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ORCIDYan Pei 0001
Person information
- affiliation: University of Aizu, Computer Science Division, Japan
- affiliation: Kyushu University, Fukuoka, Japan
- affiliation: Northeastern University, Shenyang, China
Other persons with the same name
- Yan Pei — disambiguation page
- Yan Pei 0002
![[0009-0009-1676-6725]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0009-1676-6725")
— Xi'an Jiaotong University, College of Marxism, China (and 1 more) - Yan Pei 0003 — Hanyang University, Graduate School of International Studies, Seoul, Korea
- Yan Pei 0004 — Zhejiang University, College of Biomedical Engineering and Instrument Science, China
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2020 – today
- 2024
[j35]Pengzhi Li, Yan Pei, Jianqiang Li, Haihua Xie:
Medical Image Recognition Using a Novel Neural Network Construction Controlled by a Kernel Method Encoder. IEEE Access 12: 146807-146817 (2024)- [j34]Yanan Wang, Yan Pei:
A comprehensive survey on interactive evolutionary computation in the first two decades of the 21st century. Appl. Soft Comput. 164: 111950 (2024) - [j33]Yang Zhou, Huiyan Jiang, Qiu Luan, Yaming Li, Xuena Li, Yan Pei:
Tumor classification algorithm via parallel collaborative optimization of single- and multi-objective consistency on PET/CT. Appl. Soft Comput. 166: 112245 (2024) - [j32]Yan Pei, Hideyuki Takagi:
Research progress survey on interactive evolutionary computation. J. Ambient Intell. Humaniz. Comput. 15(3): 1897-1910 (2024) - [j31]Yanan Wang, Yan Pei, Hayato Shindo, Qing Liu, Haipeng Ren:
An Interactive Differential Evolution Method With Human Auditory Perception for Sound Composition. IEEE Trans. Cogn. Dev. Syst. 16(3): 1134-1146 (2024) - [c62]Xiang Meng, Yan Pei, Hideyuki Takagi:
Evolutionary Multi - Modal Optimization Using Persistence-Based Clustering in Riemannian Manifolds. CEC 2024: 1-8 - [c61]Yanan Wang, Yan Pei, Zerui Ma, Jianqiang Li:
A User-Guided Generation Framework for Personalized Music Synthesis Using Interactive Evolutionary Computation. GECCO Companion 2024: 1762-1769 - 2023
- [j30]Pengzhi Li, Yan Pei, Jianqiang Li:
A comprehensive survey on design and application of autoencoder in deep learning. Appl. Soft Comput. 138: 110176 (2023) - [j29]Lei Jia, Neil Y. Yen, Yan Pei:
Spatial and Temporal Water Quality Data Prediction of Transboundary Watershed Using Multiview Neural Network Coupling. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [c60]Yiqi Lv, Xiang Meng, Yong Luo, Yan Pei:
Glucose Sensing Utilizing Complex-Valued Neural Networks. CNIOT 2023: 361-365 - [c59]Yan Pei:
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. GECCO Companion 2023: 1990-1996 - [c58]Lingxiao Qu, Yan Pei, Jianqiang Li:
A Data Analysis Method Using Orthogonal Transformation in a Reproducing Kernel Hilbert Space. SMC 2023: 887-892 - [c57]Yuhao Wang, Bo Liu, Bin Yang, Jianqiang Li, Yong Li, Yan Pei:
DDPM-SKDNet: A Deep Learning Method for ICG Image Classification. SMC 2023: 3204-3209 - 2022
- [j28]Gai-Ge Wang, Xiao Zhi Gao, Yan Pei:
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 10(1): 85-86 (2022) - [j27]Daqiang Dong, Guanghui Fu, Jianqiang Li, Yan Pei, Yueda Chen:
An unsupervised domain adaptation brain CT segmentation method across image modalities and diseases. Expert Syst. Appl. 207: 118016 (2022) - [j26]Asif Rajput, Jianqiang Li, Faheem Akhtar, Zahid Hussain Khand, Jason C. Hung, Yan Pei, Anko Börner:
