Pengrui Quan [PhD Student]
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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:

  • Bachelor of Engineering in Electronic Engineering, The Chinese University of Hong Kong, 2018.
  • M.S. of Eletrical and Computer Engineering in , UCLA, 2020.
    (done at NESL)

Research Interests: Adversarial machine learning, Optimization

Recent Publications:

  • 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.