Publication

You can also find my papers listed in Google Scholar.

Pre-print

• Kaito Ariu, Jungseul Ok, Alexandre Proutiere and Se-Young Yun, "Optimal Clustering from Noisy Binary Feedback" 

Conference

• 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, Jong-Hwan Kim, "Development and Implementation of Break Falling System for a Biped Robot", RiTA 2012 [demo]

Journal

• 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]

Invited Paper

• 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)