| 2026 | WWW | Retracing and Restoring: Chronological Context Preservation for Effective Dynamic Recommendation. | Min-Jeong Kim, Jiwon Son, Yeon-Chang Lee, Sang-Wook Kim |
| 2026 | WWW | Improving the Accuracy of Community Detection on Signed Networks via Community Refinement and Contrastive Learning. | Hyunuk Shin, Hojin Kim, Chanyoung Lee, Yeon-Chang Lee, David Yoon Suk Kang |
| 2025 | AAAI | Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks. | Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim |
| 2025 | KDD | CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship. | Yeon-Chang Lee, Jaehyun Lee, Michiharu Yamashita, Dongwon Lee, Sang-Wook Kim |
| 2025 | KDD | CATER: A Cluster-Based Alternative-Term Recommendation Framework for Large-Scale Web Search at NAVER. | Jiwon Son, Jaeyoon Kim, Taekin Kim, Yeon-Chang Lee, Sang-Wook Kim |
| 2024 | CIKM | PolarDSN: An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks. | Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim |
| 2024 | CIKM | Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation. | Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar |
| 2024 | IJCAI | SVD-AE: Simple Autoencoders for Collaborative Filtering. | Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park |
| 2023 | CIKM | Representation Learning in Continuous-Time Dynamic Signed Networks. | Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar |
| 2023 | ICDE | A Competition-Aware Approach to Accurate TV Show Recommendation. | Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim |
| 2023 | KDD | Predicting Information Pathways Across Online Communities. | Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar |
| 2023 | WWW | Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding. | Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim |
| 2023 | SIGIR | TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks. | Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim |
| 2022 | CIKM | Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation. | Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim |
| 2022 | CIKM | MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. | Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim |
| 2022 | ICDE | AiRS: A Large-Scale Recommender System at NAVER News. | Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeon Jeong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You, Sang-Wook Kim |
| 2022 | ICDM | THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. | Yeon-Chang Lee, Jaehyun Lee, Dongwon Lee, Sang-Wook Kim |
| 2022 | WSDM | Linear, or Non-Linear, That is the Question! | Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim |
| 2022 | WSDM | Directed Network Embedding with Virtual Negative Edges. | Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim |
| 2021 | ICDM | Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks. | Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim |
| 2021 | SIGIR | Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks. | Wonchang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim |
| 2020 | CIKM | Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results. | Yeon-Chang Lee, Nayoun Seo, Sang-Wook Kim |
| 2020 | SIGIR | ASiNE: Adversarial Signed Network Embedding. | Yeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim |
| 2019 | ICDE | No, That's Not My Feedback: TV Show Recommendation Using Watchable Interval. | Kyung-Jae Cho, Yeon-Chang Lee, Kyungsik Han, Jaeho Choi, Sang-Wook Kim |
| 2018 | AAAI | gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items. | Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee |
| 2017 | SMC | Exploiting job transition patterns for effective job recommendation. | Yujin Lee, Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim |
| 2016 | SMC | Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data. | Yeon-Chang Lee, Jungwan Yeom, Kiburm Song, Jiwoon Ha, Kichun Lee, Jangho Yeo, Sang-Wook Kim |
| 2016 | SAC | Job recommendation in AskStory: experiences, methods, and evaluation. | Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim |