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Guojian Zhan

Observed name: Zhan, Guojian
ORCID: 0000-0002-1246-4860
Observed ORCID: 0000-0002-1246-4860
OpenAlex ID: A5029301375
Quantifying the Individual Differences of Drivers’ Risk Perception via Potential Damage Risk Model
2024 · Chen Chen, Zhiqian Lan, et al. · IEEE Transactions on Intelligent Transportation Systems · 26
Improve generalization of driving policy at signalized intersections with adversarial learning
2023 · Yangang Ren, Guojian Zhan, et al. · Transportation Research Part C Emerging Technologies · 22
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Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections
2022 · Yangang Ren, Jianhua Jiang, et al. · IEEE Transactions on Intelligent Transportation Systems · 20
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A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios
2023 · Yuxuan Jiang, Guojian Zhan, et al. · IEEE Transactions on Intelligent Transportation Systems · 11
Zeroth-Order Actor–Critic: An Evolutionary Framework for Sequential Decision Problems
2025 · Yuheng Lei, Yao Lyu, et al. · IEEE Transactions on Evolutionary Computation · 8
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A Transformation-Aggregation Framework for State Representation of Autonomous Driving Systems
2024 · Guojian Zhan, Yuxuan Jiang, et al. · IEEE Transactions on Intelligent Transportation Systems · 8
Canonical Form of Datatic Description in Control Systems
2025 · Guojian Zhan, Ziang Zheng, et al. · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 6
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Physics Informed Neural Pose Estimation for Real-Time Shape Reconstruction of Soft Continuum Robots
2025 · Guojian Zhan, Xin An, et al. · IEEE Robotics and Automation Letters · 6
Continuous-Time Policy Optimization
2023 · Guojian Zhan, Yuxuan Jiang, et al. · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 5
Podar: Modeling Driver's Perceived Risk with Situation Awareness Theory
2022 · Chen Chen, Zhiqian Lan, et al. · SSRN Electronic Journal · 4
PODAR: A Collision Risk Model Offering Valid Signals for Vehicular Interactions
2025 · Chen Chen, Zhipeng Liu, et al. · IEEE Intelligent Transportation Systems Magazine · 3
An explicit discrete-time dynamic vehicle model with assured numerical stability
2024 · Guojian Zhan, Qiang Ge, et al. · Vehicle System Dynamics · 3
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Enhance Generality by Model-based Reinforcement Learning and Domain Randomization
2023 · Guojian Zhan, Yao Lyu, et al. · CAA International Conference on Vehicular Control and Intelligence (CVCI) · 3
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning
2024 · Yuxuan Jiang, Yujie Yang, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2
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CIDC: A Flexible Formation Control Framework for Intelligent Connected Vehicles
2024 · Jiaxin Gao, Shaosong Li, et al. · IEEE Transactions on Intelligent Vehicles · 2
Learn a Robust Policy for Real-World Driving With Adversarial Reinforcement Learning
2026 · Yangang Ren, Guojian Zhan, et al. · IEEE Transactions on Intelligent Vehicles · 1
Immiscible Diffusion Policy: Preserving Multimodal Robot Actions through Label-Free Noise Assignment
2026 · Zhang, Xiao, Chen, Yuxin, et al. · arXiv (Cornell University)
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Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation
2026 · Liu, Shiqi, He, Zeyu, et al. · arXiv (Cornell University)
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NoteVQA: Benchmarking VLMs on Real-Life Questions from Human Communities
2026 · Jiang, Haonan, Zhan, Guojian, et al. · arXiv (Cornell University)
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D$^3$-MOPD: Dynamic Domain ScheDuling for Efficient Multi-Teacher Distillation
2026 · Sun, Zechen, Zhang, Zhiwei, et al. · arXiv (Cornell University)
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Diagnosing Compositional Generalization in Sequential Robot Tasks
2026 · Wang, Yixiao, Wu, Cheng-En, et al. · arXiv (Cornell University)
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Factor-Aware Mixture-of-Experts with Pretrained Encoder for Combinatorial Generalization
2026 · Zhang, Feihong, Zhan, Guojian, et al. · arXiv (Cornell University)
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Real-time distributed predictive control of connected vehicles by neural approximation
2026 · Sichao Wu, Qiang Ge, et al. · Transportation Research Part C Emerging Technologies
STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens
2026 · Liu, Shiqi, He, Zeyu, et al. · arXiv (Cornell University)
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Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation
2026 · Zhan, Guojian, Tao, Letian, et al. · arXiv (Cornell University)
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Works count: 44
Citation count: 131
H-index: 6
I10-index: 4
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