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ORCIDO-Joun Lee
Person information
- unicode name: 이오준
- affiliation: Chung-Ang University, Seoul, South Korea
- affiliation (former): Dankook University, Yongin, Gyeonggi-do, South Korea
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Journal Articles
- 2024
[j23]Huu-Tuong Ho
, Luong Vuong Nguyen, Tra Huong Thi Le, O-Joun Lee:
Face Detection Using Eigenfaces: A Comprehensive Review. IEEE Access 12: 118406-118426 (2024)- [j22]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 24(1): 36 (2024) - [j21]Namgyu 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 Things J. 11(10): 18686-18697 (2024) - 2023
- [j20]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 11: 9920-9930 (2023) - [j19]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 11: 114238-114249 (2023) - [j18]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 23(8): 4168 (2023) - 2022
- [j17]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 22(19): 7179 (2022) - 2021
- [j16]O-Joun Lee, Hyeon-Ju Jeon, Jason J. Jung:
Learning multi-resolution representations of research patterns in bibliographic networks. J. Informetrics 15(1): 101126 (2021) - [j15]O-Joun Lee, Seungha Hong, Jin-Taek Kim:
Interinstitutional Research Team Formation Based on Bibliographic Network Embedding. Mob. Inf. Syst. 2021: 6629520:1-6629520:12 (2021) - 2020
- [j14]O-Joun Lee, Jason J. Jung:
Story embedding: Learning distributed representations of stories based on character networks. Artif. Intell. 281: 103235 (2020) - [j13]Khac-Hoai Nam Bui, Sungrae Cho, Jason J. Jung, Joongheon Kim, O-Joun Lee, Woongsoo Na:
A novel network virtualization based on data analytics in connected environment. J. Ambient Intell. Humaniz. Comput. 11(1): 75-86 (2020) - [j12]O-Joun Lee, Jason J. Jung, Jin-Taek Kim:
Learning Hierarchical Representations of Stories by Using Multi-Layered Structures in Narrative Multimedia. Sensors 20(7): 1978 (2020) - 2019
- [j11]Hyeon-Ju Jeon, O-Joun Lee, Jason J. Jung:
Is Performance of Scholars Correlated to Their Research Collaboration Patterns? Frontiers Big Data 2: 39 (2019) - [j10]O-Joun Lee, Jason J. Jung:
Modeling affective character network for story analytics. Future Gener. Comput. Syst. 92: 458-478 (2019) - [j9]O-Joun Lee, Jason J. Jung:
Integrating character networks for extracting narratives from multimodal data. Inf. Process. Manag. 56(5): 1894-1923 (2019) - 2018
- [j8]Jae-Hong Park, O-Joun Lee, Jai E. Jung:
Spatio-temporal query contextualization for microtext retrieval in social media. Concurr. Comput. Pract. Exp. 30(15) (2018) - [j7]O-Joun Lee, Yunhu Kim, Hoang Long Nguyen, Jai E. Jung:
Multi-scaled Spatial Analytics on Discovering Latent Social Events for Smart Urban Services. J. Univers. Comput. Sci. 24(3): 322-337 (2018) - [j6]O-Joun Lee, Jai E. Jung:
Owner-Borrower Model for Recommenders in O2O Services. Mob. Networks Appl. 23(4): 1089-1096 (2018) - 2017
- [j5]O-Joun Lee, Hoang Long Nguyen, Jai E. Jung, Tai-Won Um, Hyun-Woo Lee:
Towards Ontological Approach on Trust-Aware Ambient Services. IEEE Access 5: 1589-1599 (2017) - [j4]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 5: 4664-4670 (2017) - [j3]O-Joun Lee, Jai E. Jung:
Sequence Clustering-based Automated Rule Generation for Adaptive Complex Event Processing. Future Gener. Comput. Syst. 66: 100-109 (2017) - [j2]Quang Dieu Tran, Dosam Hwang, O-Joun Lee, Jai E. Jung:
Exploiting character networks for movie summarization. Multim. Tools Appl. 76(8): 10357-10369 (2017) - [j1]Jai E. Jung, O-Joun Lee, Eun-Soon You, Myoung-Hee Nam:
A computational model of transmedia ecosystem for story-based contents. Multim. Tools Appl. 76(8): 10371-10388 (2017)
Conference and Workshop Papers
- 2024
- [c21]Van Thuy Hoang, O-Joun Lee:
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity. AAAI 2024: 12456-12465 - 2023
