Yun-Yong Ko

18 papers A* 3A 4Misc 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System.
CoRR
Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han
2024 J jnl
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System.
Proc. ACM Hum. Comput. Interact.
Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim, Kyungsik Han
2023 J jnl
CIDER: Category-Guided Intent Disentanglement for Accurate Personalized News Recommendation.
CoRR
Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim
2023 J jnl
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning.
CoRR
Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim
2023 A* conf
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction.
WWW
Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
2023 J jnl
KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction.
CoRR
Yun-Yong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
2023 A conf
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication.
CIKM
Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
2023 J jnl
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication.
CoRR
Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim
2022 Misc conf
D-FEND: a diffusion-based fake news detection framework for news articles related to COVID-19.
SAC
Soeun Han, Yun-Yong Ko, Yushim Kim, Seong Soo Oh, Heejin Park, Sang-Wook Kim
2022 A* conf
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training.
WWW
Yun-Yong Ko, Dongwon Lee, Sang-Wook Kim
2022 A conf
RealGraph
CIKM
Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim
2021 A conf
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning.
CIKM
Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim
2021 A conf
An In-Depth Analysis of Distributed Training of Deep Neural Networks.
IPDPS
Yun-Yong Ko, Kibong Choi, Jiwon Seo, Sang-Wook Kim
2021 A* conf
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems.
ICDM
Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim
2019 Misc conf
Influence maximization for effective advertisement in social networks: problem, solution, and evaluation.
SAC
Suk-Jin Hong, Yun-Yong Ko, Moon Jeung Joe, Sang-Wook Kim
2018 J jnl
Efficient and effective influence maximization in social networks: A hybrid-approach.
Inf. Sci.
Yun-Yong Ko, Kyung-Jae Cho, Sang-Wook Kim
2018 J jnl
Influence maximisation in social networks: A target-oriented estimation.
J. Inf. Sci.
Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim
2016 — conf
Accurate Path-based Methods for Influence Maximization in Social Networks.
WWW (Companion Volume)
Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim