Juyoung Yun

According to our database, Juyoung Yun authored at least 11 papers between 2023 and 2025.

Collaborative distances:

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

2025

Stochastic gradient sampling for enhancing neural networks training.

Juyoung Yun

Neural Comput. Appl., July, 2025

Spectral and Temporal Denoising for Differentially Private Optimization.

Hyeju Shin, Kyudan Jung, Seongwon Yun, Juyoung Yun

CoRR, May, 2025

Sharpness-Aware Minimization with Z-Score Gradient Filtering for Neural Networks.

Juyoung Yun

CoRR, May, 2025

2024

ZNorm: Z-Score Gradient Normalization for Accelerating Neural Network Training.

Juyoung Yun, Hoyoung Kim, Suin Cho, Hangil Kang

CoRR, 2024

Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and LSTM Networks.

Juyoung Yun, Jungmin Shin

CoRR, 2024

Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks.

Juyoung Yun

Proceedings of the International Joint Conference on Neural Networks, 2024

Uncertainty Estimation for Tumor Prediction with Unlabeled Data.

Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization.

Juyoung Yun

Proceedings of the IEEE International Conference on Big Data, 2024

2023

StochGradAdam: Accelerating Neural Networks Training with Stochastic Gradient Sampling.

Juyoung Yun

CoRR, 2023

In Defense of Pure 16-bit Floating-Point Neural Networks.

Juyoung Yun, Byungkon Kang, François Rameau, Zhoulai Fu

CoRR, 2023

The Hidden Power of Pure 16-bit Floating-Point Neural Networks.

Juyoung Yun, Byungkon Kang, Zhoulai Fu

CoRR, 2023