Publications (SCIE Journal & Top-Tier AI Conference from 2022)
Sorted by year. * = JCR Q1 Journal or Top 5 Conference
2026
TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Hee Suk Yoon, Joshua Tian Jin Tee, Chang D. Yoo (Gwangsu Kim: co-author)
, *The Fourteenth International Conference on Learning Representations (accepted), 2026.
Link
2026
Spatiotemporal Attention With Conditional Feature Modulation for Satellite-Based Solar Irradiance Prediction
Hanwool Kim, Junhan Jeon, Jieun Wie, Jongmin Yeom, Gwangsu Kim (Gwangsu Kim: co-corresp.)
, *IEEE Geoscience and Remote Sensing Letters 23, 2026.
Link
2025
KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis
Jeongho Park, Daheen Kim, Cheoljun Kim, Hyungbin Park, Sangwook Kang, Gwangsu Kim (Gwangsu Kim: corresponding author)
, *The Thirty-Ninth Annual Conference on Neural Information Processing Systems, 2025.
Link
2025
Stochastic Explicit Calibration Algorithm for Survival Models
Jeongho Park, Sangwook Kang, Gwangsu Kim (Gwangsu Kim: corresponding)
, IEEE Access 13:78679-78706, 2025.
Link
2024
Hypothesis perturbation for active learning
Seong Jin Cho, Gwangsu Kim, Chang D. Yoo (Gwangsu Kim: co-first)
, *IEEE Journal of Selected Topics in Signal Processing 19(1):115-128, 2024.
Link
2024
Deep Neural Network‐Based Accelerated Failure Time Models Using Rank Loss
Gwangsu Kim, Jeongho Park, Sangwook Kang
, *Statistics in Medicine 43(28):5331-5343, 2024.
Link
2024
Bayesian analysis of the generalized additive proportional hazards model: Asymptotic studies
Gwangsu Kim, Chang D. Yoo, and Yongdai Kim
, *Bayesian Analysis 19(4):1225-1243, 2024.
Link
2023
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo (Gwangsu Kim: co-author)
, *The Eleventh International Conference on Learning Representations, 2023.
Link
2022
Fast and efficient MMD-based fair PCA via optimization over Stiefel manifold
Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo (Gwangsu Kim: co-corresp. author)
, *In: Proceedings of the AAAI conference on artificial intelligence:7363-7371 , 2022.
Link
2022
Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics
Seung Wang Hee et al. (Gwangsu Kim: co-author)
, *Science Advances 7(7):eabe5683, 2022.
Link
2022
Deep learning-based noise robust flexible piezoelectric acoustic sensors for speech processing
Young Hoon Jung et al. (Gwangsu Kim: co-author)
, *Nano Energy 101: 107610, 2022.
Link
2022
Blending query strategy of active learning for imbalanced data
Gwangsu Kim, and Chang D. Yoo.
, IEEE Access 10:79526-79542, 2022.
Link
2022
Survival analysis of COVID-19 patients with symptoms information by machine learning algorithms
Gwangsu Kim, Chang D. Yoo, and Seong J. Yang.
, IEEE Access 10 (2022):62282-62291, 2022.
Link
Publications (KCI* & Others from 2022)
2024
Application of online mirror descent algorithm to survival analysis
Gwangsu Kim
, *The Korean Journal of Applied Statistics 37(6):733-749, 2024.
Link
2024
A Survey and Analysis: Acceptance Degree of Fairness Metrics in Employment of Korea
Gwangsu Kim and Chang D. Yoo
, Journal of Artificial Intelligence Research and Applications 1(1):73-86, 2024.
Link
2024
Graph Neural Networks for Disease Prediction Based on Microbial Profiles
Paul Jeon, Jaeyoung Jang, Cheoljun Kim, Seungpyo Hong, and Gwangsu Kim (Gwangsu Kim: corresponding author)
, Journal of Artificial Intelligence Research and Applications 1(2):127-140, 2024.
Link
Presentation (2022~ )
2025
Poster:
Human vs LLM Text Classification Using a Multi-Feature Approach
Hyungbin Park, Kihoon Lee, Hanwool Kim, Cheoljun Kim, Shinsung Kang, and Gwangsu Kim
,
2025 한국인공지능학회 하계학술대회, 2025.
2025
Oral:
Smoothing the Time-varying AUC in Survival Analysis
Gwangsu Kim, Paul Jeon, JinSil Kim, Seong J. Yang
, 2025 한국톹계학회 하계 학술논문발표회, 2025.
2025
Poster:
GNN Classification for Disease based on Microbial Profiles
Paul Jeon, Jaeyoung Jang, Cheoljun Kim, Seungpyo Honge, Gwangsu Kim
, 2025 한국톹계학회 하계 학술논문발표회, 2025.
2025
Poster:
문서의 멀티모달 특징과 매니폴드 학습을 이용한 분류 성능 향상
김한울, 김광수
, 2025 한국통계학회 하계 학술논문발표회, 2025.
2025
Poster:
자연어 처리 기법(NLP)을 활용한 거대언어모델(LLM)과 인간 텍스트의 비교분석
박형빈, 이기훈, 김광수
, 2025 한국통계학회 하계 학술논문발표회, 2025.
2024
Oral:
Stochastic Explicit Calibration Algorithm for Survival Models
김광수, 박정호, 강상욱
,
2024 한국통계학회 하계 학술논문발표회 , 2024.
2024
Poster:
Interpretation of Medical Imaging in Survival Prediction with DNN and UMAP
Cheoljun Kim, Hanwool Kim, Hyeungbin Park, Gwangsu Kim
,
2024 한국인공지능학회 추계학술대회, 2024.
2024
Poster:
SCAL-R: Survival calibration using random interval
Jeongho Park, Gwangsu Kim, Sangwook Kang
,
2023 한국인공지능학회 추계학술대회, 2023.
2024
Oral:
DNN and Accelerated Failure Time Models for Nonparametric Mean
김광수, 박정호, 강상욱
,
2023 한국통계학회 하계 학술논문발표회 , 2023.
2022
ESD: Hyperparameter-Free Trainable Calibration Measure
Hee Suk Yoon, Joshua Tian Jin Tee, Gwangsu Kim, Chang D. Yoo
,
2022 한국인공지능학회 추계학술대회, 2022.
Lectures
Undergraduate Course
데이터과학프로그래밍입문 · 데이터관리및처리 · 데이터과학입문 · 데이터마이닝 · 기계학습 · 이미지및영상자료분석 ·
인공지능및딥러닝활용
Graduate Course
고급딥러닝 · 기계학습특강 · 그래프신경망 · 베이지안추론 · 통계세미나
Short Bio.
(2006.3~)2012.2
Ph.D at SNU Statistics (Nonparametric Bayesian Survival Analysis & Machine Learning)
2012.3~2013.8
Post Doc. at SNU Data Science for Knowledge Creation Research Center
2014.9~2016.2
Research Professor at Korea U. BK21plus Data Engineering Team
2016.3~2017.8
Research Assistant Professor at SNU Data Science for Knowledge Creation Research Center
2017.9~2023.2
Research Associate Professor at KAIST School of Electrical Engineering
2023.3~2025.8
Assistant Professor at JBNU Department of Statistics
2025.9~
Associate Professor at JBNU Department of Statistics
2025.3~
Vice President of Korean Artificial Intelligence Association
