Jungseul Ok
ockjs1 at gmail dot com
About [CV]
Jungseul Ok is a research associate in Paul G. Allen School of Computer Science & Engineering, University of Washington, WA, US, where he works with Prof. Sewoong Oh. 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 also worked with Prof. Alexandre Proutiere as a postdoctoral researcher in School of Electrical Engineering at KTH, Sweden.
His research focus is understanding and improving practical systems based on theoretical model and analysis, where the systems of particular interest associate with graphical representations, e.g., Markov decision process, wireless network, social network, and crowdsourcing system. Here are some keywords:
• Reinforcement Learning - regret minimization, Markov decision process, multi-armed bandit
• Social Network - strategic diffusion, influence maximization, Ising model, hitting time analysis
• Learning in Graphical Model - crowdsourced classification, belief propagation, correlation decay
• Wireless Network - rate adaptation for 802.11n/ac, network virtualization, multi-armed bandit
Publication
You can also find my papers listed in Google Scholar.
Pre-print
- Suho Shin, Jungseul Ok, Hoyong Choi, and Yung Yi, "On the Posted Pricing in Crowdsourcing: Power of Bonus", arXiv preprint arXiv:1804.03178 , 2018
Conference
- Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, and Yung Yi, "Efficient Learning for Crowdsourced Regression", to appear in 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 (Early Access), 2018.[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, 2016 [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)
Short Summary
You can find more details about me in my CV.
Education
- Ph.D., Electrical Engineering, KAIST, South Korea, 2011.02 - 2016.08
- B.S.E., Electrical Engineering, KAIST, South Korea, 2007.02 - 2011.02
Work Experience
- 2017.04 - Current: Postdoctoral Researcher, School of Electrical Engineering, KTH, Sweden
- 2016.10 - 2016.03: 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, United State
- 2015.02 - 2015.05: Research Intern, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, United State
Award
- 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