Publication

Table of Contents

Journal Publications

  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: Observation Impact Explanation in Atmospheric State Estimation using Hierarchical Message-Passing Graph Neural Networks. Machine Learning: Science and Technology 10/2024. (To Appear) DOI:10.1088/2632-2153/ad8981 Link

  • Minsun Cho, Marin Franot, O-Joun Lee, Sungyeop Jung: A Neural Compact Model Based-on Transfer Learning for Organic FETs with Gaussian Disorder. Journal of Materials Chemistry C 09/2024. (To Appear) DOI:10.1039/D4TC01224K Link

  • Eun-Soon You, O-Joun Lee: Training AI Experts for the Fourth Industrial Revolution Era: A Case Study of the Department of Artificial Intelligence at the Catholic University of Korea. Information and Communications Magazine 08/2024; 41(8): 23-27. (In Korean)

  • Huu-Tuong Ho, Luong Vuong Nguyen, Tra Huong Thi Le, O-Joun Lee: Face Detection Using Eigenfaces: A Comprehensive Review. IEEE Access 07/2024; 12: 118406-118426. DOI:10.1109/ACCESS.2024.3435964

  • Yeongho Sung, Hyeon-Ju Jeon, Daehun Kim, Min-Seo Kim, Jaeyeop Choi, Hwan Ryul Jo, Junghwan Oh, O-Joun Lee†, Hae Gyun Lim†: Internal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networks. npj Clean Water 07/2024; 7: 63. (†: Co-correspondence) DOI:10.1038/s41545-024-00358-x Link

  • Eun-Soon You, Sun-Jung Ryu, O-Joun Lee: A Study on the ‘Esprit’ Indices of The Barber of Seville and The Marriage of Figaro Using the Vocabulary-Based Text Analysis Tool LIWC-22. Story & Image Telling 06/2024; 27: 93-119. (In Korean) DOI:10.22758/sni.2024.27.093

  • Sun-Jung Ryu, Eun-Soon You: Literary Research Using Digital Analysis Tools: A Case Study of 『Dangerous Liaisons』. The Journal of the Convergence on Culture Technology 05/2024; 10(3): 173-180. (In Korean) DOI:10.17703/JCCT.2024.10.3.173

  • Nam-Gyu Jung, Van Thuy Hoang, O-Joun Lee†, Chang Choi†: Kiosk Recommend System based on Self-Supervised Representation Learning of User Behaviors in Offline Retail. IEEE Internet of Things Journal 05/2024; 11(10): 18686-18697. (†: Co-correspondence) DOI:10.1109/JIOT.2024.3365144 Link

  • Ji Won Nam, Hyeon-Ju Jeon, Jeong Eun Lee, O-Joun Lee†, Hae Gyun Lim†: Quantification of dysnatremia using single-beam acoustic microbeam and convolutional neural networks. IEEE Sensors Journal 04/2024; 24(7): 9626-9638. (†: Co-correspondence) DOI:10.1109/JSEN.2024.3364682

  • Eun-Soon You, Sun-Jung Ryu: Étude sur l’enseignement de la littérature française à l’ère numérique. Enseignement de Langue et Littérature Françaises 03/2024; 84: 151-187. (In Korean) DOI:10.36747/ellf84.6

  • Hyun-Cheol Park, YunSang Joo, O-Joun Lee, Kunkyu Lee, Tai-Kyong Song, Chang Choi, Moon Hyung Choi, Changhan Yoon: Automated classification of liver fibrosis stages using ultrasound imaging. BMC Medical Imaging 02/2024; 24: 36. DOI:10.1186/s12880-024-01209-4

  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee†, Hae Gyun Lim†: Diagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural network. Ultrasonics 01/2024; 136: 107167. (†: Co-correspondence) DOI:10.1016/j.ultras.2023.107167 Link

  • Eun-Soon You, Sun-Jung Ryu: New reading literature in the digital age : Construction of Albert Camus’ digital literature house. Humanities Contents 12/2023; (71): 107-135. (In Korean) DOI:10.18658/humancon.2023.12.107

  • Van Thuy Hoang, Sang Thanh Nguyen, Sangmyeong Lee, Jooho Lee, Luong Vuong Nguyen, O-Joun Lee: Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning. IEEE Access 10/2023; 11: 114238-114249. DOI:10.1109/ACCESS.2023.3324046

