Yuanxin Guo
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Third Year Ph.D. Student, |
About me
Hi :), I am Yuanxin Guo, a third year Ph.D. student at University of Toronto co-advised by Prof. Stark Draper and Prof. Wei Yu. My research interest lies in various fields, including information theory, coding theory and data science.
Prior to joining U of T, I graduated from the Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen). I gained research experience at the Network Coding Lab in CUHK-Shenzhen (advisor: Prof. Shenghao Yang) and the Shenzhen Research Institute of Big Data (advisor: Prof. Zhi-Quan Luo). I have worked as a research intern at the Wireless Technology Laboratory in Huawei Technologies from January 2021 to May 2021.
I have gained some teaching experience as an undergraduate student teaching fellow at CUHK-Shenzhen and as a teaching assistant at UofT. At CUHK-Shenzhen I have taught Calculus I, Linear Algebra, Complex Variables and Abstract Algebra I. At UofT I have taught Convex Optimization and Multiuser Information Theory. Some of my teaching notes could be found here.
News
24/7/29 Our paper ‘One-Shot Achievability Region for Hypothesis Testing with Communication Constraint’ has been accepted by ITW 2024 In-Person Track!
24/7/6 I will be presenting a poster ‘One-Shot Achievability Region for Hypothesis Testing with Communication Constraint’ at NASIT 2024.
21/7/6 One paper ‘On the Equivalence between Pre-transformed and Parity-check Monomial Codes’ has been accepted as poster by ISTC 2021. The work is conducted during my internship at Huawei Technologies with Zihan Tang and Bin Li.
21/5/3 I will be the presenting author of the paper ‘Successively Solvable Shift-Add Systems - A Graphical Characterization.’ @ IEEE ISIT 2021.
21/4/30 Two papers @ nclab have been accepted by IEEE ISIT 2021! Camera-ready version (and hopefully, the presentation slides) would be soon available.