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2020 – today
- 2024
[j3]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): 1-34 (2024)- [i5]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 abs/2402.18222 (2024) - 2023
- [c10]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: 923-933 - [c9]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: 1572-1583 - [i4]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 abs/2302.12126 (2023) - [i3]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 abs/2308.13626 (2023) - [i2]Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim:
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning. CoRR abs/2309.05798 (2023) - [i1]Yun-Yong Ko, Seongeun Ryu, Sang-Wook Kim:
CIDER: Category-Guided Intent Disentanglement for Accurate Personalized News Recommendation. CoRR abs/2310.09401 (2023) - 2022
- [c8]Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim:
RealGraphGPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis. CIKM 2022: 4074-4078 - [c7]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: 1771-1778 - [c6]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: 1851-1859 - 2021
- [c5]Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim:
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. CIKM 2021: 863-872 - [c4]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: 290-299 - [c3]Yun-Yong Ko, Kibong Choi, Jiwon Seo, Sang-Wook Kim:
An In-Depth Analysis of Distributed Training of Deep Neural Networks. IPDPS 2021: 994-1003
2010 – 2019
- 2019
- [c2]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: 1314-1321 - 2018
- [j2]Yun-Yong Ko, Kyung-Jae Cho, Sang-Wook Kim:
Efficient and effective influence maximization in social networks: A hybrid-approach. Inf. Sci. 465: 144-161 (2018) - [j1]Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim:
Influence maximisation in social networks: A target-oriented estimation. J. Inf. Sci. 44(5): 671-682 (2018) - 2016
- [c1]Yun-Yong Ko, Dong-Kyu Chae, Sang-Wook Kim:
Accurate Path-based Methods for Influence Maximization in Social Networks. WWW (Companion Volume) 2016: 59-60
Coauthor Index
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