  • Van Thuy Hoang, Hyeon-Ju Jeon, Eun-Soon You, Yoewon Yoon, Sungyeop Jung, O-Joun Lee: Graph Representation Learning and its Applications: A Survey. Sensors 04/2023; 23(8): 4168. DOI:10.3390/s23084168

  • Yunsang Joo, Hyun-Cheol Park, O-Joun Lee, Changhan Yoon, Moon Hyung Choi, Chang Choi: Classification of Liver Fibrosis from Heterogeneous Ultrasound Image. IEEE Access 01/2023; 11: 9920-9930. DOI:10.1109/ACCESS.2023.3240216

  • Hyeon-Ju Jeon, Hae Gyun Lim, K. Kirk Shung, O-Joun Lee†, Min Gon Kim†: Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing. Scientific Reports 11/2022; 12: 19873. (†: Co-correspondence) DOI:10.1038/s41598-022-22075-6

  • Hyeon-Ju Jeon, Min-Woo Choi, O-Joun Lee: Day-ahead Hourly Solar Irradiance Forecasting based on Multi-attributed Spatio-temporal Graph Convolutional Network. Sensors 09/2022; 22(19): 7179. DOI:10.3390/s22197179

  • O-Joun Lee, Hae Gyun Lim, K. Kirk Shung, Jin-Taek Kim, Hyung Ham Kim: Automated Estimation of Cancer Cell Deformability with Machine Learning and Acoustic Trapping. Scientific Reports 04/2022; 12: 6891. DOI:10.1038/s41598-022-10882-w

  • O-Joun Lee, Seungha Hong, Jin-Taek Kim: Interinstitutional Research Team Formation Based on Bibliographic Network Embedding. Mobile Information Systems 02/2021; 2021: 6629520. DOI:10.1155/2021/6629520

  • O-Joun Lee, Eun-Soon You, Jin-Taek Kim: Plot Structure Decomposition in Narrative Multimedia by Analyzing Personalities of Fictional Characters. Applied Sciences 02/2021; 11(4): 1645. DOI:10.3390/app11041645

  • O-Joun Lee, Hyeon-Ju Jeon, Jason J. Jung: Learning Multi-Resolution Representations of Research Patterns in Bibliographic Networks. Journal of Informetrics 02/2021; 15(1): 101126. DOI:10.1016/j.joi.2020.101126 Link

  • O-Joun Lee, Heelim Hong, Eun-Soon You, Jin-Taek Kim: Discovering Social Desires and Conflicts from Subculture Narrative Multimedia. Sustainability 12/2020; 12(24): 10241. DOI:10.3390/su122410241

  • Eun-Soon You, O-Joun Lee, Jin-Taek Kim: Computational Narrative Generation: A Survey. Journal of Information Technology and Applied Engineering 06/2020; 10(1): 9-18. (In Korean), DOI:10.22733/JITAE.2020.10.01.002

  • Hae Gyun Lim†, O-Joun Lee†, K. Kirk Shung, Jin-Taek Kim, Hyung Ham Kim: Classification of Breast Cancer Cells Using the Integration of High-Frequency Single-Beam Acoustic Tweezers and Convolutional Neural Networks. Cancers 05/2020; 12(5): 1212., DOI:10.3390/cancers12051212 (†: Co-first authors) Link

  • O-Joun Lee, Jason J. Jung, Jin-Taek Kim: Learning Hierarchical Representations of Stories by Using Multi-layered Structures in Narrative Multimedia. Sensors 04/2020; 20(7): 1978., DOI:10.3390/s20071978

  • O-Joun Lee, Jason J. Jung: Story Embedding: Learning Distributed Representations of Stories based on Character Networks. Artificial Intelligence 04/2020; 281: 103235., DOI:10.1016/j.artint.2020.103235 Link

  • Nam Bui Khac Hoai, Sungrae Cho, Jason J. Jung, Joongheon Kim, O-Joun Lee, Woongsoo Na: A novel network virtualization based on data analytics in connected environment. Journal of Ambient Intelligence and Humanized Computing 01/2020; 11: 75–86., DOI:10.1007/s12652-018-1083-x Link

  • Hyeon-Ju Jeon, O-Joun Lee, Jason. J. Jung: Is Performance of Scholars Correlated to Their Research Collaboration Patterns?. Frontiers in Big Data 11/2019; 2(39)., DOI:10.3389/fdata.2019.00039 Link

