Bio
Jeewoo Yoon is Chief Technology Officer (CTO) at Raondata. He received his Ph.D. in applied artificial intelligence from Sungkyunkwan University (SKKU) in 2023, and B.S. degree in computer science and engineering from Hanyang University in 2019. His research interests generally lie in multimodal machine learning, data science, and artificial intelligence.
Education
Ph.D. in Applied Artificial Intelligence at Sungkyunkwan University (2019.03 - 2023.08)
Dissertation: Multimodal Deep Learning in Affective Computing
Advisors: Dr. Jinyoung Han
B.S. in Computer Science & Engineering at Hanyang University (2014.03 - 2019.02)
Career
CTO, Raondata (2023.03 - ing)
AI Lead, Raondata (2021.04 - 2023.02)
Software Engineer, Pulit (2019.02 - 2020.10)
Student Tech Evangelist, Microsoft Student Partners (2017.03 - 2017.07)
Publication
(* = (co-)corresponding author, ** = equal contributions)
[2024]
Juho Jung**, Jinyoung Han**, Jeong Mo Han**, Junseo Ko, Jeewoo Yoon, Joon Seo Hwang, Ji In Park, Gyudeok Hwang, Jae Ho Jung, Daniel Duck-Jin Hwang*, "Prediction of Neovascular Age-related Macular Degeneration Recurrence using Optical Coherence Tomography Images with a Deep Neural Network," Scientific Reports. (SCI, JCR 2021 IF = 4.996)
[2023]
Jeewoo Yoon**, Jinyoung Han**, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Daniel Duck-Jin Hwang*, "Developing and evaluating an artificial intelligence-based computer-aided diagnosis system for retinal disease: A diagnostic study for central serous chorioretinopathy," Journal of Medical Internet Research (JMIR), 25: e48142. (SCIE, JCR 2022 IF=7.4)
Kyungeun Min**, Jeewoo Yoon**, Migyeong Kang, Daeun Lee, Eunil Park, and Jinyoung Han*, "Detecting depression on video logs using audiovisual features," Humanities and Social Sciences Communications, 10, 788, Nov, 2023. (SSCI, JCR 2022 IF = 3.5)
Migyeong Yang**, Jinyoung Han**, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Jeewoo Yoon, Seong Choi, Gyudeok Hwang, Daniel Duck-Jin Hwang*, "Prediction of Visual Acuity in Pathologic Myopia with Myopic Choroidal Neovascularization Treated with Anti-Vascular Endothelial Growth Factor Using a Deep Neural Network Based on Optical Coherence Tomography Images," Biomedicines, 11(8), 2238, Aug, 2023. (SCIE, JCR 2022 IF = 4.7)
Juho Jung, Chaewon Kang, Jeewoo Yoon, Simon S. Woo, and Jinyoung Han*, "SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection," International Conference on Information and Knowledge Management (CIKM), accepted.
Seoyun Kim, HyeRim Yu, Jeewoo Yoon, and Eunil Park*, "Predicting Micro-locational Fine Dust Levels using Meteorological, Geographic, and Time-series Data," Computer Systems Science and Engineering, accepted. (SCIE, JCR 2022 IF=2.200)
Jiwon Kang, Chaewon Kang, Jeewoo Yoon, Houggeun Ji, Taihu Li, Hyunmi Moon, Minsam Ko, and Jinyoung Han*, "Dancing on the Inside: A Qualitative Study on Online Dance Learning with Teacher-AI Cooperation," Education and Information Technologies, accepted. (SSCI, JCR 2021 IF = 3.666)
Jinyoung Han**, Seong Choi**, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Junseo Ko, Jeewoo Yoon, and Daniel Duck–Jin Hwang*, "Detecting Macular Disease based on Optical Coherence Tomography using a Deep Convolutional Network," Journal of Clinical Medicine, 12(3):1005, Jan, 2023. (SCIE, JCR 2021 IF = 4.964)
[2022]
Kyeo Re Lee, Jang Hyun Kim, Jaeyeon Jang, Jeewoo Yoon, Dongyan Nam, Yonghwan Kim, and Byungjun Kim, "News big data analysis of international start-up innovation discourses through topic modeling and network analysis: comparing East Asia and North America," Asian Journal of Technology Innovation, 1-23, Oct, 2022.
