CoRR, 2023)

Efficient Global Trajectory Planning for Multi-robot System with Affinely Deformable Formation. - Hao Sha; Yuxiang Cui; Wangtao Lu; Dongkun Zhang; Chaoqun Wang 009; Jun Wu 003; Rong Xiong; Yue Wang 020 (IROS, 2024)

Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights. - Yunkai Wang; Quyu Kong; He Zhu; Dongkun Zhang; Longzhong Lin; Hao Sha; Xunlong Xia; Qiao Liang 002; Bing Deng; Ken Chen 005; Rong Xiong; Yue Wang 020; et al. (IEEE Robotics Autom. Lett., 2024)

PEP: Policy-Embedded Trajectory Planning for Autonomous Driving. - Dongkun Zhang; Jiaming Liang; Sha Lu; Ke Guo; Qi Wang 056; Rong Xiong; Zhenwei Miao; Yue Wang 020 (IEEE Robotics Autom. Lett., 2024)

CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-Scale Reinforcement Learning in Autonomous Driving. - Dongkun Zhang; Jiaming Liang; Ke Guo; Sha Lu; Qi Wang 056; Rong Xiong; Zhenwei Miao; Yue Wang 020 (CVPR, 2025)

RING#: PR-By-PE Global Localization With Roto-Translation Equivariant Gram Learning. - Sha Lu; Xuecheng Xu; Dongkun Zhang; Yuxuan Wu; Haojian Lu; Xieyuanli Chen; Rong Xiong; Yue Wang 020 (IEEE Trans. Robotics, 2025)