{"id":147,"date":"2023-09-21T17:14:56","date_gmt":"2023-09-21T09:14:56","guid":{"rendered":"http:\/\/120.48.36.71\/?p=147"},"modified":"2025-11-15T22:24:07","modified_gmt":"2025-11-15T14:24:07","slug":"147","status":"publish","type":"post","link":"http:\/\/puyifei.cn\/?p=147","title":{"rendered":"\u84b2\u4ea6\u975e\u53d1\u8868\u7684\u90e8\u5206\u5b66\u672f\u8bba\u6587"},"content":{"rendered":"\r\n<h2 class=\"wp-block-heading has-text-align-center\">\u84b2\u4ea6\u975e\u7684\u535a\u58eb\u5b66\u4f4d\u8bba\u6587<\/h2>\r\n\r\n\r\n\r\n<ol>\r\n<li class=\"has-medium-font-size\"><strong>\u84b2\u4ea6\u975e<\/strong>.\u300a\u5206\u6570\u9636\u5fae\u79ef\u5206\u5728\u73b0\u4ee3\u4fe1\u53f7\u5206\u6790\u4e0e\u5904\u7406\u4e2d\u5e94\u7528\u7684\u7814\u7a76\u300b\uff0c\u535a\u58eb\u5b66\u4f4d\u8bba\u6587\uff0c\u56db\u5ddd\u5927\u5b66\uff0c2006.6\uff08Yi-Fei PU.\u201cResearch on Application of Fractional Calculus to Latest Signal Analysis and Processing. \u201d Ph.D. Thesis, School of Electronic Information, Sichuan University, China, 2006. \u4f5c\u4e3a<strong>\u7b2c\u4e00\u7bc7<\/strong>\u7cfb\u7edf\u8bba\u8ff0\u5206\u6570\u9636\u5fae\u79ef\u5206\u5728\u73b0\u4ee3\u4fe1\u53f7\u5206\u6790\u4e0e\u5904\u7406\u4e2d\u5e94\u7528\u7684\u535a\u58eb\u5b66\u4f4d\u8bba\u6587\uff0c<strong>\u5165\u9009 2007 \u5e74\u56db\u5ddd\u7701\u4f18\u79c0\u535a\u58eb\u5b66\u4f4d\u8bba\u6587<\/strong>\uff082007 \u5e74\u56db\u5ddd\u7701\u7406\u3001\u5de5\u3001\u519c\u3001\u533b\u3001\u6587\u6240\u6709\u5b66\u79d1 2900 \u591a\u7bc7\u535a\u58eb\u5b66\u4f4d\u8bba\u6587\u4e2d\uff0c<strong>\u5171\u8bc4\u9009\u51fa 39 \u7bc7\u7701\u4f18\u79c0\u535a\u58eb\u5b66\u4f4d\u8bba\u6587<\/strong>\uff09\u3002<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n\r\n\r\n<h2 class=\"wp-block-heading has-text-align-center\">\u7b2c\u4e00\u4f5c\u8005\u53d1\u8868\u7684SCI\u68c0\u7d22\u7684\u90e8\u5206\u671f\u520a\u8bba\u6587<\/h2>\r\n\r\n\r\n\r\n<ol>\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Bo YU, Qiu-Yan HE, and Xiao YUAN. \u201cFracmemristor Oscillator: Fractional-Order Memristive Chaotic Circuit,\u201d <strong>IEEE Transactions on Circuits and Systems I: Regular Papers<\/strong>, vol. 69, no. 12, pp. 5219 \u2013 5232, 2022. \uff08SCI IF: 4.14\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/9874382<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Patrick SIARRY, Wu-Yang ZHU, Jian WANG, and Ni ZHANG. \u201cFractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach,\u201d <strong>Swarm and Evolutionary Computation<\/strong>, vol. 69, Article ID 101014, 18 pages, 2022. \uff08SCI IF: 10.267\uff09Available: https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S2210650221001760?dgcid=author<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xuetao Xie, Jinde Cao, Hua Chen, Kai Zhang, and Jian Wang. \u201cAn Input Weights Dependent Complex-Valued Learning Algorithm Based on Wirtinger Calculus,\u201d <strong>IEEE Transactions on Systems, Man, and Cybernetics: Systems<\/strong>, vol. 52, no. 5, pp. 2920 \u2013 2932, 2022. \uff08SCI IF: 11.471\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Bo YU, and Xiao YUAN. \u201cLadder Scaling Fracmemristor: A Second Emerging Circuit Structure of Fractional-Order Memristor,\u201d <strong>IEEE Design &amp; Test<\/strong>, vol. 38, no. 3, pp. 104-111, 2021. \uff08SCI IF: 3.022\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/9154741<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Bo YU, Qiu-Yan HE, and Xiao YUAN. \u201cFractional-Order Memristive Neural Synaptic Weighting Achieved by Pulse-Based Fracmemristor Bridge Circuit,\u201d Frontiers of Information Technology &amp; Electronic Engineering (\u4e2d\u56fd\u5de5\u7a0b\u9662\u9662\u520a-\u4fe1\u606f\u4e0e\u7535\u5b50\u5de5\u7a0b\u524d\u6cbf\uff08\u82f1\u6587\u7248\uff09), vol. 22, no. 6, pp. 862-876, 2021. \uff08SCI IF: 2.526\uff09Available: https:\/\/link.springer.com\/article\/10.1631\/FITEE.2000085<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Hua-Qing ZHANG<sup>1<\/sup>, <strong>Yi-Fei PU<\/strong><sup>1<\/sup>, Xue-Tao XIE, Bing-Ran ZHANG, Jian WANG, Ting-Wen HUANG, \u201cA Global Neural Network Learning Machine: Coupled Integer and Fractional Calculus Operator with An Adaptive Learning Scheme\u201d, <strong>Neurel Networks<\/strong>, vol. 143, pp. 386-399, 2021. \uff08SCI IF: 9.657, \u5e76\u5217\u7b2c1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ni ZHANG, and Huai WANG. \u201cFractional-Order Memristive Predictor: Arbitrary-Order String Scaling Fracmemristor Based Prediction Model of Trading Price of Future,\u201d <strong>IEEE Intelligent Systems<\/strong>, vol. 35, no. 2, pp. 65-77, 2020. \uff08SCI IF: 6.744\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/9000736<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, and Jian WANG. \u201cFractional-Order Global Optimal BackPropagation Machine Trained by Improved Fractional-Order Steepest Descent Method,\u201d Frontiers of Information Technology &amp; Electronic Engineering (\u4e2d\u56fd\u5de5\u7a0b\u9662\u9662\u520a-\u4fe1\u606f\u4e0e\u7535\u5b50\u5de5\u7a0b\u524d\u6cbf\uff08\u82f1\u6587\u7248\uff09), vol. 21, no. 6, pp. 809-833, 2020. \uff08SCI IF: 2.526\uff09Available: http:\/\/www.jzus.zju.edu.cn\/article.php?doi=10.1631\/FITEE.1900593<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, and Bo YU. \u201cA Large Dynamic Range Floating Memristor Emulator with Equal Port Current Restriction,\u201d <strong>IEEE\/CAA Journal of Automatica Sinica<\/strong>, vol. 7, no. 1, pp. 237-243, 2020. (SCI IF: 7.847) Available: https:\/\/ieeexplore.ieee.org\/document\/8945494<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ni ZHANG, and Huai WANG. \u201cFractional-Order Spatial Steganography and Blind Steganalysis for Printed Matter: Anti-Counterfeiting for Product External Packing in Internet-of-Things,\u201d <strong>IEEE Internet of Things Journal<\/strong>, vol. 6, no. 4, pp. 6368-6383, 2019. \uff08SCI IF: 10.238\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/8576542<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ni ZHANG, Zheng-Ning WANG, Jian WANG, Zhang YI, Yan WANG, and Ji-Liu ZHOU. \u201cFractional-Order Retinex for Adaptive Contrast Enhancement of Under-Exposed Traffic Images,\u201d <strong>IEEE Intelligent Transportation Systems Magazine<\/strong>, vol. 13, no. 1, pp. 149-159, Feb. 2021. \uff08SCI IF: 5.293\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/8637169<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN and Bo YU. \u201cAnalog Circuit Implementation of Fractional-Order Memristor: Arbitrary-Order Lattice Scaling Fracmemristor,\u201d<strong> IEEE Transactions on Circuits and Systems I: Regular Papers<\/strong>, vol. 65, no. 9, pp. 2903-2916, Sept. 2018. \uff08SCI IF: 4.14\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/8263247\/citations?tabFilter=papers#citations<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Patrick SIARRY, Amitava CHATTERJEE, Zheng-Ning WANG, Yi-Guang LIU, Ji-Liu ZHOU, and Yan WANG. \u201cA Fractional-Order Variational Framework for Retinex: Fractional-Order Partial Differential Equation Based Formulation for Multi-scale Nonlocal Contrast Enhancement with Texture Preserving,\u201d <strong>IEEE Transactions on Image Processing<\/strong>, vol. 27, no. 3, pp. 1214-1229, 2018. \uff08SCI IF: 11.041\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/8126833<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Zhang YI, and Ji-Liu ZHOU. \u201cDefense against Chip Cloning Attacks Based on Fractional Hopfield Neural Networks,\u201d <strong>International Journal of Neural Systems<\/strong>, vol. 27, no. 4, Article ID 1750003, 28 pages, 2017. \uff08SCI IF: 6.4\uff09Available: https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065717500034<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Zhang YI, and Ji-Liu ZHOU. \u201cFractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks,\u201d <strong>IEEE Transactions on Neural Networks and Learning Systems<\/strong>, vol. 28, no. 10, pp. 2319-2333, 2017. \uff08SCI IF: 14.255\uff09Available: https:\/\/ieeexplore.ieee.org\/abstract\/document\/7513418<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>. \u201cFractional-Order Euler-Lagrange Equation for Fractional-Order Variational Method: A Necessary Condition for Fractional-Order Fixed Boundary