  • O-Joun Lee, Jason J. Jung: Integrating character networks for extracting narratives from multimodal data. Information Processing & Management 09/2019; 56(5): 1894-1923., DOI:10.1016/j.ipm.2019.02.005 Link

  • O-Joun Lee, Jason J. Jung: Modeling affective character network for story analytics. Future Generation Computer Systems 03/2019; 92: 458-478., DOI:10.1016/j.future.2018.01.030 Link

  • Jae-Hong Park, O-Joun Lee, Jai E. Jung: Spatio-temporal query contextualization for microtext retrieval in social media. Concurrency and Computation Practice and Experience 08/2018; 30(15): e4458., DOI:10.1002/cpe.4458

  • O-Joun Lee, Jai E. Jung: Owner-Borrower Model for Recommenders in O2O Services. Mobile Networks and Applications 08/2018; 23(4): 1089-1096., DOI:10.1007/s11036-018-1073-4

  • O-Joun Lee, Yunhu Kim, Hoang Long Nguyen, Jai E. Jung: Multi-scaled Spatial Analytics on Discovering Latent Social Events for Smart Urban Services. Journal of Universal Computer Science 03/2018; 24(3): 322-337., DOI:10.3217/jucs-024-03-0322

  • Jae-Hong Park, O-Joun Lee, Joo-Man Han, Eon-Ji Lee, Jason J. Jung, Luca Carratore, Francesco Piccialli: Spatio-Temporal Contextualization of Queries for Microtexts in Social Media: Mathematical Modeling. Procedia Computer Science 09/2017; 113: 525-530., DOI:10.1016/j.procs.2017.08.317

  • Quang Dieu Tran, Dosam Hwang, O-Joun Lee, Jai E. Jung: Exploiting Character Networks for Movie Summarization. Multimedia Tools and Applications 04/2017; 76(8): 10357–10369., DOI:10.1007/s11042-016-3633-6

  • Jai E. Jung, O-Joun Lee†, Eun-Soon You, Myoung-Hee Nam: A Computational Model of Transmedia Ecosystem for Story-based Contents. Multimedia Tools and Applications 04/2017; 16(8): 10371–10388., DOI:10.1007/s11042-016-3626-5 (†: Corresponding author)

  • Hoang Long Nguyen, O-Joun Lee, Jai E. Jung, Jaehwa Park, Tai-Won Um, Hyun-Woo Lee: Event-Driven Trust Refreshment on Ambient Services. IEEE Access 03/2017; 5: 4664-4670., DOI:10.1109/ACCESS.2017.2677917

  • O-Joun Lee, Hoang Long Nguyen, Jai E. Jung, Hyun-Woo Lee, Tai-Won Um: Towards Ontological Approach on Trust-Aware Ambient Services. IEEE Access 02/2017; 5: 1589-1599., DOI:10.1109/ACCESS.2017.2663407

  • O-Joun Lee, Jai E. Jung: Sequence Clustering-based Automated Rule Generation for Adaptive Complex Event Processing. Future Generation Computer Systems 01/2017; 66: 100–109., DOI:10.1016/j.future.2016.02.011 Link

  • O-Joun Lee, Min-sung Hong, Jason J. Jung, Juhyun Shin, Pankoo Kim: Adaptive Collaborative Filtering Based on Scalable Clustering for Big Recommender Systems. Acta Polytechnica Hungarica 02/2016; 13(2): 179-194., DOI:10.12700/APH.13.2.2016.2.10

Conference Proceedings

  • Minsun Cho, Jinwoo Jung, Taeheon Lee, Wolfgang Goes, Ahmed Nejim, O-Joun Lee, Sungyeop Jung: Data-Driven Auto-Calibration of a Dynamic Compact Model for Resistive Switching Memories. The 2024 Wiley Forum Fall Meeting, Seoul, Korea; 10/2024.

  • Luong Vuong Nguyen, Quoc-Trinh Vo, Cao Vu Bui, Thi-Thu-Hong Phan, O-Joun Lee: Knowledge Graph-based Recommender Systems: A Case Study on Movie Domain. The 15th International Conference on ICT Convergence (ICTC 2024), Jeju, Korea; 10/2024.

