Siyuan Yu
Department of Computing Science
University of Alberta
Email: syu3 (at) ualberta (dot) ca
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
Threshold Policies with Tight Guarantees for Online Selection with Convex Costs
Xiaoqi Tan, Siyuan Yu, Raouf Boutaba, and Alberto Leon-Garcia
Preprint
Online Selection with Convex Costs
Xiaoqi Tan, Siyuan Yu, and Raouf Boutaba
ACM MAMA 2022 – in conjunction with ACM SIGMETRICS / IFIP Performance 2022, June 2022
Presentations
Data-driven Online Selection with Convex Costs
TechAid Reverse EXPO, Alberta Machine Intelligence Institute, October 2022
Online Search under Convex Costs
Reverse EXPO, AI4Society, February 2022
Teaching Experience
Siyuan has been a teaching assistant for the following course offerings:
CMPUT 204 - Algorithms I, Winter 2023
CMPUT 174 - Introduction to the Foundations of Computation I, Fall 2022
CMPUT 174 - Introduction to the Foundations of Computation I, Fall 2021