About me
I’m an PhD candidate in the Kim Jaechul Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST AI), advised by Prof. Se-young Yun. Prior to beginning of my PhD course, I worked as a research engineer at Samsung Heavy Industires. I recieved an M.S. in Ocean system engieerning from KAIST under the supervision of Prof. Hyun Chung and B.S in Industrial engineering at Konkuk University. My research interests focus on meta-learning, bayesian models, implicit neural representation, neural rendering, multi-agent reinforcement learning and their applications. Here is my CV.
Contact
Email : callingu [at] kaist.ac.kr
Research experience
[2021~] AI Advisor at Actnova.
[2023] Visiting PhD Student at DTU Congnitive System hosted by Prof. Søren Hauberg.
[2023] Research Intern at NAVER Cloud AI Lab.
[2014~2019] Research engineer at Samsung Heavy Industries
Awards
[2021] 2nd Winner in Student track at Machine Learning for Combinatorial Optimization Challenge (ML4CO) in NeurIPS2021 (Team : KAIST_OSI, Team leader).
[2016] Outstanding Project aimed at Increasing Productivity at Samsung Heavy Industires.
Conference Publications (Peer reviewed)
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
[paper][code][video]
Mingyu Kim, Kyeong Ryeol Go and Se-Young Yun
International Conference on Learning Representations (ICLR) 2022, Virtual
Journal Publications (Peer reviewed)
PolarGAN: Creating Realistic Arctic Sea Ice Concentration Images with User-Defined Geometric Preferences
[paper]
Mingyu Kim, Jaekyeong Lee, Leechan Choi and Minjoo Choi
Engineering Applications of Artificial Intelligence, Vol. 126, 2023
The StarCraft Multi-Agent Exploration Challenges : Learning Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
[paper][code][projectpage]
Mingyu Kim*, Jihwan Oh*, Yongsik Lee, Joonkee Kim, SeongHwan Kim, Song Chong and Se-Young Yun
IEEE Access, Vol. 11, 2023
Simplified welding distortion analysis for fillet welding using composite shell elements
[paper]
Mingyu Kim, Minseok Kang and Hyun Chung
International Journal of Naval Architecture and Ocean Engineering, Vol. 7(3), 2015
Meta-learning Amidst Heterogeneity and Ambiguity
[paper]
KyeongRyeol Go, Mingyu Kim, and Se-young Yun
IEEE Access, Vol. 11, 2023
Optimization of P.E area division and arrangement based on product mix
[paper]
Sanghwan Kim, Mingyu Kim and Hyun Chung
Journal of Marine Science and Technology, Vol. 19(4), 2014
Workshop Publications (Peer reviewed)
Refined Tensorial Radiance Field: Harnessing Coordinate-Based Networks for Novel View Synthesis from Sparse Inputs
[paper]
Mingyu Kim, Jun-Seong Kim, Se-Young Yun, Jin-Hwa Kim
Learning-Based Solutions for Inverse Problems Workshop in Neural Information Processing Systems (NeurIPS) 2023, New Orleans
The StarCraft Multi-Agent Challenges+ : Learning Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
[paper][code][projectpage]
Mingyu Kim*, Jihwan Oh*, Yongsik Lee, Joonkee Kim, SeongHwan Kim, Song Chong and Se-Young Yun
AI for Agent Based Modeling Workshop(Spotlight) in International Conference on Machine Learning (ICML) 2022, Baltimore
AVATAR: AI Vision Analysis for Three-dimensional Action in Real-time
Daegun Kim*, Jineun Kim*, Wongyo Jung*, Jungoon Park*, Mingyu Kim*, Anna Shin, Yong-Cheol Jeong, Seahyung Park, Gwanhoo Shin, Yewon Lee, Jea Kwon, Daesoo Kim
CV4Animals Workshop in Computer Vision and Pattern Recognition Conference (CVPR) 2022, New Orleans
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
[paper][code]
Mingyu Kim, Kyeong Ryeol Go and Se-Young Yun
5th Meta-learn Workshop in Neural Information Processing Systems (NeurIPS) 2021, Virtual
Domestic Journal Publications (Peer reviewed)
Optimization of Quantity Allocation using Integer Linear Programming in Shipbuilding Industry
[paper]
Junggoo Park, Mingyu Kim
Journal of the Society of Naval Architecture of Korea (Domestic), Vol. 57(1), 2020
A Study on Process Management Method of Offshore Plant Piping Material using Process Mining Technique
[paper]
Junggoo Park, Mingyu Kim, Jichan Park
Journal of the Society of Naval Architecture of Korea (Domestic), Vol. 56(2), 2019
A Study on the Installation Readiness Management Method of Offshore Plant using CAD Information
[paper]
Junggoo Park, Hojung Kim, Mingyu Kim, Jichan Park
Journal of the Society of Naval Architecture of Korea (Domestic), Vol. 56(2), 2019
A Study on the Utilization Strategy of Social Commerce in Small Restaurants
[paper]
Sungseok Ko, Mingyu Kim, Yungjin Yoo, Seoksul Kim
Journal of the Society of Korea Industrial and Systems Engineering (Domestic), Vol. 35(1), 2012
Academic Services
[Conference Reviewer] NeurIPS2022, ICLR2023, CVPR2024
[Workshop Reviewer] MetaLearn in NeurIPS2021