Cong Cao

Central South University | CSU · School of Mathematics and Statistics

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...

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...

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,...

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...

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...

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...

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...

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...