Yun-Yong Ko

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Social Networks

Matrix Multiplication

Influence Maximization

Top Venues

Publications

Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System. CoRR (2024)
Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Yun-Yong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction. CoRR (2023)
Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. WWW (2023)
Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CIKM (2023)
Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning. CoRR (2023)
Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim
CIDER: Category-Guided Intent Disentanglement for Accurate Personalized News Recommendation. CoRR (2023)
Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. CoRR (2023)
Yun-Yong Ko, Dongwon Lee, Sang-Wook Kim
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training. WWW (2022)
Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim
: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis. CIKM (2022)
Soeun Han, Yun-Yong Ko, Yushim Kim, Seong Soo Oh, Heejin Park, Sang-Wook Kim
D-FEND: a diffusion-based fake news detection framework for news articles related to COVID-19. SAC (2022)
Yun-Yong Ko, Kibong Choi, Jiwon Seo, Sang-Wook Kim
An In-Depth Analysis of Distributed Training of Deep Neural Networks. IPDPS (2021)
Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. ICDM (2021)
Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. CIKM (2021)
Suk-Jin Hong, Yun-Yong Ko, Moon Jeung Joe, Sang-Wook Kim
Influence maximization for effective advertisement in social networks: problem, solution, and evaluation. SAC (2019)
Yun-Yong Ko, Kyung-Jae Cho, Sang-Wook Kim
Efficient and effective influence maximization in social networks: A hybrid-approach. Inf. Sci. 465 (2018)
Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim
Influence maximisation in social networks: A target-oriented estimation. J. Inf. Sci. 44 (5) (2018)
Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim
Accurate Path-based Methods for Influence Maximization in Social Networks. WWW (Companion Volume) (2016)