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.
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
Xiaoqi Tan, Siyuan Yu, and Raouf Boutaba
ACM MAMA 2022 – in conjunction with ACM SIGMETRICS / IFIP Performance 2022