A content awareness module for predictive lossless image compression to achieve high throughput data sharing over the network storage. Int. J. Distributed Sens. Networks 18(3): 155013292210831 (2022) - [j25]Yanan Wang, Jianqiang Li, Yan Pei, Zerui Ma, Yanhe Jia, Yu-Chih Wei:
An adaptive high-voltage direct current detection algorithm using cognitive wavelet transform. Inf. Process. Manag. 59(2): 102867 (2022) - [j24]Khalil ur Rehman, Jianqiang Li, Yan Pei, Anaa Yasin:
A review on machine learning techniques for the assessment of image grading in breast mammogram. Int. J. Mach. Learn. Cybern. 13(9): 2609-2635 (2022) - [j23]Tariq Mahmood, Jianqiang Li, Yan Pei, Faheem Akhtar, Suhail Ashfaq Butt, Allah Ditta, Sirajuddin Qureshi:
An intelligent fault detection approach based on reinforcement learning system in wireless sensor network. J. Supercomput. 78(3): 3646-3675 (2022) - [c56]Bo Liu, Jidong Zhang, Yuxiao Xu, Jianqiang Li, Yan Pei, Guangzhi Qu:
A multimodal sentiment recognition method based on attention mechanism. AICCC 2022: 213-220 - [c55]Yanan Li, Jianqiang Li, Yan Pei, Jin Wang:
A Dual-channel Attention Model for Optical Microscope Pollen Classification. CoDIT 2022: 1118-1123 - [c54]Saqib Ali, Jianqiang Li, Yan Pei, Khalil ur Rehman:
A Multi-module 3D U-Net Learning Architecture for Brain Tumor Segmentation. DMBD (2) 2022: 57-69 - [c53]Yuhei Yamaya, Yan Pei:
An analysis on effectiveness of estimated convergence points for enhancement of multi-objective optimization algorithms. GECCO Companion 2022: 371-374 - [c52]Jun Yu, Yan Pei:
Chaotic Evolution for Multimodal Optimization Based on Multi-rule Generation Strategy. SCIS/ISIS 2022: 1-6 - [c51]Xiang Meng, Yi Ding, Yan Pei:
Chaotic Evolution Using Deterministic Crowding Method for Multi-modal Optimization. SMC 2022: 815-820 - 2021
- [j22]Gai-Ge Wang, Xiaozhi Gao, Yan Pei:
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 9(6): 415-416 (2021) - [j21]Jianqiang Li, Yu Guan, Xi Xu, Yan Pei, Jason C. Hung, Weiliang Qiu:
Association between alcohol consumption and telomere length. Int. J. Web Grid Serv. 17(1): 36-59 (2021) - [j20]Khalil ur Rehman, Jianqiang Li, Yan Pei, Anaa Yasin, Saqib Ali, Tariq Mahmood:
Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network. Sensors 21(14): 4854 (2021) - [j19]Pengzhi Li, Jianqiang Li, Yueda Chen, Yan Pei, Guanghui Fu, Haihua Xie:
Classification and recognition of computed tomography images using image reconstruction and information fusion methods. J. Supercomput. 77(3): 2645-2666 (2021) - [j18]Azhar Imran, Jianqiang Li, Yan Pei, Faheem Akhtar, Tariq Mahmood, Li Zhang:
Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network. Vis. Comput. 37(8): 2407-2417 (2021) - [c50]Jun Yu, Zitong Wang, Yan Pei:
Cooperative Chaotic Evolution. CEC 2021: 1357-1364 - [c49]Tariq Mahmood, Jianqiang Li, Yan Pei, Faheem Akhtar, Yanhe Jia, Zahid Hussain Khand:
Breast Mass Detection and Classification Using Deep Convolutional Neural Networks for Radiologist Diagnosis Assistance. COMPSAC 2021: 1918-1923 - [c48]Fengkai Guo, Yan Pei:
Enhancing multi-objective chaotic evolution algorithm using an estimated convergence point. CYBCONF 2021: 1-6 - [c47]Tran Thi Thoa, Yan Pei:
An analysis of optimization performance on chaotic evolution algorithm using multiple chaotic systems with elite strategy. SMC 2021: 649-654 - [c46]Yanan Wang, Jianqiang Li, Yan Pei, Zerui Ma, Yanhe Jia, Yu-Chih Wei:
