Colleges & Departments

The College of Engineering has worked to achieve its goal of educating highly-skilled, talented students with strong teamwork capabilities, serious work ethic, and global awareness. These students will be able to make creative applications of the theories and professional skills of applied sciences and cutting-edge technologies that are the fundamentals of the nation’s industrial advancements.

It has also earned international accreditation of its educational programs and conducted research and development on future-oriented industries at its Innovation Center for Engineering Education, Research Institute of Advanced Technology, and Machine Shop. In particular, it has contributed greatly to the regional development by offering technological consultations to the local businesses by studying the development of local resources.

Yoon Yeo-Chan Assistant Professor

Major
Multi-modal Deep Learning
office C104
Contact064-754-3781/
E-mail ycyoon@jejunu.ac.kr
Homepage https://sites.google.com/view/ycyoon

Career and thesis
Career and thesis
Education	Korea University, Computer science and engineering (BS, MS, PhD)
Major career	Jeju National University, Department of Software (22~현재) ETRI Principal researcher (07~22)
main paper	2021 Park, S., Whang, T., Yoon, Y. and Lim, H., 2021. Multi-view attention network for visual dialog. Applied Sciences, 11(7), p.3009. 2020 Yoon, Y. C., Park, S. Y., Park, S. M., & Lim, H., “Image classication and captioning model considering a CAM-based disagreement loss", ETRI Journal, 42(1), 67-77., SCI 2019 Yoon, Yeo Chan, Hyung Kuen Gee, and Heuiseok Lim. , “Network-Based Document Clustering Using External Ranking Loss for Network Embedding", IEEE Access 7 (2019): 155412-155423., SCIE 2019 Jeon, J. U., Choi, D. H., Park, S. Y., & Yoon, Y. C. Deep Learning-based End-to-End Dependency Parsing without POS Tagging. 2017 Yoon, Y. C., Lee, J., Park, S. Y., & Lee, C. , Fine-grained mobile application clustering model using retrotted document embedding. ETRI Journal, 39(4), 443-454., SCI 2014 Jeong Heo , Chung Hee Lee, Hyo Jung Oh, Yeo Chan Yoon, Hyun Ki Kim, Yo Han Jo, & Cheol Young Ock . , Web Science : Automatic Generation of Issue Analysis Report Based on Social Big Data Mining KIPS, Software and Data Engineering vol3.12, 553-564. 2013 Oh, Hyo-Jung, Yeo-Chan Yoon, and Hyun Ki Kim, “Finding more trustworthy answers: Various trustworthiness factors in question answering", Journal of information science 39.4 (2013): 509-522., SCI 2012 Yoon, Y. C., Lee, C. K., Kim, H. K., Jang, M. G., Ryu, P. M., & Park, S. Y., “Descriptive Question Answering with Answer Type Independent Features.", IEICE TRANSACTIONS on Information and Systems, 95(7), 2009-2012., SCIE 2012 Yoon, Y. C., Jang, M. G., Kim, H. K., & Park, S. Y",Detecting Partial and Near Duplication in the Blogosphere. IEICE TRANSACTIONS on Information and Systems, 95(2), 681-685., SCIE 2008 Yeo Chan Yoon, So Young Park, Young In Song, Hae Chang Rim, Dae Woong Rhee, “ Automatic acronym dictionary construction based on acronym generation types",IEICE TRANSACTIONS on Information and Systems, 1584-1587, SCIE Conference Publications 2019 Lee, Jun Woo, and Yeo Chan Yoon. , "Fine-Grained Plant Identication using wide and deep learning model."

Kim, Jisoo Assistant Professor

Major
office C105
Contact064-754-3782/
E-mail clionelove@jejunu.ac.kr
Homepage

Career and thesis
Career and thesis
Education
Major career
main paper

Kyuchang Chang Assistant Professor

Major
Industrial AI, Smart Diagnostics & Prognostics, Reinforcement Learning
office C220
Contact064-754-3783/
E-mail kyuchang@jejunu.ac.kr
Homepage

Career and thesis
Career and thesis
Education
Major career
main paper

Kim Gyeongmin Assistant Professor

Major Data centric AI
office C109
Contact064-754-3784/
E-mail gmkim@jejunu.ac.kr
Homepage https://sites.google.com/view/dcalab

Career and thesis
Career and thesis
Education	Dept. of Computer Science and Engineering; Ph.D. Dept. of Information Protection; B.S. (Summa cum laude)
Major career
main paper	[International Journal & Conference] - Chanjun Park, Seonmin Koo, Gyeongmin Kim, Heuiseok Lim “Towards Harnessing the Most of ChatGPT for Korean Grammatical Error Correction” Applied Sciences (2024) - Gyeongmin Kim, Minsuk Kim, Byungchul Kim, Heuiseok Lim “CBITS: Crypto BERT Incorporated Trading System” IEEE Access (2023) - Gyeongmin Kim, Jinsung Kim, Junyoung Son, Heuiseok Lim “Prompt Language Learner with Trigger Generation for Dialogue Relation Extraction” Applied Sciences (2023) - Gyeongmin Kim, Jinsung Kim, Junyoung Son, Heuiseok Lim “KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks” CoLING (2022) - Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Gyeongmin Kim, Jungseob Lee, Heuiseok Lim “QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation” CoLING (2022) - Gyeongmin Kim, Minseok Kim, Jaechoon Jo “Enhancing Code Similarity with Augmented Data Filtering and Ensemble Strategies” International Journal on Informatics Visualization (2022) - Gyeongmin Kim, Jaechoon Jo “Verification of a Dataset for Korean Machine Reading Comprehension with Numerical - Discrete Reasoning over Paragraphs” International Journal on Informatics Visualization (2022) - Gyeongmin Kim, Soomin Lee, Chanjun Park, Heuiseok Lim “AI Student: A Machine Reading Comprehension System for the Korean College Scholastic Ability Test” Mathematics (2022) - Gyeongmin Kim, Jinsung Kim, Junyoung Son, Hyunhee Lee, Heuiseok Lim “Enhancing Korean Named Entity Recognition With Linguistic Tokenization Strategies” IEEE Access (2021) - Hyunhee Lee, Gyeongmin Kim, Yuna Hur, Heuiseok Lim “Visual Thinking of Neural Networks: Interactive Text to Image Synthesis” IEEE Access (2021) - Jaechoon Jo, Gyeongmin Kim, Kinam Park “Sentiment-Target Word Pair Extraction Model Using Statistical Analysis of Sentence Structures” Electronics (2021) - Gyeongmin Kim, Chanhee Lee, Jaechoon Jo, Heuiseok Lim “Automatic extraction of named entities of cyber threats using a deep Bi-LSTM-CRF network” International Journal of Machine Learning and Cybernetics (2020) - Kuekyeng Kim, Yuna Hur, Gyeongmin Kim, Heuiseok Lim “GREG: A Global Level Relation Extraction with Knowledge Graph Embedding” Applied Sciences (2020)