Optimization Problems in Signal Processing and Image Processing,\u201d IEEE Access, vol. 4, pp. 10110-10135, 2016. \uff08SCI IF: 4.098\uff09Available: https:\/\/ieeexplore.ieee.org\/abstract\/document\/7776746<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>. \u201cAnalog Circuit Realization of Arbitrary-Order Fractional Hopfield Neural Networks: A Novel Application of Fractor to Defense against Chip Cloning Attacks,\u201d IEEE Access, vol. 4, pp. 5417-5435, 2016. \uff08SCI IF: 4.098\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/7560671<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>. \u201cMeasurement Units and Physical Dimensions of Fractance-Part I: Position of Purely Ideal Fractor in Chua\u2019s Axiomatic Circuit Element System and Fractional-Order Reactance of Fractor in Its Natural Implementation,\u201d IEEE Access, vol. 4, pp. 3379-3397, 2016. \uff08SCI IF: 4.098\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/7501553\/citations?tabFilter=papers#citations<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>. \u201cMeasurement Units and Physical Dimensions of Fractance-Part II: Fractional-Order Measurement Units and Physical Dimensions of Fractance and Rules for Fractors in Series and Parallel,\u201d IEEE Access, vol. 4, pp. 3398-3416, 2016. \uff08SCI IF: 4.098\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/7501493<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, and Xiao YUAN. \u201cFracmemristor: Fractional-Order Memristor,\u201d IEEE Access, vol. 4, pp. 1872-1888, 2016.\uff08SCI IF: 4.098\uff09Available: https:\/\/ieeexplore.ieee.org\/abstract\/document\/7458153<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, ZHANG Yi, Ni ZHANG, Guo HUANG, and Patrick Siarry. \u201cFractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach,\u201d <strong>IEEE Transactions on Neural Networks and Learning Systems<\/strong>, vol.26, no.4, pp. 653-662, 2015. \uff08SCI IF: 14.255\uff09Available: https:\/\/ieeexplore.ieee.org\/abstract\/document\/6650068<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Patrick SIARRY, Ji-Liu ZHOU, Yi-Guang LIU, Ni ZHANG, Guo HUANG, and Yi-Zhi LIU. \u201cFractional Partial Differential Equation Denoising Models for Texture Image,\u201d<strong> Science China Information Sciences (\u4e2d\u56fd\u79d1\u5b66\uff1a\u4fe1\u606f\u79d1\u5b66\uff08\u82f1\u6587\u7248\uff09)<\/strong>, vol. 57, no. 7, pp. 1-19, 2014.\uff08SCI IF: 3.304\uff09Available: https:\/\/link.springer.com\/article\/10.1007\/s11432-014-5112-x<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, and Xiao YUAN. \u201cFractional Differential Mask: A Fractional Differential Based Approach for Multi-scale Texture Enhancement,\u201d <strong>IEEE Transactions on Image Processing<\/strong>, vol.19, no.2, pp. 491-511, 2010. \uff08SCI IF: 11.041\uff0c<strong>\u5165\u9009\u5168\u7403\u524d1% ESI\u9ad8\u88ab\u5f15\u8bba\u6587<\/strong>\uff09Available: https:\/\/ieeexplore.ieee.org\/document\/5340520\/citations?tabFilter=papers#citations<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Wei-Xing WANG, Ji-Liu ZHOU, Yi-Yang WANG, and Hua-Ding JIA. \u201cFractional Differential Approach to Detecting Textural Features of Digital Image and Its Fractional Differential Filter Implementation,\u201d <strong>Science in China Series F: Information Sciences (\u4e2d\u56fd\u79d1\u5b66\uff1a\u4fe1\u606f\u79d1\u5b66\uff08\u82f1\u6587\u7248\uff09)<\/strong>, vol. 51, No. 9, pp. 1319-1339, 2008.\uff08SCI IF: 3.304\uff0c<strong>\u5165\u9009SCIENCE CHINA Information Science 2018\u5e74\u5341\u5e74\u6301\u7eed\u5f71\u54cd\u529b\u8bba\u6587\u5956<\/strong>\uff09Available: https:\/\/link.springer.com\/article\/10.1007\/s11432-008-0098-x<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ni ZHANG, Huai WANG, Shu-Shu CHEN, Xiao YUAN, and Li SHU. \u201cOrder-Frequency Characteristics of a Promising Circuit Element: Fractor,\u201d Journal of Circuits Systems and Computers, vol. 25, no. 12, Article ID 1650156, 17 pages, 2016. \uff08SCI IF: 0.939\uff09Available: https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218126616501565<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ni ZHANG, Yi ZHANG, and Ji-Liu ZHOU. \u201cA Texture Image Denoising Approach Based on Fractional Developmental Mathematics,\u201d Pattern Analysis and Applications, vol.19, no.2, pp. 427-445, 2016. \uff08SCI IF: 1.41\uff09Available: https:\/\/link.springer.com\/article\/10.1007\/s10044-015-0477-z?sa_campaign=email\/event\/articleAuthor\/<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Patrick Siarry, Ji-Liu ZHOU, and Ni ZHANG. \u201cA Fractional Partial Differential Equation Based Multi-Scale Denoising Model for Texture Image,\u201d Mathematical Methods in the Applied Sciences, vol. 37, no. 12, pp. 1784-1806, 2014. \uff08SCI IF: 1.533\uff09Available: https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/mma.2935<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, Patrick Siarry, Ni ZHANG, and Yi-Guang LIU. \u201cFractional Partial Differential Equation: Fractional Total Variation and Fractional Steepest Descent Approach Based Multi-Scale Denoising Model for Texture Image,\u201d Abstract and Applied Analysis, vol.2013, Article ID 483791, 19 pages, 2013.\uff08SCI IF: 1.318\uff09Available: https:\/\/www.hindawi.com\/journals\/aaa\/2013\/483791\/<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201cA Novel Approach for Multi-scale Texture Segmentation Based on Fractional Differential,\u201d International Journal of Computer Mathematics, vol. 88, no.1, pp. 58-78, 2011. \uff08SCI IF: 1.196\uff09Available: https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/00207160903134263<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n\r\n\r\n<h2 class=\"wp-block-heading has-text-align-center\">\u975e\u7b2c\u4e00\u4f5c\u8005\/\u901a\u4fe1\u4f5c\u8005\u53d1\u8868\u7684SCI\u68c0\u7d22\u7684\u90e8\u5206\u671f\u520a\u8bba\u6587<\/h2>\r\n\r\n\r\n\r\n<ol>\r\n<li class=\"has-medium-font-size\">Zhiqiang WAN, <strong>Yi-Fei PU<\/strong>*, and Qiang LAI. \u201cMultiscroll hidden attractor in memristive autapse neuron model and its memristor-based scroll control and application in image encryption,\u201d <strong>Neural Networks<\/strong>, vol. 188, Article ID 107473, 2025. \uff08SCI IF: 6.418, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Zhiqiang WAN, <strong>Yi-Fei PU<\/strong>*, Minghong QIN, and Qiang LAI. \u201cRobust full-parameter control method: Constructing multiscroll HNN via memristor,\u201d <strong>Neural Networks<\/strong>, vol. 192, Article ID 107878, 2025. \uff08SCI IF: 6.418, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Xuetao XIE, <strong>Yi-Fei PU<\/strong>, and Jian WANG. \u201cA Fractional Momentum Enhanced Fractional Filter for the Memristor-Based Volume Controller,\u201d <strong>IEEE Transactions on Circuits and Systems\u2014II: Express Briefs<\/strong>, vol. 72, no. 9, pp. 1333-1337, 2025. \uff08SCI IF: 4.9\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Zhenjiang LIU, and<strong> Yi-Fei PU<\/strong>*. \u201cSynchronization analysis of fuzzy inertial neural networks with time-varying delays via non-reduced order method,\u201d International Journal of Adaptive Control and Signal Processing, vol. 38, no. 9, pp.3040\u20133058, 2024. \uff08SCI IF: 3.9, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Zhenjiang LIU, <strong>Yi-Fei PU*<\/strong>, Xiyao HUA, and Xingxing YOU. \u201cRobust fixed-time synchroniza\u0002tion of fuzzy-shunting inhibitory cellular neural networks with feedback and adaptive control,\u201d International Journal of Adaptive Control and Signal Processing, vol. 38, no. 7, pp.2320\u20132339, 2024. \uff08SCI IF: 3.9, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Ni ZHANG, Wu-Yang ZHU, Peng JIN, Guo HUANG, and <strong>Yi-Fei PU<\/strong>*. \u201cFractional Fuzzy Neural System: Fractional Differential-Based Compensation Prediction for Reputation Infringement Cases,\u201d <strong>Fractal and Fractional<\/strong>, vol. 8, no. 9, Article ID 549, 2024. \uff08SCI IF: 3.6, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Li WANG, Zhenling YANG, <strong>Yi-Fei PU<\/strong>*, Hao YIN and Xuexia REN. \u201cAn Efficient Multi-Scale Wavelet Approach for Dehazing and Denoising Ultrasound Images Using Fractional-Order Filtering,\u201d <strong>Fractal and Fractional<\/strong>, vol. 