  • Huu-Tuong Ho, Minh-Tien Pham, Quang-Duong Tran, Quang-Huy Pham, Quang Dieu Tran, Nguyen Ngoc Phi, O-Joun Lee, Luong Vuong Nguyen: MoviePoster-Grounded Contextual Visualization Using Multimodal Techniques. The 3rd International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam; 09/2024.

  • Daehun Kim, Hyeon-Ju Jeon, Yeongho Sung, Jin Hyeong Park, O-Joun Lee, Hae Gyun Lim: Real-time tracking system for red tides through acoustic signals and artificial intelligence. The 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS 2024), Taipei, Taiwan; 09/2024.

  • Minsun Cho, O-Joun Lee, Sungyeop Jung: A Neural Compact Model Based on Transfer Learning for Organic FETs. The 245th Electrochemical Society (ECS) Meeting, San Francisco, CA, USA; 05/2024.

  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation. The Explainable Machine Learning for Sciences Workshop (XAI4Sci) held in conjunction with the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada; 02/2024. Link

  • Van Thuy Hoang, O-Joun Lee: Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity. The 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada; 02/2024. DOI:10.1609/aaai.v38i11.29138 Link

  • Daehun Kim, Hyeon-Ju Jeon, O-Joun Lee, Hae Gyun Lim: Development of an Automatic Monitoring System for Ultrasound Signals Using Artificial Intelligence and Convolutional Neural Networks. The 2023 Annual Conference of Korea Information Processing Society, Busan, Korea; 11/2023 (Poster; in Korean)

  • So Yeon Moon, Hyeon-Ju Jeon, Yeongho Sung, Min-Seo Kim, Daehun Kim, Jaeyeop Choi, Junghwan Oh, O-Joun Lee, Hae Gyun Lim: Dual-mode diagnosis system for water quality and corrosion in pipe using convolutional neural networks (CNN) and ultrasound. The 2023 Annual Conference of Korea Information Processing Society, Busan, Korea; 11/2023 (Poster; in Korean)

  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee, Hae Gyun Lim: Blood Glucose Classification Using high-Frequency Ultrasound and Artificial Intelligence. The 2023 IEEE International Ultrasonics Symposium (IEEE IUS 2023), Montreal, Canada; 09/2023. (Poster)

  • Ji Won Nam, Hyeon-Ju Jeon, Jeong Eun Lee, O-Joun Lee, Hae Gyun Lim: Classification of Red Blood Cells for the Diagnosis of dysnatremia Based on Ultrasound and Convolutional Neural Networks. The 2023 IEEE International Ultrasonics Symposium (IEEE IUS 2023), Montreal, Canada; 09/2023. (Poster)

  • Akshat Gaurav, Varsha Arya, Kwok Tai Chui, Brij B. Gupta, Chang Choi, O-Joun Lee: Long Short-Term Memory Network (LSTM) based Stock Price Prediction. The 2023 ACM International Conference on Research in Adaptive and Convergent Systems (RACS 2023), Gdańsk, Poland; 08/2023. DOI:10.1145/3599957.3606240

  • Minsun Cho, O-Joun Lee, Sungyeop Jung: An Artificial Neural Network-based Compact Model for Organic Field-Effect Transistors with the Gaussian Disorder Model. The 2023 Asia-Pacific Workshop on Advanced Semiconductor Devices (AWAD 2023), Yokohama, Japan; 07/2023. (Poster)

  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee, Hae Gyun Lim: A Potential Tool of Non-Invasive Diabetes Diagnosis using High-Frequency Ultrasound and Convolutional Neural Networks. The 2023 Spring Conference of The Acoustical Society of Korea, Jeju, Korea; 06/2023. (Poster; in Korean)

  • Ji Won Nam, Hyeon-Ju Jeon, Jeong Eun Lee, O-Joun Lee, Hae Gyun Lim: Automated Dysnatremia Measurement using Ultrasound Signals and Convolutional Neural Networks. The 2023 Spring Conference of The Acoustical Society of Korea, Jeju, Korea; 06/2023. (Poster; in Korean)

  • Daehun Kim, Hyeon-Ju Jeon, Hye Yun Jeong, O-Joun Lee, Hae Gyun Lim: Automatic Monitoring System for Red Tide Detection using Ultrasonic Signals and Convolutional Neural Networks. The 2023 Spring Conference of The Acoustical Society of Korea, Jeju, Korea; 06/2023. (Poster; in Korean)

