Mengnan Du

Mengnan Du

PhD Student

Texas A&M University


I am a Ph.D. candidate in Computer Science at the CSE department of Texas A&M University, under supervision of Dr. Xia Hu. I also work closely with Dr. Ben Shneiderman of University of Maryland, and developed a website for Human-Centered AI. Here is my CV.

My research interest is on the broad area of trustworthy machine learning, with a particular interest in the areas of explainable, fair, and robust DNNs. I am particularly interested in the intersection of trustworthy ML and Natural Language Understanding.


  • Trustworthy AI
  • Explainability
  • Fairness in AI
  • Natural Language Processing


  • PhD in Computer Science, 2017 - Present

    Texas A&M University

  • MS in Electrical Engineering, 2014 - 2017

    Beihang University

  • BSc in Electrical Engineering, 2010 - 2014

    North China Electric Power University

Selected Publications

For full list, please refer to the Google Scholar or CV.

(2020). Techniques for Interpretable Machine Learning. Communications of the ACM (CACM), Review Article, Highlighted Article on the Cover Page.

Preprint PDF Video

Industry Experience

  • MSR, Research Intern.
  • Adobe Research, Research Intern.
    • Mentor(s): Varun Manjunatha, Tong Sun, Rajiv Jain, Jiuxiang Gu, Ruchi Deshpande, Franck Dernoncourt.
    • May 2020 - August 2020
  • Intel Asia-Pacific Research & Development Ltd, Software Engineer Intern.
    • Worked on an AR (Augmented reality) project for Smart glasses.
    • March 2017 - August 2017

Awards and Honors

  • [2020] Graduate Research Excellence Award, Texas A&M University.
  • [2020] Highlighted Article on the cover page of the Janurary 2020 issue, Communications of the ACM.
  • [2020] NortonLifeLock Graduate Fellowship 2020 finalist.
  • [2019] ICDM 2019 Best Paper Candidate.
  • [2019] WWW 2019 Best Paper Shortlist.
  • [2019] INFORMS 2019 Best Refereed Paper Finalists.