8, no. 9, Article ID 549, 2024. \uff08SCI IF: 3.6, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Li WANG, Jinkai LI, <strong>Yi-Fei PU<\/strong>*, Hao YIN and Paul LIU. \u201cDGGNets: Deep Gradient-Guidance Networks for Speckle Noise Reduction,\u201d <strong>Fractal and Fractional<\/strong>, vol. 8, no. 11, Article ID 666, 2024. \uff08SCI IF: 3.6, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Rui-Xiao HUANG, and<strong> Yi-Fei PU<\/strong>*. \u201cA Novel Fractional Model and Its Application in Network Security Situation Assessment,\u201d <strong>Fractal and Fractional<\/strong>, vol. 8, no. 10, Article ID 550, 2024 \uff08SCI IF: 3.6, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Sun-Fu TAN, and<strong> Yi-Fei PU<\/strong>*. \u201cSelf-Organizing Optimization Based on Caputo\u2019s Fractional Order Gradients,\u201d <strong>Fractal and Fractional<\/strong>, vol. 8, no. 8, Article ID 451, 2024. \uff08SCI IF: 3.6, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Li WANG, <strong>Yi-Fei PU<\/strong>*, Paul LIU and Yin HAO. \u201cMultiscale hybrid method for speckle reduction of medical ultrasound images,\u201d Multimedia Tools and Applications, vol. 83, pp. 55219\u201355234, 2024. \uff08SCI IF: 3, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Bo YU, <strong>Yi-Fei PU<\/strong>, Qiu-Yan HE and Xiao YUAN . \u201cImplementation of Chain-Scaling Fractional-Order Memristors Using a Simple Circuit,\u201d Circuits, Systems, and Signal Processing, vol. 43, pp. 6773\u20136787, 2024. \uff08SCI IF: 1.8\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Bo YU, <strong>Yi-Fei PU<\/strong>*, Qiu-Yan HE and Xiao YUAN . \u201cSimple Circuit Implementation of String Scaling Fractional-order Memristor with Fixed Valid Frequency Range,\u201d <strong>Nonlinear Dynamics<\/strong>, vol. 112, pp. 10391\u201310415, 2024. \uff08SCI IF: 5.2\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Xuetao XIE, <strong>Yi-Fei PU<\/strong>*, Huaqing ZHANG, Jacek MANDZIUK, El-Sayed M. El-Alfy, and Jian WANG. An Interpretable Neural Network for Robustly Determining the Location and Number of Cluster Centers. International Journal of Machine Learning and Cybernetics, vol. 15, pp. 1473\u20131501, 2024.\uff08SCI IF: 5.6, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Kai-Li YIN, Hao-Ran ZHAO, <strong>Yi-Fei PU<\/strong>, and lu LU. \u201cNonlinear Active Noise Control with Tap-Decomposed Robust Volterra Filter,\u201d <strong>Mechannical Systems and Signal Processing<\/strong>, vol. 206, Article ID 110887, 2024. \uff08SCI IF: 8.40\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Kai-Li YIN, Hao-Ran ZHAO, <strong>Yi-Fei PU<\/strong>, and lu LU. \u201cNonlinear acoustic echo cancellation based on pipelined Hermite filters\u00a0,\u201d Signal Processing, vol. 220, Article ID 109470, 2024. \uff08SCI IF: 3.4\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Sun-Fu Tan, and<strong> Yi-Fei PU<\/strong>*. \u201cFrac-Vector: Better Category Representation,\u201d <strong>Fractal and Fractional<\/strong>, vol. 7, no. 2, Article ID 132, 2023. \uff08SCI IF: 3.6, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Rui-Xiao Huang, Xiao-Feng FU and<strong> Yi-Fei PU<\/strong>*. \u201cA Novel Fractional Accumulative Grey Model With GA-PSO Optimizer And Its Applications,\u201d Sensors, vol. 23, no. 2, Article ID 636, 2023 \uff08SCI IF: 3.4, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Xin-Yu LIU, and<strong> Yi-Fei PU<\/strong>*. \u201cImage Edge Detection Based on Fractional-Order Ant Colony Algorithm,\u201d <strong>Fractal and Fractional<\/strong>, vol. 7, no. 6, Article ID 420, 2023. \uff08SCI IF: 3.6, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Wen PAN, Wei-Hua ZHANG, <strong>Yi-Fei PU<\/strong>. \u201cFractional-Order Multiscale Attention Feature Pyramid Network for Time Series Classification,\u201d Applied Intelligence, vol. 53, no. 7, pp. 8160-8179, 2023. \uff08SCI IF: 5.019\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Zheng-Yan LUO, Ji-Liu ZHOU, <strong>Yi-Fei PU<\/strong>, Lei LI. \u201cA Class of Augmented Complex-Value FLANN Adaptive Algorithms for Nonlinear Systems,\u201d Neurocomputing, vol. 520, pp. 331-341, 2023. \uff08SCI IF: 5.779\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Rui-Xiao HUANG, Xiao-Feng FU, <strong>Yi-Fei PU<\/strong>*. \u201cA Novel Fractional Accumulative Grey Model with GA-PSO Optimizer and Its Application,\u201d Sensors, vol. 23, no. 2, Article ID 636, 2023. \uff08SCI IF: 3.847, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Wu-Yang ZHU, <strong>Yi-Fei PU<\/strong>*. \u201cA Study of Fractional-Order Memristive Ant Colony Algorithm: Take Fracmemristor into Swarm Intelligent Algorithm,\u201d <strong>Fractal and Fractional,<\/strong> vol. 7, no. 3, Article ID 211, 2023. \uff08SCI IF: 3.577, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Xue-Tao XIE, Zhi-Ping LI, <strong>Yi-Fei PU<\/strong>*, Jian WANG, Wei-Hua ZHANG, Yang WEN. \u201cA Fractional Filter Based on Reinforcement Learning for Effective Tracking Under Impulsive Noise,\u201d Neurocomputing, vol. 516, pp. 155-168, 2023. \uff08SCI IF: 5.779, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Xue-Tao XIE, <strong>Yi-Fei PU<\/strong>*, Jian WANG. \u201cA Fractional Gradient Descent Algorithm Robust to the Initial Weights of Multilayer Perceptron,\u201d <strong>Neural Networks<\/strong>, vol. 158, pp. 154-170, 2023. \uff08SCI IF: 9.657, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ze-Rui SHAO, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, Bi-Han WEN, and Yi ZHANG. \u201cHyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection,\u201d <strong>IEEE Transactions on Multimedia<\/strong>, vol. 25, pp. 112-125, 2023. \uff08SCI IF: 8.182\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Qiu-Yan HE, <strong>Yi-Fei PU<\/strong>*, Bo YU, and Xiao YUAN. \u201cElectrical Characteristics of Quadratic Chain Scaling Fractional-Order Memristor,\u201d <strong>IEEE Transactions on Circuits and Systems\u2014II: Express Briefs<\/strong>, vol. 69, no. 11, pp. 4558-4562, 2022. \uff08SCI IF: 3.292, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Lei LI, <strong>Yi-Fei PU<\/strong>*, Xue-Tao XIE. \u201cPerformance Analysis of Fractional-Order Adaptive Filtering Algorithm and Its Improvement,\u201d<strong> IEEE Signal Processing Letters<\/strong>, vol. 29, pp. 1853-1857, 2022. \uff08SCI IF: 3.201, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n<li class=\"has-medium-font-size\">Lei LI, <strong>Yi-Fei PU<\/strong>*, and Zheng-Yan LUO. \u201cDistributed Functional Link Adaptive Filtering for Nonlinear Graph Signal Processing,\u201d Digital Signal Processing, vol. 128, Article ID 103558, 2022. \uff08SCI IF: 3.381, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Bo YU, <strong>Yi-Fei PU<\/strong>*, Qiu-Yan HE, and Xiao YUAN. \u201cPrinciple and Application of Frequency-Domain Characteristic Analysis of Fractional-Order Memristor,\u201d Micromachines, vol. 13, no. 9, Article ID 1512, 2022. \uff08SCI IF: 3.523, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Lei LI, and <strong>Yi-Fei PU<\/strong>*. \u201cWidely Linear Complex-Valued Least Mean M-Estimate Algorithms: Design and Performance Analysis,\u201d Digital Signal Processing, Circuits, Systems, and Signal Processing, vol. 41, pp. 5785\u20135806, 2022. \uff08SCI IF: 2.311, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Wu-Yang ZHU, <strong>Yi-Fei PU<\/strong>*, Bo LIU, Bo YU, and Ji-Liu ZHOU. \u201cA Mathematical Analysis: from Memristor to Fracmemristor,\u201d <strong>Chinese Physics B<\/strong>, vol. 31, no. 6, Article ID 060204, 2022. \uff08SCI IF: 1.652, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Bo YU, <strong>Yi-Fei PU<\/strong>*, Qiu-Yan HE, and Xiao YUAN. \u201cCircuit Implementation of Variable-Order Scaling Fractal-Ladder Fractor with High Resolution,\u201d <strong>Fractal and Fractional<\/strong>, vol. 6, no. 7, Article ID 388, 2022. \uff08SCI IF: 3.577, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Wen Pan, Weihua Zhang, and <strong>Yi-Fei PU<\/strong>. \u201cFractional-Order Multiscale Attention Feature Pyramid Network for Time Series Classification,\u201d Applied Intelligence, accepted to be published, 2022. \uff08SCI IF: 5.019\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Kai-Li