Jingyang Zhang

Ph.D. candidate @ Duke

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I’m currently a Ph.D. candidate at Duke University in the Department of Electrical and Computer Engineering, where I’m advised by Prof. Yiran Chen and Prof. Hai (Helen) Li. I obtained my Bachelor degree in 2019 from Department of Electronic Engineering at Tsinghua University. My research topics include adversarial machine learning and distributional shifts (specifically out-of-distribution detection). I have interned at Bosch Center for AI and Tesla over the summers.

news

Aug 26, 2019 I started my Ph.D. study at Duke ECE under the supervision of Prof. Yiran Chen and Prof. Hai Li.

selected publications

  1. NeurIPS
    DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
    Huanrui Yang , Jingyang Zhang, Hongliang Dong , and 6 more authors
    In Advances in Neural Information Processing Systems , 2020
    arXiv PDF Code Poster Slides
    120 Google Scholar citations
  2. WACV
    Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments
    Jingyang Zhang, Nathan Inkawhich , Randolph Linderman , and 2 more authors
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , Jan 2023
    arXiv PDF Code Poster Slides
    49 Google Scholar citations
  3. openood_teaser.png
    Openood v1.5: Enhanced benchmark for out-of-distribution detection
    Jingyang Zhang, Jingkang Yang , Pengyun Wang , and 8 more authors
    arXiv preprint, Jun 2023
    arXiv PDF Code Poster Slides
    57 Google Scholar citations