A discharge detection method in high-voltage direct current system using wavelet transform with adaptive wavelet level decision. SSCI 2021: 1-8 - 2020
- [j17]Tariq Mahmood, Jianqiang Li, Yan Pei, Faheem Akhtar, Azhar Imran, Khalil ur Rehman:
A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities. IEEE Access 8: 165779-165809 (2020) - [j16]Jianqiang Li, Lu Liu, Jingchao Sun, Yan Pei, Ji-Jiang Yang, Hui Pan, Shi Chen, Qing Wang:
Diagnosis and Knowledge Discovery of Turner Syndrome Based on Facial Images Using Machine Learning Methods. IEEE Access 8: 214866-214881 (2020) - [j15]Qing Zhao, Guohong Yao, Faheem Akhtar, Jianqiang Li, Yan Pei:
An Automated Approach to Diagnose Turner Syndrome Using Ensemble Learning Methods. IEEE Access 8: 223335-223345 (2020) - [j14]Qing Liu, Rongjun Tang, Haipeng Ren, Yan Pei:
Optimizing multicast routing tree on application layer via an encoding-free non-dominated sorting genetic algorithm. Appl. Intell. 50(3): 759-777 (2020) - [j13]Jianqiang Li, Guanghui Fu, Yueda Chen, Pengzhi Li, Bo Liu, Yan Pei, Hui Feng:
A multi-label classification model for full slice brain computerised tomography image. BMC Bioinform. 21-S(6): 200 (2020) - [j12]Azhar Imran, Jianqiang Li, Yan Pei, Faheem Akhtar, Ji-Jiang Yang, Yanping Dang:
Automated identification of cataract severity using retinal fundus images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(6): 691-698 (2020) - [j11]Faheem Akhtar, Jianqiang Li, Yan Pei, Azhar Imran, Asif Rajput, Muhammad Azeem, Bo Liu:
Diagnosis of large-for-gestational-age infants using a semi-supervised feature learned from expert and data. Multim. Tools Appl. 79(45-46): 34047-34077 (2020) - [j10]Saqib Ali, Jianqiang Li, Yan Pei, Muhammad Saqlain Aslam, Zeeshan Shaukat, Muhammad Azeem:
An Effective and Improved CNN-ELM Classifier for Handwritten Digits Recognition and Classification. Symmetry 12(10): 1742 (2020) - [c45]Shih-Hao Chang, Yan Pei, Ping-Tsai Chung:
Hash Flow: An Access Control Mechanism for Software Defined Network. AINA Workshops 2020: 554-565 - [c44]Faheem Akhtar, Jianqiang Li, Yan Pei, Azhar Imran, Gul Muhammad Shaikh, Chun Xu:
Exploiting Ensemble Classification Schemes to Improve Prognosis Process for Large for Gestational Age Fetus Classification. COMPSAC 2020: 1455-1459 - [c43]Hayato Shindo, Yan Pei:
Characteristic analysis of auditory perception and aesthetics in sound composition optimization using revised interactive differential evolution. GECCO Companion 2020: 1554-1561 - [c42]Yunshen Xie, Jianqiang Li, Yan Pei:
Multiple Instance Learning for Detection of Polyps in Computed Tomographic Colonography Images. ICT4AWE 2020: 236-240 - [c41]Tran Thi Thoa, Yan Pei:
Chaotic Evolution Algorithm with Multiple Chaotic Systems. SICE 2020: 814-819 - [c40]Yan Pei:
Chaotic Evolution Algorithm with Elite Strategy in Single-objective and Multi-objective Optimization. SMC 2020: 579-584 - [c39]Lu Liu, Jingchao Sun, Jianqiang Li, Yan Pei:
Automatic Classification of Turner Syndrome Using Unsupervised Feature Learning. SMC 2020: 1578-1583
2010 – 2019
- 2019
- [j9]Azhar Imran, Jianqiang Li, Yan Pei, Ji-Jiang Yang, Qing Wang:
Comparative Analysis of Vessel Segmentation Techniques in Retinal Images. IEEE Access 7: 114862-114887 (2019) - [c38]Tianshui Li, Yan Pei:
