Siyuan Yu
Department of Computing Science
University of Alberta
Email: syu3 (at) ualberta (dot) ca
Bio
Siyuan Yu is a M.Sc. student in the SODA Lab, at the University of Alberta and Alberta Machine Intelligence Institute. Previously, he received his B.Sc. Honors degree from the University of Alberta in 2023. He is grateful to be mentored by Prof. Xiaoqi Tan.
Broadly, Siyuan works in the realm of economics and computation, algorithmic game theory, and decision making under uncertainty. He inspects problems that naturally arise in economics, particularly those with incentive dynamics, via a computational lens. In the long term, he aims to devise empirically effective yet theoretically robust strategies to applications in resource allocation and mechanism design.
In his downtime, Siyuan finds joy in the world of classical and choral music. Amongst his favourites, Beethoven's Violin Concerto holds a special place in his heart.
Publications
Threshold Policies with Tight Guarantees for Online Selection with Convex Costs
Xiaoqi Tan, Siyuan Yu, Raouf Boutaba, and Alberto Leon-Garcia
Conference on Web and Internet Economics (WINE) 2023
Competitive Online Path-Aware Path Selection
Ying Cao, Siyuan Yu, Xiaoqi Tan, and Danny H.K. Tsang
IFIP Performance 2023
Online Selection with Convex Costs
Xiaoqi Tan, Siyuan Yu, and Raouf Boutaba
ACM MAMA 2022 – in conjunction with ACM SIGMETRICS / IFIP Performance 2022
Teaching Experience
TA, CMPUT 204: Algorithms I, Fall 2024
TA, CMPUT 204: Algorithms I, Winter 2024
TA, CMPUT 204: Algorithms I, Fall 2023
TA, CMPUT 204: Algorithms I, Winter 2023
TA, CMPUT 174: Introduction to the Foundations of Computation I, Fall 2022
TA, CMPUT 174: Introduction to the Foundations of Computation I, Fall 2021