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2020 – today
- 2025
[j11]Bing He
, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar:
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators. ACM Trans. Knowl. Discov. Data 19(1): 10:1-10:30 (2025)- [c28]Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim:
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks. AAAI 2025: 12013-12021 - [c27]Yeon-Chang Lee, JaeHyun Lee, Michiharu Yamashita, Dongwon Lee, Sang-Wook Kim:
CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship. KDD (1) 2025: 647-658 - [c26]Jiwon Son, Jaeyoon Kim, Taekin Kim, Yeon-Chang Lee, Sang-Wook Kim:
CATER: A Cluster-Based Alternative-Term Recommendation Framework for Large-Scale Web Search at NAVER. KDD (1) 2025: 2548-2559 - 2024
- [j10]Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar:
A Survey of Graph Neural Networks for Social Recommender Systems. ACM Comput. Surv. 56(10): 265 (2024) - [j9]Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim:
Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion. Inf. Sci. 654: 119857 (2024) - [j8]Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang, Sang-Wook Kim:
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding. ACM Trans. Knowl. Discov. Data 18(9): 219:1-219:26 (2024) - [c25]Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim:
PolarDSN: An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks. CIKM 2024: 1099-1109 - [c24]Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar:
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation. CIKM 2024: 1752-1762 - [c23]Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park:
SVD-AE: Simple Autoencoders for Collaborative Filtering. IJCAI 2024: 2054-2062 - [i10]Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar:
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation. CoRR abs/2402.15988 (2024) - [i9]Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park:
SVD-AE: Simple Autoencoders for Collaborative Filtering. CoRR abs/2405.04746 (2024) - [i8]Yiqiao Jin, Andrew Zhao, Yeon-Chang Lee, Meng Ye, Ajay Divakaran, Srijan Kumar:
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories. CoRR abs/2406.17963 (2024) - [i7]Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim:
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks. CoRR abs/2408.12875 (2024) - [i6]Yeon-Chang Lee, JaeHyun Lee, Michiharu Yamashita, Dongwon Lee, Sang-Wook Kim:
CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship. CoRR abs/2408.15620 (2024) - 2023
- [j7]Yeon-Chang Lee, Sang-Wook Kim:
Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems. SIGWEB Newsl. 2023(Autumn): 4:1-4:13 (2023) - [j6]David Y. Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim:
A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning. IEEE Trans. Knowl. Data Eng. 35(11): 10937-10951 (2023) - [c22]Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar:
Representation Learning in Continuous-Time Dynamic Signed Networks. CIKM 2023: 2229-2238 - [c21]Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim:
A Competition-Aware Approach to Accurate TV Show Recommendation. ICDE 2023: 2822-2834 - [c20]Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar:
Predicting Information Pathways Across Online Communities. KDD 2023: 1044-1056 - [c19]Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim:
TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks. SIGIR 2023: 2451-2455 - [c18]Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim:
Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding. WWW 2023: 231-239 - [i5]Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar:
Predicting Information Pathways Across Online Communities. CoRR abs/2306.02259 (2023) - [i4]Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang, Sang-Wook Kim:
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding. CoRR abs/2309.00816 (2023) - [i3]Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar:
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators. CoRR abs/2310.02095 (2023) - 2022
- [j5]Junha Park, Yeon-Chang Lee, Sang-Wook Kim:
Effective and efficient negative sampling in metric learning based recommendation. Inf. Sci. 605: 351-365 (2022) - [c17]Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim:
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. CIKM 2022: 993-1002 - [c16]Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim:
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation. CIKM 2022: 4138-4142 - [c15]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:
AiRS: A Large-Scale Recommender System at NAVER News. ICDE 2022: 3386-3398 - [c14]Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim:
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. ICDM 2022: 1035-1040 - [c13]Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim:
Linear, or Non-Linear, That is the Question! WSDM 2022: 517-525 - [c12]Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim:
Directed Network Embedding with Virtual Negative Edges. WSDM 2022: 1291-1299 - [i2]Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar:
A Survey of Graph Neural Networks for Social Recommender Systems. CoRR abs/2212.04481 (2022) - 2021
- [j4]Yeon-Chang Lee, Taeho Kim, Jaeho Choi, Xiangnan He, Sang-Wook Kim:
M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences. Inf. Sci. 547: 255-270 (2021) - [j3]Yeon-Chang Lee, Jiwon Son, Taeho Kim, Daeyoung Park, Sang-Wook Kim:
Exploiting uninteresting items for effective graph-based one-class collaborative filtering. J. Supercomput. 77(7): 6832-6851 (2021) - [c11]Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim:
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks. ICDM 2021: 1150-1155 - [c10]Wonchang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim:
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks. SIGIR 2021: 143-152 - [i1]Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim:
Linear, or Non-Linear, That is the Question! CoRR abs/2111.07265 (2021) - 2020
- [c9]Yeon-Chang Lee, Daeyoung Park, Jiwon Son, Taeho Kim, Sang-Wook Kim:
Graph-Theoretic One-Class Collaborative Filtering using Signed Random Walk with Restart. BigComp 2020: 98-101 - [c8]Yeon-Chang Lee, Nayoun Seo, Sang-Wook Kim:
Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results. CIKM 2020: 2113-2116 - [c7]Yeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim:
ASiNE: Adversarial Signed Network Embedding. SIGIR 2020: 609-618
2010 – 2019
- 2019
- [j2]Dong-Gyun Hong, Yeon-Chang Lee, Jongwuk Lee, Sang-Wook Kim:
CrowdStart: Warming up cold-start items using crowdsourcing. Expert Syst. Appl. 138 (2019) - [c6]Kyung-Jae Cho, Yeon-Chang Lee, Kyungsik Han, Jaeho Choi, Sang-Wook Kim:
No, That's Not My Feedback: TV Show Recommendation Using Watchable Interval. ICDE 2019: 316-327 - 2018
- [c5]Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee:
gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items. AAAI 2018: 3448-3456 - 2017
- [c4]Yujin Lee, Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim:
Exploiting job transition patterns for effective job recommendation. SMC 2017: 2414-2419 - 2016
- [j1]Jongwuk Lee, Dongwon Lee, Yeon-Chang Lee, Won-Seok Hwang, Sang-Wook Kim:
Improving the accuracy of top-N recommendation using a preference model. Inf. Sci. 348: 290-304 (2016) - [c3]Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim:
Job recommendation in AskStory: experiences, methods, and evaluation. SAC 2016: 780-786 - [c2]Yeon-Chang Lee, Jungwan Yeom, Kiburm Song, Jiwoon Ha, Kichun Lee, Jangho Yeo, Sang-Wook Kim:
Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data. SMC 2016: 2966-2971 - 2015
- [c1]Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim, Sheng Gao, Ji-Yong Hwang:
On Recommending Job Openings. HT 2015: 331-332
Coauthor Index
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