2 citations · 3 across the 5 of their papers we have counts for
7 papers
A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images
Zhizhong Wu, Jiajing Chen, LiangHao Tan +3
This paper presents a lightweight image fusion algorithm specifically designed for merging visible light and infrared images, with an emphasis on balancing performance and efficien…
Reducing Bias in Deep Learning Optimization: The RSGDM Approach
Honglin Qin, Hongye Zheng, Bingxing Wang +3
Currently, widely used first-order deep learning optimizers include non-adaptive learning rate optimizers and adaptive learning rate optimizers. The former is represented by SGDM (…
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function
Hongye Zheng, Bingxing Wang, Minheng Xiao +3
Adaptive optimizers are pivotal in guiding the weight updates of deep neural networks, yet they often face challenges such as poor generalization and oscillation issues. To counter…
Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits
Wangying Yang, Zitao Zheng, Zhizhong Wu +2
This study introduces a pioneering Dynamic Hypergraph Networks (DHCE) model designed to predict future medical diagnoses from electronic health records with enhanced accuracy. The…
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems
Minheng Xiao, Zhizhong Wu
This paper introduces the Multiple Greedy Quasi-Newton (MGSR1-SP) method, a novel approach to solving strongly-convex-strongly-concave (SCSC) saddle point problems. Our method enha…
Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
Hao Yan, Zixiang Wang, Zhengjia Xu +3
Super-resolution reconstruction techniques entail the utilization of software algorithms to transform one or more sets of low-resolution images captured from the same scene into hi…