Cheng He (何成)
Cheng He (何成)
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Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning
Due to acromegaly’s insidious onset and slow progression, its diagnosis is usually delayed, thus causing severe complications and …
Yanguo Kong
,
Xiangyi Kong
,
Cheng He
,
Changsong Liu
,
Liting Wang
,
Lijuan Su
,
Jun Gao
,
Qi Guo
,
Ran Cheng
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DOI
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling
In evolutionary multiobjective optimization, the Pareto front (PF) is approximated by using a set of representative candidate solutions …
Ye Tian
,
Xingyi Zhang
,
Ran Cheng
,
Cheng He
,
Yaochu Jin
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DOI
Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization
Offspring generation plays an important role in evolutionary multiobjective optimization. However, generating promising candidate …
Cheng He
,
Ran Cheng
,
Danial Yazdani
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DOI
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation
In this paper, we propose a framework to accelerate the computational efficiency of evolutionary algorithms on large-scale …
Cheng He
,
Lianghao Li
,
Ye Tian
,
Xingyi Zhang
,
Ran Cheng
,
Yaochu Jin
,
Xin Yao
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DOI
A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization
Diversity preservation is a crucial technique in multiobjective evolutionary algorithms (MOEAs), which aims at evolving the population …
Ye Tian
,
Cheng He
,
Ran Cheng
,
Xingyi Zhang
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DOI
Model-based evolutionary algorithms: a short survey
The evolutionary algorithms (EAs) are a family of nature-inspired algorithms widely used for solving complex optimization problems. …
Ran Cheng
,
Cheng He
,
Yaochu Jin
,
Xin Yao
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DOI
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