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JUNGTAEK KIM Ph.D. Student |
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NEWS
- [January 2021] My work "Bayesian Optimization with Approximate Set Kernels" (with Michael McCourt, Tackgeun You, Saehoon Kim, and Seungjin Choi) will be appeared in Machine Learning Journal as a part of Special Issue of the ECML-PKDD-2021 Journal Track.
- [January 2021] Happy new year to all of you!
- [December 2020] I will serve as a reviewer for ICML-2021.
- [December 2020] I released version 0.4.3 of BayesO.
- [November 2020] My work, Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope (with Minsu Cho and Seungjin Choi) is released on arXiv.
- [November 2020] My recent project, Combinatorial-3D-Shape-Generation and its subordinate project, Geometric-Primitives are made publicly available on GitHub.
- [November 2020] I will give a tutorial on Bayesian optimization (with Seungjin Choi) at KSC-2020.
EDUCATION
| Mar 01, 2015 - Present |
Ph.D. Course in Computer Science and Engineering, POSTECH (Advisor: Dr. Seungjin Choi and Dr. Minsu Cho) |
| Mar 01, 2010 - Feb 13, 2015 |
B.S. in Mechanical Engineering & Computer Science and Engineering, POSTECH |
| Mar 01, 2007 - Feb 28, 2010 |
High School Graduate at Hansung Science High School |
CURRENT RESEARCH INTERESTS
- Statistical Machine Learning
- Bayesian Optimization
- Hyperparameter Optimization
- Automation of Machine Learning
- Sequential Assembly
WORK EXPERIENCES
| Oct 30, 2020 - Feb 05, 2021 |
Research Intern, Vector Institute / Remote Research |
| Jan 02, 2018 - Apr 27, 2018 |
Research Engineering Intern, SigOpt Inc. / San Francisco, USA |
| Oct 30, 2017 - Dec 29, 2017 |
Research Intern, AITRICS / Seoul, Republic of Korea |
| Jul 25, 2017 - Oct 20, 2017 |
Research Intern, Samsung Electronics / Hwaseong, Repubic of Korea |
| Jan 01, 2016 - Jul 31, 2017 |
Advisor, XBrain Inc. / Pohang, Repubic of Korea |
| Jan 02, 2017 - Jan 26, 2017 |
Research Intern, Samsung Electronics / Hwaseong, Repubic of Korea |
| Aug 01, 2016 - Aug 26, 2016 |
Research Intern, Samsung Electronics / Hwaseong, Repubic of Korea |
PUBLICATIONS
Conference / Journal / Workshop Papers
Work-in-Progress
- Jungtaek Kim, Minsu Cho, and Seungjin Choi. Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope. arXiv:2011.13094, November 26, 2020.
AWARDS & HONOR
| Jun 09, 2019 | ICML Travel Award for ICML-2019 |
| Jun 06, 2018 | 2nd place in AutoML Challenge 2018 (PAKDD-2018 Data Competition) |
| Apr 15, 2018 | IEEE Signal Processing Society Travel Grant for ICASSP-2018 |
| Nov 18, 2016 | Best paper runner-up award for LG U+ in 2016 Fall Conference of Korea Business Intelligence Data Mining Society |
| Jun 24, 2016 | 3rd place in AutoML5 phase of AutoML Challenge |
| Jul 03, 2014 | Software Maestro (organized by Korea government (Ministry of Science, ICT and Future Planning & National IT Promotion Agency)) |
| Mar 02, 2010 | Presidential Science Scholarship |
PROFESSIONAL SERVICES
TEACHING
Teaching Assistant
- Artificial Intelligence (Spring 2019), Probabilistic Graphical Models (Fall 2018), Machine Learning Course for Industries (SK Hynix (Summer 2020, Spring 2019, Fall 2018), Samsung Electronics Device Solutions Business (Fall 2017, Summer 2017), POSCO Group (Summer 2019, Summer 2017, Spring 2017)), Automata & Formal Languages (Fall 2016), Machine Learning (Spring 2016)
- Curriculum Vitae
- Papers
- Research Topics
- Articles
- Pictures
- Assets
ELSEWHERE
- Academic Profile: Google Scholar, DBLP, Semantic Scholar, ORCID
- Social Network: LinkedIn, Twitter
- Development: GitHub
RELATED LINKS
Last updated: January 26, 2021
| ADDRESS | Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang-si 37673, Gyeongsangbuk-do, Republic of Korea | |
| jtkim@postech.ac.kr; jtkim@postech.edu | ||
| PHONE | +82-54-279-2924 | |
| HOMEPAGE | http://mlg.postech.ac.kr/~jtkim |