A methodology for finding source-level vulnerabilities of the Linux kernel variables. - Jaekwang Kim 001; Jee-Hyong Lee 001 (IJCNN, 2008)

An Approach of Splitting Web Sequential Access Log for Accurate Web Recommendation. - KwangHo Yoon; Jaekwang Kim 001; Seunghoon Lee; Jee-Hyong Lee 001 (CSA, 2009)

A vulnerability recommendation system in linux kernel variables. - Jaekwang Kim 001; Bo Kyeong Kim; Seunghun Lee; Jee-Hyong Lee 001 (FUZZ-IEEE, 2009)

An m-EVBT algorithm for energy efficient routing in wireless sensor networks. - Jaekwang Kim 001; KwangHo Yoon; Seunghoon Lee; Je-hee Jung; Jee-Hyong Lee 001 (ICUIMC, 2009)

Cooperative Learning by Replay Files in Real-Time Strategy Game. - Jaekwang Kim 001; KwangHo Yoon; Tae Bok Yoon; Jee-Hyong Lee 001 (CDVE, 2010)

A partitioning method for high dimensional data. - Seunghoon Lee; Sung-Woo Bang; Bo-Keong Kim; Jaekwang Kim 001; Jee-Hyong Lee 001 (ICUIMC, 2010)

An Auto Playlist Generation System with One Seed Song. - Sung-Woo Bang; Hye-Wuk Jung; Jaekwang Kim 001; Jee-Hyong Lee 001 (Int. J. Fuzzy Log. Intell. Syst., 2010)

The identification of intimate friends in personal social network. - Moohong Min; Donjung Choi; Jaekwang Kim 001; Jee-Hyong Lee 001 (CASoN, 2011)

ViTAMin: A Virtual Backbone Tree Algorithm for Minimal energy consumption in wireless sensor network routing. - Jaekwang Kim 001; Jee-Hyong Lee 001 (ICOIN, 2012)

Feature selection for heavy rain prediction using genetic algorithms. - Jaedong Lee; Jaekwang Kim 001; Jee-Hyong Lee 001; Ik-Hyun Cho; Jeong-Whan Lee; Kyoung-Hee Park; JeongGyun Park (SCIS&ISIS, 2012)

An Approach to Extract Informative Rules for Web Page Recommendation by Genetic Programming. - Jaekwang Kim 001; KwangHo Yoon; Jee-Hyong Lee 001 (IEICE Trans. Commun., 2012)

Size-Independent Caption Extraction for Korean Captions with Edge Connected Components. - Je-hee Jung; Jaekwang Kim 001; Jee-Hyong Lee 001 (Int. J. Fuzzy Log. Intell. Syst., 2012)

Web Page Evaluation based on Implicit User Reactions and Neural Networks. - Donghoon Lee; Jaekwang Kim 001; Jee-Hyong Lee 001 (Int. J. Fuzzy Log. Intell. Syst., 2012)

Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification. - Yeounoh Chung; Hye-Wuk Jung; Jaekwang Kim 001; Jee-Hyong Lee 001 (MLDM, 2013)

A tweet summarization method based on a keyword graph. - Taeyeon Kim; Jaekwang Kim 001; Jaedong Lee; Jee-Hyong Lee 001 (ICUIMC, 2014)

Keyword extraction for blogs based on content richness. - Jinhee Park; Jaekwang Kim 001; Jee-Hyong Lee 001 (J. Inf. Sci., 2014)

Analysis and comparison of fax spam detection algorithms. - Jaekwang Kim 001; Hyoungshick Kim; Jee-Hyong Lee 001 (IMCOM, 2017)

A Document Ranking Method With Query-Related Web Context. - Jaekwang Kim 001 (IEEE Access, 2019)

A novel recommendation approach based on chronological cohesive units in content consuming logs. - Jaekwang Kim 001; Jee-Hyong Lee 001 (Inf. Sci., 2019)

A Novel Approach for Blog Feeds Recommendation Based on Meta-data. - Jaekwang Kim 001 (ICSIM, 2020)

Generalizing and Processing Topological Data using Sentence Data Structure. - San Kim; Eunjung Joo; Jusung Ha; Jaekwang Kim 001 (IMCOM, 2021)

Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation. - Hyunsung Lee; Sangwoo Cho; Yeongjae Jang; Jaekwang Kim 001; Honguk Woo (IEEE Access, 2021)

Edge Profile Super Resolution. - Jiun Lee; Inyong Yun; Jaekwang Kim 001 (IEEE Access, 2021)

Hybrid Oversampling Technique Based on Star Topology and Rejection Methodology for Classifying Imbalanced Data. - Chaekyu Lee; Jaekwang Kim 001 (ICDM (Workshops), 2022)

Mitigating Dataset Bias via Image Translation. - Jaeju An; Youngsang Kwak; Jaekwang Kim 001 (SCIS/ISIS, 2022)

AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models. - Donggeun Ko; Dongjun Lee; Namjun Park; Kyoungrae Noh; Hyeonjin Park; Jaekwang Kim 001 (CIKM, 2023)

How Important is Periodic Model update in Recommender System? - Hyunsung Lee; Sungwook Yoo; Dongjun Lee; Jaekwang Kim 001 (SIGIR, 2023)

Smart Healthcare Hand Gesture Recognition Using CNN-Based Detector and Deep Belief Network. - Mohammed Alonazi; Hira Ansar; Naif Al Mudawi; Saud S. Alotaibi; Nouf Abdullah Almujally; Abdulwahab Alazeb; Ahmad Jalal; Jaekwang Kim 001; Moohong Min (IEEE Access, 2023)

A Smart Traffic Control System Based on Pixel-Labeling and SORT Tracker. - Mohammed Alonazi; Asifa Mehmood Qureshi; Saud S. Alotaibi; Nouf Abdullah Almujally; Naif Al Mudawi; Abdulwahab Alazeb; Ahmad Jalal; Jaekwang Kim 001; Moohong Min (IEEE Access, 2023)

Time-Weighted Cumulative LSTM Method Using Log Data for Predicting Credit Card Customer Turnover. - Jinyong Eom; Jaekwang Kim 001 (IEEE Access, 2023)

Deep Sparse Depth Completion Using Multi-Affinity Matrix. - Wei Zhao; Cheolkon Jung; Jaekwang Kim 001 (IEEE Access, 2023)

Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation. - Dongjun Lee; Donggeun Ko; Jaekwang Kim 001 (CoRR, 2023)

LMCG-Net: Integrating LLMs and ECG for LVEF-Based Classification for Pacing Patients. - Wonkyeong Shim; Namjun Park; Donggeun Ko; Hyebin Gwag; Youngjun Park; Seungjung Park; Jaekwang Kim 001 (BIBM, 2024)

Elevating CTR Prediction: Field Interaction, Global Context Integration, and High-Order Representations. - Sojeong Kim; Dongjun Lee; Jaekwang Kim 001 (SAC, 2024)

CAWA: Correlation-Based Adaptive Weight Adjustment via Effective Fields for Debiasing. - Kyoungrae Noh; San Kim; Jaekwang Kim 001 (SCIS/ISIS, 2024)

DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection. - Donggeun Ko; Sangwoo Jo; Dongjun Lee; Namjun Park; Jaekwang Kim 001 (CoRR, 2024)

Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models. - Donggeun Ko; Dongjun Lee; Namjun Park; Wonkyeong Shim; Jaekwang Kim 001 (SAC, 2025)

Hierarchical Contrastive Learning with Multiple Augmentations for Sequential Recommendation. - Dongjun Lee; Donggeun Ko; Jaekwang Kim 001 (SAC, 2025)

PacECG-Net: A Multi-modal Approach Integrating LLMs and ECG for LVSD Classification in Pacemaker Patients. - Wonkyeong Shim; Namjun Park; Donggeun Ko; San Kim; Hyebin Gwag; Youngjun Park; Seungjung Park; Jaekwang Kim 001 (SAC, 2025)

SEALR: Sequential Emotion-Aware LLM-Based Personalized Recommendation System. - Namjun Lee; Jaekwang Kim 001 (SIGIR, 2025)

When AI takes your call: Investigating the impact of conversational styles on customer service agents' affective delivery. - Inyoung Jang; Jaekwang Kim 001; Inyoung Park (Telematics Informatics, 2025)

Consensus-aware Contrastive Learning for Group Recommendation. - Soyoung Kim; Dongjun Lee; Jaekwang Kim 001 (CoRR, 2025)