基本信息
姓名：王访
职称：教授
电子信箱：fwang4@xtu.edu.cn
办公室：数学楼B523
个人简介
王访，男，加拿大新布伦瑞克大学博士后，博士生导师。中国现场统计研究会多元分析分会常务理事，CSIAM大数据与人工智能专业委员会理事，湖南省数学会理事，湖南省青年骨干教师培养对象，湘潭大学韶峰学者。
主讲课程
高级时间序列分析（研究生），统计学基础（研究生）
概率论与数理统计（本科生）
研究方向
研究兴趣包括复杂系统建模，分形、非线性时间序列分析，复杂网络分析，及其在环境数据和高光谱图像处理上的应用。
嘤其鸣矣，求其友声！欢迎同行学者交流访问。
招生
招收统计学博士（后）研究生，统计学（学术型）、应用统计（专业型）硕士研究生。欢迎数学、统计学、信息科学、数据科学与大数据技术等相关专业热爱数学建模、复杂数据处理的同学报考。
目前团队有20名博士生、硕士生，大家怀揣共同梦想，每周1-2次组会，学习氛围浓厚，期待你的加入，期待我们共同在复杂科学的海洋里徜徉。
科研项目
l 国家自然科学基金面上项目，基于像元可视图和像元可视图网络的高光谱图像分类方法研究，2025.01-2028.12。
l 湖南省教育厅重点项目，基于多层网络与分形方法的成像光谱信息处理关键技术研究，2022.09-2025.09。
l 湘潭大学科研启动项目，复杂系统重分形分析与网络建模，2022.03-2025.03。
l 国家自然科学基金面上项目，非平稳信号的重分形分析及其在高光谱数据处理中的应用研究，2020.01-2023.12。
l 湖南省自然科学基金面上项目，非平稳信号的重分形分析及应用研究，2020.01-2022.12。
l 湖南省哲学、社会科学基金项目，多重分形视角下的湖南省城市群空气质量指数序列统计特征研究，2019.01-2021.12。
l 国家自然科学基金青年项目，基于角果多重形分析的油菜氮素营养诊断建模，2016.01-2018.12。
l 湖南省统计局项目，基于多重分形理论的长株潭空气质量相互影响机制研究，2017.1-2017.12
l 湖南省哲学、社会科学基金项目，基于多重分形理论的分时段电价时间序列统计特征研究，2016.01-2018.12。
l 湖南省科技重点研发项目，基于角果图像多重分形特征的油菜营养诊断建模，2015.01-2016.12
代表作
[46] Zou C, Wang F, Wu J, et al. Rapid rapeseed identification with dual-graph discriminant analysis in hyperspectral imaging. Chemom Intell Lab Syst, 2026, 277: 105813.
[45] Wang F, Wei K, Zhang Z, et al. Memory-dependent coevolution: A non- Markovian paradigm for behavior-disease dynamics. The Innovation Informatics, 2026, 2:100046.
[44] Wang X, Li Y, Han G, Wang F, Adaptive multifractal correlation analyses and its variants for classification of complex image. Phys A, 2026: 131624.
[43] Zeng L, Zhang T, Wang F, et al., Geospatial elements as a supervision-like mechanism Spatial-Neighborhood Preserving Projection for hyperspectral classification, Infrared Phys Techn, 2026, 155: 106517.
[42] Xia W, Wang F. High-dimensional sample entropy for uncovering rich complex structures in data. Chaos Soliton Fract, 2026, 208: 118076.
[41] Zhang Z, Wei K X, Wang F, et al. Game-theoretic behavioral adaptation in non-Markovian epidemic spreading on networks. Chaos Soliton Fract, 2026, 207: 118015.
[40] Tan B, Wang F, Yu Z G. Autoregressive random matrix theory based on the q-dependent detrended cross-correlation coefficient. Commun Nonlinear Sci, 2026: 109782.
[39] Zhao Z, Wang F. LWE-KNN-based quantification of traffic flow fluctuation patterns in multi-scenario traffic monitoring, Safety Sci, 2025, 195,107073.
[38] Zhang Z, Zhu K, Wang F, Liu L, Wang L. Effects of isolation and information dissemination on epidemic dynamics in multiplex networks. Chaos Soliton Fract, 2025, 19: 116889.
