Yan Yan

Office: EME 123
Office Hour (Spring 2026): 11:30AM–12:30PM,
Tue, 1/13 - 4/28
Book An Office Hour

EECS Faculty Mentor Meeting: Book an EECS FM,
11:30AM-1:30PM, Wed/Thu, 3/25 - 4/2

I am an Assistant Professor at the School of Electrical Engineering and Computer Science, Washington State University, where I lead the ROMA Lab. My research interests include uncertainty quantification, risk-aware robust learning and stochastic optimization for machine learning with applications to language models and computer vision. I am the recipient of an NSF CAREER Award (2025). Over the past four years, I taught 237 students per year on average across three courses. I also mentor over 50 students each year in EECS as a faculty mentor.

Before joining WSU, I was a postdoctoral research associate in the Department of Computer Science at the University of Iowa, under the supervision of Prof. Tianbao Yang.

I received my Ph.D. in 2018 from the Centre for Artificial Intelligence (CAI), Faculty of Engineering and Information Technology, University of Technology Sydney, under the supervision of Prof. Yi Yang.

I spent five years with the ReLER Lab, at the University of Technology Sydney, during which I also worked closely with Prof. Ivor W. Tsang. I was also a visiting student at University of Adelaide, under the supervision of Prof. Mingkui Tan and Prof. Javen Qinfeng Shi.

In 2013, I received my B.E. in Computer Science from Tianjin University. My undergraduate thesis was supervised by Prof. Qinghua Hu, and I also received extensive mentorship from Prof. Pufeng Du.

news

Nov 07, 2025 Two papers have been accepted to AAAI’26. Congratulations to Zijian (Undergrad student at EECS, incoming PhD student at ROMA starting Spring 2026), Xuesong (PhD student at ROMA), Xinyu (PhD student at ROMA) and Yuanjie (PhD student at ROMA).
Aug 21, 2025 Received an NSF research grant (Award #2519063).
Jun 06, 2025 Received an NSF CAREER Award (Award #2443828). I am grateful for the support from NSF.

selected publications

  1. CP
    AAAI26_costsensitive.png
    Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
    Xuesong Jia, Yuanjie Shi, Ziquan Liu, and 2 more authors
    In AAAI, 2026
  2. CP
    AAAI26_minlength_OCP.png
    Provably Minimum-Length Conformal Prediction Sets for Ordinal Classification
    Zijian Zhang, Xinyu Chen, Yuanjie Shi, and 3 more authors
    In AAAI, 2026
  3. CP
    ICML25_DPSM.png
    Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
    Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, and 3 more authors
    In ICML, 2025