23 citations · 61 across the 15 of their papers we have counts for
7 papers · 1 filter
Adaptive Weighting Push-SUM for Decentralized Optimization with Statistical Diversity
Yiming Zhou, Yifei Cheng, Linli Xu +1
Statistical diversity is a property of data distribution and can hinder the optimization of a decentralized network. However, the theoretical limitations of the Push-SUM protocol r…
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods
Yiming Zhou, Zixuan Zeng, Andi Chen +7
Exploring the capabilities of Neural Radiance Fields (NeRF) and Gaussian-based methods in the context of 3D scene reconstruction, this study contrasts these modern approaches with…
Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation
Zhenglin Li, Bo Guan, Yuanzhou Wei +3
Generative Adversarial Networks (GANs) have significantly advanced image processing, with Pix2Pix being a notable framework for image-to-image translation. This paper explores a no…
Integrating AI in NDE: Techniques, Trends, and Further Directions
Eduardo Pérez, Cemil Emre Ardic, Ozan Çakıroğlu +9
The digital transformation is fundamentally changing our industries, affecting planning, execution as well as monitoring of production processes in a wide range of application fiel…
Proximal Dogleg Opportunistic Majorization for Nonconvex and Nonsmooth Optimization
Yiming Zhou, Wei Dai
We consider minimizing a function consisting of a quadratic term and a proximable term which is possibly nonconvex and nonsmooth. This problem is also known as scaled proximal oper…
Jointly Learning Selection Matrices For Transmitters, Receivers And Fourier Coefficients In Multichannel Imaging
Han Wang, Yiming Zhou, Eduardo Perez +1
Strategic subsampling has become a focal point due to its effectiveness in compressing data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging. This pape…
Communication-Efficient Distributed Learning with Local Immediate Error Compensation
Yifei Cheng, Li Shen, Linli Xu +6
Gradient compression with error compensation has attracted significant attention with the target of reducing the heavy communication overhead in distributed learning. However, exis…