  • San-Hee Park, Kang-Min Kim, O-Joun Lee, Youjin Kang, Jaewon Lee, Su-Min Lee, SangKeun Lee: “Why do I feel offended?” - Korean Dataset for Offensive Language Identification. Findings of the Association for Computational Linguistics - The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), Dubrovnik, Croatia; 05/2023. DOI:10.18653/v1/2023.findings-eacl.85 Link

  • Min-Woo Choi, Hyeon-Ju Jeon, Joo-Ho Lee, O-Joun Lee: Topographic-aware wind forecasting system using multi-modal spatio-temporal graph neural network. The 2023 Conference of Korea Institute of Smart Media (KISM 2023), Jeju, Korea; 04/2023. (in Korean)

  • Ho-Beom Kim, Joo-Ho Lee, O-Joun Lee: Detection of Influential Unethical Expressions through Construction of a Spread Graph for Unethical Expression Propagation. The 2023 Conference of Korea Institute of Smart Media (KISM 2023), Jeju, Korea; 04/2023. (in Korean)

  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee, Hae Gyun Lim: High-frequency ultrasound and convolutional neural network: A Potential tool for diagnosis of diabetes mellitus. Samsung Global Technology Symposium, Seoul, Korea; 04/2023. (Poster; in Korean)

  • Ji-Yoon Song, Se-Eun Cho, Joo-Ho Lee, Yeong-Min Kim, Hye-Bin Ahn, O-Joun Lee: Context-aware Cross-domain Recommendation System for Retail Kiosk. The 2022 Conference of Korea Institute of Smart Media (KISM 2022), Daejeon, Korea; 06/2022 (in Korean).

  • Won-Sik Oh, Se-Eun Cho, Ji-Yoon Song, Hye-Bin Ahn, O-Joun Lee: News Article Recommendation and Curation System based on Document Embedding and Keyword Extraction. The 2022 Conference of Korea Institute of Smart Media (KISM 2022), Daejeon, Korea; 06/2022. (in Korean)

  • Nam D Vo, O-Joun Lee, Khac-Hoai Nam Bui, Hae Gyun Lim, Hyeon-Ju Jeon, Phuong-Mai Nguyen, Jin-Taek Kim, Bui Quang Tuyen, Jason J Jung, Thuy Anh Vo: Computing4Human 2021: The 2nd International Conference on Human-centered Artificial Intelligence. The 2nd International Conference on Human-centered Artificial Intelligence (Computing4Human 2021), Da Nang, Vietnam; 10/2021. (Editorial)

  • Hyeon-Ju Jeon, Gyu-Sik Choi, Se-Young Cho, Hanbin Lee, Hee Yeon Ko, Jason J Jung, O-Joun Lee, Myeong-Yeon Yi: Learning Contextual Representations of Citations via Graph Transformer. The 2nd International Conference on Human-centered Artificial Intelligence (Computing4Human 2021), Da Nang, Vietnam; 10/2021.

  • O-Joun Lee, Jin-Taek Kim, Eun-Soon You: Quantifying Conflicts in Narrative Multimedia by Analyzing Visual Storytelling Techniques. The 2nd International Conference on Human-centered Artificial Intelligence (Computing4Human 2021), Da Nang, Vietnam; 10/2021.

  • O-Joun Lee, Jason J Jung: Story Embedding: Learning Distributed Representations of Stories based on Character Networks (Extended Abstract). The 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) and the 17th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2020), Yokohama, Japan; 01/2021. DOI:10.24963/ijcai.2020/709 Link

  • O-Joun Lee, Sung Youn Park, Jin-Taek Kim: IdeaNet: Potential Opportunity Discovery for Business Innovation. Artificial Intelligence for Narratives Workshop (AI4Narratives 2020) held in conjunction with the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) and the 17th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2020), Yokohama, Japan; 01/2021. Link

  • O-Joun Lee, Jin-Taek Kim, Eun-Soon You: Towards Story-based Summarization of Narrative Multimedia. The 2020 ACM International Conference on Intelligent Computing and its Emerging Applications (ICEA 2020), Gangwon, Korea; 12/2020. DOI:10.1145/3440943.3444719

