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ORCIDGwangsu Kim
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2020 – today
- 2024
[c7]Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo:
Querying Easily Flip-flopped Samples for Deep Active Learning. ICLR 2024- [i4]Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo:
Querying Easily Flip-flopped Samples for Deep Active Learning. CoRR abs/2401.09787 (2024) - 2023
- [c6]Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo:
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. ICLR 2023 - [i3]Hee Suk Yoon
, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo:
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. CoRR abs/2303.02472 (2023) - 2022
- [j6]Gwangsu Kim, Chang D. Yoo, Seong J. Yang:
Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms. IEEE Access 10: 62282-62291 (2022) - [j5]Gwangsu Kim, Chang D. Yoo:
Blending Query Strategy of Active Learning for Imbalanced Data. IEEE Access 10: 79526-79542 (2022) - [j4]Gwangsu Kim, Chang D. Yoo:
Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data". IEEE Access 10: 111909 (2022) - [j3]Sunghun Kang, Gwangsu Kim, Chang D. Yoo:
Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation. Sensors 22(14): 5271 (2022) - [c5]Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo:
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. AAAI 2022: 7363-7371 - [d1]Gwangsu Kim:
Surv_COVID19. IEEE DataPort, 2022
- [i2]Gwangsu Kim, Sangwook Kang:
Deep Neural Network Based Accelerated Failure Time Models using Rank Loss. CoRR abs/2206.05974 (2022) - 2021
- [j2]Gwangsu Kim, Jaeson Jang, Se-Bum Paik:
Periodic clustering of simple and complex cells in visual cortex. Neural Networks 143: 148-160 (2021) - [i1]Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo:
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold. CoRR abs/2109.11196 (2021)
2010 – 2019
- 2019
- [j1]Gwangsu Kim, Taeryon Choi:
Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models. J. Multivar. Anal. 171: 68-82 (2019) - [c4]Gwangsu Kim, Junyeong Kim, Sunghwan Kim:
Fire Detection Using Video Images and Temporal Variations. ICAIIC 2019: 564-567 - [c3]JiSeong Han, Gwangsu Kim, ChanSeo Lee, YeongKwang Han, Ung Hwang, Sunghwan Kim:
Predictive Models of Fire via Deep learning Exploiting Colorific Variation. ICAIIC 2019: 579-581 - [c2]Haeyong Kang, Gwangsu Kim, Chang Dong Yoo:
Few-Shot Associative Domain Adaptation for Surface Normal Estimation. ICIP 2019: 4619-4623 - [e1]Chang D. Yoo, Yun Qing Shi, Hyoung-Joong Kim, Alessandro Piva, Gwangsu Kim:
Digital Forensics and Watermarking - 17th International Workshop, IWDW 2018, Jeju Island, Korea, October 22-24, 2018, Proceedings. Lecture Notes in Computer Science 11378, Springer 2019, ISBN 978-3-030-11388-9 [contents] - 2014
- [c1]Nakjung Choi, Jeongran Lee, Gwangsu Kim:
A statistical approach to smooth video quality adaptation in IEEE 802.11 wireless LANs. ICTC 2014: 530-531
Coauthor Index
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