Siyuan Yu

Department of Computing Science

University of Alberta

Email: syu3 (at) ualberta (dot) ca

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Bio

Siyuan Yu is a senior student in Computing Science at the University of Alberta, and a research intern at the SODA Lab and Alberta Machine Intelligence Institute, where he is advised by Prof. Xiaoqi Tan. 

Broadly speaking, Siyuan's research interests lie at the intersection of decision-making under uncertainty, online learning, and game theory, with applications to resource allocation and mechanism design. Specifically, he works on online algorithms with provable performance guarantees in multi-agent systems and strives to bring better practical efficiency to them. 

He is also a software developer intern at Swift Charge, working with a team of talented engineers to make electric vehicle charging more accessible in the existing infrastructure. 

In his downtime, Siyuan is passionate about classical music and has enjoyed numerous magical nights with the Edmonton Symphony Orchestra. His favourite piece is Beethoven's Violin Concerto.

Publications

Xiaoqi Tan, Siyuan Yu, Raouf Boutaba, and Alberto Leon-Garcia

Preprint

Xiaoqi Tan, Siyuan Yu, and Raouf Boutaba

ACM MAMA 2022 – in conjunction with ACM SIGMETRICS / IFIP Performance 2022, June 2022

Presentations

TechAid Reverse EXPO, Alberta Machine Intelligence Institute, October 2022

Reverse EXPO, AI4Society, February 2022

Teaching Experience

Siyuan has been a teaching assistant for the following course offerings: