Hyunsik Yoo
Ph.D. student in Computer Science at IL, UIUC
Contact: hy40_[at]_illinois.edu
Biography
I am a Ph.D. student in Computer Science at the University of Illinois Urbana-Champaign, fortunate to be advised by Prof. Hanghang Tong and to be part of iDEA-iSAIL joint lab. I earned both my M.S. and B.S. in Computer Science from Hanyang University, where I was fortunate to be advised by Prof. Sang-Wook Kim.
My research focuses on data mining and machine learning, specializing in graph (network) data learning. I aim to leverage insights from networks and temporal features to enhance real-world applications, with an emphasis on ensuring algorithmic fairness and robustness in graph mining/recommender systems. My interests also include continual learning, temporal modeling, and aligning these areas with Large Language Models.
Interests
Graph Learning, Recommender Systems, Algorithmic Fairness and Robustness, Continual Learning, Large Language Models
Publication
Generalizable Recommender System During Temporal Popularity Distribution Shifts
Hyunsik Yoo, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong
Class-Imbalanced Graph Learning without Class Rebalancing
Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong [paper | code]
ICML 2024
Ensuring User-side Fairness in Dynamic Recommender Systems
Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, and Hanghang Tong [paper | code]
ACM WWW 2024 | Oral presentation
Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding [paper | code]
Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, and Sang-Wook Kim
ACM WWW 2023
Directed Network Embedding with Virtual Negative Edges [paper | project page | code]
Hyunsik Yoo*, Yeon-Chang Lee*, Kijung Shin, and Sang-Wook Kim
ACM WSDM 2022
Education
University of Illinois Urbana-Champaign, Illinois, U.S.
Ph.D. in Computer Science, Aug. 2022 - Present
Advisor: Prof. Hanghang Tong
Hanyang University, Seoul, South Korea
M.S. in Computer Science, Mar. 2020 - Feb. 2022
Advisor: Prof. Sang-Wook Kim
B.S. in Computer Science & Engineering, Mar. 2013 - Feb. 2020
(Period includes 21 months of military service in Republic of Korea Army)
Positions
Amazon.com Inc, Seattle, WA, US
Applied Scientist Intern, May. 2024 - Aug. 2024
Mentors: Dr. Zhen Wen & Dr. Charlie Xu
ECIT, Queen's University Belfast, Northern Ireland, UK
Research Intern, Sept. 2018 - Dec. 2018
Mentors: Dr. BooJoong Kang
Honors & Awards
Summa Cum Laude Graduation Honors, 2020
Academic Excellence Award (Top 3% in CS), 2017, 2018
Excellent Mentoring Team Award, 2017
Teaching
Teaching Assitant
UIUC. CS412 Introduction to Data Mining, Fall 2023
Tutor
Hanyang Univ. Python training for high school students (student volunteer), Spring 2019