Hi there 
Welcome to my Homepage!
I am an undergraduate (2022-2026) at Huazhong University of Science and Technology, passionate about Autonomous Driving and Computer Vision. I work at AIR@Tsinghua with Prof. Hao Zhao and Autolab@WLU with Prof. Kaicheng Yu.
News
- Unleash the potential of uncertainty: Delving into Uncertainty is accepted in IROS 2025🔥
- Our work on lane topology: Chameleon is accepted in ICRA 2025 (Oral Presentation)🔥
- Our brain-computer interface project: Brain-Controlled Robotic Arm was selected as National Innovation Program (National-level)🏆
Experience
Westlake University
Jun 2025 – Present
Research Assistant at AutoLab
Tsinghua University
Jun 2024 – Present
Research Assistant at AIR
Huazhong University of Science and Technology
Sep 2022 – Jul 2026
Research Assistant at XWCV
Selected Projects
UMPE
Guantian Zheng, Zongzheng Zhang, Jijun Wang, Hao Zhao†
A generative physical adversarial attack on VI-ReID models perturbs modality-invariant features.
CVPR 2026 (Plan to Submit)
Guantian Zheng, Zongzheng Zhang, Jijun Wang, Hao Zhao†
A generative physical adversarial attack on VI-ReID models perturbs modality-invariant features.
CVPR 2026 (Plan to Submit)
TrafficGenBench: A Generative Benchmark for Probing the Reasoning Limits of AI Agents in Complex Traffic Scenarios
Guantian Zheng, Enhui Ma, Kaicheng Yu†
A generative physical adversarial attack on VI-ReID models perturbs modality-invariant features.
CVPR 2026 (Plan to Submit)
Guantian Zheng, Enhui Ma, Kaicheng Yu†
A generative physical adversarial attack on VI-ReID models perturbs modality-invariant features.
CVPR 2026 (Plan to Submit)
Openlane-V3
Guantian Zheng, Zongzheng Zhang, Jijun Wang, Hao Zhao†
OpenLane-V3 is an extended version of the OpenLaneV2 benchmark, integrating additional modalities including 3D traffic light and traffic sign annotations with semantic and positional information. It aims to evaluate and demonstrate the impact of multi-modal cues on autonomous driving perception and planning tasks.
CVPR 2026 (Plan to Submit)
Guantian Zheng, Zongzheng Zhang, Jijun Wang, Hao Zhao†
OpenLane-V3 is an extended version of the OpenLaneV2 benchmark, integrating additional modalities including 3D traffic light and traffic sign annotations with semantic and positional information. It aims to evaluate and demonstrate the impact of multi-modal cues on autonomous driving perception and planning tasks.
CVPR 2026 (Plan to Submit)
PointHypE: Point Cloud Completion via Hyperbolic Embedding Learning
Guantian Zheng, Boran Zhang, Haiyang Xu†
Introduce a HyperChamfer Embedding that injects global geometric structure into the refinement stage, enabling structure-aware completion without explicit structural loss. Achieves significant improvements on ShapeNet-PCN benchmark.
ICRA 2026 (Plan to Submit) [arxiv]
Guantian Zheng, Boran Zhang, Haiyang Xu†
Introduce a HyperChamfer Embedding that injects global geometric structure into the refinement stage, enabling structure-aware completion without explicit structural loss. Achieves significant improvements on ShapeNet-PCN benchmark.
ICRA 2026 (Plan to Submit) [arxiv]
Delving into Mapping Uncertainty for Mapless Trajectory Prediction
Guantian Zheng, Zongzheng Zhang, Xuchong Qiu, Boran Zhang, Igor Gilitschenski, Xunjiang Gu, Hang Zhao†, Hao Zhao†
Propose lightweight Proprioceptive Scenario Gating module and Covariance-Based Map Uncertainty model, achieving up to 23.6% performance improvement over prior SOTA methods.
IROS 2025 [arXiv] [project page] [code]
Guantian Zheng, Zongzheng Zhang, Xuchong Qiu, Boran Zhang, Igor Gilitschenski, Xunjiang Gu, Hang Zhao†, Hao Zhao†
Propose lightweight Proprioceptive Scenario Gating module and Covariance-Based Map Uncertainty model, achieving up to 23.6% performance improvement over prior SOTA methods.
IROS 2025 [arXiv] [project page] [code]
Delving into Mapping Uncertainty for Mapless Trajectory Prediction
Guantian Zheng, Zongzheng Zhang, Xinrun Li, Sizhe Zou, Guoxuan Chi, Siqi Li, Hang Zhao†, Hao Zhao†
Propose neuro-symbolic algorithm combining symbolic reasoning with Chain-of-Thought VLMs, reducing inference time from >200s to 0.1-8s per frame with 5% accuracy improvement.
ICRA 2025 (Oral Presentation) [arXiv] [code]
Guantian Zheng, Zongzheng Zhang, Xinrun Li, Sizhe Zou, Guoxuan Chi, Siqi Li, Hang Zhao†, Hao Zhao†
Propose neuro-symbolic algorithm combining symbolic reasoning with Chain-of-Thought VLMs, reducing inference time from >200s to 0.1-8s per frame with 5% accuracy improvement.
ICRA 2025 (Oral Presentation) [arXiv] [code]
Brain-Controlled Robotic Arm
Guantian Zheng, Jincheng Yang, Dawei Ye†,
Achieved real-time recognition and control of a single hand with five degrees of freedom, with future plans to enable assisting paralyzed individuals in daily tasks such as eating, gripping, and writing.
Guantian Zheng, Jincheng Yang, Dawei Ye†,
Achieved real-time recognition and control of a single hand with five degrees of freedom, with future plans to enable assisting paralyzed individuals in daily tasks such as eating, gripping, and writing.
Honors & Awards
- Academic Excellence Scholarship (2025)
- Self-Motivation and Diligence Scholarship (2024)
- Academic Excellence Scholarship (2023)
- National Math Competition - 2nd Prize (2022)
I’m actively seeking research opportunities in Autonomous Driving and Computer Vision for graduate studies. Feel free to reach out if you’d like to collaborate.