Publications

* denotes equal contribution.

Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
VD Yun, J Jo, SP Karimireddy, S Lee
Under ReviewPreprint (arXiv), 2026
Robust Multi-Agent LLMs under Byzantine Faults
H Lee*, VD Yun*, H Oh*, D Panagou, SP Karimireddy
WorkshopICML 2026 · Agents in the Wild: Safety, Security, and Beyond
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning
J Yun, S Choi, F Rameau, B Kang, Z Fu
ConferenceICONIP 2025 · 🥇 Best Paper Award

Model Compression

Locality-Aware Redundancy Pruning for LLM Depth Compression
VD Yun*, Y Kim*, W Lim*, YJ Heo, M Kim, S Lee
Under Review2026
Rethinking Layer Redundancy: Calibration Matters More Than Search in LLM Depth Pruning
M Kim*, VD Yun*, Y Kim*, S Cho, W Lim, S Lee
Under Review2026
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
VD Yun, J Jo, SP Karimireddy, S Lee
Under ReviewPreprint (arXiv), 2026
Spectrum-Shaping Regularization for Neural Network Training Robust to Low-Rank Pruning
J Jo, VD Yun, S Lee
Under Review2026
Weight Concentration Regularization for Improving Pruning Robustness Under High Sparsity
VD Yun, J Jo, S Lee
Under Review2026
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning
J Yun, S Choi, F Rameau, B Kang, Z Fu
ConferenceICONIP 2025 · 🥇 Best Paper Award
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks
J Yun
ConferenceIJCNN 2024 · Oral

Agent

Robust Multi-Agent LLMs under Byzantine Faults
H Lee*, VD Yun*, H Oh*, D Panagou, SP Karimireddy
WorkshopICML 2026 · Agents in the Wild: Safety, Security, and Beyond

Optimization

Sharpness-Aware Minimization with Z-Score Gradient Filtering
VD Yun
ConferenceIEEE ICASSP 2026 · also at NeurIPS 2025 OPT
On How Muon Reshapes Skill Learning Dynamics
AR Aranda, VD Yun, V Sharan, B Vasudeva
WorkshopICML 2026 · High-dimensional Learning Dynamics (HiLD)
Asynchronous Sharpness-Aware Minimization for Fast and Accurate Deep Learning
J Jo, J Lim, VD Yun, S Lee
Under Review2026
Why Does Stochastic Gradient Descent Slow Down in Low-Precision Training?
VD Yun
WorkshopNeurIPS 2025 · OPT
Hyperparameter-Free Auto-Scaled Gradient Normalization via Global Standard Deviation Dynamics
VD Yun
WorkshopNeurIPS 2025 · OPT
Fast Fourier Transform-Based Spectral and Temporal Gradient Filtering for Differential Privacy
H Shin*, VD Yun*, K Jung*, S Yun*
WorkshopACM CIKM 2025 · Human-Centric AI
Stochastic Gradient Sampling for Enhancing Neural Networks Training
J Yun
JournalNeural Computing and Applications, 2025
ZNorm: Z-Score Gradient Normalization Accelerating Skip-Connected Network Training Without Architectural Modification
J Yun
WorkshopAAAI 2025 · AI for Research and Scalable, Efficient Systems
Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization
J Yun
WorkshopIEEE BigData 2024 · BPOD

Others

MedCLM: Learning to Localize and Reason via a CoT-Curriculum in Medical Vision-Language Models
VD Yun, et al.
Under ReviewPreprint (arXiv)
Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
D Yun
arXivPreprint, 2024
Extreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams
J Yun, J Shin
arXivPreprint, 2024
Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and ARIMA-LSTM Networks
J Yun, J Shin
ConferenceSPAICE 2024 · ESA / IAA, AI in and for Space
Uncertainty Estimation for Tumor Prediction with Unlabeled Data
J Yun, S Abousamra, C Li, R Gupta, T Kurc, D Samaras, A Van Dyke, et al.
WorkshopIEEE/CVF CVPR 2024 · CVMI