Publications (Google Scholar Profile)

2020

Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams
Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, and Christos Faloutsos.
(Paper | Code)
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020.

2019

High-Performance Tucker Factorization on Heterogeneous Platforms
Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, and U Kang.
(Paper | Code | BIBTEX)
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019.

Fast and Scalable Method for Distributed Boolean Tensor Factorization
Namyong Park, Sejoon Oh, and U Kang.
(Paper | Homepage | BIBTEX)
VLDB Journal, 2019.

2018

GIFT: Guided and Interpretable Factorization for Tensors with an Application to Large-Scale Multi-platform Cancer Analysis
Sejoon Oh#, Jungwoo Lee#, and Lee Sael (# these authors contributed equally to this work).
(Paper | Homepage | BIBTEX)
Bioinformatics, 2018.

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
Sejoon Oh, Namyong Park, Lee Sael, and U Kang.
(Paper | Slides | Homepage | Github | BIBTEX)
IEEE International Conference on Data Engineering (ICDE 2018), Paris, France.
Gold Prize Winner (1st in CS) @ Samsung HumanTech Paper Award
Best Undergraduate Thesis Award @ Seoul National University

2017

Fast and Scalable Distributed Boolean Tensor Factorization
Namyong Park, Sejoon Oh, and U Kang.
(Paper | Homepage | BIBTEX)
IEEE International Conference on Data Engineering (ICDE 2017), San Diego, California, USA.