Jungseul Ok

Orcid: 0000-0003-4742-2473

Affiliations:
  • POSTECH, Pohang, South Korea
  • KTH, Stockholm, Sweden (former)
  • Korea Advanced Institute of Science and Technology (KAIST), South Korea (former)


According to our database1, Jungseul Ok authored at least 39 papers between 2013 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
MedBN: Robust Test-Time Adaptation against Malicious Test Samples.
CoRR, 2024

Active Label Correction for Semantic Segmentation with Foundation Models.
CoRR, 2024

2023
Addressing Feature Imbalance in Sound Source Separation.
CoRR, 2023

Active Learning for Semantic Segmentation with Multi-class Label Query.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging Proxy of Training Data for Test-Time Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

Adaptive Superpixel for Active Learning in Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Activity-Informed Industrial Audio Anomaly Detection Via Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Few-Shot Unlearning by Model Inversion.
CoRR, 2022

Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MetaSSD: Meta-Learned Self-Supervised Detection.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Sequence-Level Training for Visual Tracking.
Proceedings of the Computer Vision - ECCV 2022, 2022

Combating Label Distribution Shift for Active Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-armed Bandit Algorithm against Strategic Replication.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Robust Deep Learning from Crowds with Belief Propagation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Power of Bonus in Pricing for Crowdsourcing.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Time Matters in Using Data Augmentation for Vision-based Deep Reinforcement Learning.
CoRR, 2021

Gradient Inversion with Generative Image Prior.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Transfer Learning in Bandits with Latent Continuity.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Iterative learning of graph connectivity from partially-observed cascade samples.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020

2019
Optimal Rate Sampling in 802.11 Systems: Theory, Design, and Implementation.
IEEE Trans. Mob. Comput., 2019

Optimal Clustering from Noisy Binary Feedback.
CoRR, 2019

Iterative Bayesian Learning for Crowdsourced Regression.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Optimal Inference in Crowdsourced Classification via Belief Propagation.
IEEE Trans. Inf. Theory, 2018

Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (Extended Version).
CoRR, 2018

On the Posted Pricing in Crowdsourcing: Power of Bonus.
CoRR, 2018

Exploration in Structured Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Efficient Learning for Crowdsourced Regression.
CoRR, 2017

Incentivizing strategic users for social diffusion: Quantity or quality?
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Collaborative Clustering: Sample Complexity and Efficient Algorithms.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016
On Maximizing Diffusion Speed Over Social Networks With Strategic Users.
IEEE/ACM Trans. Netw., 2016

Optimality of Belief Propagation for Crowdsourced Classification.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
On the progressive spread over strategic diffusion: Asymptotic and computation.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2014
On maximizing diffusion speed in social networks: impact of random seeding and clustering.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Optimal Rate Sampling in 802.11 systems.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Influence maximization over strategic diffusion in social networks.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013
Embedding of virtual network requests over static wireless multihop networks.
Comput. Networks, 2013

On the impact of global information on diffusion of innovations over social networks.
Proceedings of the 2013 Proceedings IEEE INFOCOM Workshops, 2013


  Loading...