第一作者论文： [1] Liang Jiuzhen, Li Min, Liao Cuicui, Efficient numerical schemes for Chan-Vese active contour models in image segmentation, Multimedia Tools and Applications, 2018,77(13):16661-16684, DOI: 10.1007/s11042-017-5232-6(III SCI) [2] Liang Jiuzhen,Chen Chen, Yunfei Yi, Xu Xiuxiu, Bilateral two-dimensional neighborhood preserving discriminant embedding method for face recognition, IEEE Access, Digital Object Identifier 10.1109/ACCESS.2017.2741223 (III SCI), 2017, 5(1): 17201-17212 [3] 梁久祯，顾程熙，常兴治，基于相似矩阵的纺织品瑕疵检测，模式识别与人工智能, 2017, 30(5): 456-464. [4] Liang Jiuzhen, Hou Zhenjie, Chen Chen, Xu Xiuxiu, Supervised bilateral two-dimensional locality preserving projection algorithm based on Gabor Wavelet, Signal Image and Video Processing, 2016,10(8):1141-1148(IV SCI) DOI: 10.1007/s11760-016-0950-1 [5] 梁久祯，朱向军，基于手机加速度传感器的高精低采样计步算法设计, 西北大学学报，2015, 45(5)：738-744 [6] 梁久祯，李军飞，基于Steiner点的移动传感网络汇聚节点选址，西北大学学报，2015, 45(2)： 207-212 [7] Liang,Jiuzhen Gu Yudi, Di Lan, Wu Qin, Image coverage segmentation based on soft boundary, JRS2014, C. Cornelis et al. (eds.): RSCTC 2014, LNAI 8536, pp. 374–381, 2014. Springer International Publishing Switzerland 2014(EI) [8] Liang Jiuzhen, Wang Dejiang, Implementation Steiner Points of Fuzzy Sets, The Scientific World Journal Volume 2014 (2014), Article ID 593065, 8 pages(SCIE) [9] Liang Jiuzhen, Wang Mei, Chai Zhilei, Wu Qin, Different lighting processing methods and feature extraction methods for the effect of face recognition, IET Image Processing, Volume 8, Issue 9, September 2014, p. 528 – 538(IV SCIE) [10] Liang Jiuzhen, Song Wei, Clustering Based on Steiner Points, International Journal of Machine Learning and Cybernetics, Volume 3, Number 2 (2012), 141-148, DOI: 10.1007/ s13042-011-0047-7(IV SCIE) [11] Liang Jiuzhen, Song Wei, Wang Mei, Stock Price Prediction Based on Procedural Neural Networks, Advances in Artificial Neural Systems, vol. 2011, Article ID 814769, 11 pages, 2011. doi:10.1155/2011/814769 [12] Jiuzhen Liang, Mirko Navara and Thomas Vetterlein. Different representations of fuzzy vectors, ECSQARU 2009. LNCS 5590, pp700-711(EI:93512277368 ) [13] Liang Jiuzhen, Navara, Mirko, Technical Aspects of the Use of Steiner Point of Fuzzy set, FSTP 2008, Ninth International Conference on Fuzzy Set Theory and Applications, Liptovský Ján, Slovak Republic, February 4 - 8, 2008, plenary talk,pp14-15 [14] Liang Jiuzhen, Support Functional Machines, 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'07) 16th-19th December, 2007, Birmingham, UK,pp 1-9, LNCS4881, Springer Berlin / Heidelberg(EI: 20080511068516) [15] Liang Jiuzhen, Li Guangbin, Hierarchical Clustering Algorithm Based on Granularity, GrC07, Silicon Valley, California, USA, Nov.2-4,2007.pp429-432(EI) [16] Liang Jiuzhen, Navara Mirko, Implementation of Calculating Steiner Point for 2D Objects, ISKE07. Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering, Chengdu, 15-16 October 2007.pp1592-1598 [17] Liang Jiuzhen, Zhu Chunlan, Procedure Neural Networks Based on Statistical Features. Third International Conference on Natural Computation (ICNC 2007). Haikou, China August 25 – 27, 2007. Vol I pp. 422-425 [18] Liang Jiuzhen, Wu Xiaohong, Worm Harm Forecast Based on Segment Procedure Neural Network. First International Conference, RSKT2006, Chongqing, China, July 2006 Proceedings, LNAI4062, Springer, pp383-388 (SCI ,EI063210053352) (SCIE) [19] 梁久祯，分段式过程神经元网络，模式识别与人工智能，2006 19(3)：295-299 [20] Liang Jiuzhen, Jiang Hong, BP Learning And Numerical Algorithm of Dynamic Systems, The 18th Australian Joint Conference on Artificial Intelligence, UTS, Sydney, Australia 5-9 December 2005. Jiuzhen Liang, Hong Jiang, BP Learning and Numerical Algorithm of Dynamic Systems, LNAI3809, Nov 2005, pp 914 – 917(SCIE) [21] Liang Jiuzhen, Han Jianmin, Complex number procedure neural networks. The First International Conference on Natural Computation, Changsha, China, August 2005, Proceedings, Part I, pp336-339, Springer, LNCS3610.ISSN:0302-9743(SCIE) [22] Liang Jiuzhen, Gao Jianghua, Kernel Function Clustering Algorithm with Optimized Parameters. The Forth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-22 August 2005 (ICMLC2005), IEEE 05EX1059, Vol.7, pp4400-4404. ISBN:0-7803-9091-1 [23] Liang Jiuzhen, Functional Procedure Neural Network.(4th International Conference on Engineering Applications and Computational Algorithms, Guelph, Ontario, Canada, July 27-29, 2005, pp27-31) Dynamic of Continuous Discrete and Impulsive Systems-Series B-Applications & Algorithms 1: 27-31 Sp. Iss. SI, 2005(SCIE) [24] Liang Jiuzhen, Wu Xiaohong, Segment Procedure Neural Networks. IEEE International Conference on Granular Computing, Beijing, China, July25-27, 2005, pp526-529. IEEE 05EX1036, ISBN:0-7803-9017-2(EI,ISTP) [25] Liang Jiuzhen, Wang Jiyi, Xu Xiubin, K-Means Clustering Algorithm in Kernel Function Space. Progress in Intelligent Computation and Its Applications, Wuhan, China, 2005.04, pp642-646 [26] 梁久祯，网页文本分类中特征压缩对分类器性能的影响，计算机科学2005第32卷 第8.A 期158-160 [27] 梁久祯，核函数参数优化的聚类算法,仪器仪表学报，2005 Vol.26 No.8 P.1558-1560(EI) [28] 梁久祯，有理式二阶前向型神经网络，通讯和计算机，2004.12, ISSN1548-7709, 49-52 [29] 梁久祯，有理式二阶前向型神经网络，人工神经网络与自然计算研究进展－第14届中国神经网络会议论文集，CNNC2004，2004.10, 合肥: 合肥工业大学出版社，81-85. [30] 梁久祯，王基一，Rough集属性约简在网页关键词特征压缩中的应用，CRSSC2004，2004.10，浙江 舟山，计算机科学 第31卷 第10.A 期，51-52 [31] 梁久祯，贾泂, 粒度计算与信息检索模型，CRSSC2004，2004.10，浙江 舟山，计算机科学 第31卷 第10.A 期，172-173 [32] 