Chaewon Kang, Jeewoo Yoon, Daejin Choi, Eunil Park, Sangheon Pack, and Jinyoung Han*, "TransTraffic: A Practical Approach for Low Resource Data," International Conference on ICT Convergence (ICTC), Oct, 2022.
Jeewoo Yoon, Jinyoung Han, Erik Bucy, and Jungseock Joo, "Predicting Emotional Intensity in Political Debates via Non-verbal Signals," INTERSPEECH, Sep, 2022.
Also presented at ICA2022 "Video-as-data in computational communication" Panel.
Jiwon Kang, Jeewoo Yoon, Eunil Park, and Jinyoung Han*, "Why Tag Me?: Detecting Motivations of Comment Tagging in Instagram," Expert Systems With Applications, Vol. 202, pp.117171, Sep, 2022. (SCIE, JCR 2021 IF=8.665)
Jeewoo Yoon, Chaewon Kang, Seungbae Kim, and Jinyoung Han*, "D-Vlog: Multimodal Vlog Dataset for Depression Detection," AAAI Conference on Artificial Intelligence (AAAI), Feb, 2022. (acceptance ratio = 1,345/9,251 = 14.5%)
Jinyoung Han**, Seong Choi**, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Junseo Ko, Jeewoo Yoon, Daniel Duck-Jin Hwang*, "Classifying Neovascular Age-related Macular Degeneration with a Deep Convolutional Neural Network based on Optical Coherence Tomography Images," Scientific Reports 12, 2232(2022), Feb, 2022. (SCI, JCR 2021 IF = 4.996)
Junseo Ko**, Jinyoung Han**, Jeewoo Yoon, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Kyu Hyung Park, and Daniel Duck-Jin Hwang*, "Assessing Central Serous Chorioretinopathy with Deep Learning and Multiple Optical Coherence Tomography Images," Scientific Reports 12, 1831(2022), Feb, 2022. (SCI, JCR 2021 IF = 4.996)
Jeewoo Yoon**, Jinyoung Han**, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Kyuhwan Jang, Joonhong Sohn, Kyu Hyung Park, and Daniel Duck-Jin Hwang*, "Classifying central serous chorioretinopathy subtypes with a deep neural network using optical coherence tomography images: A cross-sectional study," Scientific Reports 12, 422(2022), Jan, 2022. (SCI, JCR 2021 IF = 4.996)
Junseo Ko, Jeewoo Yoon, DaeJin Choi*, Eunil Park, Sangheon Pack, and Jinyoung Han*, "Trafficformer: A Transformer-based Traffic Predictor," IEEE International Conference on Consumer Electronics (ICCE), Jan, 2022.
[2021]
Taihu Li, Jeewoo Yoon, DaeJin Choi*, and Jinyoung Han*, "Passing to Win: Using Characteristics of Passing Information for Match Winner Prediction," International Conference on Sport Sciences Research and Technology Support (icSPORTS), September, 2021.
Daniel Duck-Jin Hwang**, Seong Choi**, Junseo Ko, Jeewoo Yoon, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Joonhong Sohn, Kyu Hyung Park, and Jinyoung Han*, "Distinguishing Retinal Angiomatous Proliferation from Polypoidal Choroidal Vasculopathy with A Deep Neural Network based on Optical Coherence Tomography," Scientific Reports 11, 9275(2021), April 2021. (SCI, JCR 2021 IF = 4.996)
[2020]
Jeewoo Yoon**, Jinyoung Han**, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Joonhong Sohn, Kyu Hyung Park, and Daniel Duck-Jin Hwang*, "Optical Coherence Tomography-based Deep-learning Model for Detecting Central Serous Chorioretinopathy," Scientific Reports 10, 18852(2020), November 2020. (SCI, JCR 2020 IF = 4.379)
Seong Choi**, Seunghoon Jeong**, Jeewoo Yoon, Migyeong Yang, Minsam Ko, Eunil Park, Jinyoung Han*, Munyoung Lee, and Seonghee Lee, "VCTUBE: A Library for Automatic Speech Data Annotation," INTERSPEECH Show & Tell, Oct. 2020.
Jeewoo Yoon, Jungseock Joo, Eunil Park, and Jinyoung Han*, "Cross-domain Classification of Facial Appearance of Leaders," International Conference on Social Informatics (SOCINFO), Oct. 2020.
Also published in Lecture Notes in Computer Science (LNCS) 12467, pp. 124-136.
