Juyoung Yun

14 papers B 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Revisiting 16-Bit Neural Network Training: A Practical Approach for Resource-Limited Learning.
ICONIP (1)
Juyoung Yun, Sol Choi, François Rameau, Byungkon Kang, Zhoulai Fu
2025 J jnl
Sharpness-Aware Minimization with Z-Score Gradient Filtering for Neural Networks.
CoRR
Juyoung Yun
2025 J jnl
Spectral and Temporal Denoising for Differentially Private Optimization.
CoRR
Hyeju Shin, Kyudan Jung, Seongwon Yun, Juyoung Yun
2025 J jnl
Stochastic gradient sampling for enhancing neural networks training.
Neural Comput. Appl.
Juyoung Yun
2024 J jnl
Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and LSTM Networks.
CoRR
Juyoung Yun, Jungmin Shin
2024 B conf
Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization.
IEEE Big Data
Juyoung Yun
2024 J jnl
Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization.
CoRR
Juyoung Yun
2024 B conf
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks.
IJCNN
Juyoung Yun
2024 — conf
Uncertainty Estimation for Tumor Prediction with Unlabeled Data.
CVPR Workshops
Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen
2024 J jnl
ZNorm: Z-Score Gradient Normalization for Accelerating Neural Network Training.
CoRR
Juyoung Yun, Hoyoung Kim, Suin Cho, Hangil Kang
2023 J jnl
In Defense of Pure 16-bit Floating-Point Neural Networks.
CoRR
Juyoung Yun, Byungkon Kang, François Rameau, Zhoulai Fu
2023 J jnl
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks.
CoRR
Juyoung Yun
2023 J jnl
StochGradAdam: Accelerating Neural Networks Training with Stochastic Gradient Sampling.
CoRR
Juyoung Yun
2023 J jnl
The Hidden Power of Pure 16-bit Floating-Point Neural Networks.
CoRR
Juyoung Yun, Byungkon Kang, Zhoulai Fu