first_name at postech dot ac dot kr
Jungseul Ok is an associate professor in the Department of Computer Science and Engineering and Graduate School of Artificial Intelligence, and a member of Machine Learning Lab at POSTECH. He completed Ph.D program in School of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST), South Korea, under the supervision of Prof. Yung Yi and Prof. Jinwoo Shin. After graduation, he worked with Prof. Alexandre Proutiere and Prof. Sewoong Oh as a postdoctoral researcher, respectively, in School of Electrical Engineering at KTH, Stockholm, Sweden, and Paul G. Allen School of Computer Science & Engineering, University of Washington, WA, US. He has been studied interactive machine learning, including active learning, structured reinforcement learning, and related applications.
I'm looking for graduate students, postdocs, and interns who want to work together on interesting machine learning problems. Reach me. (first_name at postech dot ac dot kr)
You can also find my papers listed in Google Scholar.
Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, and Gary Geunbae Lee, "An Investigation Into Explainable Audio Hate Speech Detection", SIGDIAL 2024
Juwon Kang, Nayeong Kim, Jungseul Ok, and Suha Kwak, "MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory", ECCV 2024
Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, and Jungseul Ok, "Key-Element-Informed sLLM Tuning for Document Summarization", INTERSPEECH 2024
Sangwon Ryu*, Heejin Do*, Yunsu Kim, Gary Geunbae Lee, and Jungseul Ok, "Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning", ACL (long) 2024
Hoyoung Kim, Sehyun Hwang, Suha Kwak, and Jungseul Ok, "Active Label Correction for Semantic Segmentation with Foundation Models", ICML 2024
Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, and Jungseul Ok, "Breadth-First Exploration in Adaptive Grid-based Reinforcement Learning", ICML 2024
Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, and Suha Kwak, "Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization", ICML 2024
Youngsik Yoon*, Jinhwan Nam*, Hyojeong Yun, Jaeho Lee, Dongwoo Kim, and Jungseul Ok, "Few-shot Unlearning", IEEE Symposium on Security and Privacy (S&P) 2024
Hyejin Park*, Jeongyeon Hwang*, Sunung Mun, Sangdon Park, Jungseul Ok, "MedBN: Robust Test Time Adaptation against Malicious Test Samples", CVPR 2024
Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, and Sunghyun Cho, "CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment", CVPR 2024
Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, and Suha Kwak, "Active Learning for Semantic Segmentation with Multi-class Label Query", NeurIPS 2023
Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, and Jungseul Ok, "Adaptive Superpixel for Active Learning in Semantic Segmentation", ICCV 2023
Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, and Suha Kwak, "Leveraging Proxy of Training Data for Test-Time Adaptation", ICML 2023
Jaechang Kim, Yunjoo Lee, Hyun Mi Cho, Dong Woo Kim, Chi Hoon Song, and Jungseul Ok, "Activity-informed Industrial Audio Anomaly Detection via Source Separation", ICASSP 2023
Byungchan Ko and Jungseul Ok, "Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning", NeurIPS 2022
Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, and Minsu Cho, "Towards Sequence-Level Training for Visual Tracking", ECCV 2022
Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, and Suha Kwak, "Combating Label Distribution Shift for Active Domain Adaptation", ECCV 2022
Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, and Dongwoo Kim, "MetaSSD: Meta-Learned Self-Supervised Detection", ISIT 2022
Jaechang Kim*, Yunjoo Lee*, Seunghoon Hong, and Jungseul Ok, "Learning Continuous Representation of Audio for Arbitrary Scale Super-Resolution", ICASSP 2022
Hoyoung Kim*, Seung Hyuk Cho*, Dongwoo Kim, and Jungseul Ok, "Robust Deep Learning from Crowds with Belief Propagation", AISTATS 2022
Suho Shin, Seungjoon Lee, and Jungseul Ok, "Multi-armed Bandit Algorithm against Strategic Replication", AISTATS 2022
Suho Shin, Hoyong Choi, Yung Yi, and Jungseul Ok "Power of Bonus in Pricing for Crowdsourcing", ACM SIGMETRICS 2022
Jaechang Kim*, Jinwoo Jeon*, Kangwook Lee, Sewoong Oh, and Jungseul Ok, "Gradient Inversion with Generative Image Prior", NeurIPS 2021 (also ICML-FL 2021)
Hyejin Park, Seiyun Shin, Kwang-Sung Jun, and Jungseul Ok, "Transfer Learning in Bandits with Latent Continuity", ISIT 2021
Jiin Woo, Jungseul Ok, and Yung Yi , "Iterative Learning of Graph Connectivity from Partially-Observed Cascade Samples", ACM MobiHoc 2020
Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, and Yung Yi, "Iterative Bayesian Learning for Crowdsourced Regression", AISTATS 2019, [code]
Jungseul Ok, Alexandre Proutiere, and Damianos Tranos, "Exploration in Structured Reinforcement Learning", NeurIPS 2018 (oral presentation), [slide] [poster]
Weiran Huang, Jungseul Ok, Liang Li, Wei Chen "Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications" , IJCAI 2018
Jungseul Ok, Se-Young Yun, Alexandre Proutiere, and Rami Mochaourab, "Collaborative Clustering: Sample complexity and Efficient Algorithms", ALT 2017
Jungseul Ok, Jinwoo Shin, and Yung Yi , "Incentivizing Strategic Users for Social Diffusion: Quantity or Quality?", IEEE INFOCOM 2017 [slide]
Jungseul Ok, Sewoong Oh, Jinwoo Shin and Yung Yi, "Optimality of Belief Propagation for Crowdsourced Classification", ICML 2016 [slide] [supp] [code]
Jungseul Ok, Jinwoo Shin, and Yung Yi , "On the Progressive Spread over Strategic Diffusion: Asymptotic and Computation" , IEEE INFOCOM 2015 (Bronze Prize, 21st Samsung Humantech Thesis, Samsung Electronics, 2014) [slide]
Jungseul Ok, Youngmi Jin, Jinwoo Shin and Yung Yi, "On Maximizing the Diffusion Speed in Social Networks: Impact of Random Seeding and Clustering", ACM SIGMETRICS 2014 [slide]
Richard Combes, Alexandre Proutiere, Donggyu Yun, Jungseul Ok, and Yung Yi, "Optimal Rate Sampling in 802.11 Systems" , IEEE INFOCOM 2014 [code]
Youngmi Jin, Jungseul Ok, Yung Yi, and Jinwoo Shin, "On the Impact of Global Information on Diffusion of Innovations over Social Networks", NetSciCom@IEEE INFOCOM 2013
Seungje Woo, Sung G. Lee, Jungseul Ok, and Jong-Hwan Kim, "Development and Implementation of Break Falling System for a Biped Robot", RiTA 2012 [demo]
Hyejin Park, Seiyun Shin, Kwang-Sung Jun, and Jungseul Ok, "Transfer Learning in Bandits with Latent Continuity", IEEE Transactions on Information Theory, Aug 2024
Kaito Ariu, Jungseul Ok, Alexandre Proutiere, and Seyoung Yun, "Optimal Clustering from Noisy Binary Feedback", Machine Learning, 2024.