  • O-Joun Lee, Jin-Taek Kim: Learning Multi-modal Representations of Narrative Multimedia: a Case Study of Webtoons. The 2020 ACM International Conference on Research in Adaptive and Convergent Systems (RACS 2020), Gwangju, Korea; 10/2020. DOI:10.1145/3400286.3418216

  • O-Joun Lee, Jin-Taek Kim: Measuring Narrative Fluency by Analyzing Dynamic Interaction Networks in Textual Narratives. The 3rd Workshop on Narrative Extraction From Texts (Text2Story 2020), co-located with the 42nd European Conference on Information Retrieval (ECIR 2020), Lisbon, Portugal; 04/2020. Link

  • Jin-Taek Kim, Jason J. Jung, Eunsoon You, O-Joun Lee: Computing4Human 2020: The 1st International Workshop on Computational Humanities and Social Sciences. The 1st International Workshop on Computational Humanities and Social Sciences (Computing4Human 2020), Pohang, Korea; 02/2020. (Editorial)

  • O-Joun Lee, Jin-Taek Kim: Discovering Mise-en-scène in Movies by Analyzing Scripts. The 1st International Workshop on Computational Humanities and Social Sciences (Computing4Human 2020), Pohang, Korea; 02/2020.

  • O-Joun Lee, Jason J Jung: Computational Narrative Representation and Analytics. The 2nd International Conference on AI Humanities (ICAIH 2019), Seoul, Republic of Korea; 08/2019.

  • Luong Vuong Nguyen, O-Joun Lee, Hoang Long Nguyen, Sojung An, Jason J. Jung, Yue-Shan Chang: Crowdsourcing System for Measuring Cognitive Similarity in Recommendation System. 2019 ISSAT International Conference on Data Science in Business, Finance and Industry, Da Nang, Vietnam; 07/2019.

  • O-Joun Lee, Jason J. Jung: Character Network Embedding-based Plot Structure Discovery in Narrative Multimedia. The 9th International Conference on Web Intelligence, Mining and Semantics (WIMS 2019), Seoul, Korea; 06/2019. DOI:10.1145/3326467.3326485

  • O-Joun Lee, Nayoung Jo, Jason J. Jung: Measuring Character-based Story Similarity by Analyzing Movie Scripts. The 1st Workshop on Narrative Extraction From Text (Text2Story 2018), co-located with the 40th European Conference on Information Retrieval (ECIR 2018), Grenoble, France; 03/2018. Link

  • O-Joun Lee, Jason J. Jung: Explainable Movie Recommendation Systems by using Story-based Similarity. The workshop on Explainable Smart Systems (ExSS 2018), held in conjunction with the 23rd International Conference on Intelligent User Interfaces (IUI 2018), Tokyo, Japan; 03/2018. Link

  • Jason J. Jung, Minsung Hong, O-Joun Lee, Jaehong Park, Chang Choi: Towards Affective Lifelogging with Information Fusion. The 13th International Conference on Intelligent Environments (IE 2017), Seoul, Korea; 08/2017. DOI:10.1109/IE.2017.25

  • O-Joun Lee, Jason J. Jung: Affective Character Network for Understanding Plots of Narrative Contents. The 1st International Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2016), Murcia, Spain; 11/2016.

  • O-Joun Lee, Jason J. Jung, Eunsoon You: Predictive Clustering for Performance Stability in Collaborative Filtering Techniques. The 2nd IEEE International Conference on Cybernetics (CYBCONF 2015), Gdynia, Poland; 06/2015. DOI:10.1109/CYBConf.2015.7175905

  • Min-Sung Hong, O-Joun Lee, Jason J. Jung: Adaptive Clustering for Scalable Collaborative Filtering in Recommender Systems. The 3rd International Conference on Smart Media and Applications (SMA 2014), Chiang Mai, Thailand; 12/2014.

  • Min-Sung Hong, O-Joun Lee, Gyu-Chan Lim, Se-Jun Park, Seung-Hoon Kim, Jae-Dong Lee: Meta-data Configuration and Learning Technique for Wellness Content Recommendation. International Conference on Computer Applications and Information Processing Technology (CAIPT 2014), Ulaanbaatar, Mongolia; 06/2014.