[37] Zhang T, Wang F, Zeng L. Global-local spatially aware preserving projection for dimensionality reduction of hyperspectral images. Infrared Phys Techn, 2025: 106014.
[36] Tan B, Wang F, Yu Z G. Multiscale temporal weighted coupling correlation detrended analysis for multivariate nonstationary series. Chaos, 2025, 35(5): 053156
[35]Zhang Z, Zhu K, Wang F. Indirect information propagation model with time-delay effect on multiplex networks. Chaos Soliton Fract, 2025, 192:115936.
[34]Wang F, Zhang Z, Wang M, Ling G. Detrended partial cross-correlation analysis-random matrix theory for denoising network construction. Appl Intell, 2025, 55(1): 16.
[33]Huang B, Wang F, Chen H, et al. Evolutionary complex network for uncovering rich structure of series. Eur Phys J Plus, 2024, 139(12): 1117.
[32]Zou C, Zhu X, Wang F, et al. Rapeseed Seed Coat Color Classification Based on the Visibility Graph Algorithm and Hyperspectral Technique. Agronomy, 2024, 14(5), 941.
[31]Wang F, Han G. Coupling correlation adaptive detrended analysis for multiple nonstationary series. Chaos Soliton Fract, 2023, 177, 114295.
[30]Wang F, Han G, Fan Q. Statistical test for detrending-moving- average-based multivariate regression model. Appl Math Model, 2023, 124: 661-677.
[29]Wang F, Chen Y. Detrending-moving-average-based multivariate regression model for nonstationary series. Phys Rev E, 2022, 105(5): 054129.
[28]Zhang Z, Wang F, Shen L, et al. Multiscale time-lagged correlation networks for detecting air pollution interaction. Phys A, 2022: 127627.
[27]Liu F, Wang F, Wang X, et al. Rapeseed Variety Recognition Based on Hyperspectral Feature Fusion. Agronomy, 2022, 12(10): 2350.
[26]He S, Zhou Q, Wang F, Local wavelet packet decomposition of soil hyperspectral for SOM estimation. Infrared Phys Tech, 2022, 125: 104285.
[25]Wang F, Wang L, Chen Y, Multi-affine visible height correlation analysis for revealing rich structures of fractal time series. Chaos Soliton Fract, 2022, 157: 111893.
[24]Li J, Li Q, Wang F, et al. Hyperspectral redundancy detection and modeling with local Hurst exponent. Phys A, 2022, 592: 126830.
[23] Wang F, Xu J, Fan Q, Statistical properties of the detrended multiple cross-correlation coefficient. Commun Nonlinear Sci, 2021, 99: 105781.
[22]Wang F, Fan Q, Coupling correlation detrended analysis for multiple nonstationary series. Commun Nonlinear Sci, 2021, 94: 105579.
[21]Fan Q, Wang F, Detrending-moving-average-based bivariate regression estimator. Phys Rev E, 2020, 102(1): 012218.
[20]Wang F, Zhao W, Jiang S, Detecting asynchrony of two series using multiscale cross-trend sample entropy. Nonlinear Dynam, 2020, 99(2): 1451-1465.
[19]Wang F, Wang L, Chen Y, Lagged multi-affine height correlation analysis for exploring lagged correlations in complex systems. Chaos, 2018, 28(6): 061102.
[18]Wang F, Wang L, Chen Y, A DFA-based bivariate regression model forestimating the dependence of PM2.5 amongneighbouring cities.Sci Rep, 2018, 8.
[17]Jiang S, Wang F, Shen L, et al. Local detrended fluctuation analysis for spectral red-edge parameters extraction. Nonlinear Dynam, 2018: 1-14.
[16]Wang F, Wang L, Chen Y, Quantifying the range of cross- correlated fluctuations using a q-Ldependent AHXA coefficient, Phys A, 2018, 494, 454–464.
[15]Wang F, Fan Q, Wang K, Asymmetric multiscale multifractal detrended cross-correlation analysis for the 1999–2000 California electricity market, Nonlinear Dynam, 2018, 91:1527–1540.
