Education
- Master of Informatics, Graduate School of Informatics, Kyoto University (Apr. 2018-Mar. 2020, expected)
- Bachelor of Engineering, School of Informatics and Mathematical Science, Kyoto University (Apr. 2014-Mar. 2018)
Publications & Presentations
Peer-reviewed International Conferences and Workshops
- J. Baek, G. Kim, J. Lee, S. Park, D. Han, S. Yun, S. J. Oh, and H. Lee, “What is wrong with scene text recognition model comparisons? dataset and model analysis”, Proceedings of the 2019 IEEE International Conference on Computer Vision (ICCV), 2019 (Oral presentation).
- G. Kim, A. Okuno, K. Fukui, and H. Shimodaira, “Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities”, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI), 2019.
- G. Kim, K. Fukui, and H. Shimodaira, “Segmentation-free Compositional n-gram Embedding”, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2019.
- A. Okuno, G. Kim, and H. Shimodaira, “Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability”, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.
- G. Kim, K. Fukui, and H. Shimodaira, “Word-like Character n-gram Embedding”, Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text, 2018.
Other Conferences, Meetings and Workshops (Selected)
- G. Kim, A. Okuno, and H. Shimodaira, “Embedding Words into Pseudo-Euclidean Space”, Proceedings of the 25th Annual Meeting of the Association for Natural Language Processing (in Japanese), 2019.
- T. Tanaka, A. Okuno, K. Fukui, G. Kim, and H. Shimodaira, “Image Tag Estimation Using Multiscale k-Nearest Neighbors”, Presentation at the 22nd Information-Based Induction Sciences Workshop (in Japanese), 2019 (forthcoming).
- M. Mizutani, A. Okuno, K. Fukui, G. Kim, T. Kanazawa, Y. Shiraishi, M. Okada, and H. Shimodaira, “Multimodal Data Visualization Using t-Stochastic Graph and Neighbor Graph Joint Embedding”, Presentation at the 22nd Information-Based Induction Sciences Workshop (in Japanese), 2019 (forthcoming).
- A. Okuno, G. Kim, and H. Shimodaira, “Representation Capability of Graph Embedding with Neural Networks and Its Extensions”, Presentation at the Japanese Joint Statistical Meeting 2019 (in Japanese), 2019.
- G. Kim, K. Fukui, T. Hada, and H. Shimodaira, “The acquisition of distributed representations of words via embedding word-like character n-gram”, Proceedings of the 24th Annual Meeting of the Association for Natural Language Processing (in Japanese), 2018.
- G. Kim, K. Fukui, T. Hada, and H. Shimodaira, “Segmentation-free Word Embedding with Word Dictionary”, Presentation at the 20th Information-Based Induction Sciences Workshop (in Japanese), 2017.
Research Experience
- Mathematical Statistics Team, RIKEN Center for Advanced Intelligence Project (Sep. 2017-Present)
- As a research part-timer : Jul. 2017-Mar. 2018 and Jan. 2019-Present
- As a trainee : Apr. 2018-Dec. 2018
- Advisor : Prof. Hidetoshi Shimodaira
- Shimodaira Lab. (Statistics and Machine Learning), Kyoto University (Apr. 2017-Present)
- Clova AI Research, NAVER Corp. (Aug. 2018-Oct. 2018 and Aug. 2019-Sep. 2019)
Selected Honors & Awards
- Young Researcher Award of the Twenty-fifth Annual Meeting of the Association for Natural Language Processing. 2019.
- Best Poster Award of the Twenty-fifth Annual Meeting of the Association for Natural LanguageProcessing. 2019.
- Seiwa International Students Scholarship. 2019.
- Korea-Japan Joint Government Scholarship. 2013–2018.
- Admission and tuition fees, and living costs covered for a year of preliminary education and four years of Bachelor’s studies
