Yun-Yong Ko

According to our database, Yun-Yong Ko authored at least 22 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

How Sharp and Bias-Robust is a Model? Dual Evaluation Perspectives on Knowledge Graph Completion.

Sooho Moon, Yunyong Ko

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Accelerating Storage-based Training for Graph Neural Networks.

Myung-Hwan Jang, Jeong-Min Park, Yunyong Ko, Sang-Wook Kim

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Enhancing Hyperedge Prediction With Context-Aware Self-Supervised Learning.

Yunyong Ko, Hanghang Tong, Sang-Wook Kim

IEEE Trans. Knowl. Data Eng., April, 2025

HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction.

Song Kyung Yu, Da Eun Lee, Yunyong Ko, Sang-Wook Kim

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation.

Yunyong Ko, Seongeun Ryu, Sang-Wook Kim

Proceedings of the ACM on Web Conference 2025, 2025

Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation.

Seongeun Ryu, Yunyong Ko, Sang-Wook Kim

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks.

Yunyong Ko, Da Eun Lee, Song Kyung Yu, Sang-Wook Kim

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System.

Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han

Proc. ACM Hum. Comput. Interact., 2024

2023

CIDER: Category-Guided Intent Disentanglement for Accurate Personalized News Recommendation.

Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim

CoRR, 2023

KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction.

Yun-Yong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim

CoRR, 2023

KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction.

Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim

Proceedings of the ACM Web Conference 2023, 2023

SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication.

Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training.

Yun-Yong Ko, Dongwon Lee, Sang-Wook Kim

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

D-FEND: a diffusion-based fake news detection framework for news articles related to COVID-19.

Soeun Han, Yun-Yong Ko, Yushim Kim, Seong Soo Oh, Heejin Park, Sang-Wook Kim

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

RealGraph^GPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis.

Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

An In-Depth Analysis of Distributed Training of Deep Neural Networks.

Yun-Yong Ko, Kibong Choi, Jiwon Seo, Sang-Wook Kim

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems.

Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim

Proceedings of the IEEE International Conference on Data Mining, 2021

ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning.

Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019

Influence maximization for effective advertisement in social networks: problem, solution, and evaluation.

Suk-Jin Hong, Yun-Yong Ko, Moon Jeung Joe, Sang-Wook Kim

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018

Influence maximisation in social networks: A target-oriented estimation.

Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim

J. Inf. Sci., 2018

Efficient and effective influence maximization in social networks: A hybrid-approach.

Yun-Yong Ko, Kyung-Jae Cho, Sang-Wook Kim

Inf. Sci., 2018

2016

Accurate Path-based Methods for Influence Maximization in Social Networks.

Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim

Proceedings of the 25th International Conference on World Wide Web, 2016