YIN, <strong>Yi-Fei PU<\/strong>*, and Lu LU. \u201cCensored Regression Distributed Functional Link Adaptive Filtering Algorithm over Nonlinear Networks,\u201d Signal Processing, vol. 190, accepted to be published, 2022. \uff08SCI IF: 4.662, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Bo ZHAN, Luping ZHOU, Zhiang LI, Xi WU, <strong>Yi-Fei PU<\/strong>, Jiliu ZHOU, Yan WANG, Dinggang SHEN. \u201cD2FE-GAN: Decoupled Dual Eeature Extraction based GAN for MRI Image Synthesis\uff0c\u201d Knowledge-Based Systems, vol. 252, Article ID 109362, 2022. \uff08SCI IF: 8.139\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Zheng-Yan LUO, Ji-Liu ZHOU, <strong>Yi-Fei PU<\/strong>. \u201cA Widely Linear Complex-Valued Affine Projection Sign Algorithm with its Steady-State Mean-Square Analysis\u201d, Circuits, Systems, and Signal Processing, accepted to be published, 2021. \uff08SCI IF: 2.225\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Kai-Li YIN, <strong>Yi-Fei PU<\/strong>*, and Lu LU. \u201cRobust Q-Gradient Subband Adaptive Filter for Nonlinear Active Noise Control,\u201d <strong>IEEE\/ACM Transactions on Audio Speech and Language Processing<\/strong>, vol. 29, pp. 2741-2752 , 2021. \uff08SCI IF: 3.919, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Chao REN, Xiao-Hai HE, <strong>Yi-Fei PU<\/strong>, and Truong Q. Nguyen. \u201cLearning Image Profile Enhancement and Denoising Statistics Priors for Single-Image Super-Resolution,\u201d <strong>IEEE Transactions on Cybernetics<\/strong>, vol. 51, no. 7, pp. 3535-3548 , 2021. \uff08SCI IF: 19.118\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Xue-Tao XIE, <strong>Yi-Fei PU<\/strong>*, Lei LI, and Jian WANG. \u201cAn Enhanced Fractional Least Mean Square Filter Encountering the Specific Unknown System Vector,\u201d <strong>IEEE Transactions on Circuits and Systems\u2014II: Express Briefs<\/strong>, vol. 69, no. 3, pp. 1912-1916, 2022. \uff08SCI IF: 3.292, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Kai-Li YIN, <strong>Yi-Fei PU<\/strong>*, and Lu LU. \u201cSolving SIMO Nonlinear Systems with Euler Nonlinear Filter,\u201d <strong>IEEE Transactions on Circuits and Systems\u2014II: Express Briefs<\/strong>, vol. 69, no. 3, pp. 1897-1901, 2022. \uff08SCI IF: 3.292, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Chao REN, Xiao-Hai HE, Lin-Bo QING, Yuan-Yuan WU, and <strong>Yi-Fei PU<\/strong>. \u201cRemote Sensing Image Recovery Via Enhanced Residual Learning and Dual-Luminance Scheme,\u201d Knowledge-Based Systems, vol. 222, 107013, 2021.\uff08SCI IF: 8.139\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Miao CHEN, <strong>Yi-Fei PU<\/strong>*, and Yu-Cai BAI. \u201cLow-dose CT image denoising using residual convolutional network with fractional TV loss,\u201d Neurocomputing, vol. 452, pp. 510-520, 2020. \uff08SCI IF: 4.438, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Qiu-Yan HE, <strong>Yi-Fei PU<\/strong>*, Bo YU, and Xiao YUAN. \u201cArbitrary-Order Fractance Approximation Circuits with High Order-Stability Characteristic and Wider Approximation Frequency Bandwidth,\u201d <strong>IEEE\/CAA Journal of Automatica Sinica<\/strong>, vol. 7, no. 5, pp. 1417-1428, 2020. \uff08SCI IF: 7.847, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Jian Wang, Hua-Qing Zhang, Jun-Ze Wang, <strong>Yi-Fei PU<\/strong>*, and Nikhil R. Pal. \u201cFeature Selection using a Neural Network with Group Lasso Regularization and Controlled Redundancy,\u201d <strong>IEEE Transactions on Neural Networks and Learning Systems<\/strong>, vol. 32, no. 3, pp. 1110-1123, 2021. \uff08SCI IF: 14.255, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Kai-Li YIN, <strong>Yi-Fei PU<\/strong>*, and Lu LU. \u201cHermite Functional Link Artificial Neural Network Assisted Adaptive Algorithms for IoV Nonlinear Active Noise Control,\u201d <strong>IEEE Internet of Things Journal<\/strong>, vol. 7, no. 9 , pp. 8372-8383, 2020. \uff08SCI IF: 10.238, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Kai-Li YIN, <strong>Yi-Fei PU<\/strong>*, and Lu LU. \u201cCombination of fractional FLANN filters for solving the Van der Pol-Duffing oscillator,\u201d Neurocomputing, vol. 399, pp. 183-192, 2020. \uff08SCI IF: 4.438, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Li XU, Guo HUANG, Qing-li CHEN, Hong-yin QIN, Tao MEN, and <strong>Yi-Fei PU<\/strong>. \u201cAn improved method for image denoising based on fractional-order integration,\u201d Frontiers of Information Technology &amp; Electronic Engineering (\u4e2d\u56fd\u5de5\u7a0b\u9662\u9662\u520a-\u4fe1\u606f\u4e0e\u7535\u5b50\u5de5\u7a0b\u524d\u6cbf\uff08\u82f1\u6587\u7248\uff09), vol. 21, no. 10, pp. 1485-1493, 2020. \uff08SCI IF: 2.526\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ziaur Rahman, <strong>Yi-Fei PU<\/strong>*, Muhammad Aamir, and Samad Wali. \u201cStructure revealing of low-light images using wavelet transform based on fractional-order denoising and multiscale decomposition,\u201d The Visual Computer, vol. 37, no. 5, pp. 865-880, 2021.\uff08SCI IF: 1.415, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ziaur Rahman, <strong>Yi-Fei PU<\/strong>*, Muhammad Aamir, Samad Wali, and Yurong Guan. \u201cEfficient Image Enhancement Model for Correcting Uneven Illumination Images,\u201d IEEE Access, vol. 8, pp. 109038-109053, 2020. \uff08SCI IF: 4.098, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Qiu-Yan HE, <strong>Yi-Fei PU<\/strong>*, Bo YU, and Xiao YUAN. \u201cA Class of Fractal-Chain Fractance Approximation Circuit,\u201d International Journal of Electronics, vol. 107, no. 10, pp. 1588-1608, 2020. \uff08SCI IF: 1.070, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Xin CAI, and <strong>Yi-Fei PU<\/strong>*. \u201cFlatteNet: A Simple and Versatile Framework for Dense Pixelwise Prediction,\u201d IEEE Access, vol. 7, pp. 179985-179996, 2019. \uff08SCI IF: 4.098, \u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Chao REN, Xiao-Hai HE, <strong>Yi-Fei PU<\/strong>, and Truong Q. Nguyen. \u201cEnhanced Non-Local Total Variation Model and Multi-Directional Feature Prediction Prior for Single Image Super Resolution,\u201d <strong>IEEE Transactions on Image Processing<\/strong>, vol. 28, no.8, pp. 3778-3793, 2019. \uff08SCI IF: 11.041\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Qiu-Yan HE, <strong>Yi-Fei PU<\/strong>*, Bo YU, and Xiao YUAN. \u201cScaling Fractal-Chuan Fractance Approximation Circuits of Arbitrary-Order,\u201d Circuits, Systems, and Signal Processing, vol. 38, no. 11, pp. 4933-4958, 2019. (SCI IF: 1.998, \u901a\u4fe1\u4f5c\u8005)<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Bo YU, <strong>Yi-Fei PU<\/strong>*, and Qiu-Yan HE. \u201cFractional-Order Dual-Slope Integral Fast Analog-to-Digital Converter with High Sensitivity,\u201d Journal of Circuits Systems and Computers, vol. 29, no. 5, Article ID 2050083, 2020. \uff08SCI IF: 0.939\uff0c\u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Qiang DAI, <strong>Yi-Fei PU<\/strong>*, Ziaur RAHMAN, and Muhammad AAMIR. \u201cFractional-Order Fusion Model for Low-Light Image Enhancement,\u201d Symmetry, vol. 11, no. 4, Article ID sym11040574, 17 pages, 2019. (SCI IF: 2.143, \u901a\u4fe1\u4f5c\u8005)<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Muhammad AAMIR, <strong>Yi-Fei PU<\/strong>*, Ziaur RAHMAN, Muhammad TAHIR, Hamad NAEEM, and Qiang DAI. \u201cA Framework for Automatic Building Detection from Low-Contrast Satellite Images,\u201d Symmetry, vol. 11, no. 1, Article ID sym11010003, 19 pages, 2019. (SCI IF: 2.143, \u901a\u4fe1\u4f5c\u8005)<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ziaur RAHMAN, Muhammad AAMIR, <strong>Yi-Fei PU<\/strong>*, Farhan ULLAH, and Qiang DAI. \u201cA Smart System for Low-Light Image Enhancement with Color Constancy and Details Manipulation in Complex Light Environment,\u201d Symmetry, vol. 10, no. 12, Article ID sym10120718, 15 pages, 2018. (SCI IF: 2.143, \u901a\u4fe1\u4f5c\u8005)<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Li Xu, Guo Huang, and <strong>Yi-Fei PU<\/strong>*. \u201cNumerical Simulation Research of Fracmemristor Circuit Based on HP Memristor,\u201d Journal of Circuits Systems and Computers, vol. 27, no. 14, Article ID 1850227, 16 pages, 2018. \uff08SCI IF: 0.939\uff0c\u901a\u4fe1\u4f5c\u8005\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Chao