Segwang Kim

Welcome to Segwang’s Homepage!

I am a S/W engineer at Samsung MX Division (started in Sep 2022). My task is 6 DoF, also known as SLAM (Simultaneously Localization and Mapping), for AR/VR devices. I have a Ph. D degree and the title of my dissertation is Improving Rule-based Out-of-distribution Generalization of Sequence Generation Models.
You can contact me through e-mail ( or LinkedIn.
Here are my CV and Github.


Conference Proceedings

Segwang Kim, Hyoungwook Nam, Joonyoung Kim, and Kyomin Jung, Neural Sequence-to-grid Module for Learning Symbolic Rules, AAAI Conference on Artificial Intelligence (AAAI) - Feb 2021, A Virtual Conference [code, poster, slides, abridged slides]

Hyoungwook Nam, Segwang Kim, Kyomin Jung, Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks, AAAI Conference on Artificial Intelligence (AAAI) - (Oral), Jan 2019, Honolulu, Hawaii, USA [poster, slides]


Segwang Kim, Joonyoung Kim, and Kyomin Jung, Compositional Generalization via Parsing Tree Annotation, IEEE ACCESS 2021 [code]


PhD, Department of Electrical and Computer Engineering, Seoul National University

Advisor: Kyomin Jung, Mar 2016 - Fall 2022

BA, College of Liberal Studies (major: mathematics), Seoul National University

Mar 2012 - Feb 2016





Coursework-Information Theory
Recap-Probability Theory