Taehyung Kwon

Ph.D. Student
KAIST AI
taehyung.kwon (at) kaist.ac.kr

About Me

I am a Ph.D. student at KAIST AI, and I am advised by Prof. Kijung Shin.

Education

KAIST

Ph.D. in Artificial Intelligence (Mar. 2022 - )
M.S in Artificial Intelligence (Mar. 2020 - Feb. 2022)
B.S. in Computer Science (Mar. 2015 - Feb. 2020)

Research Interests

Online Learning: SliceNStitch (ICDE 21)
Tensor Compression: NeuKron (WWW 23), TensorCodec (ICDM 23)

Publications

[C4] TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions

Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin

ICDM 2023
Best Student Paper Runner-up Award [Link]
PDF Code&Datasets Slide BibTex
[C3] NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors

Taehyung Kwon*, Jihoon Ko*, Jinhong Jung, Kijung Shin

WWW 2023

PDF Code&Datasets Slide BibTex
[P2] Begin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning

Jihoon Ko*, Shinhwan Kang*, Taehyung Kwon, Heechan Moon, Kijung Shin

Preprint, 2022.

PDF BibTex
[C2] Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs

Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin

WSDM 2022

PDF Code&Datasets BibTex
[P1] Learning to Pool in Graph Neural Networks for Extrapolation

Jihoon Ko, Taehyung Kwon, Kijung Shin, Juho Lee

Preprint, 2021.

PDF BibTex
[C1] SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams

Taehyung Kwon*, Inkyu Park*, Dongjin Lee, Kijung Shin

ICDE 2021

PDF Code&Datasets Slide BibTex

Awards and Honors

IEEE ICDM 2023 Best Student Paper Runner-up Award
Dean’s List (2015)

Professional Service

Conference Reviewers

ACM SIGKDD 24

Journal Reviewers

Big Data Research

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