Browse "EE-Conference Papers(학술회의논문)" by Author Ok, Jungseul

Showing results 1 to 8 of 8

1
Incentivizing Strategic Users for Social Diffusion: Quantity or Quality?

Ok, Jungseul; Shin, Jinwoo; Yi, Yung, IEEE Conference on Computer Communications (IEEE INFOCOM), IEEE Communications Society, 2017-05-02

2
Iterative Bayesian Learning for Crowdsourced Regression

Ok, Jungseul; Oh, Sewoong; Jang, Yunhun; Shin, Jinwoo; Yi, Yung, AISTATS 2019: International Conference on Artificial Intelligence and Statistics, Society for Artificial Intelligence and Statistics, 2019-04-17

3
Iterative learning of graph connectivity from partially-observed cascade samples

Woo, Jiin; Ok, Jungseul; Yi, Yung, Mobihoc, 21st ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2020, pp.141 - 150, Association for Computing Machinery, 2020-10

4
On maximizing diffusion speed in social networks: Impact of random seeding and clustering

Ok, Jungseul; Jin, Youngmi; Shin, Jinwoo; Yi, Yung, ACM Sigmetrics 2014, ACM Special Interest Group on Performance Evaluation (SIGMETRICS), 2014-06-18

5
On the Impact of Global Information on Diffusion of Innovations over Social Networks

Jin, Young Mi; Ok, Jungseul; Yi, Yung; Shin, Jinwoo, IEEE International Conference on Computer Communications (INFOCOM) Network Science Workshop 2013, pp.3267 - 3272, IEEE, 2013-04

6
On the Progressive Spread over Strategic Diffusion: Asymptotic and Computation

Ok, Jungseul; Shin, Jinwoo; Yi, Yung, IEEE INFOCOM2015, IEEE Communications Society, 2015-04-20

7
Optimal Rate Sampling in 802.11 Systems

Combes, Richard; Proutiere, Alexandre; Yun, Donggyu; Ok, Jungseul; Yi, Yung, IEEE INFOCOM 2014, pp.2760 - 2767, IEEE Communications Society, 2014-04-27

8
Power of Bonus in Pricing for Crowdsourcing

Shin, Suho; Choi, Hoyong; Yi, Yung; Ok, Jungseul, 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS/PERFORMANCE 2022, pp.43 - 44, Association for Computing Machinery, Inc, 2022-06

rss_1.0 rss_2.0 atom_1.0