Sanghyuck Na

M.Eng.

Name: Sanghyuck Na(나상혁)

Status: Master. Student, Department of Computer Engineering at Dongguk University

Tel: +82-2-2290-1421

Address: New Engineering building 5116, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, Republic of Korea.

E-mail: shna@dongguk.edu

Research Areas: Machine Learning, Deep Learning, Meta Learning, Computer Vision, Generative Model

Master Thesis: Realistic Image Generation from Text by Using BERT-Based Embedding

Academic Career

2013.02: Dongseoul University, Bachelor of Engineering in Computer Software
2019.02 ~ 2021.08: Dongguk University, Master of Engineering in Computer Engineering and Science

Publications

2022

[SCIE] Sanghyuck Na, Mirae Do, Kyeonah Yu, Juntae Kim, “Realistic Image Generation from Text by Using BERT-Based Embedding”, Electronics. March 02, 2022.

2020

[SCI] Sanghyun Seo, Sanghyuck Na, Juntae Kim, “HMTL: Heterogeneous Modality Transfer Learning for Audio-visual Sentiment Analysis”, IEEE Access. July 02, 2020.

2019

Sanghyuck Na, Daeung Kim, Sanghyun Seo, Juntae Kim, “Improvement of Cross-Modal Retrieval Performance for Visual-Semantic Data Through Adversarial Learning”, 7th International Conference on Big Data Applications and Services (BIGDAS2019), Jeju Island, South Korea — August 21-24, 2019.
Changhoon Jeong, Sung-Eun Jang, Sanghyuck Na, Juntae Kim, “Korean Tourist Spot Multi-Modal Dataset for Deep Learning Applications”, Data, pp. 4(4).2019.(SCOPUS)
나상혁, 김준태, “Conditional WGAN-GP를 이용한 Few-Shot 이미지 생성”, 2019 한국소프트웨어종합학술대회 (KSC 2019), Pyeongchang Phoenix Park Korea — Dec 18-20, 2019.