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 (ksk5693@snu.ac.kr) or LinkedIn.
Here are my CV and Github.
Publications
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]
Journals
Segwang Kim, Joonyoung Kim, and Kyomin Jung, Compositional Generalization via Parsing Tree Annotation, IEEE ACCESS 2021 [code]
Education
PhD, Department of Electrical and Computer Engineering, Seoul National University
BA, College of Liberal Studies (major: mathematics), Seoul National University