|
Shuai Liu,
|
Bio
I am a Ph.D. student of Computing Science at Univeristy of Alberta (UofA) where I am cosupervised by Csaba Szepesvári and Xiaoqi Tan. My current research interest lies in theoretical perspective of Artificial Intelligence and Sequential Decision Making, especially Reinforcement Learning and Bandit algorithms. Before that, I obtained my M.Sc. in Computing Science at University of Alberta under the supervision of Csaba Szepesvári and I obtained Bachelor's degree in Computer Science at Harbin Institute of Technology under the supervision of Xianming Liu.
Education
-
Ph.D. student (in Computer Science), Dept. Computing Science, Univeristy of Alberta.
Supervisor: Csaba Szepesvári, Xiaoqi Tan.
-
Sept. 2023: M.Sc. (in Computer Science), Dept. Computing Science, Univeristy of Alberta.
Supervisor: Csaba Szepesvári.
-
Jul. 2021: B.Eng. (in Computer Science), Dept. Computer Science and Technology, Harbin Institute of Technology.
Supervisor: Xianming Liu.
GPA: 90.24/100
-
Aug. 2019 - May.2021: Non-degree Visiting Student, Department of Electrical Engineering and Computer Science, Univeristy of California, Berkeley.
GPA: 3.86/4.0
Experience
-
Jan. 2020 - Nov.2020: Int’l Computer Science Institute, UC Berkeley. During my stay in UC Berkeley, I mainly focused on doing researches in Deep Learning, especially Computer Vision, under the supervision of Stella X. Yu. I took part in multiple research projects where I was mainly responsible for implementation of various deep learning models using Pytorch. I actively worked with Sascha Hornauer.
-
Sep. 2020 - Jul.2021: AIIA Lab, HIT. I was a research assistant at AIIA Lab during my last year in undergrad where I finished my degree thesis under the supervision of Xianming Liu.
Publications
* indicates equal contribution.-
Exploration via linearly perturbed loss minimisation.
David Janz*, Shuai Liu*, Alex Ayoub*, Csaba Szepesvári.
Artificial Intelligence and Statistics (AISTATS), 2024.
Oral Presentation
[arXiv]