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Jungseul Ok
Jungseul Ok
Assistant Professor, CSE/AI, POSTECH
Verified email at postech.ac.kr - Homepage
Title
Cited by
Cited by
Year
Gradient inversion with generative image prior
J Jeon, K Lee, S Oh, J Ok
Advances in neural information processing systems 34, 29898-29908, 2021
992021
Exploration in structured reinforcement learning
J Ok, A Proutiere, D Tranos
Advances in Neural Information Processing Systems 31, 2018
672018
Optimal rate sampling in 802.11 systems: Theory, design, and implementation
R Combes, J Ok, A Proutiere, D Yun, Y Yi
IEEE Transactions on Mobile Computing 18 (5), 1145-1158, 2018
562018
Optimal rate sampling in 802.11 systems
R Combes, A Proutiere, D Yun, J Ok, Y Yi
IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 2760-2767, 2014
552014
Optimality of belief propagation for crowdsourced classification
J Ok, S Oh, J Shin, Y Yi
International Conference on Machine Learning, 535-544, 2016
502016
Embedding of virtual network requests over static wireless multihop networks
D Yun, J Ok, B Shin, S Park, Y Yi
Computer Networks 57 (5), 1139-1152, 2013
422013
On maximizing diffusion speed in social networks: impact of random seeding and clustering
J Ok, Y Jin, J Shin, Y Yi
ACM SIGMETRICS Performance Evaluation Review 42 (1), 301-313, 2014
252014
Towards sequence-level training for visual tracking
M Kim, S Lee, J Ok, B Han, M Cho
European Conference on Computer Vision, 534-551, 2022
232022
On Maximizing Diffusion Speed Over Social Networks With Strategic Users
J Ok, Y Jin, J Shin, Y Yi
IEEE/ACM Transactions on Networkings 24 (6), 2016
162016
On maximizing diffusion speed over social networks with strategic users
J Ok, Y Jin, J Shin, Y Yi
IEEE/ACM Transactions on Networking 24 (6), 3798-3811, 2016
162016
Combinatorial pure exploration with continuous and separable reward functions and its applications.
W Huang, J Ok, L Li, W Chen
IJCAI, 2291-2297, 2018
132018
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning
B Ko, J Ok
arXiv preprint arXiv:2206.00518, 2022
12*2022
Combating label distribution shift for active domain adaptation
S Hwang, S Lee, S Kim, J Ok, S Kwak
European Conference on Computer Vision, 549-566, 2022
102022
Iterative bayesian learning for crowdsourced regression
J Ok, S Oh, Y Jang, J Shin, Y Yi
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
10*2019
On the impact of global information on diffusion of innovations over social networks
Y Jin, J Ok, Y Yi, J Shin
2013 Proceedings IEEE INFOCOM, 3267-3272, 2013
102013
Learning continuous representation of audio for arbitrary scale super resolution
J Kim, Y Lee, S Hong, J Ok
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
92022
Few-shot unlearning by model inversion
Y Yoon, J Nam, H Yun, J Lee, D Kim, J Ok
arXiv preprint arXiv:2205.15567, 2022
82022
Iterative learning of graph connectivity from partially-observed cascade samples
J Woo, J Ok, Y Yi
Proceedings of the Twenty-First International Symposium on Theory …, 2020
62020
Leveraging proxy of training data for test-time adaptation
J Kang, N Kim, D Kwon, J Ok, S Kwak
42023
Adaptive superpixel for active learning in semantic segmentation
H Kim, M Oh, S Hwang, S Kwak, J Ok
Proceedings of the IEEE/CVF International Conference on Computer Vision, 943-953, 2023
42023
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Articles 1–20