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2020 – today
- 2026
[j10]Chen Chen
, Zhipeng Liu, Weiqiang Liang, Mingming Wang, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li:
PODAR: A Collision Risk Model Offering Valid Signals for Vehicular Interactions. IEEE Intell. Transp. Syst. Mag. 18(1): 6-26 (2026)- [j9]Guojian Zhan, Xiangteng Zhang, Feihong Zhang, Letian Tao, Shengbo Eben Li:
Bicriteria Policy Optimization for High-Accuracy Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 37(1): 312-326 (2026) - [i17]Pengcheng Wang, Qinghang Liu, Haotian Lin, Yiheng Li, Guojian Zhan, Masayoshi Tomizuka, Yixiao Wang:
DADP: Domain Adaptive Diffusion Policy. CoRR abs/2602.04037 (2026) - 2025
- [j8]Guojian Zhan, Xin An, Yuxuan Jiang, Jingliang Duan, Huichan Zhao, Shengbo Eben Li:
Physics Informed Neural Pose Estimation for Real-Time Shape Reconstruction of Soft Continuum Robots. IEEE Robotics Autom. Lett. 10(7): 6975-6982 (2025) - [j7]Xiangteng Zhang, Yao Lyu, Shengbo Eben Li, Jingliang Duan, Guojian Zhan, Chang Liu, Bo Cheng, Keqiang Li:
Understanding Connection Between PMP and HJB Equations from the Perspective of Hamilton Dynamics. IEEE Trans. Artif. Intell. 6(10): 2777-2787 (2025) - [j6]Yuheng Lei, Yao Lyu, Guojian Zhan, Tao Zhang, Jiangtao Li, Jianyu Chen, Shengbo Eben Li, Sifa Zheng:
Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems. IEEE Trans. Evol. Comput. 29(2): 555-569 (2025) - [j5]Jiaxin Gao, Shaosong Li, Yao Lyu, Yuxuan Jiang, Guojian Zhan, Yujie Yang, Yuming Yin, Mingming Wang, Shengbo Eben Li:
CIDC: A Flexible Formation Control Framework for Intelligent Connected Vehicles. IEEE Trans. Intell. Veh. 10(5): 3072-3081 (2025) - [c6]Guojian Zhan, Ziang Zheng, Shengbo Eben Li:
Canonical Form of Datatic Description in Control Systems. ACC 2025: 3479-3484 - [c5]Yuhang Zhang, Yao Lyu, Guojian Zhan, Wenjun Zou, Shengbo Eben Li:
Boosting Exploration in Reinforcement Learning for Sparse Reward Tasks. ACC 2025: 3492-3499 - [c4]Tianqi Zhang, Puzhen Yuan, Guojian Zhan, Ziyu Lin, Yao Lyu, Zhenzhi Qin, Jingliang Duan, Liping Zhang, Shengbo Eben Li:
Predictive Lagrangian Optimization for Constrained Reinforcement Learning. CDC 2025: 5819-5824 - [c3]Ziang Zheng, Guojian Zhan, Bin Shuai, Shentao Qin, Jiangtao Li, Tao Zhang, Shengbo Eben Li:
Transferable Latent-To-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots. IROS 2025: 18911-18918 - [i16]Tianqi Zhang, Puzhen Yuan, Guojian Zhan, Ziyu Lin, Yao Lyu, Zhenzhi Qin, Jingliang Duan, Liping Zhang, Shengbo Eben Li:
Predictive Lagrangian Optimization for Constrained Reinforcement Learning. CoRR abs/2501.15217 (2025) - [i15]Ziang Zheng, Guojian Zhan, Bin Shuai, Shengtao Qin, Jiangtao Li, Tao Zhang, Shengbo Eben Li:
Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots. CoRR abs/2503.17626 (2025) - [i14]Feihong Zhang, Guojian Zhan, Bin Shuai, Tianyi Zhang, Jingliang Duan, Shengbo Eben Li:
Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios. CoRR abs/2505.13532 (2025) - [i13]Yinuo Wang, Mining Tan, Wenjun Zou, Haotian Lin, Xujie Song, Wenxuan Wang, Tong Liu, Likun Wang, Guojian Zhan, Tianze Zhu, Shiqi Liu, Jingliang Duan, Shengbo Eben Li:
Enhanced DACER Algorithm with High Diffusion Efficiency. CoRR abs/2505.23426 (2025) - [i12]Ziang Zheng, Guojian Zhan, Shiqi Liu, Yao Lyu, Tao Zhang, Shengbo Eben Li:
Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion. CoRR abs/2507.01243 (2025) - [i11]Yangang Ren, Guojian Zhan, Chen Lv, Jun Li, Fenghua Liang, Keqiang Li:
Self-supervised Pretraining for Integrated Prediction and Planning of Automated Vehicles. CoRR abs/2507.09537 (2025) - [i10]Likun Wang, Xiangteng Zhang, Yinuo Wang, Guojian Zhan, Wenxuan Wang, Haoyu Gao, Jingliang Duan, Shengbo Eben Li:
Off-policy Reinforcement Learning with Model-based Exploration Augmentation. CoRR abs/2510.25529 (2025) - [i9]Guojian Zhan, Likun Wang, Xiangteng Zhang, Jiaxin Gao, Masayoshi Tomizuka, Shengbo Eben Li:
Bootstrap Off-policy with World Model. CoRR abs/2511.00423 (2025) - [i8]Guojian Zhan, Likun Wang, Pengcheng Wang, Feihong Zhang, Jingliang Duan, Masayoshi Tomizuka, Shengbo Eben Li:
Mind Your Entropy: From Maximum Entropy to Trajectory Entropy-Constrained RL. CoRR abs/2511.11592 (2025) - 2024
- [j4]Yuxuan Jiang, Guojian Zhan, Zhiqian Lan, Chang Liu, Bo Cheng, Shengbo Eben Li:
A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios. IEEE Trans. Intell. Transp. Syst. 25(5): 4335-4345 (2024) - [j3]Guojian Zhan, Yuxuan Jiang, Shengbo Eben Li, Yao Lyu, Xiangteng Zhang, Yuming Yin:
A Transformation-Aggregation Framework for State Representation of Autonomous Driving Systems. IEEE Trans. Intell. Transp. Syst. 25(7): 7311-7322 (2024) - [j2]Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li:
Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model. IEEE Trans. Intell. Transp. Syst. 25(7): 8093-8104 (2024) - [c2]Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang:
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning. IROS 2024: 14026-14033 - [i7]Guojian Zhan, Ziang Zheng, Shengbo Eben Li:
Canonical Form of Datatic Description in Control Systems. CoRR abs/2403.01768 (2024) - [i6]Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang:
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning. CoRR abs/2407.15083 (2024) - [i5]Guojian Zhan, Qiang Ge, Haoyu Gao, Yuming Yin, Bin Zhao, Shengbo Eben Li:
An Explicit Discrete-Time Dynamic Vehicle Model with Assured Numerical Stability. CoRR abs/2411.17334 (2024) - 2023
- [c1]Guojian Zhan, Yuxuan Jiang, Jingliang Duan, Shengbo Eben Li, Bo Cheng, Keqiang Li:
Continuous-Time Policy Optimization. ACC 2023: 3382-3388 - [i4]Zeyang Li, Chuxiong Hu, Yunan Wang, Guojian Zhan, Jie Li, Shengbo Eben Li:
Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration. CoRR abs/2310.07211 (2023) - 2022
- [j1]Yangang Ren, Jianhua Jiang, Guojian Zhan, Shengbo Eben Li, Chen Chen, Keqiang Li, Jingliang Duan:
Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections. IEEE Trans. Intell. Transp. Syst. 23(12): 24145-24156 (2022) - [i3]Yangang Ren, Guojian Zhan, Liye Tang, Shengbo Eben Li, Jianhua Jiang, Jingliang Duan:
Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning. CoRR abs/2204.04403 (2022) - [i2]Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li:
Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters. CoRR abs/2211.10907 (2022) - 2021
- [i1]Yangang Ren, Jianhua Jiang, Jingliang Duan, Shengbo Eben Li, Dongjie Yu, Guojian Zhan:
Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow. CoRR abs/2110.12359 (2021)
Coauthor Index
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