Guojian Zhan - RankMe

36 papers A 2C 3Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bicriteria Policy Optimization for High-Accuracy Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Guojian Zhan, Xiangteng Zhang, Feihong Zhang, Letian Tao, Shengbo Eben Li
2026	J	`jnl`	DADP: Domain Adaptive Diffusion Policy. CoRR Pengcheng Wang, Qinghang Liu, Haotian Lin, Yiheng Li, Guojian Zhan, Masayoshi Tomizuka, Yixiao Wang
2026	J	`jnl`	Learn a Robust Policy for Real-World Driving With Adversarial Reinforcement Learning. IEEE Trans. Intell. Veh. Yangang Ren, Guojian Zhan, Shengbo Eben Li, Jingliang Duan, Yao Lyu, Yang Guan, Keqiang Li
2026	J	`jnl`	Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation. CoRR Guojian Zhan, Letian Tao, Pengcheng Wang, Yixiao Wang, Yiheng Li, Yuxin Chen, Masayoshi Tomizuka, Shengbo Eben Li
2026	J	`jnl`	PODAR: A Collision Risk Model Offering Valid Signals for Vehicular Interactions. IEEE Intell. Transp. Syst. Mag. Chen Chen, Zhipeng Liu, Weiqiang Liang, Mingming Wang, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
2026	J	`jnl`	STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens. CoRR Shiqi Liu, Zeyu He, Guojian Zhan, Letian Tao, Zhilong Zheng, Jiang Wu, Yinuo Wang, Yang Guan, Kehua Sheng, Bo Zhang, Keqiang Li, Jingliang Duan, Shengbo Eben Li
2025	C	`conf`	Boosting Exploration in Reinforcement Learning for Sparse Reward Tasks. ACC Yuhang Zhang, Yao Lyu, Guojian Zhan, Wenjun Zou, Shengbo Eben Li
2025	J	`jnl`	Bootstrap Off-policy with World Model. CoRR Guojian Zhan, Likun Wang, Xiangteng Zhang, Jiaxin Gao, Masayoshi Tomizuka, Shengbo Eben Li
2025	J	`jnl`	CIDC: A Flexible Formation Control Framework for Intelligent Connected Vehicles. IEEE Trans. Intell. Veh. Jiaxin Gao, Shaosong Li, Yao Lyu, Yuxuan Jiang, Guojian Zhan, Yujie Yang, Yuming Yin, Mingming Wang, Shengbo Eben Li
2025	C	`conf`	Canonical Form of Datatic Description in Control Systems. ACC Guojian Zhan, Ziang Zheng, Shengbo Eben Li
2025	J	`jnl`	Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios. CoRR Feihong Zhang, Guojian Zhan, Bin Shuai, Tianyi Zhang, Jingliang Duan, Shengbo Eben Li
2025	J	`jnl`	Enhanced DACER Algorithm with High Diffusion Efficiency. CoRR 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
2025	J	`jnl`	Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion. CoRR Ziang Zheng, Guojian Zhan, Shiqi Liu, Yao Lyu, Tao Zhang, Shengbo Eben Li
2025	J	`jnl`	Mind Your Entropy: From Maximum Entropy to Trajectory Entropy-Constrained RL. CoRR Guojian Zhan, Likun Wang, Pengcheng Wang, Feihong Zhang, Jingliang Duan, Masayoshi Tomizuka, Shengbo Eben Li
2025	J	`jnl`	Off-policy Reinforcement Learning with Model-based Exploration Augmentation. CoRR Likun Wang, Xiangteng Zhang, Yinuo Wang, Guojian Zhan, Wenxuan Wang, Haoyu Gao, Jingliang Duan, Shengbo Eben Li
2025	J	`jnl`	Physics Informed Neural Pose Estimation for Real-Time Shape Reconstruction of Soft Continuum Robots. IEEE Robotics Autom. Lett. Guojian Zhan, Xin An, Yuxuan Jiang, Jingliang Duan, Huichan Zhao, Shengbo Eben Li
2025	—	`conf`	Predictive Lagrangian Optimization for Constrained Reinforcement Learning. CDC Tianqi Zhang, Puzhen Yuan, Guojian Zhan, Ziyu Lin, Yao Lyu, Zhenzhi Qin, Jingliang Duan, Liping Zhang, Shengbo Eben Li
