Shaoyuan Xie

Orcid: 0009-0008-1358-3010

According to our database1, Shaoyuan Xie authored at least 16 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations.
CoRR, March, 2026

The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms.
CoRR, January, 2026

FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking Systems.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

The Heat is On: Understanding and Mitigating Vulnerabilities of Thermal Image Perception in Autonomous Systems.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting.
CoRR, May, 2025

Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
On the Adversarial Robustness of Camera-based 3D Object Detection.
Trans. Mach. Learn. Res., 2024

Exploring Backdoor Attacks against Large Language Model-based Decision Making.
CoRR, 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.
CoRR, 2024

"Prompter Says": A Linguistic Approach to Understanding and Detecting Jailbreak Attacks Against Large-Language Models.
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

2023
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.
CoRR, 2023

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions.
CoRR, 2023

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


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