Jingyang Zhang
Ph.D. candidate @ Duke
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
| Dec 15, 2023 | Excited to present our work OpenOOD v1.5 as an oral presentation at NeurIPS DistShift workshop! See [html][code][arxiv] for more details. |
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| May 13, 2023 | I’m joining Tesla as a Machine Learning Intern this summer. |
| Aug 16, 2022 | Excited to share that our work MixOE (fine-grained OOD detection) has been accepted to WACV2023! See [html][code][arxiv] for more details. |
| May 23, 2022 | I’m joining Bosch Center for AI as a Machine Learning Research Intern this summer. |
| Apr 05, 2022 | Excited to share that our work regarding the privacy leakage of adversarial training models has been accepted to The Art of Robustness workshop at CVPR as an oral presentation! See [html][code][arxiv] for more details. |
