Publications

Preprints

• Heterophily-Aware Adaptive Knowledge Distillation for Hypergraph Neural Networks [ Link ]
  Joohee Cho, David Yoon suk Kang, and Yunyong Ko
  arXiv: 2606.08978

• PROBE-Web: An Interactive System for Probing Evaluation Landscapes of Knowledge Graph Completion Models [ Link ]
  Sooho Moon and Yunyong Ko
  arXiv: 2606.08926

• Generalized Rank-based Evaluation for Knowledge Graph Completion:  Perspectives, Framework, and Analyses [ Link ]
  Sooho Moon, Jian Kang, and Yunyong Ko
  arXiv: 2606.08921
  
  

2026 and Forthcoming

• How Sharp and Bias-Robust is a Model? Dual Perspectives on Knowledge Graph Completion [ Link ]
  Sooho Moon, and  Yunyong Ko
  WSDM 2026 (Short): ACM International Conference on Web Search and Data Mining [BKCSA 3]

• Accelerating Storage-Based Training for Graph Neural Networks [ Link ]
  Myung-Hwan Jang, Jeong-Min Park, Yunyong Ko,  and Sang-Wook Kim
  KDD 2026: ACM SIGKDD Conference on Knowledge Discovery and Data Mining [BKCSA 4]
  
  

2025

• 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%]
  
  

~2024

• 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]