Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
[j6]Kaito Ariu
, Jungseul Ok, Alexandre Proutière, Seyoung Yun:
Optimal clustering from noisy binary feedback. Mach. Learn. 113(5): 2733-2764 (2024)- 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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 - 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 - 2020
- [c13]Jiin Woo, Jungseul Ok, Yung Yi:
Iterative learning of graph connectivity from partially-observed cascade samples. MobiHoc 2020: 141-150 - 2019
- [c12]Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi:
Iterative Bayesian Learning for Crowdsourced Regression. AISTATS 2019: 1486-1495 - 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 - 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 - 2016
- [c7]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. ICML 2016: 535-544 - 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
- [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
Informal and Other Publications
- 2024
- [i25]Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Active Label Correction for Semantic Segmentation with Foundation Models. CoRR abs/2403.10820 (2024) - [i24]Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok:
MedBN: Robust Test-Time Adaptation against Malicious Test Samples. CoRR abs/2403.19326 (2024) - [i23]Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho:
CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment. CoRR abs/2404.01123 (2024) - [i22]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) - 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
- [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
- [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) - 2019
- [i8]Kaito Ariu, Jungseul Ok, Alexandre Proutière, Se-Young Yun:
Optimal Clustering from Noisy Binary Feedback. CoRR abs/1910.06002 (2019) - 2018
- [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
- [i4]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yunhun Jang, Yung Yi:
Efficient Learning for Crowdsourced Regression. CoRR abs/1702.08840 (2017) - 2016
- [i3]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. CoRR abs/1602.03619 (2016) - 2013
- [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-09 03:38 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
