Bo-Kyeong Kim
I am a senior machine learning researcher at Nota Inc.
I was a senior researcher at AI Research Center, Samsung SDS. I obtained PhD in Electrical Engineering at KAIST, where I was fortunate to be advised by Prof. Soo-Young Lee. After graduation, I worked with Prof. Eunho Yang as a postdoc at Graduate School of AI, KAIST.
bokyeong1015 at gmail dot com
[CV] [Google Scholar] [GitHub] [LinkedIn]
[04/2025] One paper is accepted to CVPR Workshop on Efficient Large Vision Models (ELVM).
[07/2024] One paper is accepted to European Conference on Computer Vision (ECCV).
[04/2024] Two papers are accepted to CVPR Workshop on Efficient and On-Device Generation (EDGE).
[03/2024] One paper is accepted to ICLR Workshop on Mathematical & Empirical Understanding of Foundation Models (ME-FoMo).
[06/2023] One paper is accepted to ICML Workshop on Efficient Systems for Foundation Models (ES-FoMo).
[05/2023] Two demos are accepted to ICCV Demo Track (available at Hugging Face Spaces).
[04/2023] One paper is accepted to MLSys Workshop on On-Device Intelligence (ODIW).
[01/2023] Our work is accepted to NVIDIA GPU Technology Conference (GTC) as Poster Spotlight.
[12/2022] Our work on supporting SegFormer is integrated into NetsPresso 1.2.0.
[10/2022] One paper is accepted to IEEE Transactions on Instrumentation & Measurement (TIM).
[06/2022] One paper is accepted to ICML Workshop on Hardware Aware Efficient Training (HAET).
[03/2022] Our work is accepted to NVIDIA Applied Research Accelerator Program (ARAP).
[11/2021] I'm thrilled to join Nota Inc.
I am currently interested in neural network compression (e.g., pruning [C16, C15, C14, C12, P2, C11, C10, C9], knowledge distillation [C15, C14, C13, C11, C10], quantization [C13, C10]).
My research interests are in the areas of machine learning to process:
Text: language/multimodal modeling [C16, C12, P2, J7], dialogue act classification [C8], document classification [J1]
Image/Video: text-to-image generation [C15, C14, C13, C11], talking face generation [C10, C9], RGB-NIR video fusion [J8], controllable image synthesis [C9, Thesis, P1, J6], fashion image manipulation [J6, A8], facial expression recognition [J4, C7, C6, A7, Challenge Winner], object recognition [C4]
Biosignal: rPPG-based heart rate estimation [J8], EEG classification [J3, C2, A1] & analysis [C5, A6, A4], fMRI analysis [J2]
Speech: speech enhancement [J5], emotional sound recognition [C3], intention recognition [A3]
Please refer to the publication page.
Ph.D., Electrical Engineering (Machine Learning), KAIST, 2020
Thesis: Learning-Based Image Synthesis with Disentangled Representations [PhD Defense] [Grad Research Portfolio]
Advisor: Soo-Young Lee, GPA: 4.24 / 4.3, Integrated MS-PhD Program
B.S., Bio and Brain Engineering, KAIST, 2012
Ranked 5th among all undergraduates at 2013 Commencement (5/838 = 0.6%)
GPA: 4.11 / 4.3 (summa cum laude)
Senior Researcher at Nota Inc. — Nov. 2021–Present
Senior Researcher at Samsung SDS — Apr. 2021–Oct. 2021
Postdoctoral Researcher at KAIST (Prof. Eunho Yang’s Group) — Apr. 2020–Aug. 2020
Undergraduate Researcher at KAIST (Prof. Soo-Young Lee’s Group) — Dec. 2011–Aug. 2012
Research Intern at KRISS — June 2011–Aug. 2011
Applied Research Accelerator Program (ARAP), NVIDIA, 2022
Excellence Award, Annual PhD Research Progress Evaluation, School of EE, KAIST, 2017
Challenge Winner, The 3rd Emotion Recognition in the Wild Challenge (EmotiW’15), ICMI, 2015
Qualcomm Innovation Award, Qualcomm Korea Corp. and KAIST, 2013
Graduate Full Scholarship from Korean Government, 2012–2019
Ranked 5th among All 838 Undergraduates based on GPA, KAIST Commencement, 2013
Undergraduate Full Scholarship from STX Scholarship Foundation, 2009–2012
Conference/Workshop Reviewing
International Conference on Computer Vision (ICCV) — 2025
International Conference on Machine Learning (ICML) — 2025∙2024∙2023∙2022
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) — 2025∙2024
International Conference on Learning Representations (ICLR) — 2025∙2024∙2023∙2022
Neural Information Processing Systems (NeurIPS) — 2024∙2023∙2022∙2021∙2020
CVPR Workshop on Efficient Large Vision Models (ELVM) — 2024
ECCV Workshop on Computational Aspects of Deep Learning (CADL) — 2022
ACM International Conference on Multimodal Interaction (ICMI) — 2017
Journal Reviewing
Neurocomputing, Elsevier — 2022∙2018
Pattern Recognition, Elsevier — 2021∙2020∙2017
IEEE Transactions on Affective Computing — 2020
IEEE Transactions on Multimedia — 2019
IEEE Access — 2019
Neural Processing Letters, Springer — 2015
“Style-Controlled Synthesis of Clothing Segments for Fashion Image Manipulation,” Kyungpook National Univ., Daegu, Korea, 2019
“AI for Fashion,” Sookmyung Women's Univ., Seoul, Korea, 2019
“AI for Fashion,” ETRI, Daejeon, Korea, 2017
“Fusing Aligned and Non-Aligned Face Information for Automatic Affect Recognition in the Wild,” CVPRW, Las Vegas, NV, 2016
“Hierarchical Committee of Deep CNNs for Static Facial Expression Recognition,” ICMI, Seattle, WA, 2015
“Spectral Feature Extraction Using dNMF for Emotion Recognition in Vowel Sounds,” ICONIP, Daegu, Korea, 2013