Richard Combes, Jungseul Ok, Alexandre Proutiere, Donggyu Yun, and Yung Yi , “Optimal Rate Sampling in 802.11 systems: Theory, Design, and Implementation", IEEE Transactions on Mobile Computing, vol 18, no. 5, pp. 1145-1158, May 2019, doi: 10.1109/TMC.2018.2854758.[code]
Jungseul Ok, Sewoong Oh, Jinwoo Shin, and Yung Yi, "Optimal Inference in Crowdsourced Classification via Belief Propagation" IEEE Transactions on Information Theory, vol. 64, no. 9, pp. 6127-6138, 2018
Jungseul Ok, Youngmi Jin, Jinwoo Shin, and Yung Yi, "On Maximizing Diffusion Speed over Social Network with Strategic Users" IEEE/ACM Transactions of Networking, vol. 24, no. 6, pp. 3798-3811, Dec 2016, doi:10.1109/TNET.2016.2556719 [supp]
Donggyu Yun, Jungseul Ok, Bongjhin Shin, Soobum Park, and Yung Yi, "Embedding of Virtual Network Requests over Static Wireless Multihop Networks" Elsevier Computer Networks, vol.57, no.5, pp.1139-1152 , 2013. [code]
Jungseul Ok, Sewoong Oh, Jinwoo Shin, and Yung Yi, "Optimality of Belief Propagation for Crowdsourced Classification", CrowdML@NIPS, 2016 [slide] [supp] [code]
Jungseul Ok, Youngmi Jin, Jaeyoung Choi, Jinwoo Shin, and Yung Yi, "Influence Maximization over Strategic Diffusion in Social Networks" , IEEE CISS, 2014 (invited paper)
Hyejin Park (MS+PhD / 2020 Spring -present) @ Grad. School of AI/POSTECH
Hoyoung Kim (MS+PhD / 2020 Fall-present) @ Grad. School of AI/POSTECH
Jaechang Kim (MS+PhD / 2021 Spring-present) @ Grad. School of AI/POSTECH
Youngsik Yoon (MS+PhD / 2021 Spring-present) @ Dept. of CSE/POSTECH
Jabin Koo (MS+PhD / 2021 Fall-present) @ Dept. of CSE/POSTECH
Jinhwan Nam (MS+PhD / 2022 Spring-present) @ Grad. School of AI/POSTECH
Seungjoon Lee (MS+PhD / 2022 Fall-present) @ Dept. of CSE/POSTECH
Sunung Mun (MS+PhD / 2022 Fall-present) @ Grad. School of AI/POSTECH
Minwoo Jang (MS+PhD / 2023 Spring-present) @ Grad. School of AI/POSTECH
Minhyeon Oh (MS+PhD / 2023 Spring-present) @ Dept. of CSE/POSTECH
Jeongyeon Hwang (MS / 2023 Spring-present) @ Grad. School of AI/POSTECH
SeockBean Song (MS / 2023 Spring-present) @ Grad. School of AI/POSTECH
Jeongjin Kim (MS / 2023 Spring-present) @ Dept. of CSE/POSTECH
Sungjae Lee (PhD / 2023 Fall-present) @ Dept. of CSE/POSTECH
Seokhee Jin (MS / 2024 Spring-present) @ Grad. School of AI/POSTECH
Byungchan Ko (MS 2022 Spring, GSAI) @ Nalbi
Jinwoo Jeon (MS 2022 Fall, CSE) @ KT
Gangbok Lee (MS 2024 Spring, GSAI) @ RGA Inc.
Yunjoo Lee (MS 2024 Fall, GSAI) @ Neurocle
You can find more details about me in my CV.
Ph.D., Electrical Engineering, KAIST, South Korea, 2011.02 - 2016.08
B.S.E., Electrical Engineering, KAIST, South Korea, 2007.02 - 2011.02
2019.08 - Current: Assistant Professor, Dept. of CSE/Grad. School of AI, POSTECH, South Korea
2019.01 - 2019.08: Postdoctoral Researcher, Paul G. Allen School of Computer Science & Engineering, UW, WA, USA
2018.09 - 2019.01: Postdoctoral Researcher, Coordinated Science Laboratory, UIUC, IL, USA
2017.04 - 2018.09: Postdoctoral Researcher, School of Electrical Engineering, KTH, Sweden
2016.10 - 2017.03: Postdoctoral Researcher, School of Electrical Engineering, KAIST, South Korea
2016.02 - 2016.05: Research Intern, Theory Group, Microsoft Research Asia, China
2015.06 - 2015.10: Research Intern, Center of Non-Linear Studies, Los Alamos National Laboratory, USA
2015.02 - 2015.05: Research Intern, Department of Electrical and Computer Engineering, UIUC, IL, USA
Qualcomm-KAIST Innovation Award, Qualcomm, 2016
Nomination Award, Fellowships at Microsoft Research Asia, 2015
Bronze Prize, 21st Samsung Humantech Thesis, Samsung Electronics, 2014
Summa Cum Laude Honor, KAIST, 2011
Silver Prize, Undergraduate Research Program, KAIST, 2010