Cong Cao

Cong Cao
Central South University | CSU · School of Mathematics and Statistics

Doctor of Computational Mathematics

About

10
Publications
740
Reads
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3
Citations
Citations since 2017
10 Research Items
3 Citations
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Introduction
Artificial intelligence medical image analysis, Medical big data, Graph neural network(GCN/GNN), deep leraning, machine learning
Education
September 2020 - August 2024
Central South University
Field of study
  • Health big data and intelligent medicine, Artificial intelligence medical image analysis, The application of neural network
September 2017 - July 2020
Fuzhou University
Field of study
  • EDA(Electronic Design Automation) , optimization algorithm, ,machine learning

Publications

Publications (10)
Article
Full-text available
Clustering or partition is a fundamental work for graph or network. Detecting communities is a typical clustering, which divides a network into several parts according to the modularity. Community detection is a critical challenge for designing scalable, adaptive and survivable trust management protocol for a community of interest-based social IoT...
Article
In recent years, elliptic partial differential equations (PDEs) have been challenging in numerical mathematics, engineering, and physics. In this paper, we proposed a novel approach called Multilayer Neural Network for Partial Differential Equations (MLNPDE) based on deep learning algorithms by exploring the elliptic PDE family under certain condit...
Preprint
In this paper, we mainly study the process of small computing power nodes in Ethereum making profits by jointly using the defects of incentive mechanism and the comparison of benefits under different strategies. Firstly, we formulated the optimal combination strategy based on the principle of income maximization, established the Markov chain model,...
Article
Full-text available
A diabetic foot ulcer(DFU) is a common chronic complication of diabetes because of the dysfunction of islets or receptors of insulin, and it has a high disability and mortality rate. Measuring diabetic foot ulcers is also one of the popular application areas where computer vision combines with deep learning techniques. However, some remaining defec...
Chapter
Full-text available
The Click-though Rate (CTR) prediction task is a basic task in recommendation system. Most of the previous researches of CTR models built based on Wide & deep structure and gradually evolved into parallel structures with different modules. However, the simple accumulation of parallel structures can lead to higher structural complexity and longer tr...
Article
Full-text available
Acne vulgaris, the most common skin disease, can cause substantial economic and psychological impacts to the people it affects, and its accurate grading plays a crucial role in the treatment of patients. In this paper, we firstly proposed an acne grading criterion that considers lesion classifications and a metric for producing accurate severity ra...
Preprint
Full-text available
Purpose: We aimed to develop endoplasmic reticulum (ER) stress-related risk signature to predict the prognosis of melanoma and elucidate the immune characteristics and benefit of immunotherapy in ER-related risk score-defined subgroups of melanoma based on a machine learning algorithm. Methods: Based on The Cancer Genome Atlas (TCGA) melanoma datas...
Article
Full-text available
As the gold standard for the detection of Esophageal Motility Disorder(EMD), High-Resolution Manometry(HRM) has been widely used in clinical tests to assist doctors in diagnosis. The amount of HRM images explodes with an increase in the prevalence rate, and the diagnostic process of EMD is complicated, both of which may lead to misdiagnosis of EMD...

Network

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Projects

Projects (2)
Project
Medical image processing,GNN,deep learning. To achieve the combination of mathematics, artificial intelligence and medical.