Full Publication List (* indicates equal contributions)
International Publications
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction Yunyong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, and Sang-Wook Kim ACM Web Conference (WWW) 2023•[ Paper | Code | Slides ]
RealGraph-GPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis
Myung-Hwan Jang, Yunyong Ko, Dongkyu Jeong, Jeong-Min Park, and Sang-Wook Kim ACM International Conference on Information and Knowledge Management (ACM CIKM) 2022•[Paper | Poster]
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training Yunyong Ko, Dongwon Lee, and Sang-Wook Kim ACM Web Conference (WWW) 2022•[ Paper | Code | Slides ]
D-FEND: A Diffusion-Based Fake News Detection Framework for News Articles Related to COVID-19
So-Eun Han, Yunyong Ko, Yusim Kim, Heejin Park, Seongsu Oh, and Sang-Wook Kim ACM Symposium on Applied Computing (ACM SAC) 2022•[ Paper ]
SHAT: A Novel Asynchronous Training Algorithm That Provides Fast Model Convergence in Distributed Deep Learning Yunyong Ko and Sang-Wook Kim Applied Sciences (SCIE) 2022 •[ Paper ]
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems Yunyong Ko*, Jae-Su Yu*, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, and Sang-Wook Kim IEEE International Conference on Data Mining (IEEE ICDM) 2021•[ Paper | Code | Slides ] Selected as one of the best-ranked papers of ICDM 2021 for fast-track journal invitation
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning Yunyong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, and Sang-Wook Kim ACM International Conference on Information and Knowledge Management (CIKM) 2021•[ Paper | Poster | Slides | Appendix ] Selected as one of the spotlight presentations of CIKM 2021
An In-Depth Analysis on Distributed Training of Deep Neural Networks Yunyong Ko, Kibong Choi, Jiwon Seo, and Sang-Wook Kim IEEE International Parallel & Distributed Processing Symposium (IEEE IPDPS) 2021•[ Paper | Slides ]
Influence Maximization for Effective Advertisement in Social Networks: Problem, Solution, and Evaluation
Suk-Jin Hong, Yunyong Ko, Moon-Jeung Joe, and Sang-Wook Kim ACM Symposium on Applied Computing, (ACM SAC) 2019•[ Paper ]
Efficient and Effective Influence Maximization in Social Networks: A Hybrid-Approach Yunyong Ko*, Kyung-Jae Cho*, and Sang-Wook Kim Information Sciences (SCIE) 2018 •[ Paper ]
Influence Maximization in Social Networks: A Target-Oriented Estimation Yunyong Ko, Dong-Kyu Chae, and Sang-Wook Kim Journal of Information Science (SCIE) 2018 •[ Paper ]
Accurate Path-Based Influence Maximization in Social Networks Yunyong Ko, Dong-Kyu Chae, and Sang-Wook Kim ACM Web Conference (WWW) 2016•[ Paper ]
Domestic Publications
CoAID+: COVID-19 News Cascade Dataset for Social Context Based Fake News Detection
Han, S., Kang, Y., Ko, Y., Ahn, J., Kim, Y.S., Oh, S.S., Park, H., and Kim, S.W. KIPS Transactions on Software and Data Engineering (KTSDE), Vol. 11, No. 4, pp. 149-156, 2022 Received the Best Paper Award
Precision Switching for Efficient Matrix Factorization in Recommender Systems
Yu, J.S., Ko, Y., Bae, H.K., Kang, S., Yu, Y., Park, Y., and Kim, S.W. KIPS Annual Spring Conference, 2021
Parameter Sharding for Synchronous and Asynchronous Distributed Training
Jung, J., Lim, U., Park, J., Choi, K., Ko, Y., and Kim, S.W. Korea Software Congress (KSC), 2020 Selected as one of the Outstanding Papers
Parameter Sharding approaches for DNN Models with a Very Large Layer
Choi, K., Ko, Y., and Kim, S.W. KIPS Annual Fall Conference, 2020
Performance Evaluation: Parameter sharding for Distributed Deep Learning
Choi, K., Ko, Y., Jae, H., Noh, H., and Kim, S.W. Korea Computer Congress (KCC), 2019
Inter-Node Communications Methods for Distributed Deep Learning
Choi, K., Ko, Y., and Kim, S.W. Korea Software Congress (KSC), 2018
A Diffusion Model for Influence Maximization in selecting advertisement agent
Hong, S.J., Ko, Y., Kim, S.W., Park, G. Workshop on Convergent & Smart Media Systems (CSMS), 2018
Accurate Ad-Effect Estimation Method based on Relevance between User and Item
Hong, S.J., Ko, Y., Kim, S.W., Park, G. The Korea Contents Association (KOCON), 2018
Effective Ad-Effect Maximization Exploiting User’s Support and Share
Hong, S.J., Ko, Y., Kim, S.W., Park, G. KIPS Annual Spring Conference, 2018
Fast Influence Maximization in Social Networks Ko., Y., Cho, K.J., and Kim, S.W. Journal of KIISE (JOK), Vol. 44, No. 10, pp. 1104-1111, 2017 Selected as one of the Outstanding Papers
Efficient CELF Algorithm for Community-based Influence Maximization in Social Networks Ko., Y., Cho, K.J., and Kim, S.W. Korea Computer Congress (KCC), 2017 Received the Best Presentation Award
