E-LIB Suche - Ergebnisse für: Ko, Yunyong

1

HearHere: Mitigating Echo Chambers in News Consumption thro..:

Jeon, Youngseung ; Kim, Jaehoon ; Park, Sohyun...
Proceedings of the ACM on Human-Computer Interaction. 8 (2024) CSCW1 - p. 1-34 , 2024

Link: https://doi.org/10.1145/..

2

KHAN: Knowledge-Aware Hierarchical Attention Networks for A..:

, In: Proceedings of the ACM Web Conference 2023,

Ko, Yunyong ; Ryu, Seongeun ; Han, Soeun... - p. 1572-1583 , 2023

Link: https://dl.acm.org/doi/1..

3

SAGE: A Storage-Based Approach for Scalable and Efficient S..:

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

Jang, Myung-Hwan ; Ko, Yunyong ; Gwon, Hyuck-Moo... - p. 923-933 , 2023

Link: https://dl.acm.org/doi/1..

4

D-FEND : a diffusion-based fake news detection framework..:

, In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing,

Han, Soeun ; Ko, Yunyong ; Kim, Yushim... - p. 1771-1778 , 2022

Link: https://dl.acm.org/doi/1..

5

Session details: Theme: Information systems: SONAMA - socia..:

, In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing,

Kim, Sang-Wook ; Ko, Yunyong , 2022

Link: https://dl.acm.org/doi/1..

6

Not All Layers Are Equal: A Layer-Wise Adaptive Approach To..:

, In: Proceedings of the ACM Web Conference 2022,

Ko, Yunyong ; Lee, Dongwon ; Kim, Sang-Wook - p. 1851-1859 , 2022

Link: https://dl.acm.org/doi/1..

7

RealGraphGPU: A High-Performance GPU-Based Graph Engine tow..:

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

Jang, Myung-Hwan ; Ko, Yunyong ; Jeong, Dongkyu.. - p. 4074-4078 , 2022

Link: https://dl.acm.org/doi/1..

8

SHAT: A Novel Asynchronous Training Algorithm That Provides..:

Ko, Yunyong ; Kim, Sang-Wook
Applied Sciences. 12 (2021) 1 - p. 292 , 2021

Link: https://doi.org/10.3390/..

9

ALADDIN : Asymmetric Centralized Training for Distribute..:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,

Ko, Yunyong ; Choi, Kibong ; Jei, Hyunseung.. - p. 863-872 , 2021

Link: https://dl.acm.org/doi/1..

10

Influence maximization for effective advertisement in socia..:

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

Hong, Suk-Jin ; Ko, Yun-Yong ; Joe, Moonjeung. - p. 1314-1321 , 2019

Link: https://dl.acm.org/doi/1..

11

Efficient and effective influence maximization in social ne..:

Ko, Yun-Yong ; Cho, Kyung-Jae ; Kim, Sang-Wook
Information Sciences. 465 (2018) - p. 144-161 , 2018

Link: https://doi.org/10.1016/..

12

Influence maximisation in social networks: A target-oriente..:

Ko, Yun-Yong ; Chae, Dong-Kyu ; Kim, Sang-Wook
Journal of Information Science. 44 (2018) 5 - p. 671-682 , 2018

Link: https://doi.org/10.1177/..

13

Accurate Path-based Methods for Influence Maximization in S..:

, In: Proceedings of the 25th International Conference Companion on World Wide Web,

Ko, Yun-Yong ; Chae, Dong-Kyu ; Kim, Sang-Wook - p. 59-60 , 2016

Link: https://dl.acm.org/doi/1..

14

CIDER: Category-Guided Intent Disentanglement for Accurate ..:

Ko, Yunyong ; Ryu, Seongeun ; Kim, Sang-Wook
http://arxiv.org/abs/2310.09401. , 2023

Link: http://arxiv.org/abs/231..

15

SAGE: A Storage-Based Approach for Scalable and Efficient S..:

Jang, Myung-Hwan ; Ko, Yunyong ; Gwon, Hyuck-Moo...
http://arxiv.org/abs/2308.13626. , 2023

Link: http://arxiv.org/abs/230..