Shaoyuan Xie

Shaoyuan Xie

I am a Ph.D. student in the Donald Bren School of Information and Computer Sciences at University of California, Irvine advised by Prof. Alfred Chen. I received my B.Eng. degree in Automation at Huazhong University of Science and Technology.

I am honored to work as a research intern with Prof. Cihang Xie in CCVL at Johns Hopkins University & VLAA at UC, Santa Cruz, Prof. Ziwei Liu at Nanyang Technological University and I also spent time at OpenMMLab at Shanghai AI Lab.

Email / CV / Google Scholar / Twitter / Github

News

[08/2024] - One paper is accepted by NDSS 2025.

[12/2023] - One paper is accepted by TMLR.

[11/2023] - We are hosting The RoboDrive Challenge at ICRA 2024.

[09/2023] - One paper is accepted by NeurIPS 2023.

[06/2023] - I will join OpenMMLab at Shanghai AI Lab as a intern , during summer 2023.

[03/2023] - I will join University of California, Irvine in 2023 Fall as a PhD student in Computer Science.

[11/2022] - We are organizing the RoboDepth Competition at ICRA 2023.

[05/2022] - I will join CCVL at Johns Hopkins University as a research intern, during summer 2022.

Research

My research focuses on AI Security and Machine Learning, especially in the context of autonomous driving.

	Exploring Backdoor Attacks against Large Language Model-based Decision Making Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu * Equal Contribution Preprint, 2024 paper / code / project
	Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective Ningfei Wang, Shaoyuan Xie, Takami Sato, Yunpeng Luo, Kaidi Xu, Qi Alfred Chen Network and Distributed System Security Symposium (NDSS), 2025 paper / code / project
	Benchmarking Out-of-Distribution Depth Estimation under Corruptions Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Benoit Cottereau, Lai Xing Ng, Wei Tsang Ooi NeurIPS, 2023 & CVPRW, 2023 paper / code / project
	RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu ICLRW, 2023 paper / code / project
	On the Adversarial Robustness of Camera-based 3D Object Detection Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie Transactions on Machine Learning Research (TMLR), 2023 paper / code

Workshop Organizer

	The RoboDrive Challenge ICRA Workshop, 2024 technique report / website
	The RoboDepth Challenge ICRA Workshop, 2023 technique report / website

Experience

Research Intern, OpenMMLab, June 2023-Aug 2023.

Research Assistant, NTU, Dec 2022-Jun 2023.

Research Intern, JHU & UCSC, Summer 2022.

Research Assistant, HUST, 2021-2023.

Honors and Awards

Dean's Fellowship, UC Irvine, 2023.

Honours Degrees, HUST (Top 3%), 2023.

National Scholarship, (Top 0.2% national-wide), 2020 and 2021.

Outstanding Undergraduate Student, HUST (Top 1%), 2020.

Merit Student, HUST (Top 7%), 2020 and 2021.

Misc

Conference Reviewer: CVPR, IEEE S&P, ACM CCS
Journal Reviewer: ISPRS J. Photogramm. Remote Sens

Stolen from Jon Barron