Chaotic Evolution Algorithms Using Opposition-Based Learning. CEC 2019: 3292-3299 - [c37]Zitong Wang, Yan Pei:
A Study on Multi-objective Chaotic Evolution Algorithms Using Multiple Chaotic Systems. iCAST 2019: 1-6 - [c36]Azhar Imran, Jianqiang Li, Yan Pei, Faheem Akhtar, Ji-Jiang Yang, Qing Wang:
Cataract Detection and Grading with Retinal Images Using SOM-RBF Neural Network. SSCI 2019: 2626-2632 - [c35]Van Quan Dang, Yan Pei, Lei Jing, Jianqiang Li:
Optimization of Kernel Method-Based Autoencoder Using Chaotic Evolution Algorithm. SSCI 2019: 3025-3032 - [c34]Faheem Akhtar, Jianqiang Li, Yan Pei, Bo Liu, Muhammad Azeem, Qing Wang, Ji-Jiang Yang:
Diagnosis of Large for Gestational Age Fetus with an Expert-Driven Feature Selection Scheme. SSCI 2019: 3152-3157 - [c33]Yan Pei:
Automatic Decision Making for Parameters in Kernel Method. SSCI 2019: 3207-3214 - 2018
- [c32]Van Quan Dang, Yan Pei:
A Study on Feature Extraction of Handwriting Data Using Kernel Method-Based Autoencoder. iCAST 2018: 1-6 - [c31]Jun Yu, Yan Pei, Hideyuki Takagi:
Competitive Strategies for Differential Evolution. SMC 2018: 268-273 - [c30]Yan Pei:
Kernel PLS Regression II: Kernel Partial Least Squares Regression by Projecting Both Independent and Dependent Variables into Reproducing Kernel Hilbert Space. SMC 2018: 2031-2036 - 2017
- [j8]Yan Pei, Hideyuki Takagi:
Local fitness landscape from paired comparison-based memetic search in interactive differential evolution and differential evolution. Int. J. Ad Hoc Ubiquitous Comput. 25(1/2): 17-30 (2017) - [j7]Yan Pei:
Principal component selection using interactive evolutionary computation. J. Supercomput. 73(7): 3002-3020 (2017) - [c29]Yan Pei:
Autoencoder using kernel methoc. SMC 2017: 322-327 - [c28]Yan Pei, Jia Hao:
Non-dominated Sorting and Crowding Distance Based Multi-objective Chaotic Evolution. ICSI (2) 2017: 15-22 - 2016
- [j6]Shih-Hao Chang, Yi-Cheng Chen, Yan Pei, Chih-Ning Li:
A cloud-based type-2 diabetes mellitus lifestyle self-management system. Int. J. Web Grid Serv. 12(3): 240-256 (2016) - [c27]Jun Yu, Yan Pei, Hideyuki Takagi:
Accelerating evolutionary computation using estimated convergence points. CEC 2016: 1438-1444 - [c26]Yan Pei:
Data Compression with Linear Discriminant Analysis. SCIS&ISIS 2016: 136-141 - [c25]Yan Pei:
Principal component selection of machine learning algorithms based on orthogonal transformation by using interactive evolutionary computation. SMC 2016: 308-313 - 2015
- [j5]Yan Pei:
Algorithmic Mechanism Design of Evolutionary Computation. Comput. Intell. Neurosci. 2015: 591954:1-591954:17 (2015) - [j4]Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu:
Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection. J. Inf. Process. 23(4): 497-504 (2015) - [j3]Yan Pei, Shaoqiu Zheng, Ying Tan, Hideyuki Takagi:
Effectiveness of approximation strategy in surrogate-assisted fireworks algorithm. Int. J. Mach. Learn. Cybern. 6(5): 795-810 (2015) - [c24]Yan Pei, Hideyuki Takagi:
Local information of fitness landscape obtained by paired comparison-based memetic search for interactive differential evolution. CEC 2015: 2215-2221 - [c23]Noboru Murata, Ryuei Nishii, Hideyuki Takagi, Yan Pei:
Analytical estimation of the convergence point of populations. CEC 2015: 2619-2624 - [c22]Yong Liu, Qiangfu Zhao, Yan Pei:
Bounded learning for neural network ensembles. ICIA 2015: 1216-1221 - [c21]Yong Liu, Qiangfu Zhao, Yan Pei:
