Jiacen(Jason) Xu

嘉涔 徐

I am a second-year Ph.D. student in DSP Lab, Department of Electrical Engineering and Computer Science at University of California, Irvine. My advisor is Prof. Zhou Li.

I received my B.S. and Master degree at Shanghai Jiao Tong University and got Outstanding Undergraduate in 2017 and Outstanding Graduate in 2020.

I am open to discuss anything related to my research interests. If you want to share ideas or get cooperation, please email me without hesitation:).

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  • [2021-07] I receive the USENIX Security '21 Student Grant Award.
  • [2021-05] I am the YelpNYC Challenge principal of UCI ML Hackathon.
  • [2021-04] One paper is accepted by CVPR 2021.
  • [2020-12] I pass the Ph.D. Preliminary Examination on November 2020.
[2021-07~2021-10] Research Assistant at the Chinese University of Hong Kong, Mentor: Prof. Kehuang Zhang.
[2020-09~2021-06] Visitor at Fudan University, Mentor: Prof. Zhe Zhou.
[2019-03~2020-02] Research Intern at University of Illinois at Urbana-Champaign, Mentor: Prof. Bo Li.
[2018-06~2018-09] Research Intern at Platina Systems at Santa Clara, Mentor: Dr. Sharad Mehrotra and Mr. Ramana Gopal.
USENIX Security '21 Student Grant Award

My research interests include Adversarial Machine Learning and Data-driven Security. Much of my research is about inferring the physical world and real world applications. Representative papers are highlighted.

Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
Ruoxi Jia, Fan Wu*, Xuehui Sun*, Jiacen Xu*,  David Dao,  Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song (*= Equal Contribution)
CVPR, 2021
project page / arXiv

Towards a unified min-max framework for adversarial exploration and robustness
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
arXiv, 2019

Great thanks to Jon Barron.