Book Chapters

  • Nam Bui Khac Hoai, Sungrae Cho, Jason J. Jung, Joongheon Kim, O-Joun Lee, Woongsoo Na: Network Engineering: Towards Data-Driven Framework for Network Configuration. Big Data Technologies and Applications, 11/2018: pages 60-65; Springer, Cham., ISBN: 978-3-319-98751-4, DOI:10.1007/978-3-319-98752-1_7

  • Quang Dieu Tran, Dosam Hwang, O.-Joun Lee, Jason J. Jung: A Novel Method for Extracting Dynamic Character Network from Movie. Big Data Technologies and Applications, Edited by Jason J. Jung, Pankoo Kim, 06/2017: pages 48-53; Springer International Publishing., ISBN: 978-3-319-58967-1, DOI:10.1007/978-3-319-58967-1_6

  • Khac-Hoai Nam Bui, O-Joun Lee, Jason J. Jung, David Camacho: Dynamic Traffic Light Control System Based on Process Synchronization Among Connected Vehicles. Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016), Edited by Helena Lindgren, Juan F. De Paz, Paulo Novais, Antonio Fernández-Caballero, Hyun Yoe, Andres Jiménez Ramírez, Gabriel Villarrubia, 05/2016: pages 77-85; Springer., ISBN: 978-3-319-40113-3, DOI:10.1007/978-3-319-40114-0_9

  • Khac-Hoai Nam Bui, Xuan Hau Pham, Jason J. Jung, O-Joun Lee, Min-Sung Hong: Context-Based Traffic Recommendation System. Context-Aware Systems and Applications, Edited by Cong Vinh Phan, Alagar Vangalur, 04/2016: pages 122-131; Springer International Publishing., ISBN: 978-3-319-29235-9, DOI:10.1007/978-3-319-29236-6_13

  • Myeong-Yeon Yi, O-Joun Lee, Jason J. Jung: MBTI-based Collaborative Recommendation System: A Case Study of Webtoon Contents. Context-Aware Systems and Applications, Edited by Cong Vinh Phan, Alagar Vangalur, 04/2016: pages 101-110; Springer International Publishing., ISBN: 978-3-319-29236-6, DOI:10.1007/978-3-319-29236-6_11

  • O-Joun Lee, Eunsoon You, Min-Sung Hong, Jason J. Jung: Adaptive Complex Event Processing Based on Collaborative Rule Mining Engine. Intelligent Information and Database Systems, Edited by Ngoc Thanh Nguyen, Bogdan Trawiński, Raymond Kosala, 03/2015: pages 430–439; Springer International Publishing., ISBN: 978-3-319-15701-6, DOI:10.1007/978-3-319-15702-3_42

Unpublished Manuscripts

  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks. arXiv preprint 02/2024; arXiv:2402.14861. (Preprint)

  • Van Thuy Hoang, O-Joun Lee: A Survey on Structure-Preserving Graph Transformers. arXiv preprint 01/2024; arXiv:2401.16176. (Preprint)

  • Van Thuy Hoang, O-Joun Lee: Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures. arXiv preprint 12/2023; arXiv:2312.16788. (Preprint)

  • Van Thuy Hoang, Sang Thanh Nguyen, Sangmyeong Lee, Jooho Lee, Luong Vuong Nguyen, O-Joun Lee: Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning. arXiv preprint 09/2023; arXiv:2309.03219. (Preprint)

  • Van Thuy Hoang, O-Joun Lee: Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity. arXiv preprint 08/2023; arXiv:2308.09517. (Preprint)

  • Thanh Sang Nguyen, Jooho Lee, Van Thuy Hoang, O-Joun Lee: Connector 0.5: A unified framework for graph representation learning. arXiv preprint 04/2023; arXiv:2304.13195. (Preprint)

Open Datasets

  • Jooho Lee, Yoewon Yoon, O-Joun Lee: Korean News Corpus for Changes in Child Abuse before and after COVID-19 Outbreak. Figshare 08/2023. DOI:10.6084/m9.figshare.24025491.v1 (Dataset)

  • Eun-Soon You, Hyeon-Ju Jeon, O-Joun Lee: A Social Network of Characters Appeared in the French Novel Series “La Comédie humaine” and An Interaction Network of Novels in the Series. Figshare 08/2023. DOI:10.6084/m9.figshare.23994078.v1 (Dataset)

  • Eun-Soon You, Hyeon-Ju Jeon, O-Joun Lee: A Dynamic Social Network of Characters Appeared in the French Novel “Les Liaisons Dangereuses”. Figshare 08/2023. DOI:10.6084/m9.figshare.23993748.v1 (Dataset)

