An approach for reducing computational time for real-time autonomous vehicle tracking TW Hwang, S Kim, S Kim, G Jang, J Park, S Park, ET Matson, K Kim 2018 18th International Conference on Control, Automation and Systems (ICCAS …, 2018 | 5 | 2018 |
Controllable text generation using semantic control grammar H Seo, S Jung, J Jung, T Hwang, H Namgoong, YH Roh IEEE Access 11, 26329-26343, 2023 | 3 | 2023 |
Absorption Distribution Metabolism Excretion and Toxicity Property Prediction Utilizing a Pre-Trained Natural Language Processing Model and Its Applications in Early-Stage Drug … W Jung, S Goo, T Hwang, H Lee, YK Kim, J Chae, H Yun, S Jung Pharmaceuticals 17 (3), 382, 2024 | 1 | 2024 |
Syntax vector learning using correspondence for natural language understanding H Seo, S Jung, T Hwang, H Kim, YH Roh IEEE Access 9, 84067-84078, 2021 | 1 | 2021 |
Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms T Hwang, H Seo, S Jung arXiv preprint arXiv:2404.14664, 2024 | | 2024 |
Journal of KIISE E Score, DV using Quantitative, S Kim, T Hwang, DQ Assessment, S Jung, ... Journal of KIISE 50 (3), 2023 | | 2023 |
Low-Dimensional Vector Representation Learning for Text Visualization Using Task-Oriented Dialogue Dataset. T Hwang, S Jung, YH Roh J. Comput. Sci. Eng. 16 (3), 165-177, 2022 | | 2022 |
Korean automatic spacing using pretrained transformer encoder and analysis T Hwang, S Jung, YH Roh ETRI Journal 43 (6), 1049-1057, 2021 | | 2021 |
A Study of the construct Korean New Word Corpus and Metric of New Word Importance H Kim, S Jung, T Hwang Annual Conference on Human and Language Technology, 14-19, 2020 | | 2020 |
Utilizing Large Language Models for Non-trained Binary Sentiment Classification H Ahn, T Hwang, S Jung, OAIC PLM | | |