309 citations · 661 across the 15 of their papers we have counts for
15 papers
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm
Jiahong Wei, Zhun Fan
Recently, many methods based on hand-designed convolutional neural networks (CNNs) have achieved promising results in automatic retinal vessel segmentation. However, these CNNs rem…
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Zhun Fan, Jiahong Wei, Guijie Zhu +2
The accurate retinal vessel segmentation (RVS) is of great significance to assist doctors in the diagnosis of ophthalmology diseases and other systemic diseases. Manually designing…
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems
Zhun Fan, Zhaojun Wang, Wenji Li +6
In dealing with constrained multi-objective optimization problems (CMOPs), a key issue of multi-objective evolutionary algorithms (MOEAs) is to balance the convergence and diversit…
Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network
Zhun Fan, Jiajie Mo, Benzhang Qiu +6
Retinal vessel segmentation is a crucial step in diagnosing and screening various diseases, including diabetes, ophthalmologic diseases, and cardiovascular diseases. In this paper,…
Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems
Zhun Fan, Wenji Li, Zhaojun Wang +6
This paper proposes a push and pull search method in the framework of differential evolution (PPS-DE) to solve constrained single-objective optimization problems (CSOPs). More spec…
Automated Strabismus Detection for Telemedicine Applications
Jiewei Lu, Zhun Fan, Ce Zheng +4
Strabismus is one of the most influential ophthalmologic diseases in human's life. Timely detection of strabismus contributes to its prognosis and treatment. Telemedicine, which ha…
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems
Zhun Fan, Yi Fang, Wenji Li +3
This paper proposes a novel constraint-handling mechanism named angle-based constrained dominance principle (ACDP) embedded in a decomposition-based multi-objective evolutionary al…
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network
Zhun Fan, Yuming Wu, Jiewei Lu +1
Automated pavement crack detection is a challenging task that has been researched for decades due to the complicated pavement conditions in real world. In this paper, a supervised…
Object Sorting Using a Global Texture-Shape 3D Feature Descriptor
Zhun Fan, Zhongxing Li, Benzhang Qiu +4
Object recognition and grasping plays a key role in robotic systems, especially for the autonomous robots to implement object sorting tasks in a warehouse. In this paper, we presen…
Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator
Zhun Fan, Yugen You, Haodong Zheng +5
A new kind of six degree-of-freedom teaching manipulator without actuators is designed, for recording and conveniently setting a trajectory of an industrial robot. The device requi…
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems
Zhun Fan, Wenji Li, Xinye Cai +5
This paper proposes a push and pull search (PPS) framework for solving constrained multi-objective optimization problems (CMOPs). To be more specific, the proposed PPS divides the…
An Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions
Zhun Fan, Wenji Li, Xinye Cai +6
This paper proposes an improved epsilon constraint-handling mechanism, and combines it with a decomposition-based multi-objective evolutionary algorithm (MOEA/D) to solve constrain…
A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus images
Zhun Fan, Jiewei Lu, Wenji Li +4
In this paper, a hierarchical image matting model is proposed to extract blood vessels from fundus images. More specifically, a hierarchical strategy utilizing the continuity and e…
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit
Zhun Fan, Wenji Li, Xinye Cai +5
Multi-objective evolutionary algorithms (MOEAs) have progressed significantly in recent decades, but most of them are designed to solve unconstrained multi-objective optimization p…
A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems
Zhun Fan, Wenji Li, Xinye Cai +3
In this paper, we design a set of multi-objective constrained optimization problems (MCOPs) and propose a new repair operator to address them. The proposed repair operator is used…