Jiwon Kang, Jeewoo Yoon, and Jinyoung Han*, "Why do Instagram Users Tag Friends in Comments?," The WEB Conference (formerly WWW), April 2020. (poster)
[Domestic]
Yongmo Ku, Jeewoo Yoon, Seong Choi, Jinyoung Han*, "A Facial Re-targeting Framework with Artificial Intelligence Models for Lightweight Interaction," KoreaAI - The 4th Korea Artificial Intelligence Conference, Virtual, Oct. 2023.
Chaewon Kang, Jeewoo Yoon, Daeun Lee, Migyeong Kang, Seohyun Lim, Juho Jung, Sejung Son, and Jinyoung Han*, "Toward Natural and Intelligible Speech Synthesis: An Empirical Study on Transfer Learning," The Korean Institute of Broadcast and Media Engineers, Jeju, June. 2023.
Jeewoo Yoon, Jiwon Kang, Seunghoon Jeong, Minsam Ko, Eunil Park, and Jinyoung Han*, "A Deep Neural Network Model for Identifying Political Party based on Face Images," HCI Korea, Jeju, Feb. 2019.
Honors & Awards
[2023]
2nd Prize, Best Student Researcher Awards, Sungkyunkwan University
2nd Prize, Public-Private Partnership - Open Innovation (Multimodal Emotion Recognition), Ministry of SMEs and Startups
[2022]
1st Prize, Best Student Researcher Awards, Sungkyunkwan University
3rd Prize, 2022 NIPA Online AI Competition (Speaker Recognition), Ministry of Science and ICT
AAAI-22 Scholarship, Amazon Science
[2021]
1st Prize, Best Student Researcher Awards, Sungkyunkwan University
3rd Prize, AI Championship 2021 Grand Finals (Automatic Video Indexing), Ministry of SMEs and Startups
1st Prize, AI Championship 2021 (Automatic Video Indexing), Ministry of SMEs and Startups
2nd Prize, Fake-EmoReact Challenge, SocialNLP @NAACL (Fake News Detection)
Projects
(* = principal investigator)
[2023.04-2025.12] Advanced and Proactive AI Platform Research and Development Against Malicious Deepfakes (IITP)
[2021.07-2024.06] Developing an AI-based Video Segmentation and Content Classification System (NIPA)
[2023.04-2023.10] Developing a TTS Solution for Interactive Smart Toy Service for Infants and Toddlers (MSS)
[2022.06-2024.06] Developing a Multimodal Deep Learning Model for Understanding Videos toward Depression Detection* (NRF)
[2022.05-2024.04] Developing Artificial Intelligence Models and Korean Datasets for Detecting Suicide Risk (NRF)
[2021.06-2024.02] Study on Self-Driving B5G Networks towards Federated Private-5G (MSIT)
[2020.10-2023.09] Modeling and Analyzing a Contact Social Graph for Predicting and Managing Outbreak Disease (NRF)
[2021.09-2021.11] Developing a Multimodal Deep Learning Model for Depression Detection on Video Data (ETRI)
[2018.11-2021.10] Predicting Information Diffusion Process with Deep Learning (NRF)
[2021.05-2021.08] An Artificial Intelligence System for Addressing Social Issues (ETRI)
[2020.07-2020.11] Developing a Model for Detecting Fake News on COVID-19 (ETRI)
[2019.06-2019.11] Learning and Predicting Information Diffusion (ETRI)
[2018.05-2018.11] Big Data Research for Artificial Intelligence Applications (ETRI)
Patents
[2022. 3. 02] Seong Choi, Yongmo Ku, Jeewoo Yoon, and Junseo Ko "3D AVATAR CREATION APPARATUS AND METHOD BASED ON 3D MARKERLESS MOTION CAPTURE," PATENT-2022-0026578
Teaching Fellow
NH Data Science Course (Spring, 2022), Sungkyunkwan University
DAI5004: Advanced Machine Learning/Deep Learning (Fall 2021), Sungkyunkwan University
AAI3005: Data Mining (Spring, 2021), Sungkyunkwan University
AAI3006: Machine Learning (Spring 2020, 2021), Sungkyunkwan University
AAI2011: System Programming (Spring 2020), Sungkyunkwan University
AAI2005: Computer Architecture and System (Fall 2019), Sungkyunkwan University
AAI2007: Introduction to Algorithm (Fall 2019), Sungkyunkwan University
CSE2010: Data Structures (Spring 2018, Spring 2019), Hanyang University
Media