Jeongseon Kim*, Soohwan Jeong, Jungeun Kim, and Sungsu Lim†, “Bridges in Social Networks: Current Status and Challenges.” PeerJ Computer Science (SCIE, IF(2024): 2.5, Q2) [paper]
Soohwan Jeong*, Jongmin Park*, Mingyu Choi*, Yongjin Kwon† and Sungsu Lim†, “LLM-powered Scene Graph Representation Learning for Image Retrieval via Visual Triplet-based Graph Transformation.” Expert System With Applications (SCIE, IF(2023): 7.5, Q1 / top 10%) [paper]
Soohwan Jeong*, Jeongseon Kim, Byung Suk Lee, Sungsu Lim†, “User Tendency Based Rating Scaling in Online Trading Networks.” Plos ONE (SCIE, IF(2023): 2.9, Q1) [paper]
Soohwan Jeong*, Jongmin Park, Sungsu Lim†, “mr2vec: Multiple Role-based Social Network Embedding.” Pattern Recognition Letters (SCIE, IF(2023): 3.9, Q2) [paper]
Jongmin Park*, Soohwan Jeong, Byung suk Lee, Sungsu Lim†, “MIGTNet: Metapath Instance-Based Graph Transformation Network for Heterogeneous graph Embedding.” Future Generation Computer Systems (SCIE, IF(2023): 6.2, Q1 /top 10%) [paper]
Soohwan Jeong*, Chonghyo Joo, Jongkoo Lim, Hyungtae Cho, Sungsu Lim† and Junghwan Kim†, “A novel graph-based missing values imputation method for lubricant data.” Computers in Industry (SCIE, IF(2023):8.2, Q1 / top 10%) [paper]
Soohwan Jeong*, Jonghun Lim, Seok Il Hong, Soon Chul Kwon, Jae Yun Shim, Yup Yoo, Hyungtae Cho, Sungsu Lim† and Junghwan Kim†, “A framework for right-first-time dyeing using novel exhaustion-rate meter and multi-layer perceptron-based prediction model.” Process Safety and Environmental Protection (SCIE, IF(2023): 6.9, Q1) [paper]
Jonghun Lim*, Soohwan Jeong*, Junghwan Kim†, “Deep neural network-based optimal selection and blending ratio of waste seashells as an alternative to high-grade limestone depletion for SOX capture and utilization.” Chemical Engineering Journal (SCIE, IF(2022): 15.1, Q1 / top 10%) [paper]
Jeongseon Kim*, Soohwan Jeong, and Sungsu Lim†, “Link Pruning for Community Detection in Social Networks.” Applied Sciences (SCIE, IF(2022): 2.7, Q2) [paper]
[Under Review] First-author manuscript submitted to CIKM 2025 (double-blind review), focusing on “Knowledge graph with LLMs”.
[Under Review] First-author manuscript submitted to EMNLP 2025 (double-blind review), focusing on “Text modeling with heterogeneous graph & LLMs”.
Jongmin Park*, Seunghoon Han, Soohwan Jeong, and Sungsu Lim†, “Hyperbolic Heterogeneous Graph Attention Networks.” WWW 2024 (short paper), May 2024.
Soohwan Jeong* and Sungsu Lim†, “Role-based Multi-aspect Network Embedding.” INFORMS Annual Meeting 2021, Oct. 2021.
Jonghun Lim*, Soohwan Jeong*, Sungsu Lim, Hyungtae Cho, Jaeyun Shim, Seok Il Hong, Soonchul Kwon, Heedong Lee, Il Moon, Junghwan Kim†, “Development of Dye Exhaustion Behavior Prediction Model using Deep Neural Network.” International Symposium on Process Systems Engineering PSE2021+.
정수환*, 박종민, 김준영†, 윤수식†, 임성수†, “이종 그래프 기반 구조적 정보 활용과 문맥적 정렬을 통한 다중 레이블 텍스트 분류.” HCLT 2025, 2025년 10원.
김환*, 정수환, 임성수†, “항로표지 고장예측 서비스를 위한 기계학습 모델 연구.” 한국항해항만학회, 2022년 6월.
정수환*, 성낙현, 김정환, 임성수†, “역할 정보를 반영한 다중 네트워크 임베딩.”, 한국소프트웨어종합학술대회, 2021년 12월.
임종훈*, 정수환, 조형태, 김태복, 박한신, 김정환, “Optimal operation of sootblowing system using a modified Q-learning algorithm to maximize recovery boiler efficiency.”, 한국공업화학회 추계 학술대회, 2021년 11월. 우수 논문상
김정환, 임종훈, 정수환, 조형태, “Machine learning based cost optimization of wet flue gas desulfurization system using waste sea shells as high-grade limestone substitutes.”, 한국공업화학회 추계 학술대회, 2021년 11월.
김정선*, 정수환, 임성수†, “링크 속성 기반 분류를 통한 커뮤니티 발견.”, 정보과학회논문지, 48(8):959-965, 2021년 8월. (초청논문)
정수환*, 박종민*, 임성수†, “그래프 클러스터링을 위한 삼각 분할 기반 임베딩.”, 한국소프트웨어종합학술대회, 2019년 12월. 학부생논문 장려상