Se-eun Yoon

I'm a first-year Ph.D. student in Computer Science at the University of California, San Diego. My research interest is applied machine learning for graphs, recommender systems, and various complex data. I'm very fortunate to be advised by Prof. Julian McAuley and Prof. Babak Salimi. I received my M.S. (2020) and B.S. (2018) degrees in the School of Electrical Engineering at KAIST, South Korea.

Email: seeuny at
Google Scholar


Structural Patterns and Generative Models of Real-world Hypergraphs [PDF]

Manh Tuan Do, Se-eun Yoon, Bryan Hooi, and Kijung Shin
KDD 2020

How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction [PDF] [Video]

Se-eun Yoon, Hyungseok Song, Kijung Shin, and Yung Yi
WWW 2020

Solving Continual Combinatorial Selection via Deep Reinforcement Learning [PDF]

Hyungseok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, and Yung Yi
IJCAI 2019


Korea Advanced Institute of Science and Technology (KAIST)

M.S. in Electrical Engineering — Aug. 2020
B.S. in Electrical Engineering (Summa Cum Laude) — Aug. 2018

Awards & Honors

Dean's List

Top 3% in KAIST EE — Spring 2015, Fall 2015, Spring 2016, Fall 2016

Department Honors Scholarship

Top 3 in KAIST EE — Spring 2015, Spring 2016


Graph Mining and Social Network Analysis [KAIST AI601]

TA — Fall 2019

Programming Structures for Electrical Engineering [KAIST EE209]

TA — Spring 2019

Individual Study [KAIST EE495]

TA — Summer 2019, Winter 2020
(Advisees: Jieon Yoon, Jiin Kim, Seunghun Cha)

Samsung DS-KAIST AI Expert Program

TA — Summer 2019

Deep Learning with Tensorflow [KICS Workshop]

TA — Winter 2019