JUNGTAEK KIMPh.D. Student
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| ADDRESS | Machine Learning Group, 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 | |
| FAX | +82-54-279-2299 | |
| HOMEPAGE | http://mlg.postech.ac.kr/~jtkim |
EDUCATION
| Mar 01, 2015 - Present |
Ph.D. Course in Computer Science and Engineering, POSTECH (Advisor: Prof. Seungjin Choi) |
| 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
- Automation of Machine Learning
- Hyperparameter Optimization
- Bayesian Optimization
WORK EXPERIENCES
| 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
Pre-print
- Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, and Yee Whye Teh. Set Transformer. arXiv:1810.00825, October 1, 2018.
- Jungtaek Kim, Saehoon Kim, and Seungjin Choi. Learning to Warm-Start Bayesian Hyperparameter Optimization. arXiv:1710.06219, October 17, 2017.
Conference
- Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, and Seungjin Choi. Open Set Recognition by Regularizing Classifier with Fake Data Generated by Generative Adversarial Networks. In Proceedings of the Forty-Third IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2018), Calgary, Alberta, Canada, April 15-20, 2018.
- Jungtaek Kim and Seungjin Choi. Clustering-Guided GP-UCB for Bayesian Optimization. In Proceedings of the Forty-Third IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2018), Calgary, Alberta, Canada, April 15-20, 2018.
- Saehoon Kim, Jungtaek Kim, and Seungjin Choi. On the Optimal Bit Complexity of Circulant Binary Embedding. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-2018), New Orleans, Louisiana, USA, February 2-7, 2018.
Workshop
- Minseop Park, Saehoon Kim, Jungtaek Kim, Yanbin Liu, and Seungjin Choi. TAEML: Task-Adaptive Ensemble of Meta-Learners. Neural Information Processing Systems (NIPS) Workshop on Meta-Learning (MetaLearn-2018), Montreal, Quebec, Canada, December 8, 2018.
- Jungtaek Kim and Seungjin Choi. Automated Machine Learning for Soft Voting in an Ensemble of Tree-based Classifiers. International Workshop on Automatic Machine Learning at International Conference on Machine Learning (ICML) / International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (IJCAI-ECAI) (AutoML-2018), Stockholm, Sweden, July 14, 2018.
- Jungtaek Kim, Saehoon Kim, and Seungjin Choi. Learning to Transfer Initializations for Bayesian Hyperparameter Optimization. Neural Information Processing Systems (NIPS) Workshop on Bayesian Optimization (BayesOpt-2017), Long Beach, California, USA, December 9, 2017.
- Jungtaek Kim, Jongheon Jeong, and Seungjin Choi. AutoML System Using Random Space Partitioning Optimizer. The Fifteenth KYUTECH-POSTECH Joint Workshop on Neuroinformatics, Pohang, Republic of Korea, August 23, 2016. (Oral presentation)
- Jungtaek Kim, Jongheon Jeong, and Seungjin Choi. AutoML Challenge: AutoML Framework Using Random Space Partitioning Optimizer. International Conference on Machine Learning (ICML) Workshop on Automatic Machine Learning (AutoML-2016), New York, New York, USA, June 24, 2016. (Special track, 3-page)
AWARDS & HONOR
| 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
- Reviewer: AutoML-2018, ACML-2018, IJCNN-2018, IJCNN-2017
TEACHING
Teaching Assistant
- Official
- Probabilistic Graphical Models (Fall 2018), Machine Learning Course for Industries (SK Hynix (Fall 2018), Samsung Electronics Device Solutions Business (Fall 2017, Summer 2017), POSCO Group (Summer 2017, Spring 2017)), Automata & Formal Languages (Fall 2016)
- Non-official
- Machine Learning (Spring 2016)
ARCHIVES
- Curriculum Vitae
- Papers
- Research Topics
- Articles
- Pictures
- Assets
ELSEWHERE
RELATED LINKS
Last updated: November 11, 2018