Shuhua Yu

According to our database, Shuhua Yu authored at least 17 papers between 2009 and 2026.

Collaborative distances:

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

2026

RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization.

Shenyang Deng, Zhuoli Ouyang, Tianyu Pang, Zihang Liu, Ruochen Jin, Shuhua Yu, Yaoqing Yang

CoRR, March, 2026

HTMuon: Improving Muon via Heavy-Tailed Spectral Correction.

Tianyu Pang, Yujie Fang, Zihang Liu, Shenyang Deng, Lei Hsiung, Shuhua Yu, Yaoqing Yang

CoRR, March, 2026

Smoothed Gradient Clipping and Error Feedback for Decentralized Optimization under Symmetric Heavy-Tailed Noise.

Shuhua Yu, Dusan Jakovetic, Soummya Kar

SIAM J. Optim., 2026

Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-Tailed Noise and Power of Symmetry.

Aleksandar Armacki, Shuhua Yu, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

SIAM J. Optim., 2026

2025

Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence.

Shuhua Yu, Dusan Jakovetic, Soummya Kar

CoRR, May, 2025

High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise.

Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Distributed Sign Momentum with Local Steps for Training Transformers.

Shuhua Yu, Ding Zhou, Cong Xie, An Xu, Zhi Zhang, Xin Liu, Soummya Kar

CoRR, 2024

Large Deviations and Improved Mean-squared Error Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry.

Aleksandar Armacki, Shuhua Yu, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

CoRR, 2024

Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees.

Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

CoRR, 2024

2023

Secure Distributed Optimization Under Gradient Attacks.

Shuhua Yu, Soummya Kar

IEEE Trans. Signal Process., 2023

Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches.

Aniruddha Saha, Shuhua Yu, Mohammad Sadegh Norouzzadeh, Wan-Yi Lin, Chaithanya Kumar Mummadi

Trans. Mach. Learn. Res., 2023

Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise.

Shuhua Yu, Dusan Jakovetic, Soummya Kar

CoRR, 2023

Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches.

Aniruddha Saha, Shuhua Yu, Arash Norouzzadeh, Wan-Yi Lin, Chaithanya Kumar Mummadi

CoRR, 2023

2021

Dynamic Median Consensus Over Random Networks.

Shuhua Yu, Yuan Chen, Soummya Kar

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Resilient decentralized optimization in multi-agent networks with data injection attack.

Shuhua Yu, Yuan Chen, Soummya Kar

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2018

An Alternating Minimization Approach to Optimizing Subarray Configuration for a Large Phased Array.

Wenqiang Pu, Yang Yu, Shuhua Yu, Zhi-Quan Luo

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

2009

Sharing University Resources Based on Grid Portlet.

Shuhua Yu, Jianlin Zhang, Chunjuan Fu

Proceedings of the High Performance Computing and Applications, 2009