| Improving neural question generation using answer separation Y Kim, H Lee, J Shin, K Jung Proceedings of the AAAI conference on artificial intelligence 33 (01), 6602-6609, 2019 | 197 | 2019 |
| Attnconvnet at semeval-2018 task 1: Attention-based convolutional neural networks for multi-label emotion classification Y Kim, H Lee, K Jung Proceedings of The 12th International Workshop on Semantic Evaluation, 141–145, 2018 | 48 | 2018 |
| Contextual-CNN: A novel architecture capturing unified meaning for sentence classification J Shin, Y Kim, S Yoon, K Jung 2018 IEEE international conference on big data and smart computing (BigComp …, 2018 | 37 | 2018 |
| LSTM 언어모델 기반 한국어 문장 생성 김양훈， 황용근， 강태관， 정교민 한국통신학회논문지 41 (5), 592-601, 2016 | 11 | 2016 |
| Context-aware neural machine translation for Korean honorific expressions Y Hwang, Y Kim, K Jung Electronics 10 (13), 1589, 2021 | 5 | 2021 |
| Collaborative training of gans in continuous and discrete spaces for text generation Y Kim, S Won, S Yoon, K Jung IEEE Access 8, 226515-226523, 2020 | 5 | 2020 |
| MILAB at SemEval-2019 task 3: multi-view turn-by-turn model for context-aware sentiment analysis Y Lee, Y Kim, K Jung Proceedings of the 13th International Workshop on Semantic Evaluation, 256-260, 2019 | 4 | 2019 |
| Self-adapter at semeval-2021 task 10: Entropy-based pseudo-labeler for source-free domain adaptation S Yoon, Y Kim, K Jung Proceedings of the 15th International Workshop on Semantic Evaluation …, 2021 | 3 | 2021 |
| Index tracking via learning to predict market sensitivities Y Hong, Y Kim, J Kim, Y Choi arXiv preprint arXiv:2209.00780, 2022 | 1 | 2022 |
| 표준국어대사전을 활용한 문장 쌍 표현 모델 자기지도 학습 방법 연구 강태관， 김양훈， 정교민 한국정보과학회 학술발표논문집, 579-581, 2021 | | 2021 |
| Effective Training Methods for Autoregressive Text Generation 김양훈 서울대학교 대학원, 2021 | | 2021 |
| 문장 레벨 그래프 회선 신경망을 통한 텍스트 분류 이민우， 김양훈， 정교민 정보과학회 컴퓨팅의 실제 논문지 25 (8), 397-401, 2019 | | 2019 |
Kyomin JungProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
