About me
I’m an Postdoctoral Research Fellow at The University of British Columbia (UBC) working with Prof. Mi-Jung Park. I received an Ph.D. in Artificial Intelligence from KAIST under the supervision of 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 neural fields, implicit neural representation, optimal transport, multi-modal learning, few-shot learning, differential privacy, generative models, bayesian models, multi-agent reinforcement learning and their applications. Here is my CV.
Contact
Email : mgyu.kim [at] ubc.ca
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)
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
[paper][code][projectpage]
Mingyu Kim, Jun-Seong Kim, Se-Young Yun† and Jin-Hwa Kim† († : Co-corresponding authors)
International Conference on Machine Learning (ICML) 2024, Vienna
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)
Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices and Large Scale Environments
[paper][projectpage]
Jun-Seong Kim*, Mingyu Kim*, Geon-U Kim, Tae-Hyun Oh† and Jin-Hwa Kim† (* : Co-first authors, † : Co-corresponding authors)
IEEE Robotics and Automation Letters, 2024
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] NeurIPS{2022, 2024}, ICLR{2023, 2025}, CVPR{2024,2025}, AAAI2025, AISTATS2025
[Workshop Reviewer] MetaLearn in NeurIPS2021, GRaM in ICML2024
[PhD Application Reviewer] ELLIS-PhD Program 2024