An Empirical Analysis of Score Mapping in Time-Series Anomaly Detection [ Link ]
Saejoon Park, Gyuwon Lee, and Yunyong Ko
ICTC 2025: International Conference on Information and Communication Technology Convergence
Investigating the Effects of Negative Sampling in Knowledge Graph Completion [ Link ]
Sooho Moon and Yunyong Ko
ICTC 2025: International Conference on Information and Communication Technology Convergence
Is This News Still Interesting to You? Lifetime-Aware Interest Matching for News Recommendation [ Link ]
Seongeun Ryu, Yunyong Ko, and Sang-Wook Kim
CIKM 2025: ACM International Conference on Information and Knowledge Management [BKCSA 3]
Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks [ Link ]
Yunyong Ko, Da Eun Lee, Song Kyung Yu, and Sang-Wook Kim
CIKM 2025 (Short): ACM International Conference on Information and Knowledge Management [BKCSA 3]
CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation [ Link ]
Yunyong Ko, Seongeun Ryu, and Sang-Wook Kim
WWW 2025: ACM Web Conference [BKCSA 4]
Selected as an Oral Presentation of WWW 2025
HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction [ Link ]
Song Kyung Yu, Da Eun Lee, Yunyong Ko, and Sang-Wook Kim
WWW 2025 (Short): ACM Web Conference [BKCSA 4]
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning [ Link ]
Yunyong Ko, Hanghang Tong, and Sang-Wook Kim
TKDE: IEEE Transactions on Knowledge and Data Engineering, SCIE Journal, 2025 [Q1: IF Top 1.8%]
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System [ Link ]
Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yunyong Ko, Seongeun Ryu, Sang-Wook Kim, and Kyungsik Han
CSCW 2024: ACM Conference on Computer-Supported Cooperative Work and Social Computing [BKCSA 3]
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication [ Link ]
{Myung-Hwan Jang*, Yunyong Ko*}, Hyuck-Moo Gwon, Ik-Hyeon Jo, Yongjun Park, and Sang-Wook Kim
CIKM 2023: ACM International Conference on Information and Knowledge Management [BKCSA 3]
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction [ Link ]
Yunyong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong and Sang-Wook Kim
WWW 2023: ACM Web Conference [BKCSA 4]
RealGraph+GPU: A High-Performance GPU-Based Graph Engine Toward Large-Scale Real-World Network Analysis [ Link ]
Myung-Hwan Jang, Yunyong Ko, Dongkyu Jeong, Jeong-Min Park, and Sang-Wook Kim
CIKM 2022 (Short): ACM International Conference on Information and Knowledge Management [BKCSA 3]
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training [ Link ]
Yunyong Ko, Dongwon Lee, and Sang-Wook Kim
WWW 2022: ACM Web Conference [BKCSA 4]
D-FEND: A Diffusion-Based Fake News Detection Framework for News Articles Related to COVID-19 [ Link ]
Soeun Han, Yunyong Ko, Yusim Kim, Heejin Park, Seongsu Oh, and Sang-Wook Kim
SAC 2022: ACM Symposium on Applied Computing [BKCSA 1]
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems [ Link ]
{Yunyong Ko*, Jae-Seo Yu*}, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, and Sang-Wook Kim
ICDM 2021: IEEE International Conference on Data Mining [BKCSA 3]
Selected as One of the Best-ranked Papers of ICDM 2021 for Fast-track Journal Invitation
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning [ Link ]
Yunyong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, and Sang-Wook Kim
CIKM 2021: ACM International Conference on Information and Knowledge Management [BKCSA 3]
Selected as a Spotlight Presentation of CIKM 2021
An In-Depth Analysis of Distributed Training of Deep Neural Networks [ Link ]
Yunyong Ko, Kibong Choi, Jiwon Seo, and Sang-Wook Kim
IPDPS 2021: IEEE International Parallel and Distributed Processing Symposium [BKCSA 2]
Influence Maximization for Effective Advertisement in Social Networks: Problem, Solution, and Evaluation [ Link ]
