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 52 papers between 2013 and 2024.

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Bibliography

2024
Transfer Learning in Bandits With Latent Continuity.
IEEE Trans. Inf. Theory, November, 2024

Optimal clustering from noisy binary feedback.
Mach. Learn., May, 2024

Active Preference-based Learning for Multi-dimensional Personalization.
CoRR, 2024

Retrieval-Augmented Generation with Estimation of Source Reliability.
CoRR, 2024

Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients.
CoRR, 2024

Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation.
CoRR, 2024

Activity-Guided Industrial Anomalous Sound Detection against Interferences.
CoRR, 2024

Key-Element-Informed sLLM Tuning for Document Summarization.
CoRR, 2024

Few-shot Unlearning.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

An Investigation into Explainable Audio Hate Speech Detection.
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

Breadth-First Exploration on Adaptive Grid for Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Active Label Correction for Semantic Segmentation with Foundation Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory.
Proceedings of the Computer Vision - ECCV 2024, 2024

MedBN: Robust Test-Time Adaptation against Malicious Test Samples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CLIPtone: Unsupervised Learning for Text-Based Image Tone Adjustment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

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

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 IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013


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