JUNGTAEK KIM

Ph.D. Student
of Computer Science and Engineering

NEWS

[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.
[October 2020] My work "Combinatorial 3D Shape Generation via Sequential Assembly" has been accepted at NeurIPS Workshop on Machine Learning for Engineering Modeling, Simulation, and Design (ML4Eng-2020).
[October 2020] My work "Fragment Relation Networks for Geometric Shape Assembly" has been accepted at NeurIPS Workshop on Learning Meets Combinatorial Algorithms (LMCA-2020).
[October 2020] I am serving as a program committee member for UAI-2021.
[October 2020] I will start working as a (remote) research intern at the Vector Institute under the supervision of Dr. Graham Taylor.
[October 2020] I am serving as a reviewer for AISTATS-2021.
[September 2020] The recent work "Bootstrapping neural processes" has been accepted at NeurIPS-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

WORK EXPERIENCES

Oct 30, 2020 - Present	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

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.
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, and Seungjin Choi. Practical Bayesian Optimization over Sets. arXiv:1905.09780, May 23, 2019.

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)

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
EMAIL	jtkim@postech.ac.kr; jtkim@postech.edu
PHONE	+82-54-279-2924
HOMEPAGE	http://mlg.postech.ac.kr/~jtkim