Gwangsu Kim

According to our database, Gwangsu Kim authored at least 21 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Spatiotemporal Attention With Conditional Feature Modulation for Satellite-Based Solar Irradiance Prediction.

Hanwool Kim, Junhan Jeon, Jieun Wie, Jong-Min Yeom, Gwangsu Kim

IEEE Geosci. Remote. Sens. Lett., 2026

Transfer Learning Based on N-BEATS in Forecasting Univariate Time Series.

Minwoo Lee, Youngmi Lee, Gwangsu Kim

IEEE Access, 2026

2025

GK-2A Solar Energy in Korea.

Gwangsu Kim

Dataset, October, 2025

Hypothesis Perturbation for Active Learning.

Seong Jin Cho, Gwangsu Kim, Chang D. Yoo

IEEE J. Sel. Top. Signal Process., January, 2025

Stochastic Explicit Calibration Algorithm for Survival Models.

Jeongho Park, Sangwook Kang, Gwangsu Kim

IEEE Access, 2025

2024

Querying Easily Flip-flopped Samples for Deep Active Learning.

Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Surv_COVID19.

Gwangsu Kim

Dataset, February, 2022

Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation.

Sunghun Kang, Gwangsu Kim, Chang D. Yoo

Sensors, 2022

Deep Neural Network Based Accelerated Failure Time Models using Rank Loss.

Gwangsu Kim, Sangwook Kang

CoRR, 2022

Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms.

Gwangsu Kim, Chang D. Yoo, Seong J. Yang

IEEE Access, 2022

Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data".

Gwangsu Kim, Chang D. Yoo

IEEE Access, 2022

Blending Query Strategy of Active Learning for Imbalanced Data.

Gwangsu Kim, Chang D. Yoo

IEEE Access, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Periodic clustering of simple and complex cells in visual cortex.

Gwangsu Kim, Jaeson Jang, Se-Bum Paik

Neural Networks, 2021

Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold.

Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo

CoRR, 2021

2019

Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models.

Gwangsu Kim, Taeryon Choi

J. Multivar. Anal., 2019

Few-Shot Associative Domain Adaptation for Surface Normal Estimation.

Haeyong Kang, Gwangsu Kim, Chang Dong Yoo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Fire Detection Using Video Images and Temporal Variations.

Gwangsu Kim, Junyeong Kim, Sunghwan Kim

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

Predictive Models of Fire via Deep learning Exploiting Colorific Variation.

JiSeong Han, Gwangsu Kim, ChanSeo Lee, YeongKwang Han, Ung Hwang, Sunghwan Kim

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

2014

A statistical approach to smooth video quality adaptation in IEEE 802.11 wireless LANs.

Nakjung Choi, Jeongran Lee, Gwangsu Kim

Proceedings of the International Conference on Information and Communication Technology Convergence, 2014