梁久祯，类间独立分布的Bayes分类器及其在Web分类中的应用，2004年全国理论计算机科学学术年会，2004.10，武汉，计算机科学 第31卷10月增刊，180-182 [33] Liang Jiuzhen, SVM Multi-Classifier and Web Document Classification, Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29 August 2004 (ICMLC2004), pp1347-1351 [34] Liang Jiuzhen, On Chinese Web Page Classification, ICAISC 2004, Seventh International Conference Artificial Intelligence and Soft Computing, Zakopane, Poland, June 7-11, 2004, The International Neural Network Society Technology. Springer Press, pp634-639(SCIE) [35] 梁久祯，何新贵，有理式多层前馈神经网络，控制与决策, 2004, Vol.19(3): 349-354 [36] Liang Jiuzhen, Svm Based Chinese Web Page Automatic Classification, Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5 November 2003, pp2265-2268. [37] Liang Jiuzhen, Chinese Web Page Classification Based on Self-Organizing Mapping Neural Networks, 15th International Conference on Computational Intelligence and Multimedia Applications, 2003, Xi’an, China, 27~30 September 2003, pp96-101 [38] 梁久祯, 自适应加速Bayes方法在文本分类中的应用, 青岛大学学报,2003.8.4~6 [39] 梁久祯, 基于内容的中文网页自动分类系统, 计算机科学, 2003, vol.30(5)专刊，120-123. [40] Liang Jiuzhen, Chinese Web Page Automatic Classification Based On SVM, 计算机科学, 2003, vol.30(5)专刊，158-159. [41] Liang Jiuzhen, Chinese Web Page Classification Based On Text Contents. 5th International symposium on Test and Measurement, ISTM2003, Shenzhen, China, pp4733-4736 [42] 梁久祯, 兰东俊, 扈旻, 基于先验知识的网页文本特征压缩与线性分类器设计，第十二届中国神经网络学术会议，北京，2002.12 ：374~379 [43] 梁久祯，赵明生，反馈型过程神经网络及其稳定性分析, 第十二届中国神经网络学术会议，.北京，2002.12 ：494~501 [44] 梁久祯, 赵建民, 模糊算子神经网络的函数逼近能力, 第七届人工智能联合学术会议论文特刊2002，广西师范大学学报2003，21(1):18-22 [45] Liang Jiuzhen, Zhou Jiaqing, He Xingui, Procedure Neural Networks With Supervised Learning, 9th International Conference on Neural Information Processing (ICONIP’02), 2002.11, Singapore, 523~527 [46] Liang Jiuzhen, Zhao Mingsheng, Feedback Procedure Neural Networks and Its Training. Proceedings of the first international conference on machine learning and cybernetics, Beijing, 4-5 November 2002,pp101-106 [47] 梁久祯，何新贵，周家庆，神经网络BP学习算法动力学分析，自动化学报, 2002, 28(5): 729-735.(EI) [48] 梁久祯，何新贵，黄德双，关于单体模糊神经网络感知机收敛定理的讨论，电子学报，2002，30(3): 407~409 [49] 梁久祯，何新贵，模糊推理神经网络的函数逼近能力，系统工程与电子技术，2002, 24(2): 99~102 [50] 梁久祯，何新贵，模糊神经元及其计算能力研究，北京航空航天大学学报，2001, 27(5): 589~592(EI) [51] 梁久祯，何新贵，模糊极大极小算子神经元网络的图灵等价性，北京航空航天大学学报，2001,27(4):421~424(EI) [52] 梁久祯，许少华，模糊神经元网络的一般模型，大庆石油学院学报，2000，24(4): 60~63 [53] 梁久祯，何新贵，黄德双，前馈神经网络的一种简单共轭梯度学习算法，北京航空航天大学学报，2000，26(5)：596~599(EI) [54] 梁久祯，何新贵，单体模糊神经网络的函数逼近能力，计算机研究与发展，2000，37(9)：1045～1049 (EI) [55] 梁久祯，何新贵，黄德双，前馈网络的一种超线性收敛BP学习算法，软件学报，2000, 11(8)：1094~1096(EI) [56] 梁久祯，黄德双，何新贵，多输入单输出前馈神经网络映射机理研究，1999年中国神经网络与信号处理学术会议(N2&SP’99): 173~177 [57] 梁久祯，黄德双，何新贵，前馈网的一种梯度—牛顿结合BP算法，1999年中国神经网络与信号处理学术会议(N2&SP’99): 