REN, Xiao-Hai HE, and <strong>Yi-Fei PU<\/strong>. \u201cNonlocal Similarity Modeling and Deep CNN Gradient Prior for Super Resolution,\u201d <strong>IEEE Signal Processing Letters<\/strong>, vol. 25, no. 7, pp. 916-920, 2018. (SCI IF: 3.268)<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ni ZHANG, <strong>Yi-Fei PU<\/strong>, Sui-Quan YANG, Ji-Liu ZHOU and Jin-Kang GAO. \u201cAn Ontological Chinese Legal Consultation System ,\u201d IEEE Access, vol. 5, pp. 18250-18261, 2017. \uff08SCI IF: 4.098\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yan WANG, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi WU, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, and Dinggang Shen. \u201cSemi-Supervised Tripled Dictionary Learning for Standard-dose PET Image Prediction using Low-dose PET and Multimodal MRI,\u201d <strong>IEEE Transactions on Biomedical Engineering<\/strong>, vol. 64, no. 3, pp. 569-579, 2017. \uff08SCI IF: 4.491\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi ZHANG, Yan WANG, Wei-HUA ZHANG, Feng LIN, <strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201cStatistical Iterative Reconstruction Using Adaptive Fractional Order Regularization,\u201d Biomedical Optics Express, vol. 7, no. 3, pp. 1015-1029, 2016. \uff08SCI IF 3.91\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi-Guang LIU, Yin-Jie LEI, Chun-Guang LI, Wen-Zheng XU, and <strong>Yi-Fei PU<\/strong>. \u201cA Random Algorithm for Low-Rank Decomposition of Large-Scale Matrices with Missing Entries,\u201d <strong>IEEE Transactions on Image Processing<\/strong>, vol. 24, no. 11, pp. 4502-4511, 2015. \uff08SCI IF: 11.041\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yong-Qing ZHANG, <strong>Yi-Fei PU<\/strong>, Hai-Sen ZHANG, Yong CONG, and Ji-Liu ZHOU. \u201cAn extended fractional Kalman filter for inferring gene regulatory networks using time-series data,\u201d Chemometrics and Intelligent Laboratory Systems, vol.138, pp. 57-63, 2014. \uff08SCI IF 2.786\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yan WANG, Wen-Zao LI, Ji-Liu ZHOU, Xiao-Hua LI, and <strong>Yi-Fei PU<\/strong>. \u201cIdentification of normal and abnormal heart sound using wavelet-time entropy features based on OMS-WPD,\u201d Future Generation Computer System, Article ID FUTURE2548, 2014. \uff08SCI IF 5.768\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yong-Qing ZHANG, <strong>Yi-Fei PU<\/strong>, Hai-Sen ZHANG, Yong CONG, and Ji-Liu ZHOU. \u201cUsing gene express-ion programming to infer gene regulatory networks from time-series data,\u201d Computational Biology and Chemistry, vol.47, pp. 198-206, 2013. \uff08SCI IF 1.595\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi-Guang LIU, Li-Ping CAO, Chun-Ling LIU, <strong>Yi-Fei PU<\/strong>, and Hong CHENG. \u201cRecovering shape and motion by a dynamic system for low-rank matrix approximation in L (1) norm,\u201d Visual Computer, vol.29, no.5, pp. 421-431, 2013. \uff08SCI IF 1.415\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi ZHANG, <strong>Yi-Fei PU<\/strong>, Wei-Hua ZHANG, Jin-Rong HU, Han WANG, Yin-Jie LEI, and Ji-Liu ZHOU. \u201cA novel noniterative metal artifacts reduction method using coherent transport with fast marching in CT,\u201d International Journal of Imaging Systems and Technology, vol.22, no. 4, pp. 200-207, 2012. \uff08SCI IF 1.254\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yan LIU, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, and Xiao-Dong SHEN. \u201cDesign of -1\/2n order analog fractance approximation circuit using continued fractions decomposition,\u201d Journal of Circuits, Systems, and Computers, vol.34, no.6, pp. 1388-1392, 2012. \uff08SCI IF 0.939\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yan LIU, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, and Xiao-Dong SHEN. \u201cDesign and Behavior Study of 1\/2(n) Order Fractional Controllers based on RC Elements,\u201d Information-An International Interdisciplinary Journal, vol.15, no.4, pp. 1663-1673, 2012. \uff08SCI IF 0.25\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi ZHANG, <strong>Yi-Fei PU<\/strong>, Jin-Rong HU, and Ji-Liu ZHOU. \u201cA class of fractional-order variation image inpainting models,\u201d Applied Mathematics &amp; Information Sciences, vol. 6, no.2, pp. 299-306, 2012. \uff08SCI IF 0.731\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Jin-Rong HU, <strong>Yi-Fei PU<\/strong>, Xi WU, Yi ZHANG, and Ji-Liu ZHOU. \u201cImproved DCT-based nonlocal means filter for MR Images Denoising,\u201d Computational and Mathematical Methods in Medicine, 2012, Article ID 232685, 14 pages, 2012. \uff08SCI IF 1.563\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi-Guang LIU, Bing-Bing LIU, <strong>Yi-Fei PU<\/strong>, Xiao-Hui CHEN, and Hong CHENG. \u201cLow-rank matrix decomposition in L-1-norm by dynamic systems, \u201d Image and Vision Computing, vol.30, no.11, pp. 915-921, 2012. \uff08SCI IF 2.747\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi ZHANG, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, and Jin-Rong HU. \u201cEfficient CT metal artifacts reduction based on fractional-order curvature diffusion,\u201d Computational and Mathematical Methods in Medicine, Article ID 173748, 9 pages, 2011. \uff08SCI IF 1.563\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi ZHANG, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, and Jin-Rong HU. \u201cA new CT metal artifacts reduction algorithm based on fractional-order sinogram inpainting,\u201d Journal of X-Ray Science and Technology, vol.19, no. 3, pp. 373-384, 2011. \uff08SCI IF 1.662\uff09<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n<h2 class=\"wp-block-heading has-text-align-center\">\u901a\u4fe1\u4f5c\u8005\u53d1\u8868\u7684SSCI\u68c0\u7d22\u7684\u90e8\u5206\u671f\u520a\u8bba\u6587<\/h2>\r\n\r\n\r\n\r\n<ol>\r\n<li class=\"has-medium-font-size\">Ni ZHANG, <strong>Yi-Fei PU<\/strong>*, Sui-Quan YANG, Jin-Kang GAO, Zhu WANG and Ji-Liu ZHOU. \u201cA Chinese Legal Intelligent Auxiliary Discretionary Adviser Based on GA-BP NNs,\u201d The Electronic Library, vol. 36, no. 6, pp. 1135-1153, 2018. \uff08SSCI IF: 0.886, \u901a\u4fe1\u4f5c\u8005\uff09\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/doi.org\/10.1108\/EL-03-2017-0056<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n<h2 class=\"wp-block-heading has-text-align-center\">\u5728\u300a\u79d1\u6280\u7eb5\u89c8\u300b\uff08IEEE Spectrum\u4e2d\u6587\u7248\uff09\u4e0a\u53d1\u8868\u7684\u8bba\u6587<\/h2>\r\n\r\n\r\n\r\n<ol>\r\n<li class=\"has-medium-font-size\"><strong>\u84b2\u4ea6\u975e<\/strong>, \u4f59\u6ce2, \u8881\u6653. \u201c\u8bb0\u5fc6\u5143\u4ef6\uff1a\u4ece\u5fc6\u963b\u5143\u5230\u5206\u5fc6\u6297\u5143,\u201d\u300a\u79d1\u6280\u7eb5\u89c8\u300b\uff08IEEE Spectrum\u4e2d\u6587\u7248\uff09, no. 76, pp. 66-67, 2018. 11.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u5f20\u59ae, <strong>\u84b2\u4ea6\u975e<\/strong>. \u201c\u8ba1\u7b97\u6cd5\u5b66\uff1a\u6cd5\u53ef\u4ee5\u88ab\u8ba1\u7b97\u5417\uff1f\u201d\u300a\u79d1\u6280\u7eb5\u89c8\u300b\uff08IEEE Spectrum\u4e2d\u6587\u7248\uff09, no. 76, pp. 52-54, 2018. 11.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n<h2 class=\"wp-block-heading has-text-align-center\">\u7b2c\u4e00\u4f5c\u8005\u53d1\u8868\u7684EI \u68c0\u7d22\u7684\u90e8\u5206\u671f\u520a\u8bba\u6587<\/h2>\r\n\r\n\r\n\r\n<ol>\r\n<li class=\"has-medium-font-size\"><strong>\u84b2\u4ea6\u975e<\/strong>, \u738b\u536b\u661f.\u201c\u6570\u5b57\u56fe\u50cf\u7684\u5206\u6570\u9636\u5fae\u5206\u63a9\u6a21\u53ca\u5176\u6570\u503c\u8fd0\u7b97\u89c4\u5219,\u201d\u81ea\u52a8\u5316\u5b66\u62a5, vol.33, no.11, pp. 1128-1135, 2007.\uff08<strong>Yi-Fei PU<\/strong>, and Wei-Xing WANG. \u201cFractional differential masks of digital image and their numerical implementation algorithms,\u201d Acta Automatica Sinica, vol.33, no.11, pp. 1128-1135, 2007.