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ORCIDJungseul Ok
Person information
- affiliation: POSTECH, Pohang, South Korea
- affiliation (former): KTH, Stockholm, Sweden
- affiliation (former): Korea Advanced Institute of Science and Technology (KAIST), South Korea
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2020 – today
- 2024
[j6]Kaito Ariu
, Jungseul Ok, Alexandre Proutière, Seyoung Yun:
Optimal clustering from noisy binary feedback. Mach. Learn. 113(5): 2733-2764 (2024)- [c35]Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Lee, Jungseul Ok:
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. ACL (1) 2024: 5858-5871 - [c34]Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho:
CLIPtone: Unsupervised Learning for Text-Based Image Tone Adjustment. CVPR 2024: 2942-2951 - [c33]Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok:
MedBN: Robust Test-Time Adaptation against Malicious Test Samples. CVPR 2024: 5997-6007 - [c32]Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Active Label Correction for Semantic Segmentation with Foundation Models. ICML 2024 - [c31]Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak:
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. ICML 2024 - [c30]Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok:
Breadth-First Exploration on Adaptive Grid for Reinforcement Learning. ICML 2024 - [c29]Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, Gary Geunbae Lee:
An Investigation into Explainable Audio Hate Speech Detection. SIGDIAL 2024: 533-543 - [c28]Youngsik Yoon, Jinhwan Nam, Hyojeong Yun, Jaeho Lee, Dongwoo Kim, Jungseul Ok:
Few-shot Unlearning. SP 2024: 3276-3292 - [i29]Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Active Label Correction for Semantic Segmentation with Foundation Models. CoRR abs/2403.10820 (2024) - [i28]Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok:
MedBN: Robust Test-Time Adaptation against Malicious Test Samples. CoRR abs/2403.19326 (2024) - [i27]Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho:
CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment. CoRR abs/2404.01123 (2024) - [i26]Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok:
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. CoRR abs/2406.00303 (2024) - [i25]Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok:
Key-Element-Informed sLLM Tuning for Document Summarization. CoRR abs/2406.04625 (2024) - [i24]Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, Gary Geunbae Lee:
An Investigation Into Explainable Audio Hate Speech Detection. CoRR abs/2408.06065 (2024) - [i23]Yunjoo Lee, Jaechang Kim, Jungseul Ok:
Activity-Guided Industrial Anomalous Sound Detection against Interferences. CoRR abs/2409.01885 (2024) - [i22]Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak:
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. CoRR abs/2409.03303 (2024) - 2023
- [c27]Jaechang Kim, Yunjoo Lee, Hyun Mi Cho, Dong Woo Kim, Chi Hoon Song, Jungseul Ok:
Activity-Informed Industrial Audio Anomaly Detection Via Source Separation. ICASSP 2023: 1-5 - [c26]Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Adaptive Superpixel for Active Learning in Semantic Segmentation. ICCV 2023: 943-953 - [c25]Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak:
Leveraging Proxy of Training Data for Test-Time Adaptation. ICML 2023: 15737-15752 - [c24]Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak:
Active Learning for Semantic Segmentation with Multi-class Label Query. NeurIPS 2023 - [i21]Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Adaptive Superpixel for Active Learning in Semantic Segmentation. CoRR abs/2303.16817 (2023) - [i20]Jaechang Kim, Jeongyeon Hwang, Soheun Yi, Jaewoong Cho, Jungseul Ok:
Addressing Feature Imbalance in Sound Source Separation. CoRR abs/2309.05287 (2023) - [i19]Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak:
Active Learning for Semantic Segmentation with Multi-class Label Query. CoRR abs/2309.09319 (2023) - 2022
- [c23]Suho Shin, Seungjoon Lee, Jungseul Ok:
Multi-armed Bandit Algorithm against Strategic Replication. AISTATS 2022: 403-431 - [c22]Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok:
Robust Deep Learning from Crowds with Belief Propagation. AISTATS 2022: 2803-2822 - [c21]Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho:
Towards Sequence-Level Training for Visual Tracking. ECCV (22) 2022: 534-551 - [c20]Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak:
Combating Label Distribution Shift for Active Domain Adaptation. ECCV (33) 2022: 549-566 - [c19]Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok:
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. ICASSP 2022: 3703-3707 - [c18]Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim:
MetaSSD: Meta-Learned Self-Supervised Detection. ISIT 2022: 480-485 - [c17]Byungchan Ko, Jungseul Ok:
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning. NeurIPS 2022 - [c16]Suho Shin, Hoyong Choi, Yung Yi, Jungseul Ok:
Power of Bonus in Pricing for Crowdsourcing. SIGMETRICS (Abstracts) 2022: 43-44 - [i18]Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim:
MetaSSD: Meta-Learned Self-Supervised Detection. CoRR abs/2205.15271 (2022) - [i17]Youngsik Yoon, Jinhwan Nam, Hyojeong Yun, Dongwoo Kim, Jungseul Ok:
Few-Shot Unlearning by Model Inversion. CoRR abs/2205.15567 (2022) - [i16]Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho:
Towards Sequence-Level Training for Visual Tracking. CoRR abs/2208.05810 (2022) - [i15]Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak:
Combating Label Distribution Shift for Active Domain Adaptation. CoRR abs/2208.06604 (2022) - 2021
- [j5]Suho Shin, Hoyong Choi, Yung Yi, Jungseul Ok:
Power of Bonus in Pricing for Crowdsourcing. Proc. ACM Meas. Anal. Comput. Syst. 5(3): 36:1-36:25 (2021) - [c15]Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok:
Transfer Learning in Bandits with Latent Continuity. ISIT 2021: 1463-1468 - [c14]Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok:
Gradient Inversion with Generative Image Prior. NeurIPS 2021: 29898-29908 - [i14]Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok:
Transfer Learning in Bandits with Latent Continuity. CoRR abs/2102.02472 (2021) - [i13]Byungchan Ko, Jungseul Ok:
Time Matters in Using Data Augmentation for Vision-based Deep Reinforcement Learning. CoRR abs/2102.08581 (2021) - [i12]Suho Shin, Seungjoon Lee, Jungseul Ok:
Multi-armed Bandit Algorithm against Strategic Replication. CoRR abs/2110.12160 (2021) - [i11]Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok:
Gradient Inversion with Generative Image Prior. CoRR abs/2110.14962 (2021) - [i10]Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok:
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. CoRR abs/2111.00195 (2021) - [i9]Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok:
Robust Deep Learning from Crowds with Belief Propagation. CoRR abs/2111.00734 (2021) - 2020
- [c13]Jiin Woo, Jungseul Ok, Yung Yi:
Iterative learning of graph connectivity from partially-observed cascade samples. MobiHoc 2020: 141-150
2010 – 2019
- 2019
- [j4]Richard Combes, Jungseul Ok, Alexandre Proutière, Donggyu Yun, Yung Yi:
Optimal Rate Sampling in 802.11 Systems: Theory, Design, and Implementation. IEEE Trans. Mob. Comput. 18(5): 1145-1158 (2019) - [c12]Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi:
Iterative Bayesian Learning for Crowdsourced Regression. AISTATS 2019: 1486-1495 - [i8]Kaito Ariu, Jungseul Ok, Alexandre Proutière, Se-Young Yun:
Optimal Clustering from Noisy Binary Feedback. CoRR abs/1910.06002 (2019) - 2018
- [j3]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimal Inference in Crowdsourced Classification via Belief Propagation. IEEE Trans. Inf. Theory 64(9): 6127-6138 (2018) - [c11]Weiran Huang, Jungseul Ok, Liang Li, Wei Chen:
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications. IJCAI 2018: 2291-2297 - [c10]Jungseul Ok, Alexandre Proutière, Damianos Tranos:
Exploration in Structured Reinforcement Learning. NeurIPS 2018: 8888-8896 - [i7]Suho Shin, Jungseul Ok, Hoyong Choi, Yung Yi:
On the Posted Pricing in Crowdsourcing: Power of Bonus. CoRR abs/1804.03178 (2018) - [i6]Weiran Huang, Jungseul Ok, Liang Li, Wei Chen:
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (Extended Version). CoRR abs/1805.01685 (2018) - [i5]Jungseul Ok, Alexandre Proutière, Damianos Tranos:
Exploration in Structured Reinforcement Learning. CoRR abs/1806.00775 (2018) - 2017
- [c9]Jungseul Ok, Se-Young Yun, Alexandre Proutière, Rami Mochaourab:
Collaborative Clustering: Sample Complexity and Efficient Algorithms. ALT 2017: 288-329 - [c8]Jungseul Ok, Jinwoo Shin, Yung Yi:
Incentivizing strategic users for social diffusion: Quantity or quality? INFOCOM 2017: 1-9 - [i4]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yunhun Jang, Yung Yi:
Efficient Learning for Crowdsourced Regression. CoRR abs/1702.08840 (2017) - 2016
- [j2]Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi:
On Maximizing Diffusion Speed Over Social Networks With Strategic Users. IEEE/ACM Trans. Netw. 24(6): 3798-3811 (2016) - [c7]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. ICML 2016: 535-544 - [i3]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. CoRR abs/1602.03619 (2016) - 2015
- [c6]Jungseul Ok, Jinwoo Shin, Yung Yi:
On the progressive spread over strategic diffusion: Asymptotic and computation. INFOCOM 2015: 1562-1570 - 2014
- [c5]Jungseul Ok, Youngmi Jin, Jaeyoung Choi, Jinwoo Shin, Yung Yi:
Influence maximization over strategic diffusion in social networks. CISS 2014: 1-5 - [c4]Richard Combes, Alexandre Proutière, Donggyu Yun, Jungseul Ok, Yung Yi:
Optimal Rate Sampling in 802.11 systems. INFOCOM 2014: 2760-2767 - [c3]Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi:
On maximizing diffusion speed in social networks: impact of random seeding and clustering. SIGMETRICS 2014: 301-313 - 2013
- [j1]Donggyu Yun, Jungseul Ok, Bongjhin Shin, Soobum Park, Yung Yi:
Embedding of virtual network requests over static wireless multihop networks. Comput. Networks 57(5): 1139-1152 (2013) - [c2]Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin:
On the impact of global information on diffusion of innovations over social networks. INFOCOM Workshops 2013: 193-198 - [c1]Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin:
On the impact of global information on diffusion of innovations over social networks. INFOCOM 2013: 3267-3272 - [i2]Richard Combes, Alexandre Proutière, Donggyu Yun, Jungseul Ok, Yung Yi:
Optimal Rate Sampling in 802.11 Systems. CoRR abs/1307.7309 (2013) - 2012
- [i1]Donggyu Yun, Jungseul Ok, Bongjhin Shin, Soobum Park, Yung Yi:
Embedding of Virtual Network Requests over Static Wireless Multihop Networks. CoRR abs/1207.1878 (2012)
Coauthor Index
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