209~214 [58] 梁久祯，黄德双，何新贵，前馈神经网络的一种梯度-牛顿耦合学习算法，1999年中国神经网络与信号处理学术会议(N2&SP’99): 215~220 [59] Liang Jiuzhen, He Xin-gui, and Huang Deshuang, Gradient-Newton Algorithm for Feedforward Neural Networks. Proceedings of the International Conference on Parallel and Distributed Proceeding Techniques and Applications, Vol.VI, Editor: H.R.Arabnia, Las Vegas, Nevada, USA. CSREA Press. June 28-July 1,1999:pp2870~2874 [60] Liang Jiuzhen, Qiu Shenshan, Liu Mingzhu, The stability of θ-methods for pantograph delay differential equations. Numerical Mathematics A Journal of Chinese Universities English Series. 1996, 5(1): 80-85 [61] 梁久祯，刘明珠，缩放延迟微分方程θ-方法稳定性，数值计算与计算机应用，1996, 17(4): 271~278 [62] 梁久祯，刘明珠，缩放延迟系统数值解稳定性, 哈尔滨工业大学学报，1996，28(2): 21~26 [63] 梁久祯，邱深山，刘明珠，求解中立型延迟系统的θ-方法稳定性, 大庆石油学院学报, 1996, 20(1): 100~103 [64] 梁久祯，邱深山，陈仁华, 变延迟微分方程数值解稳定性，大庆石油学院学报，1995，19(2): 124~126 责任作者论文： [1] Fan Jingyan, Liang Jiuzhen, Liu Hao, Robust facial landmark detection by probability-guided hourglass network, IET Image Processing, Major revised, 2022.09.08 , IPR-2022-05-0262.R1, Minor revise 20230310, accepted 2023.3.31 DOI: 10.1049/ipr2.12812, online 2023.4.18 [2] Fan Jingyan , Liang Jiuzhen, Robust face alignment via adaptive attention-based graph convolutional network, Neural Computation and Application, 2022.8.25 Major Revision, accepted 2023.3.22, on line 2023.4.8 doi: 10.1007/s00521-023-08531-y [3] Cheng Wei, Jiuzhen Liang, Hao Liu, Zhenjie Hou, Zhan Huan, Multi-stage Unsupervised Fabric Defect Detection Based on DCGAN, The Visual computer, online 2022,12,25, DOI:10.1007/s00371-022-02754-1 [4] Cheng Haoming, Liang Jiuzhen, Liu Hao,Image restoration fabric defect detection based on the dual generative adversarial network patch model, Textile Research Journal, DOI: 10.1177/00405175221144777, online, 2022.12.16 [5] Huanjie He, Jiuzhen Liang*, Zhenjie Hou, Yunfei Xia, Lan Di, Zhan Huan, Multi-pose face reconstruction and Gabor occlusion dictionary learning for face recognition, Applied Intelligence, DOI：10.1007/s10489-022-04336-z, online, 2022.12.14 [6] Jie Ni, Xiao-Long Cheng, Tong-guang Ni, Jiu-zhen Liang, Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition, Frontiers in Molecular Biosciences, https://doi.org/10.3389/fmolb.2022.1009099.(II SCI) [7] Zhang Chengyu, Liang Jiuzhen*, Li Xing, Xia Yunfei, Di Lan, Hou Zhenjie, Huan Zhan, Human motion recognition based on enhanced data guidance and key node spatiotemporal convolution , Multimedia Tools and Applications, 2022, 81(6):8349-8366, DOI10.1007/s11042-022-11947-8 (III SCI) [8] Bao Xiangyang, Liang Jiuzhen*, Xia Yunfei, Zhenjie Hou, Zhan Huan, Fabric defect detection based on Low-rank decomposition model with defect prior and total variation regular term. The Visual Computer. 