\uff09\uff08EI\uff1a20075210995097,<strong>\u5165\u90092012\u5e74\u5ea6\u4e2d\u56fd\u9886\u8dd1\u80055000<\/strong>\uff08F5000\uff09\u2014\u2014\u4e2d\u56fd\u7cbe\u54c1\u79d1\u6280\u671f\u520a\u9876\u5c16\u5b66\u672f\u8bba\u6587, \u79d1\u6280\u90e8\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u4fe1\u606f\u7814\u7a76\u6240\u8bc4\u9009\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>. \u201cMaterial Performance Measurement of A Promising Circuit Element: Fractor-Part I: Driving-Point Impedance Function of the Arbitrary-Order Fractor in Its Natural Implementation,\u201d Materials Research Innovations, vol. 19, no. S10, pp. 176-182, 2015. Available: https:\/\/www.tandfonline.com\/doi\/abs\/10.1179\/1432891715Z.0000000002137<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>. \u201cMaterial Performance Measurement of A Promising Circuit Element: Fractor-Part II: Measurement Units and Physical Dimensions of Fractance and Rules for Fractors in Series And Parallel,\u201d Materials Research Innovations, vol. 19, no. S10, pp. 183-189, 2015. Available: https:\/\/www.tandfonline.com\/doi\/abs\/10.1179\/1432891715Z.0000000002139<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>\u84b2\u4ea6\u975e<\/strong>, \u738b\u536b\u661f, \u5468\u6fc0\u6d41, \u738b\u4e00\u6768, \u8d3e\u534e\u4e01. \u201c\u6570\u5b57\u56fe\u50cf\u7eb9\u7406\u7ec6\u8282\u7684\u5206\u6570\u9636\u5fae\u5206\u68c0\u6d4b\u53ca\u5176\u5206\u6570\u9636\u5fae\u5206\u6ee4\u6ce2\u5668\u5b9e\u73b0,\u201d <strong>\u4e2d\u56fd\u79d1\u5b66 F\u8f91 \u4fe1\u606f\u79d1\u5b66 (\u4e2d\u6587\u7248)<\/strong>, vol. 38, no. 12, pp. 2252-2272, 2008.\uff08\u5728\u4e2d\u56fd\u79d1\u5b66\u4e0a\u5206\u522b\u4ee5\u4e2d\u6587\u3001\u82f1\u6587\u7248\u540c\u65f6\u51fa\u7248\uff0c\u5bf9\u5e94\u82f1\u6587\u7248\uff1a<strong>Yi-Fei PU<\/strong>, Wei-Xing WANG, Ji-Liu ZHOU, Yi-Yang WANG, and Hua-Ding JIA. \u201cFractional Differential Approach to Detecting Textural Features of Digital Image and Its Fractional Differential Filter Implementation,\u201d Science in China Series F: Information Sciences, vol. 51, no. 9, pp. 1319-1339, 2008.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201cA Novel Approach for Multi-scale Texture Segmentation Based on Fractional Differential,\u201d International Journal of Computer Mathematics\uff0cvol.88, no.1, pp. 58-78, 2010.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>\u84b2\u4ea6\u975e<\/strong>. \u201c\u5c06\u5206\u6570\u9636\u5fae\u5206\u6f14\u7b97\u5f15\u5165\u6570\u5b57\u56fe\u50cf\u5904\u7406,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5 (\u5de5\u7a0b\u79d1\u5b66\u7248)\uff0cvol.39, no.3, pp. 124-132, 2007. \uff08Yi-Fei PU. \u201cApplication of Fractional Differential Approach to Digital Image Processing,\u201d Journal of Sichuan University (Engineering Science Edition)\uff0cvol.39, no.3, pp. 58-78, 2007.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>. \u201cFractional Differential Analysis for texture of Digital Image,\u201d Journal of Algorithms &amp; Computational Technology\uff0cvol.1, no.3, pp. 357-380, 2007.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>\u84b2\u4ea6\u975e<\/strong>, \u8881\u6653, \u5ed6\u79d1, \u9648\u5fe0\u6797, \u5468\u6fc0\u6d41. \u201c\u4e00\u79cd\u5b9e\u73b0\u4efb\u610f\u5206\u6570\u9636\u4eff\u751f\u795e\u7ecf\u578b\u8109\u51b2\u632f\u8361\u5668\u7684\u683c\u5f62\u6a21\u62df\u5206\u6297\u7535\u8def,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5 (\u5de5\u7a0b\u79d1\u5b66\u7248), vol. 38, No. 1, pp. 128-132, 2006.\uff08Yi-Fei PU, Xiao YUAN, Ke LIAO, Zhong-lin CHEN, and Ji-liu ZHOU. \u201cImplement any Fractional Order Neural-Type Pulse Oscillator with Net-Grid-Type Analog Fractance Circuit,\u201d Journal of Sichuan University (Engineering Science Edition), vol. 38, no. 1, pp. 128-132, 2006.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>\u84b2\u4ea6\u975e<\/strong>, \u8881\u6653, \u5ed6\u79d1, \u9648\u5fe0\u6797, \u5468\u6fc0\u6d41.\u201c\u73b0\u4ee3\u4fe1\u53f7\u5206\u6790\u4e0e\u5904\u7406\u4e2d\u5206\u6570\u9636\u5fae\u79ef\u5206\u7684\u4e94\u79cd\u6570\u503c\u5b9e\u73b0\u7b97\u6cd5,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5 (\u5de5\u7a0b\u79d1\u5b66\u7248)\uff0cvol.37, No.5, pp. 118-124, 2005. \uff08Yi-Fei PU, Xiao YUAN, Ke LIAO, Zhong-lin CHEN, and Ji-liu ZHOU. \u201cFive Numerical Alforithms of Fractional Calculus Applied in Modern Signal Analyzing and Processing,\u201d Journal of Sichuan University (Engineering Science Edition)\uff0cvol.37, no.5, pp. 118-124, 2005.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>\u84b2\u4ea6\u975e<\/strong>, \u8881\u6653, \u5ed6\u79d1, \u5468\u6fc0\u6d41, \u738b\u6c38\u5fb7. \u201c\u8fde\u7eed\u5b50\u6ce2\u53d8\u6362\u6570\u503c\u5b9e\u73b0\u4e2d\u5c3a\u5ea6\u91c7\u6837\u95f4\u9694\u7684\u786e\u5b9a,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5 (\u5de5\u7a0b\u79d1\u5b66\u7248)\uff0cvol.36, No.6, pp. 111-116, 2004. \uff08Yi-Fei PU, Xiao YUAN, Ke Liao, Ji-Liu ZHOU, and Yong-De WANG. \u201cDetermination of Scale Sample Step for Getting Numerical Result of the Continuous Wavelet Transform,\u201d Journal of Sichuan University (Engineering Science Edition)\uff0cvol.36, no.6, pp. 111-116, 2004.\uff09<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n<h2 class=\"wp-block-heading has-text-align-center\"><br \/>\u975e\u7b2c\u4e00\u4f5c\u8005\u53d1\u8868\u7684EI \u68c0\u7d22\u7684\u90e8\u5206\u671f\u520a\u8bba\u6587<\/h2>\r\n\r\n\r\n\r\n<ol>\r\n<li class=\"has-medium-font-size\">\u9ec4\u679c, <strong>\u84b2\u4ea6\u975e<\/strong>, \u9648\u5e86\u5229, \u5468\u6fc0\u6d41.\u201c\u975e\u6574\u6570\u6b65\u957f\u7684\u5206\u6570\u9636\u5fae\u5206\u6ee4\u6ce2\u5668\u5728\u56fe\u50cf\u589e\u5f3a\u4e2d\u7684\u5e94\u7528,\u201d\u56db\u5ddd\u5927\u5b66\u5b66\u62a5(\u5de5\u7a0b\u79d1\u5b66\u7248), vol.43, No.1, pp. 129-136, 2011. \uff08Guo HUANG, Yi-Fei PU, Qing-Li CHEN, and Ji-Liu ZHOU. \u201cApplication of non-integer step and fractional order differential filter in the image enhancement,\u201d Journal of Sichuan University (Engineering Science Edition), vol.43, no.1, pp. 129-136, 2011.\uff09\uff08EI: 20111013735568, <strong>\u5165\u90092014\u5e74\u5ea6\u4e2d\u56fd\u9886\u8dd1\u80055000<\/strong>\uff08F5000\uff09\u2014\u2014\u4e2d\u56fd\u7cbe\u54c1\u79d1\u6280\u671f\u520a\u9876\u5c16\u5b66\u672f\u8bba\u6587, \u79d1\u6280\u90e8\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u4fe1\u606f\u7814\u7a76\u6240\u8bc4\u9009\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Chun-Hui Bao, <strong>Yi-Fei PU<\/strong>, Yi ZHANG. \u201cFractional-Order Deep Backpropagation Neural Network,\u201dComputational Intelligence and Neuroscience, vol. 2018, Article ID 7361628, 10 pages, 2018.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u80e1\u91d1\u84c9, <strong>\u84b2\u4ea6\u975e<\/strong>, \u5f20\u610f, \u5468\u6fc0\u6d41. \u201cDCT\u5b50\u7a7a\u95f4\u7684\u975e\u5c40\u90e8\u5747\u503c\u53bb\u566a\u7b97\u6cd5,\u201d\u8ba1\u7b97\u673a\u8f85\u52a9\u8bbe\u8ba1\u4e0e\u56fe\u5f62\u5b66\u5b66\u62a5, vol.24, No.1, pp. 89-96, 2012.\uff08Jin-Rong HU, Yi-Fei PU, Yi ZHANG, and Ji-Liu ZHOU. \u201cNonlocal means denoising algorithm based on DCT subspace,\u201d Journal of Computer-Aided Design and Computer Graphics, vol.24, no.1, pp. 89-96, 2012.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u5218\u5f66, <strong>\u84b2\u4ea6\u975e<\/strong>, \u6c88\u6653\u4e1c, \u5468\u6fc0\u6d41.\u201c\u57fa\u4e8e\u8fde\u5206\u5f0f\u5206\u89e3\u76841\/2\uff3en\u9636\u6a21\u62df\u5206\u6297\u903c\u8fd1\u7535\u8def\u8bbe\u8ba1,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5(\u5de5\u7a0b\u79d1\u5b66\u7248), vol.44, No.3, pp. 153-158, 2012.\uff08Yan LIU, Yi-Fei PU, Xiao-Dong SHEN, and Ji-Liu ZHOU. \u201cDesign of 1\/2n order analog fractance approximation circuit based on continued fractions decomposition,\u201dJournal of Sichuan University (Engineering Science Edition), vol.44, no.3, pp. 153-158, 2012.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u5218\u5f66, <strong>\u84b2\u4ea6\u975e<\/strong>, \u6c88\u6653\u4e1c, \u5468\u6fc0\u6d41. \u201c\u5206\u6570\u9636Unscented\u5361\u5c14\u66fc\u6ee4\u6ce2\u5668\u7814\u7a76,\u201d \u7535\u5b50\u4e0e\u4fe1\u606f\u5b66\u62a5, vol.34, No.6, pp. 1388-1392, 2012.\uff08Yan LIU, Yi-Fei PU, Xiao-Dong SHEN, and Ji-Liu ZHOU. \u201cFractional unscented Kalman filter,\u201d Journal of Electronics and Information Technology, vol.34, no.6, pp. 1388-1392, 2012.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u80e1\u91d1\u84c9, <strong>\u84b2\u4ea6\u975e<\/strong>, \u5468\u6fc0\u6d41. \u201c\u5206\u6570\u9636\u79ef\u5206\u7684\u56fe\u50cf\u53bb\u566a\u7b97\u6cd5,\u201d \u7535\u5b50\u79d1\u6280\u5927\u5b66\u5b66\u62a5, Vol.41, No.5, pp. 705-711, 2012.