Biography

I am a tenure-track faculty at CISPA Helmholtz Center for Information Security. I obtained my Ph.D degree in computer science at University of Virginia, advised by Prof. David Evans. I received my M.S. degree from Department of Statistics at University of Virginia and my B.S. degree in Mathematics at Tsinghua University. My research interests cover a variety of topics in machine learning and security, including trustworthy machine learning, adversarial machine learning, statistical machine learning, convex/non-convex optimization and deep learning. Here is my latest CV.

I am looking for strong and motivated students who are interested in trustworthy machine learing. Send me an email if you are interested.
Interests
  • Trustworthy Machine Learning
  • Adversarial Machine Learning
  • Statistical Machine Learning
  • Optimization
Education
  • PhD in Computer Science, Aug. 2017 - Aug. 2022

    University of Virginia

  • MS in Statistics, Aug. 2015 - May 2017

    University of Virginia

  • BS in Mathematics, Sep. 2011 - Jul. 2015

    Tsinghua University

Recent Publications

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(2021). Incorporating Label Uncertainty in Intrinsic Robustness Measures. ICLR 2021 aisecure workshop.

PDF Poster Link

(2019). Learning One-hidden-layer ReLU Networks via Gradient Descent. AISTATS 2019.

PDF Cite Poster ArXiv Link

Internship Experience

 
 
 
 
 
Machine Learning Research Intern
Jun 2020 – Oct 2020 Pittsburgh
Building efficient adversarially robust classification models using meta learning techniques (mentor: Anit Kumar Sahu)

Teaching Experience

Teaching Assistent - University of Virginia

Department of Computer Science

  • CS3102: Theory of Computation (Fall ‘19)
  • CS6501: Optimization for Machine Learning – Teaching Assistant (Fall ‘17)
  • CS2102: Discrete Math – Teaching Assistant (Fall ‘17)

Teaching Assistent - University of Virginia

Department of Statistics

  • STAT2120: Introduction to Statistical Science (Fall ‘16, Spring ‘17)

Professional Services

Program Committee member

  • IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
  • IEEE European Symposium on Security and Privacy (Euro S&P)

Journal Reviewer

  • Machine Learning (MLJ)
  • Advances in Computational Mathematics (ACOM)
  • Journal of Intelligent Information Systems (JIIS)
  • Transactions on Machine Learning Research (TMLR)

Conference Reviewer

  • Neural Information Processing Systems (NeurIPS)
  • International Conference on Machine Learning (ICML)
  • International Conference on Learning Representations (ICLR)
  • International Conference on Artificial Intelligence and Statistics (AISTATS)

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