8 citations · 27 across the 5 of their papers we have counts for
5 papers
HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression
Yuefeng Zhang
Use this plain-text version for the arXiv abstract field: Learned image compression (LIC) models achieve strong rate-distortion performance but are hindered by high computational c…
A Rate-Distortion-Classification Approach for Lossy Image Compression
Yuefeng Zhang
In lossy image compression, the objective is to achieve minimal signal distortion while compressing images to a specified bit rate. The increasing demand for visual analysis applic…
End-to-End Optimized Image Compression with the Frequency-Oriented Transform
Yuefeng Zhang, Kai Lin
Image compression constitutes a significant challenge amidst the era of information explosion. Recent studies employing deep learning methods have demonstrated the superior perform…
Machine Perception-Driven Image Compression: A Layered Generative Approach
Yuefeng Zhang, Chuanmin Jia, Jiannhui Chang +1
In this age of information, images are a critical medium for storing and transmitting information. With the rapid growth of image data amount, visual compression and visual data pe…
An Introduction to Matrix factorization and Factorization Machines in Recommendation System, and Beyond
Yuefeng Zhang
This paper aims at a better understanding of matrix factorization (MF), factorization machines (FM), and their combination with deep algorithms' application in recommendation syste…