\uff08Jin-Rong HU, Yi-Fei PU, and Ji-Liu ZHOU. \u201cFractional Integral Denoising Algorithm,\u201d Journal of the University of Electronic Science and Technology of China, vol.41, no.5, pp. 705-711, 2012.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u96f7\u521a, <strong>\u84b2\u4ea6\u975e<\/strong>, \u5f20\u536b\u534e, \u5468\u6fc0\u6d41. \u201c\u5f20\u91cf\u5178\u578b\u76f8\u5173\u5206\u6790\u53ca\u5176\u5728\u4eba\u8138\u8bc6\u522b\u4e2d\u7684\u5e94\u7528,\u201d \u7535\u5b50\u79d1\u6280\u5927\u5b66\u5b66\u62a5, Vol.42, No.3, pp. 435-440, 2012.\uff08Gang LEI, Yi-Fei PU, Wei-Hua ZHANG, and Ji-Liu ZHOU. \u201cTensor correlation analysis and its application to face recognition,\u201d Journal of the University of Electronic Science and Technology of China, vol.42, no.3, pp. 435-440, 2012.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u9648\u5e86\u5229, <strong>\u84b2\u4ea6\u975e<\/strong>, \u9ec4\u679c, \u5468\u6fc0\u6d41. \u201c\u6570\u5b57\u56fe\u50cf\u76840~1\u9636Riemann-Liouville\u5206\u6570\u9636\u5fae\u5206\u589e\u5f3a\u6a21\u677f,\u201d \u7535\u5b50\u79d1\u6280\u5927\u5b66\u5b66\u62a5, vol.40, no.5, pp. 772-776, 2011.\uff08Qing-Li CHEN, Yi-Fei PU, Guo HUANG, and Ji-Liu ZHOU. \u201c0~1 Order Riemann-Liouville Fractional Differential Enhancing Mask of Digital Image,\u201d Journal of University of Electronic Science and Technology of China, vol.40, no.5, pp. 772-776, 2011.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Jin-Rong HU, <strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201cA novel image denoising algorithm based on riemann-liouville definition,\u201d Journal of Computers, vol.6, no.7, pp. 1332-1338, 2011.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u5218\u5f66, <strong>\u84b2\u4ea6\u975e<\/strong>, \u5468\u6fc0\u6d41. \u201c\u4e00\u79cd\u57fa\u4e8e\u5206\u6570\u9636\u79ef\u5206\u7684\u6570\u5b57\u56fe\u50cf\u53bb\u566a\u7b97\u6cd5,\u201d\u56db\u5ddd\u5927\u5b66\u5b66\u62a5(\u5de5\u7a0b\u79d1\u5b66\u7248) , vol.43, no.3, pp. 90-95, 2011.\uff08Yan LIU, Yi-Fei PU, and Ji-Liu ZHOU. \u201cA digital image denoising method based on fractional calculus,\u201d Journal of Sichuan University (Engineering Science Edition) , vol.43, no.3, pp. 90-95, 2011.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Jin-Rong HU, <strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201cFractional integral denoising algorithm and implementation of fractional integral filter,\u201d Journal of Computational Information Systems, vol.7, no.3, pp. 729-736, 2011.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u9648\u5e86\u5229, <strong>\u84b2\u4ea6\u975e<\/strong>, \u9ec4\u679c, \u5468\u6fc0\u6d41. \u201c\u5206\u6570\u9636\u795e\u7ecf\u578b\u8109\u51b2\u632f\u8361\u5668,\u201d\u56db\u5ddd\u5927\u5b66\u5b66\u62a5 (\u5de5\u7a0b\u79d1\u5b66\u7248), vol.43, no.1, pp. 123-128, 2011.\uff08Qing-Li CHEN, Yi-Fei PU, Guo HUANG, and Ji-Liu ZHOU. \u201cFractional-order neural pulse oscillator,\u201d Journal of Sichuan University (Engineering Science Edition), vol.43, no.1, pp. 123-128, 2011.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u5f20\u610f, <strong>\u84b2\u4ea6\u975e<\/strong>, \u5468\u6fc0\u6d41. \u201c\u5206\u6570\u9636\u5fae\u5206\u63a9\u6a21\u53ca\u5176\u6ee4\u6ce2\u5668\u7684\u6784\u9020,\u201d\u534e\u5357\u7406\u5de5\u5927\u5b66\u5b66\u62a5 (\u81ea\u7136\u79d1\u5b66\u7248), vol.39, no.7, pp. 95-101, 2011.\uff08Yi ZHANG, Yi-Fei PU, and Ji-Liu ZHOU. \u201cConstruction of Fractional Derivation Masks and Corresponding Filter,\u201d Journal of South Chia University of Technology, vol.39, no.7, pp. 95-101, 2011.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u9ec4\u679c, <strong>\u84b2\u4ea6\u975e<\/strong>, \u9648\u5e86\u5229, \u5468\u6fc0\u6d41. \u201c\u57fa\u4e8e\u5206\u6570\u9636\u79ef\u5206\u7684\u56fe\u50cf\u53bb\u566a,\u201d \u7cfb\u7edf\u5de5\u7a0b\u4e0e\u7535\u5b50\u6280\u672f, vol.33, no.4, pp. 925-932, 2011. \uff08Guo HUANG, Yi-Fei PU, Qing-Li CHEN, and Ji-Liu ZHOU. \u201cResearch on Image Denoising based on Fractional Order Integral,\u201d Systems Engineering and Electronics, vol.33, no.4, pp. 925-932, 2011.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi ZHANG, <strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201cConstruction of fractional differential masks based on Riemann-Liouville definition,\u201d Journal of Computational Information Systems, vol.6, no.10, pp. 3191-3200, 2010.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yan LIU, <strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201cDesign of image denoising filter based on fractional integral,\u201d Journal of Computational Information Systems, vol.6, no.9, pp. 2839-2847, 2010.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi ZHANG, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU, Jin-Rong HU, and Yan LIU. \u201cSalt-and-pepper noise suppression with a novel two stage algorithm,\u201d Journal of Information and Computational Science, vol.7, no.6, pp. 1301-1306, 2010.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u5f20\u5b8f, \u5468\u6fc0\u6d41, <strong>\u84b2\u4ea6\u975e<\/strong>. \u201c\u57fa\u4e8e\u6709\u9650\u5143\u7b97\u6cd5\u53ca\u4eff\u751f\u7535\u8def\u7684\u5fc3\u8840\u5faa\u73af\u6a21\u578b,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5 (\u5de5\u7a0b\u79d1\u5b66\u7248), vol.44, no. 4, pp.151-157, 2012.\uff08Hong ZHANG, Ji-Liu ZHOU, and Yi-Fei PU. \u201cA cardiovascular model based on finite element method and electrical analog model,\u201d Journal of Sichuan University (Engineering Science Edition), vol.44, no. 4, pp.151-157, 2012.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Liang YU, Gang ZHOU, and <strong>Yi-Fei PU<\/strong>. \u201cAn Improved Task Scheduling Algorithm in Grid Computing Environment,\u201d International Journal of Communications, Network and System Sciences, vol.4, pp.227-231, 2011.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u5ed6\u79d1, \u8881\u6653, <strong>\u84b2\u4ea6\u975e<\/strong>, \u5468\u6fc0\u6d41. \u201c1\/2 \u9636\u5206\u6570\u6f14\u7b97\u7684\u6a21\u62dfOTA \u7535\u8def\u5b9e\u73b0,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5 (\u5de5\u7a0b\u79d1\u5b66\u7248), vol.37, no. 6, pp.150-154, 2005.\uff08Ke LIAO, Xiao YUAN, Yi-Fei PU, and Ji-Liu ZHOU. \u201cAnalog Circuit Implement of Semi-Order Fractional Calculus Using OTA,\u201d Journal of Sichuan University (Engineering Science Edition), vol.37, no. 6, pp.150-154, 2005.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u9ec4\u679c, \u9648\u5e86\u5229, \u8bb8\u9ece, <strong>\u84b2\u4ea6\u975e<\/strong>, \u5468\u6fc0\u6d41. \u201c\u53ef\u53d8\u9636\u6b21\u5206\u6570\u9636\u5fae\u5206\u5b9e\u73b0\u56fe\u50cf\u81ea\u9002\u5e94\u589e\u5f3a,\u201d \u6c88\u9633\u5de5\u4e1a\u5927\u5b66\u5b66\u62a5(\u81ea\u7136\u79d1\u5b66\u7248), vol.34, no.4, pp. 446-454, 2012. \uff08Guo HUANG, Qing-Li CHEN, Li XU, Yi-Fei PU, and Ji-Liu ZHOU. \u201cRealization of Adaptive Image Enhancement with Variable Fractional Order Differential,\u201d Journal of Shenyang University of Technology, vol.34, no.4, pp. 446-454, 2012.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u9ec4\u679c, \u8bb8\u9ece, \u9648\u5e86\u5229, <strong>\u84b2\u4ea6\u975e<\/strong>. \u201c\u57fa\u4e8e\u7a7a\u95f4\u5206\u6570\u9636\u504f\u5fae\u5206\u65b9\u7a0b\u7684\u56fe\u50cf\u53bb\u566a\u6a21\u578b\u7814\u7a76,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5(\u5de5\u7a0b\u79d1\u5b66\u7248), vol.43, no.1, pp. 91-98, 2012. \uff08Guo HUANG, Li XU, Qing-Li CHEN, and Yi-Fei PU. \u201cResearch on Image Denoising Based on Space Fractional Partial Differential Equations,\u201d Journal of Sichuan University (Engineering Science Edition), vol.44, no.2, pp. 91-98, 2012.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u5468\u6fc0\u6d41, \u8881\u6653, \u5ed6\u79d1, <strong>\u84b2\u4ea6\u975e<\/strong>. \u201c\u4e00\u79cd\u53ef\u53d8\u9636\u6b21\u6a21\u62df\u5206\u6297\u7535\u8def\u7684\u5b9e\u73b0\u65b9\u6848,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5 (\u5de5\u7a0b\u79d1\u5b66\u7248), vol.39, no. 3, pp.141-144, 2007.\uff08Ji-Liu ZHOU, Xiao YUAN, Ke LIAO, and Yi-Fei PU. \u201cOne Method to Realize Alterable Order Analog Fractance Circuits,\u201d Journal of Sichuan University (Engineering Science Edition), vol.39, no. 3, pp.141-144, 2007.