[14]Wang F, Wang L, Chen Y,Detecting PM2.5’s Correlations between Neighboring Cities Using a Time-Lagged Cross-Correlation Coefficient. Sci Rep, 2017, 7: 10109.
[13]Jiang S, Wang F, Shen L, et al. Extracting sensitive spectrum bands of rapeseed using multiscale multifractal detrended fluctuation analysis. J Appl Phys, 121, 104702 (2017).
[12]Wang F, A novel coefficient for detecting and quantifying asymmetry of California electricity market based on asymmetric detrended cross-correlation analysis. Chaos, 2016, 26, 002606.
[11]Wang F, Fan Q, Stanley H, Multiscale multifractal detrended- fluctuation analysis of two-dimensional surfaces. Phys Rev E, 2016, 93(4): 042213.
[10]Wang F, Yang Z, Wang L, Detecting and quantifying cross-correlations by analogous multifractal height cross-correlation analysis. Phys A, 444, 2016, 954–962.
[9]Yu Y, Wang F, Liu L, Magnetic Resonance Image Segmentation Using Multifractal Techniques. Appl Surf Sci, 356, 2015, 266-272.
[8]Shi W, Zou R, Wang F, et al. A new image segmentation method based on multifractal detrended moving average analysis. Phys A, 2015, 432: 197-205.
[7]Wang F, Liao D, Li J, et al. Two-Dimensional Multifractal Detrended Fluctuation Analysis for Plant Identification. Plant Methods, 2015, 11(1):12.
[6]Wang F, Li Z and Li J, Local Multifractal Detrended Fluctuation Analysis for Non-stationary Image's Texture Segmentation. Appl Surf Sci, 2014, 322, 116-125.
[5]Wang F, Wang L, Zou R, Multifractal Detrended Moving Average Analysis for Texture Representation. Chaos, 2014, 24(3): 033127.
[4]Wang F, Li J, Shi W, et al. Leaf image segmentation method based on multifractal detrended fluctuation analysis. J Appl Phys, 2013, 114(21):214905.
[3]Wang F, Liao G, Li J, et al. Multifractal detrended fluctuation analysis for clustering structures of electricity price periods. Phys A, 2013, 392(22):5723-5734.
[2]Wang F, Liao G, Li J, et al. Cross-correlation detection and analysis for California's electricity market based on analogous multifractal analysis. Chaos, 2013, 23(1):013129.
[1]Wang F, Liao G, Zhou X, et al. Multifractal detrended cross- correlation analysis for power markets. Nonlinear dynam, 2013, 72(1-2): 353-363.
获奖与荣誉
l 2010-2023 指导大学生、研究生参加数学建模、统计建模竞赛获得国际、国家、省级奖励30余项
l 2021.9 湖南省大学生数学建模竞赛优秀指导老师
l 2020.11 全国农业教育优秀教材奖
l 2017.2湖南省自然科学二等奖，排名第2
l 2016.9 湖南省普通高校青年骨干教师培养对象
l 2016.7 湖南省教育系统优秀共产党员
l 2016.7 湖南省教学成果三等奖，排名第5
l 2009.11 湖南省普通高校青年教学能手
指导大学生、研究生
l 国家级大学生创新创业训练计划项目：湖南省电力市场电价时间序列的统计特征研究（刘文妮等），2014-2016.
l 湖南省研究生创新项目：
l （1）基于多尺度样本熵的湖南省空气质量指数动力特征分析（赵文成等），2019-2020.
l （2）多层复杂网络上的信息传播动力学研究（张泽辉等），2024-2026.
l （3）多元非线性时间序列耦合相关的重分形分析（谭蓓等），2024-2026.
l （4）基于张量熵与复杂网络耦合建模的多元时序聚类（夏文鑫等），2025-2027.
l 国家奖学金获得者：姜珊（2015级硕士）、赵文成（2017级硕士）、张泽辉（2020级硕士）、黄彬（2022级硕士）、张泽辉（2023级博士）
l 湖南省优秀毕业生：姜珊（2015级硕士）、赵文成（2017级硕士）、张泽辉（2020级硕士）
l 校长奖学金获得者：张泽辉（2023级博士）