2022, 38 (8):2707-2721, DOI: 10.1007/s00371-021-02148-9(III SCI) [9] Shilin Lv, Jiuzhen Liang*, Lan Di,, Chen Chen, Zhenjie, Hou, A Probabilistic Collaborative Dictionary Learning Based Approach for Face Recognition, IET Image Processing, 2021;15(4):868–884. DOI: 10.1049/ipr2.12068. (III SCI) [10] Boshan Shi, Jiuzhen Liang*, Lan Di, Chen Chen, Zhenjie Hou, Fabric defect detection via low-rank decomposition with gradient information and structured graph algorithm, Information Sciences, v546, p608-626, 6 February 2021; ISSN: 00200255; DOI: 10.1016/j.ins.2020.08.100; Publisher: Elsevier Inc.(I SCI) [11] Zhang Zhi, Xu Xin, Liang Jiuzhen*, Sun Bingyu, Unconstrained Face Identification based on 3D Face Frontalization and Support Vector Guided Dictionary Learning, Mathematical Problems in Engineering, Volume 2020, Article ID 8817571, 16 pages. https://doi.org/10.1155/2020/8817571. (IV SCI) [12] Lan Di, Hanbin Long, Jiuzhen Liang*, Fabric Defect Detection Based on Illumination Correction And Visual Salient Features, Sensors 2020, 20, 5147; doi:10.3390/s20185147. (II SCI) [13] Xuan Ji, Jiuzhen Liang*, Lan Di, Yunfei Xia, Zhenjie Hou, Zhan Huan, Yuxi Huan, Fabric defect detection via weighted low-rank decomposition and Laplacian regularization, Journal of Engineered Fibers and Fabrics, DOI: 10.1177/1558925020957654, 2020, 15(9): 1884-2021 (IV SCI) ISSN: 1558-9250 [14] Liu Wei, Chang Xingzhi, Liang Jiuzhen, Fabric defect detection based on template correction and primitive decomposition, IET Image Processing,(IV SCI, CCF C) DOI: 10.1049/iet-ipr. 2018. 6626, Print ISSN 1751-9659, Online ISSN 1751-9667, Volume 13, Issue 14, 12 December 2019, p. 2916 – 2928 [15] Boshan Shi, Jiuzhen Liang, Lan Di, Chen Chen, Zhenjie Hou, Fabric defect detection via Low-rank decomposition with Gradient information, IEEE ACCESS, 2019, 7(1): 130423 - 130437, Digital Object Identifier: 10.1109/ACCESS.2019.2939843(II SCI) [16] Xin Xu, Jiuzhen Liang, Chen Chen, Zhenjie Hou, Weighted Similarity and Distance Metric Learning for Unconstrained face verification with 3D frontalization, IET Image Processing, 2019,13(2): 399-408 DOI: 10.1049/iet-ipr.2018.6327(IV SCI, CCF C) [17] 纪旋，梁久祯，侯振杰，常兴治，刘威，基于模板校正与低秩分解的纺织品瑕疵检测方法，模式识别与人工智能，2019,32(3): 268-277 [18] 王诗钧，印佳奇，徐靖峰，李振，梁久祯，一种车牌快速矫正算法，常州大学学报，2018,30(4):76-86 [19] 徐昕，梁久祯，基于三维矫正和相似性学习的无约束人脸验证，计算机应用, 2018, 38(10): 2788-2793, 2860, doi:10.11772/ j.issn.1001-9081.2018041068 [20] 常同伟, 梁久祯, 吴秦等. 基于HEVC的车辆异常事件检测*[J]. 数据采集与处理, 2018, (2):370-378 [21] Chang xingzhi, Gu Chengxi, Liang Jiuzhen*, Xu Xin, Fabric defect detection based on pattern template correction, Mathematical Problems in Engineering, vol. 2018, Article ID 3709821, 17 pages, 2018. doi:10.1155/2018/3709821.