Siyuan Yu

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. From 2024 to 2025, his research is generously supported by Alberta Innovates.

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, Winter 2025

• 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