Patents

  • O-Joun Lee, Van Thuy Hoang, Ho Beom Kim, Jinho Seo, Seung Charlie Kim, Nox Kim: System and Method for Predicting Availability based on Knowledge Graph. Ref. No: KR 1020230171167, 11/2022

  • Young Man Kwon, Seok Jeong, O-Joun Lee, Joo-Ho Lee, Ji-Yoon Song: System for Providing Context Awareness based Cross-Domain Recommendation Service for Retail Kiosk. Ref. No: KR 1020220087796, 07/2022

  • Jason J. Jung, O-Joun Lee: Method and apparatus for content analysis including story. Ref. No: KR 1020180058510, 05/2018

  • Jason J. Jung, Jaehong Park, O-Joun Lee, Min-Sung Hong: Server and Method for providing search results using SNS date, Recording medium for performing the method. Ref. No: KR 1020170165067, 12/2017

  • Jason J. Jung, Min-Sung Hong, O-Joun Lee: Apparatus and Method for recommending item to user group using emotion information. Ref. No: KR1020170042015, 03/2017

  • Jason J. Jung, Min-Sung Hong, O-Joun Lee: Apparatus and Method for recommending item for user group. Ref. No: KR1020170033241, 03/2017

  • Jason J. Jung, O-Joun Lee: Method and Apparatus for matching identification information of plurality of SNS. Ref. No: KR 1020150128425, 09/2015

  • Jason J. Jung, O-Joun Lee: Event processing system, Event processing method and Computer program. Ref. No: KR1020150099077, 07/2015

  • Hyun-Sik Kim, Seung-Bo Park, Eun-Soon You, O-Joun Lee, Byung Joon Cho: APPARATUS AND METHOD FOR SUPPORTING WRITER BY TRACING CONVERSATION BASED ON TEXT ANALYSIS. Ref. No: KR1020150057199, 04/2015

  • O-Joun Lee, Eun-Soon You, Byung Joon Cho: APPARATUS AND METHOD FOR PREDICTIVE CLUSTERING-BASED COLLABORATIVE FILTERING. Ref. No: KR1020150042144, 03/2015

  • Jae-Dong Lee, Seung-Hun Kim, Min-Sung Hong, Kee-Won Kim, O-Joun Lee, Won-Jin Lee: APPARATUS FOR ANALYZING CONTENTS AND METHOD THEREOF. Ref. No: KR1020140093024, 07/2014

  • O-Joun Lee, Jae-Dong Lee, Won-Jin Lee, Seung-Bo Park, Min-Sung Hong, Gyu-Chan Lim: APPARATUS AND METHOD FOR HYBRID FILTERING CONTENT RECOMMENDATION USING USER PROFILE AND CONTEXT INFORMATION BASED ON PREFERENCE. Ref. No: KR1020140027866, 03/2014

  • O-Joun Lee, Jae-Dong Lee, Seung-Hun Kim, Won-Jin Lee, Seung-Bo Park, Min-Sung Hong, Se-Jun Park: APPARATUS AND METHOD FOR PREDICTING USER FEED BACK IN COLLABORATIVE RECOMMENDATION SYSTEM. Ref. No: KR1020140027865, 03/2014

Awards & Grants

  • Dec 2023: Van Thuy Hoang, “Excellence in Research Award”, The 2nd CUK Annual Colloquium on Artificial Intelligence (CUK AI Colloquium 2023), Bucheon, Korea

  • Dec 2022: Sang Thanh Nguyen, “Excellence in Research Award”, The 1st CUK Annual Colloquium on Artificial Intelligence (CUK AI Colloquium 2022), Seoul, Korea

  • Jun 2022: Jiyoon Song, Se Eun Cho, Jooho Lee, Yeongmin Kim, Hyebin Ahn, O-Joun Lee, “Best Paper Award”, The 2022 Conference of Korea Institute of Smart Media (KISM), Daejeon, Korea

Invited Talks

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  • O-Joun Lee: Heterogeneous Network Embedding and its Applications. The 2021 Fall Conference of Korean Institute of Smart Media, Gwangju, Korea, 11/2021

  • O-Joun Lee: Trends in Interdisciplinary Research and Collaboration Opportunities. Vietnam National University, Hanoi - International School (VNU - IS), Virtual, 09/2021

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Posters












Journal Cover Articles