Yeon-Chang Lee

59 papers A* 15A 8B 2Misc 1Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems.
CoRR
Yonghun Jeong, David Yoon Suk Kang, Yeon-Chang Lee
2026 J jnl
E-MMKGR: A Unified Multimodal Knowledge Graph Framework for E-commerce Applications.
CoRR
Jiwoo Kang, Yeon-Chang Lee
2026 J jnl
Echoes in the Loop: Diagnosing Risks in LLM-Powered Recommender Systems under Feedback Loops.
CoRR
Donguk Park, Dongwon Lee, Yeon-Chang Lee
2026 J jnl
Embedding-aware Polarization Management in Signed Networks.
CoRR
Jeonghan Son, Kyungsik Han, Yeon-Chang Lee
2026 A* conf
Improving the Accuracy of Community Detection on Signed Networks via Community Refinement and Contrastive Learning.
WWW
Hyunuk Shin, Hojin Kim, Chanyoung Lee, Yeon-Chang Lee, David Yoon Suk Kang
2026 J jnl
Improving the Accuracy of Community Detection on Signed Networks via Community Refinement and Contrastive Learning.
CoRR
Hyunuk Shin, Hojin Kim, Chanyoung Lee, Yeon-Chang Lee, David Yoon Suk Kang
2026 J jnl
Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation.
CoRR
Daehee Kang, Yeon-Chang Lee
2026 A* conf
Retracing and Restoring: Chronological Context Preservation for Effective Dynamic Recommendation.
WWW
Min-Jeong Kim, Jiwon Son, Yeon-Chang Lee, Sang-Wook Kim
2026 J jnl
Uncovering high-order cohesive structures: Efficient (k, g)-core computation and decomposition for large hypergraphs.
Knowl. Based Syst.
DaHee Kim, Hyewon Kim, Song Kim, Minseok Kim, Junghoon Kim, Yeon-Chang Lee, Sungsu Lim
2025 J jnl
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators.
ACM Trans. Knowl. Discov. Data
Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar
2025 — conf
CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship.
KDD (1)
Yeon-Chang Lee, Jaehyun Lee, Michiharu Yamashita, Dongwon Lee, Sang-Wook Kim
2025 — conf
CATER: A Cluster-Based Alternative-Term Recommendation Framework for Large-Scale Web Search at NAVER.
KDD (1)
Jiwon Son, Jaeyoon Kim, Taekin Kim, Yeon-Chang Lee, Sang-Wook Kim
2025 A* conf
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks.
AAAI
Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim
2025 J jnl
Uncovering High-Order Cohesive Structures: Efficient (k,g)-Core Computation and Decomposition for Large Hypergraphs.
CoRR
DaHee Kim, Hyewon Kim, Song Kim, Minseok Kim, Junghoon Kim, Yeon-Chang Lee, Sungsu Lim
2024 J jnl
A Survey of Graph Neural Networks for Social Recommender Systems.
ACM Comput. Surv.
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar
2024 J jnl
CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship.
CoRR
Yeon-Chang Lee, Jaehyun Lee, Michiharu Yamashita, Dongwon Lee, Sang-Wook Kim
2024 J jnl
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks.
CoRR
Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim
2024 J jnl
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories.
CoRR
Yiqiao Jin, Andrew Zhao, Yeon-Chang Lee, Meng Ye, Ajay Divakaran, Srijan Kumar
2024 J jnl
Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion.
Inf. Sci.
Yeon-Chang Lee, Jaehyun Lee, Dongwon Lee, Sang-Wook Kim
2024 A conf
PolarDSN: An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks.
CIKM
Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim
2024 A* conf
SVD-AE: Simple Autoencoders for Collaborative Filtering.
IJCAI
Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
2024 J jnl
SVD-AE: Simple Autoencoders for Collaborative Filtering.
CoRR
Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
2024 A conf
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation.
CIKM
Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar
2024 J jnl
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation.
CoRR
Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar
2024 J jnl
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding.
