Dongkun Zhang - RankMe

27 papers A* 3A 3Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	$\pi$-BA: Probabilistic Neural Bundle Adjustment With Iterative Cycle Optimization for Driving Scene Reconstruction. IEEE Robotics Autom. Lett. Yunxuan Mao, Dongkun Zhang, Lilu Liu, Yue Wang, Rong Xiong
2025	A*	`conf`	CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-Scale Reinforcement Learning in Autonomous Driving. CVPR Dongkun Zhang, Jiaming Liang, Ke Guo, Sha Lu, Qi Wang, Rong Xiong, Zhenwei Miao, Yue Wang
2025	J	`jnl`	CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving. CoRR Dongkun Zhang, Jiaming Liang, Ke Guo, Sha Lu, Qi Wang, Rong Xiong, Zhenwei Miao, Yue Wang
2025	J	`jnl`	RING#: PR-By-PE Global Localization With Roto-Translation Equivariant Gram Learning. IEEE Trans. Robotics Sha Lu, Xuecheng Xu, Dongkun Zhang, Yuxuan Wu, Haojian Lu, Xieyuanli Chen, Rong Xiong, Yue Wang
2024	A	`conf`	Efficient Global Trajectory Planning for Multi-robot System with Affinely Deformable Formation. IROS Hao Sha, Yuxiang Cui, Wangtao Lu, Dongkun Zhang, Chaoqun Wang, Jun Wu, Rong Xiong, Yue Wang
2024	J	`jnl`	Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights. IEEE Robotics Autom. Lett. 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
2024	J	`jnl`	PEP: Policy-Embedded Trajectory Planning for Autonomous Driving. IEEE Robotics Autom. Lett. Dongkun Zhang, Jiaming Liang, Sha Lu, Ke Guo, Qi Wang, Rong Xiong, Zhenwei Miao, Yue Wang
2023	A	`conf`	A Two-Stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System. IROS Jintao Xue, Dongkun Zhang, Rong Xiong, Yue Wang, Eryun Liu
2023	J	`jnl`	A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System. CoRR Jintao Xue, Dongkun Zhang, Rong Xiong, Yue Wang, Eryun Liu
2023	J	`jnl`	Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow. CoRR Dongkun Zhang, Jintao Xue, Yuxiang Cui, Yunkai Wang, Eryun Liu, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang
2022	A*	`conf`	Domain Generalization for Vision-based Driving Trajectory Generation. ICRA Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang
2022	A*	`conf`	Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. ICRA Yuxiang Cui, Longzhong Lin, Xiaolong Huang, Dongkun Zhang, Yunkai Wang, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang
2021	J	`jnl`	Domain Generalization for Vision-based Driving Trajectory Generation. CoRR Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang
2021	J	`jnl`	Imitation Learning of Hierarchical Driving Model: From Continuous Intention to Continuous Trajectory. IEEE Robotics Autom. Lett. Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yuehua Li, Yue Wang, Rong Xiong
2021	J	`jnl`	Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. CoRR Yuxiang Cui, Longzhong Lin, Xiaolong Huang, Dongkun Zhang, Yue Wang, Rong Xiong
2020	J	`jnl`	Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory. CoRR Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yue Wang, Rong Xiong
2020	A	`conf`	Learning hierarchical behavior and motion planning for autonomous driving. IROS Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong
2020	J	`jnl`	Learning hierarchical behavior and motion planning for autonomous driving. CoRR Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong
2020	J	`jnl`	Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks. SIAM J. Sci. Comput. Dongkun Zhang, Ling Guo, George Em Karniadakis
2020	J	`jnl`	Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations. SIAM J. Sci. Comput. Liu Yang, Dongkun Zhang, George Em Karniadakis
2019	J	`jnl`	Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks. CoRR Dongkun Zhang, Ling Guo, George E. Karniadakis
2019	J	`jnl`	PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs. CoRR Xuhui Meng, Zhen Li, Dongkun Zhang, George Em Karniadakis
2019	J	`jnl`	Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems. J. Comput. Phys. Dongkun Zhang, Lu Lu, Ling Guo, George Em Karniadakis
2018	J	`jnl`	Bi-directional coupling between a PDE-domain and an adjacent Data-domain equipped with multi-fidelity sensors. J. Comput. Phys. Dongkun Zhang, Liu Yang, George E. Karniadakis
2018	J	`jnl`	Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations. CoRR Liu Yang, Dongkun Zhang, George E. Karniadakis
2018	J	`jnl`	Stochastic Domain Decomposition via Moment Minimization. SIAM J. Sci. Comput. Dongkun Zhang, Hessam Babaee, George E. Karniadakis
2017	J	`jnl`	An Atomistic Fingerprint Algorithm for Learning Ab Initio Molecular Force Fields. CoRR Yu-Hang Tang, Dongkun Zhang, George E. Karniadakis