Suk-Jin Hong, Yunyong Ko, Moon-Jeung Joe, and Sang-Wook Kim
SAC 2019: ACM Symposium on Applied Computing [BKCSA 1]
Efficient and Effective Influence Maximization in Social Networks: A Hybrid-Approach [ Link ]
Yunyong Ko, Kyung-Jae Cho, and Sang-Wook Kim
Information Sciences: SCIE Journal, 2018 [Q1: IF Top 5%]
Influence Maximization in Social Networks: A Target-Oriented Estimation [ Link ]
Yunyong Ko, Dong-Kyu Chae, and Sang-Wook Kim
Journal of Information Science: SCIE Journal, 2018 [Q2]
Accurate Path-Based Influence Maximization in Social Networks [ Link ]
Yunyong Ko, Dong-Kyu Chae, and Sang-Wook Kim
WWW 2016 (Short): Web Conference [BKCSA 4]
A Survey on Time-Series Anomaly Detection and Its Evaluation Metrics
Gyuwon Lee, Saejoon Park, Yunyong Ko
KICS Fall Conference 2024 (한국통신학회 추계학술대회)
Graph Neural Network based Personalized News Recommendation for the Cold-Start User Problem
Yunyong Ko
KICS Summer Conference 2024 (한국통신학회 하계학술대회)
Performance Evaluation of Negative Sampling Methods in a Hyperedge Prediction Task
Da Eun Lee, Song Kyung Yu, Yunyong Ko, and Sang-Wook Kim
ASK 2024 (한국정보처리학회 춘계학술대회)
Performance Evaluation of Graph and Hypergraph Learning for Real-world Dynamic Networks
Song Kyung Yu, Da Eun Lee, Yunyong Ko, and Sang-Wook Kim
ASK 2024 (한국정보처리학회 춘계학술대회)
Performance Evaluation: Knowledge Embedding Methods for Political Stance Prediction
Seongeun Ryu, Yunyong Ko, and Sang-Wook Kim
ASK 2023 (한국정보처리학회 춘계학술대회)
Received the Best Paper Award
CoAID+: COVID-19 News Cascade Dataset for Social Context Based Fake News Detection
Soeun Han, Yoonsuk Kang, Yunyong Ko, Jiwon Ahn, Yusim Kim, Seongsu Oh, Heejin Park, and Sang-Wook Kim
KIPS Transactions on Software and Data Engineering (한국정보처리학회 논문지): KCI Journal, 2022
Precision Switching for Efficient Matrix Factorization in Recommender Systems
Jae-Seo Yu, Yunyong Ko, Hong-Kyun Bae, Seokwon Kang, Yongseung Yu, Yongjun Park, and Sang-Wook Kim
ASK 2021 (한국정보처리학회 춘계학술대회)
COVID-19 Cascade Dataset for Fake News Detection
Soeun Han, Yoonsuk Kang, Yunyong Ko, Jiwon Ahn, Yusim Kim, Seongsu Oh, Heejin Park, and Sang-Wook Kim
ASK 2021 (한국정보처리학회 춘계학술대회)
Received the Best Paper Award
Parameter Sharding for Synchronous and Asynchronous Distributed Training
Johyung Jung, Utae Lim, Junhwan Park, Kibong Choi, Yunyong Ko, and Sang-Wook Kim
KSC 2020 (한국정보과학회 소프트웨어종합학술대회)
Parameter Sharding approaches for DNN Models with a Very Large Layer
Kibong Choi, Yunyong Ko, and Sang-Wook Kim
ASK 2020 (한국정보처리학회 춘계학술대회)
Performance Evaluation: Parameter sharding for Distributed Deep Learning
Kibong Choi, Yunyong Ko, Hyungseung Jei, Hongchan Noh, and Sang-Wook Kim
KCC 2019 (한국정보과학회 컴퓨터종합학술대회)
Inter-Node Communications Methods for Distributed Deep Learning
Kibong Choi, Yunyong Ko, and Sang-Wook Kim
KCC 2018 (한국정보과학회 컴퓨터종합학술대회)
A Diffusion Model for Influence Maximization in Selecting Advertisement Agent
Suk-Jin Hong, Yunyong Ko, Sang-Wook Kim, and Gyehwan Park
CSMS 2018 (한국스마트미디학회 종합학술대회)
Accurate Ad-Effect Estimation Method based on Relevance between User and Item
Suk-Jin Hong, Yunyong Ko, Sang-Wook Kim, and Gyehwan Park
KOCON 2018 (한국콘텐츠학회 종합학술대회)
Effective Ad-Effect Maximization Exploiting User’s Support and Share
Suk-Jin Hong, Yunyong Ko, Sang-Wook Kim, and Gyehwan Park
ASK 2018 (한국정보처리학회 춘계학술대회)
Accurate Trust Prediction Based on the Uninteresting User Concept
Jonghyun Kim, Seungwon Yun, Yunyong Ko, Jangwan Koo, and Sang-Wook Kim
KSC 2017 (한국정보과학회 소프트웨어종합학술대회)
Fast Influence Maximization in Social Networks
Yunyong Ko, Kyung-Jae Cho, and Sang-Wook Kim
Journal of KIISE (한국정보과학회 논문지): KCI Journal, 2017
Received the Best Paper Award
Efficient CELF Algorithm for Community-based Influence Maximization in Social Networks
Yunyong Ko, Kyung-Jae Cho, and Sang-Wook Kim
KCC 2017 (한국정보과학회 컴퓨터종합학술대회)
Received the Best Presentation Award