Siyuan Yu

Bio

Siyuan Yu is a M.Sc. student in the SODA Lab, at the University of Alberta Department of Computing  Science 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 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. He dedicates his efforts to developing online algorithms within multi-agent systems that are both theoretically robust and empirically effective.

In his downtime, Siyuan finds joy in the world of classical 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 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