- [c20]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. EACL (Findings) 2023: 1112-1123 - [c19]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. RACS 2023: 35:1-35:6 - 2020
- [c18]O-Joun Lee, Jin-Taek Kim:
Measuring Narrative Fluency by Analyzing Dynamic Interaction Networks in Textual Narratives. Text2Story@ECIR 2020: 15-22 - [c17]O-Joun Lee, Jin-Taek Kim, Eun-Soon You:
Towards Story-based Summarization of Narrative Multimedia. ICEA 2020: 9:1-9:5 - [c16]O-Joun Lee, Sung Youn Park, Jin-Taek Kim:
IdeaNet: Potential Opportunity Discovery for Business Innovation. AI4Narratives@IJCAI 2020: 5-8 - [c15]O-Joun Lee, Jason J. Jung:
Story Embedding: Learning Distributed Representations of Stories based on Character Networks (Extended Abstract). IJCAI 2020: 5070-5074 - [c14]O-Joun Lee, Jin-Taek Kim:
Learning Multi-modal Representations of Narrative Multimedia: a Case Study of Webtoons. RACS 2020: 1-6 - 2019
- [c13]O-Joun Lee, Jason J. Jung:
Character Network Embedding-based Plot Structure Discovery in Narrative Multimedia. WIMS 2019: 15:1-15:9 - 2018
- [c12]O-Joun Lee, Nayoung Jo, Jason J. Jung:
Measuring Character-based Story Similarity by Analyzing Movie Scripts. Text2Story@ECIR 2018: 41-45 - [c11]O-Joun Lee, Jason J. Jung:
Explainable Movie Recommendation Systems by using Story-based Similarity. IUI Workshops 2018 - 2017
- [c10]Khac-Hoai Nam Bui, Sungrae Cho, Jason J. Jung, Joongheon Kim, O-Joun Lee, Woongsoo Na:
Network Engineering: Towards Data-Driven Framework for Network Configuration. BDTA 2017: 60-65 - [c9]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. EUSPN/ICTH 2017: 525-530 - [c8]Jason J. Jung, Min-Sung Hong, O-Joun Lee, Jae-Hong Park, Chang Choi:
Towards Affective Lifelogging with Information Fusion. Intelligent Environments 2017: 153-154 - 2016
- [c7]O-Joun Lee, Jason J. Jung:
Affective Character Network for Understanding Plots of Narrative Contents. AfCAI 2016 - [c6]Quang Dieu Tran, Dosam Hwang, O-Joun Lee, Jason J. Jung:
A Novel Method for Extracting Dynamic Character Network from Movie. BDTA 2016: 48-53 - [c5]Khac-Hoai Nam Bui, O-Joun Lee, Jason J. Jung, David Camacho:
Dynamic Traffic Light Control System Based on Process Synchronization Among Connected Vehicles. ISAmI 2016: 77-85 - 2015
- [c4]O-Joun Lee, Eunsoon You, Min-Sung Hong, Jason J. Jung:
Adaptive Complex Event Processing Based on Collaborative Rule Mining Engine. ACIIDS (1) 2015: 430-439 - [c3]O-Joun Lee, Jason J. Jung, Eunsoon You:
Predictive Clustering for performance stability in collaborative filtering techniques. CYBCONF 2015: 48-55 - [c2]Myeong-Yeon Yi, O-Joun Lee, Jason J. Jung:
MBTI-Based Collaborative Recommendation System: A Case Study of Webtoon Contents. ICCASA 2015: 101-110 - [c1]Khac-Hoai Nam Bui, Xuan Hau Pham, Jason J. Jung, O-Joun Lee, Min-Sung Hong:
Context-Based Traffic Recommendation System. ICCASA 2015: 122-131
Informal and Other Publications
- 2024
- [i7]Van Thuy Hoang, O-Joun Lee:
A Survey on Structure-Preserving Graph Transformers. CoRR abs/2401.16176 (2024) - [i6]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. CoRR abs/2402.14861 (2024) - [i5]Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee:
Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation. CoRR abs/2403.17384 (2024) - 2023
- [i4]Thanh-Sang Nguyen, Jooho Lee, Van Thuy Hoang, O-Joun Lee:
Connector 0.5: A unified framework for graph representation learning. CoRR abs/2304.13195 (2023) - [i3]Van Thuy Hoang, O-Joun Lee:
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity. CoRR abs/2308.09517 (2023) - [i2]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. CoRR abs/2309.03219 (2023) - [i1]Van Thuy Hoang, O-Joun Lee:
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures. CoRR abs/2312.16788 (2023)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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