个人简介

Jiayi Guo is an assistant professor at Shanghai University of Finance and Economics. Dr. Guo received his Ph.D. degree from the School of Operations Research and Information Engineering at Cornell University (2018). Before coming to Cornell, he received his B.S. of Mathematics and B.S. of Computer Science dual degree (2012) at University of Illinois Urbana-Champaign.

Broadly conceived, Dr. Guo’s research area is optimization. Currently, his work explores different variations of iterative methods to solve continuous optimization problems on non-smooth and non-convex functions, and their application in machine learning. In general, Jiayi is interested in the interplay between optimization, simulation, and numerical solver development.

Lastly, Dr. Guo also had working experiences at eBay and Argonne National Laboratory, and consulting experiences with several leading enterprises.

教授课程

高级运筹学

程序实验设计

科研项目

教育和工作经历

2018 康奈尔大学 运筹与信息工程博士

2012 伊利诺伊香槟 应用数学与计算机科学本科双学位

研究成果

1. Rescaling nonsmooth optimization using BFGS and Shor updates.
   Guo, J., & Lewis, A. S. (2018).
   in submission.

2. Nonsmooth Variants of Powell’s BFGS Convergence Theorem.
   Guo, J.,& Lewis, A. S. (2018).
   SIAM Journal on Optimization, 28(2), 1301-1311.

3. Complexity results for the basic residency scheduling problem.
   Guo, J.,Morrison, D. R., Jacobson, S. H., & Jokela, J. A. (2014).
   Journal of Scheduling, 17(3), 211-223.

荣誉奖励