Yan Yan

Assistant Professor of Computer Science
School of Electrical Engineering And Computer Science
Washington State University

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Email: yan.yan1 AT wsu DOT edu
Office: EME 123

Brief Biography

I am an Assistant Professor in Machine Learning at School of Electrical Engineering And Computer Science, Washington State University, leading ROMA Lab. Before joining WSU, I was a postdoctoral research associate in Computer Science Department at University of Iowa, working with Professor Tianbao Yang. I received my Ph.D. in 2018 from Centre for Artificial Intelligent (CAI) in Faculty of Engineering and Information Technology (FEIT), University of Technology Sydney, Australia (UTS), under the supervision of Professor Yi Yang. I was very fortunate to spend five years with people in ReLER Lab. In 2013, I received my B.E. from Tianjin University, in Computer Science.

Research Interests

  • Conformal prediction for uncertainty quantification

  • Risk-aware robust learning

  • Statistical machine learning

  • Stochastic convex/non-convex optimization for machine learning problems


  • AAAI-2024 Tutorial ‘‘Advances in Robust Time-Series ML: From Theory to Practice’’ has been accepted.

  • We presented our paper ‘‘Probabilistically Robust Conformal Prediction’’ on UAI-2023, at Carnegie Mellon University, Pittsburgh, PA, USA.

  • Served as a session chair on UAI-2023. Really excellent discussion.

  • Served as SPC for The 38th AAAI Conference on Artificial Intelligence (AAAI 2024)

  • Selected for AAAI-2023 New Faculty Highlights.

  • Served as PC the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

  • We presented our paper ‘‘Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis’’ on AAAI-2023, at Walter E. Washington Convention Center, Washington, DC, USA.

  • Serving as a faculty mentor for Team Mentoring Program (TMP) at WSU.

  • Serving as a faculty mentor for Louis Stokes Alliance for Minority Participation (LSAMP) at WSU.

  • ROMA Lab holds weekly seminars in Fall 2023 (Schedule).

Research Group

ROMA Lab is looking for highly self-motivated Ph.D. students, working on conformal prediction, risk-aware robust learning, statistical machine learning and stochastic convex/non-convex optimization for machine learning problems. If you share similar research interests in machine learning, please send your CV and research proposal (if any) to yan.yan1 AT wsu DOT edu. Due to the large number of emails we receive, we cannot respond to every email individually. Thanks!