Yan Pei

Orcid: 0000-0003-1545-9204

Affiliations:
  • University of Aizu, Computer Science Division, Japan
  • Kyushu University, Fukuoka, Japan
  • Northeastern University, Shenyang, China


According to our database1, Yan Pei authored at least 98 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Interactive Differential Evolution Method With Human Auditory Perception for Sound Composition.
IEEE Trans. Cogn. Dev. Syst., June, 2024

Research progress survey on interactive evolutionary computation.
J. Ambient Intell. Humaniz. Comput., March, 2024

Tumor classification algorithm via parallel collaborative optimization of single- and multi-objective consistency on PET/CT.
Appl. Soft Comput., 2024

A comprehensive survey on interactive evolutionary computation in the first two decades of the 21st century.
Appl. Soft Comput., 2024

Adaptive Optimization in Evolutionary Reinforcement Learning Using Evolutionary Mutation Rates.
IEEE Access, 2024

Medical Image Recognition Using a Novel Neural Network Construction Controlled by a Kernel Method Encoder.
IEEE Access, 2024

A User-Guided Generation Framework for Personalized Music Synthesis Using Interactive Evolutionary Computation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolutionary Multi - Modal Optimization Using Persistence-Based Clustering in Riemannian Manifolds.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Spatiotemporal Water Quality Prediction Using Graph Neural Networks Based on Diffusion Decay Partial Differential Equations.
Proceedings of the 9th IEEE/ACIS International Conference on Big Data, 2024

2023
A comprehensive survey on design and application of autoencoder in deep learning.
Appl. Soft Comput., May, 2023

Spatial and Temporal Water Quality Data Prediction of Transboundary Watershed Using Multiview Neural Network Coupling.
IEEE Trans. Geosci. Remote. Sens., 2023

DDPM-SKDNet: A Deep Learning Method for ICG Image Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Data Analysis Method Using Orthogonal Transformation in a Reproducing Kernel Hilbert Space.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A comprehensive and brief survey on interactive evolutionary computation in sound and music composition for algorithmic auditory and acoustic design with human-in-the-loop.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Glucose Sensing Utilizing Complex-Valued Neural Networks.
Proceedings of the 2023 4th International Conference on Computing, 2023

2022
An unsupervised domain adaptation brain CT segmentation method across image modalities and diseases.
Expert Syst. Appl., November, 2022

An intelligent fault detection approach based on reinforcement learning system in wireless sensor network.
J. Supercomput., 2022

A review on machine learning techniques for the assessment of image grading in breast mammogram.
Int. J. Mach. Learn. Cybern., 2022

An adaptive high-voltage direct current detection algorithm using cognitive wavelet transform.
Inf. Process. Manag., 2022

A content awareness module for predictive lossless image compression to achieve high throughput data sharing over the network storage.
Int. J. Distributed Sens. Networks, 2022

Call for Special Issue Papers: Deep Learning Assisted Big Data Analytics for Biomedical Applications and Digital Healthcare: Deadline for Manuscript Submission: August 20, 2022.
Big Data, 2022

Chaotic Evolution Using Deterministic Crowding Method for Multi-modal Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Chaotic Evolution for Multimodal Optimization Based on Multi-rule Generation Strategy.
Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

An analysis on effectiveness of estimated convergence points for enhancement of multi-objective optimization algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A Multi-module 3D U-Net Learning Architecture for Brain Tumor Segmentation.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

A Dual-channel Attention Model for Optical Microscope Pollen Classification.
Proceedings of the 8th International Conference on Control, 2022

A multimodal sentiment recognition method based on attention mechanism.
Proceedings of the 5th Artificial Intelligence and Cloud Computing Conference, 2022

2021
Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network.
Vis. Comput., 2021

Classification and recognition of computed tomography images using image reconstruction and information fusion methods.
J. Supercomput., 2021

Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network.
Sensors, 2021

Association between alcohol consumption and telomere length.
Int. J. Web Grid Serv., 2021

A discharge detection method in high-voltage direct current system using wavelet transform with adaptive wavelet level decision.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

An analysis of optimization performance on chaotic evolution algorithm using multiple chaotic systems with elite strategy.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Enhancing multi-objective chaotic evolution algorithm using an estimated convergence point.
Proceedings of the 5th IEEE International Conference on Cybernetics, 2021

Breast Mass Detection and Classification Using Deep Convolutional Neural Networks for Radiologist Diagnosis Assistance.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Cooperative Chaotic Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
An Effective and Improved CNN-ELM Classifier for Handwritten Digits Recognition and Classification.
Symmetry, 2020

Diagnosis of large-for-gestational-age infants using a semi-supervised feature learned from expert and data.
Multim. Tools Appl., 2020

Automated identification of cataract severity using retinal fundus images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

A multi-label classification model for full slice brain computerised tomography image.
BMC Bioinform., 2020

Optimizing multicast routing tree on application layer via an encoding-free non-dominated sorting genetic algorithm.
Appl. Intell., 2020

An Automated Approach to Diagnose Turner Syndrome Using Ensemble Learning Methods.
IEEE Access, 2020

A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities.
IEEE Access, 2020

Diagnosis and Knowledge Discovery of Turner Syndrome Based on Facial Images Using Machine Learning Methods.
IEEE Access, 2020

Chaotic Evolution Algorithm with Elite Strategy in Single-objective and Multi-objective Optimization.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Automatic Classification of Turner Syndrome Using Unsupervised Feature Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Chaotic Evolution Algorithm with Multiple Chaotic Systems.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020

