Shibo Li


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School of Computing
University of Utah


Email : shibo at

About Me

I am a third-year Ph.D. student in Computer Science at SoC and SCI, University of Utah. I received my M.S. degree at University of Pittsburgh and my B.E. degree at South China University of Technology(SCUT). I also spent time at Schlumberger-Doll Research as research intern and at Amazon as Applied Scientist Intern working on research and development of Privacy-preserving learning algorihtms.


My principal research interests lie in developing flexible and scalable algorithms that can learn from complex, structural, and high-dimensional data within the Bayesian framework. I am advised by Dr. Shandian Zhe and Dr. Mike Kirby. Currently, we are working on multi-fidelity, multi-task active learning/Bayesian optimization problems with deep models. Prior to joining UofU, I spent some time working on reinforcement learning problems that help automatic agents make rational decisions from temporal data under uncertainties.



Meta-Learning with Adjoint Methods
Shibo Li, Zheng Wang, Akil Narayan, Robert Kirby, Shandian Zhe



Multi-Fidelity Bayesian Optimization via Deep Neural Networks
Shibo Li, Wei Xing, Robert M. Kirby, Shandian Zhe

NeurIPS 2020

arXiv | code | supplementary | video

Scalable Variational Gaussian Process Regression Networks
Shibo Li, Wei Xing, Robert M. Kirby, Shandian Zhe

IJCAI 2020

arXiv | code

Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai

CIKM 2020


Academic Service

Conference Reviewer: AISTATS 2021, ICMLA 2021, UAI 2021, AAAI 2020

Last updated on Sep 2021.
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