Gwangsu Kim

24 papers A* 3A 1B 1C 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Spatiotemporal Attention With Conditional Feature Modulation for Satellite-Based Solar Irradiance Prediction.
IEEE Geosci. Remote. Sens. Lett.
Hanwool Kim, Junhan Jeon, Jieun Wie, Jong-Min Yeom, Gwangsu Kim
2026 J jnl
Transfer Learning Based on N-BEATS in Forecasting Univariate Time Series.
IEEE Access
Minwoo Lee, Youngmi Lee, Gwangsu Kim
2025 J jnl
Hypothesis Perturbation for Active Learning.
IEEE J. Sel. Top. Signal Process.
Seong Jin Cho, Gwangsu Kim, Chang D. Yoo
2025 J jnl
Stochastic Explicit Calibration Algorithm for Survival Models.
IEEE Access
Jeongho Park, Sangwook Kang, Gwangsu Kim
2024 A* conf
Querying Easily Flip-flopped Samples for Deep Active Learning.
ICLR
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
2024 J jnl
Querying Easily Flip-flopped Samples for Deep Active Learning.
CoRR
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
2023 A* conf
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure.
ICLR
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
2023 J jnl
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure.
CoRR
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
2022 J jnl
Blending Query Strategy of Active Learning for Imbalanced Data.
IEEE Access
Gwangsu Kim, Chang D. Yoo
2022 J jnl
Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data".
IEEE Access
Gwangsu Kim, Chang D. Yoo
2022 J jnl
Deep Neural Network Based Accelerated Failure Time Models using Rank Loss.
CoRR
Gwangsu Kim, Sangwook Kang
2022 J jnl
Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation.
Sensors
Sunghun Kang, Gwangsu Kim, Chang D. Yoo
2022 A* conf
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold.
AAAI
Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo
2022 J jnl
Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms.
IEEE Access
Gwangsu Kim, Chang D. Yoo, Seong J. Yang
2021 J jnl
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold.
CoRR
Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo
2021 J jnl
Periodic clustering of simple and complex cells in visual cortex.
Neural Networks
Gwangsu Kim, Jaeson Jang, Se-Bum Paik
2019 J jnl
Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models.
J. Multivar. Anal.
Gwangsu Kim, Taeryon Choi
2019 C ed.
Digital Forensics and Watermarking - 17th International Workshop, IWDW 2018, Jeju Island, Korea, October 22-24, 2018, Proceedings
IWDW
Chang D. Yoo, Yun Qing Shi, Hyoung-Joong Kim, Alessandro Piva, Gwangsu Kim
2019 B conf
Few-Shot Associative Domain Adaptation for Surface Normal Estimation.
ICIP
Haeyong Kang, Gwangsu Kim, Chang Dong Yoo
2019 — conf
Fire Detection Using Video Images and Temporal Variations.
ICAIIC
Gwangsu Kim, Junyeong Kim, Sunghwan Kim
2019 — conf
Predictive Models of Fire via Deep learning Exploiting Colorific Variation.
ICAIIC
JiSeong Han, Gwangsu Kim, Chanseo Lee, YeongKwang Han, Ung Hwang, Sunghwan Kim
2014 — conf
A statistical approach to smooth video quality adaptation in IEEE 802.11 wireless LANs.
ICTC
Nakjung Choi, Jeongran Lee, Gwangsu Kim
2012 C conf
Lightweight AUTOSAR software platform for automotive.
ICCE
Jaeyoung Kim, Jungwook Lee, Jeongho Son, Kee-Koo Kwon, Gwangsu Kim
2009 A conf
Design of Development Tool for Automotive ECU Based on OSEK/VDX.
ESA
SungHo Ahn, Jaeyoung Kim, Gwangsu Kim