Error awareness by lower and upper bounds in ensemble learning. ICNC 2015: 14-18 - [c20]Yan Pei:
Strategy Equilibrium of Evolutionary Computation: Towards Its Algorithmic Mechanism Design. SMC 2015: 2102-2107 - [c19]Yan Pei:
Linear Principal Component Discriminant Analysis. SMC 2015: 2108-2113 - [c18]Yuya Kaneda, Qiangfu Zhao, Yong Liu, Yan Pei:
Strategies for determining effective step size of the backpropagation algorithm for on-line learning. SoCPaR 2015: 155-160 - 2014
- [j2]Yan Pei:
Chaotic Evolution: fusion of chaotic ergodicity and evolutionary iteration for optimization. Nat. Comput. 13(1): 79-96 (2014) - [c17]Yong Liu, Qiangfu Zhao, Yan Pei:
Ensemble Learning with Correlation-Based Penalty. DASC 2014: 350-353 - [c16]Yong Liu, Qiangfu Zhao, Yan Pei:
Control of correlation in negative correlation learning. ICNC 2014: 7-11 - [c15]Yong Liu, Qiangfu Zhao, Yan Pei:
From low negative correlation learning to high negative correlation learning. IJCNN 2014: 171-174 - [c14]Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu:
Improving performance of decision boundary making with support vector machine based outlier detection. ISIC 2014: 32-37 - [c13]Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu:
Study on the effect of learning parameters on decision boundary making algorithm. SMC 2014: 705-710 - [c12]Yan Pei, Hideyuki Takagi, Qiangfu Zhao, Yong Liu:
A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution. SMC 2014: 3481-3486 - 2013
- [j1]Yan Pei, Hideyuki Takagi:
Accelerating IEC and EC searches with elite obtained by dimensionality reduction in regression spaces. Evol. Intell. 6(1): 27-40 (2013) - [c11]Yan Pei, Hideyuki Takagi:
Triple and quadruple comparison-based interactive differential evolution and differential evolution. FOGA 2013: 173-182 - [c10]Yan Pei:
A chaotic ergodicity based evolutionary computation algorithm. ICNC 2013: 454-459 - [c9]Yan Pei, Hideyuki Takagi:
Fitness Landscape Approximation by Adaptive Support Vector Regression with Opposition-Based Learning. SMC 2013: 1329-1334 - 2012
- [c8]Yan Pei, Hideyuki Takagi:
Fourier analysis of the fitness landscape for evolutionary search acceleration. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c7]Yan Pei, Hideyuki Takagi:
Comparative Study on Fitness Landscape Approximation with Fourier Transform. ICGEC 2012: 400-403 - [c6]Yan Pei, Shaoqiu Zheng, Ying Tan, Hideyuki Takagi:
An empirical study on influence of approximation approaches on enhancing fireworks algorithm. SMC 2012: 1322-1327 - 2011
- [c5]Yan Pei, Hideyuki Takagi:
Accelerating Evolutionary Computation with Elite Obtained in Projected One-Dimensional Spaces. ICGEC 2011: 89-92 - [c4]Yan Pei, Hideyuki Takagi:
Comparative Evaluations of Evolutionary Computation with Elite Obtained in Reduced Dimensional Spaces. INCoS 2011: 35-40 - [c3]Yan Pei, Hideyuki Takagi:
A novel traveling salesman problem solution by accelerated evolutionary computation with approximated cost matrix in an industrial application. SoCPaR 2011: 39-44 - [c2]Yan Pei, Hideyuki Takagi:
A survey on accelerating evolutionary computation approaches. SoCPaR 2011: 201-206
2000 – 2009
- 2009
- [c1]Yan Pei, Guang-Ming Yang:
Application Research on Machine Learning and Statistical Forecasting Algorithm in Traffic Information Forecasting System. HIS (2) 2009: 431-436
Coauthor Index
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