2025	J	`jnl`	Predictive Lagrangian Optimization for Constrained Reinforcement Learning. CoRR Tianqi Zhang, Puzhen Yuan, Guojian Zhan, Ziyu Lin, Yao Lyu, Zhenzhi Qin, Jingliang Duan, Liping Zhang, Shengbo Eben Li
2025	J	`jnl`	Self-supervised Pretraining for Integrated Prediction and Planning of Automated Vehicles. CoRR Yangang Ren, Guojian Zhan, Chen Lv, Jun Li, Fenghua Liang, Keqiang Li
2025	A	`conf`	Transferable Latent-To-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots. IROS Ziang Zheng, Guojian Zhan, Bin Shuai, Shentao Qin, Jiangtao Li, Tao Zhang, Shengbo Eben Li
2025	J	`jnl`	Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots. CoRR Ziang Zheng, Guojian Zhan, Bin Shuai, Shengtao Qin, Jiangtao Li, Tao Zhang, Shengbo Eben Li
2025	J	`jnl`	Understanding Connection Between PMP and HJB Equations from the Perspective of Hamilton Dynamics. IEEE Trans. Artif. Intell. Xiangteng Zhang, Yao Lyu, Shengbo Eben Li, Jingliang Duan, Guojian Zhan, Chang Liu, Bo Cheng, Keqiang Li
2025	J	`jnl`	Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems. IEEE Trans. Evol. Comput. Yuheng Lei, Yao Lyu, Guojian Zhan, Tao Zhang, Jiangtao Li, Jianyu Chen, Shengbo Eben Li, Sifa Zheng
2024	J	`jnl`	A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios. IEEE Trans. Intell. Transp. Syst. Yuxuan Jiang, Guojian Zhan, Zhiqian Lan, Chang Liu, Bo Cheng, Shengbo Eben Li
2024	J	`jnl`	A Transformation-Aggregation Framework for State Representation of Autonomous Driving Systems. IEEE Trans. Intell. Transp. Syst. Guojian Zhan, Yuxuan Jiang, Shengbo Eben Li, Yao Lyu, Xiangteng Zhang, Yuming Yin
2024	J	`jnl`	An Explicit Discrete-Time Dynamic Vehicle Model with Assured Numerical Stability. CoRR Guojian Zhan, Qiang Ge, Haoyu Gao, Yuming Yin, Bin Zhao, Shengbo Eben Li
2024	J	`jnl`	Canonical Form of Datatic Description in Control Systems. CoRR Guojian Zhan, Ziang Zheng, Shengbo Eben Li
2024	J	`jnl`	Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model. IEEE Trans. Intell. Transp. Syst. Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
2024	A	`conf`	Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning. IROS Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang
2024	J	`jnl`	Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning. CoRR Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang
2023	J	`jnl`	Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration. CoRR Zeyang Li, Chuxiong Hu, Yunan Wang, Guojian Zhan, Jie Li, Shengbo Eben Li
2023	C	`conf`	Continuous-Time Policy Optimization. ACC Guojian Zhan, Yuxuan Jiang, Jingliang Duan, Shengbo Eben Li, Bo Cheng, Keqiang Li
2022	J	`jnl`	Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning. CoRR Yangang Ren, Guojian Zhan, Liye Tang, Shengbo Eben Li, Jianhua Jiang, Jingliang Duan
2022	J	`jnl`	Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters. CoRR Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
2022	J	`jnl`	Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections. IEEE Trans. Intell. Transp. Syst. Yangang Ren, Jianhua Jiang, Guojian Zhan, Shengbo Eben Li, Chen Chen, Keqiang Li, Jingliang Duan
2021	J	`jnl`	Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow. CoRR Yangang Ren, Jianhua Jiang, Jingliang Duan, Shengbo Eben Li, Dongjie Yu, Guojian Zhan