Multiple Instance Learning for Detection of Polyps in Computed Tomographic Colonography Images.
Proceedings of the 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2020

Characteristic analysis of auditory perception and aesthetics in sound composition optimization using revised interactive differential evolution.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Exploiting Ensemble Classification Schemes to Improve Prognosis Process for Large for Gestational Age Fetus Classification.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Hash Flow: An Access Control Mechanism for Software Defined Network.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2020

2019
Comparative Analysis of Vessel Segmentation Techniques in Retinal Images.
IEEE Access, 2019

Automatic Decision Making for Parameters in Kernel Method.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Cataract Detection and Grading with Retinal Images Using SOM-RBF Neural Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Optimization of Kernel Method-Based Autoencoder Using Chaotic Evolution Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Diagnosis of Large for Gestational Age Fetus with an Expert-Driven Feature Selection Scheme.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Study on Multi-objective Chaotic Evolution Algorithms Using Multiple Chaotic Systems.
Proceedings of the IEEE 10th International Conference on Awareness Science and Technology, 2019

Chaotic Evolution Algorithms Using Opposition-Based Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Competitive Strategies for Differential Evolution.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Kernel PLS Regression II: Kernel Partial Least Squares Regression by Projecting Both Independent and Dependent Variables into Reproducing Kernel Hilbert Space.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Study on Feature Extraction of Handwriting Data Using Kernel Method-Based Autoencoder.
Proceedings of the 9th International Conference on Awareness Science and Technology, 2018

2017
Principal component selection using interactive evolutionary computation.
J. Supercomput., 2017

Local fitness landscape from paired comparison-based memetic search in interactive differential evolution and differential evolution.
Int. J. Ad Hoc Ubiquitous Comput., 2017

Non-dominated Sorting and Crowding Distance Based Multi-objective Chaotic Evolution.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Autoencoder using kernel methoc.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
A cloud-based type-2 diabetes mellitus lifestyle self-management system.
Int. J. Web Grid Serv., 2016

Principal component selection of machine learning algorithms based on orthogonal transformation by using interactive evolutionary computation.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Data Compression with Linear Discriminant Analysis.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

Accelerating evolutionary computation using estimated convergence points.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Effectiveness of approximation strategy in surrogate-assisted fireworks algorithm.
Int. J. Mach. Learn. Cybern., 2015

Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection.
J. Inf. Process., 2015

Algorithmic Mechanism Design of Evolutionary Computation.
Comput. Intell. Neurosci., 2015

Strategies for determining effective step size of the backpropagation algorithm for on-line learning.
Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Linear Principal Component Discriminant Analysis.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Strategy Equilibrium of Evolutionary Computation: Towards Its Algorithmic Mechanism Design.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Error awareness by lower and upper bounds in ensemble learning.
Proceedings of the 11th International Conference on Natural Computation, 2015

Bounded learning for neural network ensembles.
Proceedings of the IEEE International Conference on Information and Automation, 2015

Local information of fitness landscape obtained by paired comparison-based memetic search for interactive differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Analytical estimation of the convergence point of populations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Chaotic Evolution: fusion of chaotic ergodicity and evolutionary iteration for optimization.
Nat. Comput., 2014

A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Study on the effect of learning parameters on decision boundary making algorithm.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Improving performance of decision boundary making with support vector machine based outlier detection.
Proceedings of the 2014 IEEE International Symposium on Independent Computing, 2014

From low negative correlation learning to high negative correlation learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Control of correlation in negative correlation learning.
Proceedings of the 10th International Conference on Natural Computation, 2014

Ensemble Learning with Correlation-Based Penalty.
Proceedings of the IEEE 12th International Conference on Dependable, 2014

2013
Accelerating IEC and EC searches with elite obtained by dimensionality reduction in regression spaces.
Evol. Intell., 2013

Fitness Landscape Approximation by Adaptive Support Vector Regression with Opposition-Based Learning.
Proceedings of the IEEE International Conference on Systems, 2013

A chaotic ergodicity based evolutionary computation algorithm.
Proceedings of the Ninth International Conference on Natural Computation, 2013

Triple and quadruple comparison-based interactive differential evolution and differential evolution.
Proceedings of the Foundations of Genetic Algorithms XII, 2013

2012
An empirical study on influence of approximation approaches on enhancing fireworks algorithm.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Comparative Study on Fitness Landscape Approximation with Fourier Transform.
Proceedings of the 2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012

Fourier analysis of the fitness landscape for evolutionary search acceleration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A survey on accelerating evolutionary computation approaches.
Proceedings of the Third International Conference of Soft Computing and Pattern Recognition, 2011

A novel traveling salesman problem solution by accelerated evolutionary computation with approximated cost matrix in an industrial application.
Proceedings of the Third International Conference of Soft Computing and Pattern Recognition, 2011

Comparative Evaluations of Evolutionary Computation with Elite Obtained in Reduced Dimensional Spaces.
Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems (INCoS), Fukuoka, Japan, November 30, 2011

Accelerating Evolutionary Computation with Elite Obtained in Projected One-Dimensional Spaces.
Proceedings of the Fifth International Conference on Genetic and Evolutionary Computing, 2011

2009
Application Research on Machine Learning and Statistical Forecasting Algorithm in Traffic Information Forecasting System.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009


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