ACM Trans. Knowl. Discov. Data
Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang, Sang-Wook Kim
2023 A* conf
A Competition-Aware Approach to Accurate TV Show Recommendation.
ICDE
Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim
2023 J jnl
A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning.
IEEE Trans. Knowl. Data Eng.
David Y. Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim
2023 J jnl
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators.
CoRR
Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar
2023 A* conf
Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding.
WWW
Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
2023 A* conf
Predicting Information Pathways Across Online Communities.
KDD
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar
2023 J jnl
Predicting Information Pathways Across Online Communities.
CoRR
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar
2023 A conf
Representation Learning in Continuous-Time Dynamic Signed Networks.
CIKM
Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar
2023 A* conf
TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks.
SIGIR
Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim
2023 J jnl
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding.
CoRR
Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang, Sang-Wook Kim
2023 J jnl
Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems.
SIGWEB Newsl.
Yeon-Chang Lee, Sang-Wook Kim
2022 J jnl
A Survey of Graph Neural Networks for Social Recommender Systems.
CoRR
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar
2022 A* conf
AiRS: A Large-Scale Recommender System at NAVER News.
ICDE
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 A conf
Directed Network Embedding with Virtual Negative Edges.
WSDM
Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
2022 J jnl
Effective and efficient negative sampling in metric learning based recommendation.
Inf. Sci.
Junha Park, Yeon-Chang Lee, Sang-Wook Kim
2022 A conf
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation.
CIKM
Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim
2022 A conf
Linear, or Non-Linear, That is the Question!
WSDM
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
2022 A conf
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation.
CIKM
Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
2022 A* conf
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks.
ICDM
Yeon-Chang Lee, Jaehyun Lee, Dongwon Lee, Sang-Wook Kim
2021 A* conf
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks.
ICDM
Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim
2021 J jnl
Exploiting uninteresting items for effective graph-based one-class collaborative filtering.
J. Supercomput.
Yeon-Chang Lee, Jiwon Son, Taeho Kim, Daeyoung Park, Sang-Wook Kim
2021 J jnl
Linear, or Non-Linear, That is the Question!
CoRR
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
2021 A* conf
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks.
SIGIR
Wonchang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim
2021 J jnl
M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences.
Inf. Sci.
Yeon-Chang Lee, Taeho Kim, Jaeho Choi, Xiangnan He, Sang-Wook Kim
2020 A* conf
ASiNE: Adversarial Signed Network Embedding.
SIGIR
Yeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim
2020 A conf
Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results.
CIKM
Yeon-Chang Lee, Nayoun Seo, Sang-Wook Kim
2020 — conf
Graph-Theoretic One-Class Collaborative Filtering using Signed Random Walk with Restart.
BigComp
Yeon-Chang Lee, Daeyoung Park, Jiwon Son, Taeho Kim, Sang-Wook Kim
2019 J jnl
CrowdStart: Warming up cold-start items using crowdsourcing.
Expert Syst. Appl.
Dong-gyun Hong, Yeon-Chang Lee, Jongwuk Lee, Sang-Wook Kim
2019 A* conf
No, That's Not My Feedback: TV Show Recommendation Using Watchable Interval.
ICDE
Kyung-Jae Cho, Yeon-Chang Lee, Kyungsik Han, Jaeho Choi, Sang-Wook Kim
2018 A* conf
gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items.
AAAI
Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee
2017 B conf
Exploiting job transition patterns for effective job recommendation.
SMC
Yujin Lee, Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim
2016 J jnl
Improving the accuracy of top-N recommendation using a preference model.
Inf. Sci.
Jongwuk Lee, Dongwon Lee, Yeon-Chang Lee, Won-Seok Hwang, Sang-Wook Kim
2016 Misc conf
Job recommendation in AskStory: experiences, methods, and evaluation.
SAC
Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim
2016 B conf
Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data.
SMC
Yeon-Chang Lee, Jungwan Yeom, Kiburm Song, Jiwoon Ha, Kichun Lee, Jangho Yeo, Sang-Wook Kim
2015 — conf
On Recommending Job Openings.
HT
Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim, Sheng Gao, Ji-Yong Hwang