University of California, Los Angeles
UCLA, ECE Department
Office:
Boelter # 1762
Lab:
Boelter # 1762
Mail:
Room 1762, Boelter Hall, UCLA, Westwood, Los Angeles, CA 90095-1594
Email:
quanpr@foxmail.com
Tel [work]:
4245358458
Education:
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Bachelor of Engineering in Electronic Engineering, The Chinese University of Hong Kong, 2018.
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M.S. of Eletrical and Computer Engineering in , UCLA, 2020.
(done at NESL)
Research Interests:
Adversarial machine learning, Optimization
Recent Publications:
- Making Vibration-based On-body Interaction Robust
Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Shupei Lin, Mani B. Srivastava, and John A. Stankovic .
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2022), May 2022. [ Details ]
- Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss
Pengrui Quan.
https://arxiv.org/pdf/2102.00449.pdf, March 2021. [ Details ]
- Hard-Label Black-Box Adversarial Attack on Deep Electrocardiogram Classifier
Pengrui Quan, and J.Vikranth Jeyakumar.
November 2020. [ Details ]
Other Publications:
Manuscripts:
1. Yuan B, Li Y S, Quan P, et al. An Efficient Newton Method for Extreme Similarity Learning with Nonlinear Embeddings[J]. arXiv preprint arXiv:2010.13511, 2020.