\uff09<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">\u9648\u5e86\u5229, \u9ec4\u679c, \u5b59\u9510, \u8212\u52c7, <strong>\u84b2\u4ea6\u975e<\/strong>, \u5468\u6fc0\u6d41. \u201c\u57fa\u4e8e\u89c6\u89c9\u7279\u6027\u7684Riemann-Liouville\u5206\u6570\u9636\u56fe\u50cf\u589e\u5f3a,\u201d \u56db\u5ddd\u5927\u5b66\u5b66\u62a5 (\u5de5\u7a0b\u79d1\u5b66\u7248), vol.44, no.1, pp. 99-105, 2012.\uff08Qing-Li CHEN, Guo HUANG, Rui SUN, Yong SHU, Yi-Fei PU, and Ji-Liu ZHOU. \u201cA Riemann-Liouville fractional differential image enhancement algorithm based on human visual characteristics,\u201d Journal of Sichuan University (Engineering Science Edition), Vol.44, No.1, pp. 99-105, 2012.\uff09<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n<h2 class=\"wp-block-heading has-text-align-center\">\u7b2c\u4e00\u4f5c\u8005\u53d1\u8868\u7684EI\u68c0\u7d22\u7684\u90e8\u5206\u5b66\u672f\u4f1a\u8bae\u8bba\u6587<\/h2>\r\n\r\n\r\n\r\n<ol>\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>. \u201cFractional Calculus Approach to Texture of Digital Image,\u201d in Proceedings of 8th IEEE International Conference on Signal Processing, Beijing, Oct. 2006, pp. 1002-1006.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>. \u201cImplement Any Fractional Order Multilayer Dynamic Associative Neural Network,\u201d in Proceedings of the 6th IEEE Conference on ASIC, Shanghai, Oct. 2005, pp. 635-638.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO, Ji-Liu ZHOU, Ni ZHANG, and Yi ZENG. \u201cA Recursive Net-Grid-Type Analog Fractance Circuit for Any Order Fractional Calculus,\u201d in Proceedings of the <strong>IEEE Conference on Mechatronics &amp; Automation<\/strong>, Niagara Falls, July. 2005, pp. 1375-1380.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO, Ni ZHANG, Yi ZENG, and Xiao-Xian PU. \u201cStructuring Analog Fractance Circuit for 1\/2 Order Fractional Calculus,\u201d in Proceedings of the 6th IEEE Conference on ASIC, Shanghai, Oct. 2005, pp. 1136-1139.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO, Ji-Liu ZHOU, Ni Zhang, Xiao-Xian PU, and Yi ZENG. \u201cA Recursive Two-Circuits Series Analog Fractance Circuit for Any Order Fractional Calculus,\u201d in Proceedings of the 20th Conference on SPIE, Changchun, August 2005, pp. 509-519.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO, Zhong-Lin CHEN, and Ji-Liu ZHOU. \u201cAn Efficient Fractional Order Wavelet-based Numerical Engineering Algorithms for Signal\u2019s Fractional Calculus,\u201d in Proceedings of 6th IEEE International Progress on Wavelet Analysis and Active Media Technology, Singapore, 2005, pp. 683-689.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO, Zhong-Lin CHEN, and Ji-Liu ZHOU. \u201cTheory and Efficient Numerical Algorithms for Signal\u2019s Fractional Calculus Based on Fractional Order Wavelet Transform,\u201d in Proceedings of 6th IEEE International Progress on Wavelet Analysis and Active Media Technology, Singapore, 2005, pp. 717-724.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ke LIAO, Ji-Liu ZHOU, Xiao-Xian PU, and Yi ZENG. \u201cThe Ascertainment of Scale Sampling Step for Numerical Realization Adopting Binary Pick Sampling of the Continuous Wavelet Transform,\u201d in Proceedings of the Third IEEE International Conference on Machine Learning and Cybernetics, Shanghai, August 2004, pp. 2063-2068.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO, and Ji-Liu ZHOU. \u201cA Public Adaptive Watermark Algorithm for Color Images based on Principal Component Analysis of Generalized Hebb,\u201d in Proceedings of the 2004 IEEE International Conference on Information Acquisition, Huangshan, June 2004, pp. 3412-3416.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO, and Ji-Liu ZHOU. \u201cThe Ascertainment of Scale Sampling Step for Numerical Realization Adopting Binary Dot-and-Grid Sampling of the Continuous Wavelet Transform,\u201d in Proceedings of IEEE International Symposium on Distributed Computing and Applications to Business, Engineering and Sciences, Wuhan, September 2004, pp. 921-925.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO, and Ji-Liu ZHOU. \u201cThe Ascertainment of Scale Sampling Step for Numerical Realization Adopting Even Dot-and-Grid Sampling of the Continuous Wavelet Transform,\u201d in Proceedings of the 2004 IEEE International Conference on Intelligent Mechatronics and Automation, Chengdu, August 2004, pp. 211-215.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ke LIAO, and Ji-Liu ZHOU. \u201cA Learning Algorithm of Multilayer Dynamics Associative Neural Network based on Generalized Hebb Rule,\u201d in Proceedings of the 2004 IEEE International Conference on Intelligent Mechatronics and Automation, Chengdu, August 2004, pp. 836-831.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO, and Ji-Liu ZHOU. \u201cThe Ascertainment of Scale Sampling Step for Numerical Realization of the Continuous Wavelet Transform,\u201d in Proceedings of the 2004 IEEE International Conference on Intelligent Mechatronics and Automation, Chengdu, August 2004, pp. 842-846.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\"><strong>Yi-Fei PU<\/strong>, Ke LIAO, Ji-Liu ZHOU, and Ni ZHANG. \u201cAn Adaptive Inspection-method for Technical Welding Seam based on PCA Algorithm and the Modification of BP ANN,\u201din Proceedings of the Third IEEE International Conference on Machine Learning and Cybernetics, Shanghai, August 2004, pp. 3412-3416.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n<h2 class=\"wp-block-heading has-text-align-center\">\u975e\u7b2c\u4e00\u4f5c\u8005\u53d1\u8868\u7684EI\u68c0\u7d22\u7684\u90e8\u5206\u5b66\u672f\u4f1a\u8bae\u8bba\u6587<\/h2>\r\n\r\n\r\n\r\n<ol>\r\n<li class=\"has-medium-font-size\">Yi ZHANG, <strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201cTwo new nonlinear PDE image inpainting models,\u201d in the Proceedings of CSEEE 2011, pp. 341-347, 2011.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi-Yang WANG, <strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201c1\/2 order fractional differential tree type circuit of digital image,\u201d in the Proceedings of the 1st IEEE International Congress on Image and Signal Processing, vol.3, pp. 331-334, 2008.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Yi ZHANG, <strong>Yi-Fei PU<\/strong>, and Ji-Liu ZHOU. \u201cFast X-Ray CT metal artifacts reduction based on noniterative sinogram inpainting,\u201d in the Proceedings of 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, pp. 2462-2464, 2011.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ji-Liu ZHOU, <strong>Yi-Fei PU<\/strong>, Ke LIAO. \u201cAny fractional order bionic neural-type pulse oscillator,\u201d in Proceedings of 1st IEEE International Symposium on Systems and Control in Aerospace and Astronautics, 2005, pp. 916-919.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ji-Liu ZHOU, <strong>Yi-Fei PU<\/strong>, Xiao YUAN, Ke LIAO. \u201cAny fractional order H type analog fractance circuit,\u201d in Proceedings of 6th IEEE International Conference on ASIC, October 2005, pp. 1074-1077.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ke LIAO, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU. \u201cAn adaptive inspection-method for technical welding seam based on ISOMAP algorithm and the modification of BP ANN,\u201d in Proceedings of 2004 IEEE International Conference on Information Acquisition, 2004, pp. 351-354.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ke LIAO, Xiao YUAN, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU. \u201cFractional order digital differentiators design using exponential basis function neural network,\u201d in Proceedings of 3rd IEEE International Symposium on Neural Networks, May 2006, pp. 735-740.<\/li>\r\n\r\n\r\n\r\n<li class=\"has-medium-font-size\">Ke LIAO, Xiao YUAN, <strong>Yi-Fei PU<\/strong>, Ji-Liu ZHOU. \u201cFractance analog realization using one order Newton method,\u201d in Proceedings of the 2005 IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005, pp. 1127-1130.<\/li>\r\n<\/ol>\r\n","protected":false},"excerpt":{"rendered":"<p>\u84b2\u4ea6\u975e\u7684\u535a\u58eb\u5b66\u4f4d\u8bba\u6587 &nbsp; \u7b2c\u4e00\u4f5c\u8005\u53d1\u8868\u7684SCI\u68c0\u7d22\u7684\u90e8\u5206\u671f\u520a\u8bba\u6587 &nbsp; \u975e\u7b2c\u4e00\u4f5c\u8005\/\u901a\u4fe1\u4f5c\u8005&#8230; &raquo; <a class=\"read-more-link\" 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