(IV SCIE) [22] 刘威, 常兴治, 梁久祯*, 贾靓, 顾程熙. 基于局部最优分析的纺织品瑕疵检测方法[J]. 模式识别与人工智能, 2018, 31(2): 182-189. [23] Li, Wenjing, Liang, Jiuzhen*. Adaptive face representation via class-specific and intra-class variation dictionaries for recognition. Multimedia Tools and Applications, 2018, 77(12), 14783-14802 (III SCI) [24] Jia Liang, Liang Jiuzhen*, Fabric Defect Inspection Based on Lattice Segmentation, Journal of The Franklin Institute, online, https://doi.org/10.1016/j.jfranklin.2017.05.035 Journal of the Franklin Institute, v 354, n 13, p 5694-5738, September 2017 (II SCI) [25] Jia Liang, Chen Chen, Liang Jiuzhen*, Hou Zhenjie, Fabric Defect Inspection Based on Lattice Segmentation Assisted by Gabor Filters, Neurocomputing, 238(2017):83-102(II SCI) DOI: 10.1016/j.neucom.2017.01.039 [26] 顾雨迪, 梁久祯*, 吴秦, 李敏, 基于覆盖分割和活动轮廓模型的图像边缘提取算法[J].数据采集与处理,2017,32(5):948-957 [27] 方盛，梁久祯*，贾靓，侯振杰，许艳，基于图像森林变换的灰度目标周长估算[J]. 智能系统学报， 2017, 12(3): 341-347. [28] Liang Jia, Jiuzhen Liang*, Digital Contour Segmentation Based on Statistical Straightness, International Journal of Signal Processing, Image Processing and Pattern Recognition. Vol.9, No.8 (2016), pp.295-310 http://dx.doi.org/10.14257/ijsip.2016.9.8.26 (EI) [29] 仇杰，梁久祯*，基于FPC和区间编码的工业浮点数据的压缩传输，计算机工程与应用，网络出版，网络出版时间：2015-07-03 16:11 [30] 王培斌，梁久祯*，吴秦，仇杰，工字轮收线机排线换向控制建模及仿真分析，自动化仪表，2016,37(8):69-74,83 [31] 廖翠萃，李敏，梁久祯*，吴秦，一种活动轮廓模型半隐式数值求解方法，小型微型计算机系统，2016,36(8):1862-1867 [32] 王革超，梁久祯*，陈璟，朱向军， 加速度差分有限状态机计步算法，计算机科学与探索，2016 Vol. 10 (8): 1133-1142 [33] 牛志国，梁久祯*，吴秦，基于块划分的HEVC的运动目标分割方法，计算机工程与应用， 2016,26(14):202-208 [34] 李军飞，梁久祯*，移动传感网络汇聚节点动态选址，计算机应用研究，2016,33(5):1453-1456 [35] 周琪，吴秦，梁久祯*，自适应图像粒的目标对象边界周长估算，计算机工程，2016, 42(4): 235-241 [36] 许洁，梁久祯*，吴秦，李敏，核典型相关分析特征融合方法及应用，计算机科学，2016，43(1)：40-43 [37] 柴先涛，梁久祯*，全仿射曲线曲率尺度空间图像配准，计算机科学，2016,43(1)：53-56,84 [38] 周琪，吴秦，梁久祯*，基于图像粒的目标边界周长估算，计算机仿真，2015,32(11):264-269 [39] 王培斌，梁久祯*，工字轮收线机绕线建模与仿真分析，计算机仿真，2015,32(11):238-244 [40] 黄彦姣，吴秦，梁久祯*，基于增强约束条件随机场的Web对象信息抽取，计算机工程与应用，2015, 51(23):143-148 [41] 蒋小波，梁久祯，基于BFGS计算力场的GVFSnake模型及其应用实现，计算机系统应用，2015, 24(11): 225-229 [42] 仇杰，梁久祯*，吴秦，王培斌，基于改进科学计算浮点数压缩算法的工业远程监控数据无损压缩方法，计算机应用，2015，35(11): 3232-3237 [43] 董艳，梁久祯*，基于多种色彩空间的像素覆盖分割方法，小型微型计算机系统，2015，36(8)：1886-1890 [44] 徐秀秀，梁久祯*，基于Gabor小波和有监督2DNPE的人脸识别方法，小型微型计算机系统, 2015,36(8):1897-1901 [45] 李敏，梁久祯*，廖翠翠，基于聚类信息的活动轮廓图像分割模型，模式识别与人工智能，2015,28(7)：665-672 [46] 钱增磊，梁久祯*，一种基于凸壳的压缩域运动对象快速分割算法, 计算机工程与科学，2015,37(6): 1196-1202 [47] 林浩，张熠，梁久祯*，基于用户反馈的WiFi位置指纹数据库更新算法，计算机应用与软件, 2015,32(6):178-181,211 [48] 徐秀秀，梁久祯*，基于小波和流形学习的人脸姿态表情分析，计算机应用与软件, 2015,30(3):167-171 [49] 徐永存，梁久祯*，基于Steiner点的移动目标遮挡恢复方法，南京大学学报, 2015,51(2):395~404 [50] 柴先涛，梁久祯*，基于特征点提取的轴承瑕疵工业在线检测，济南大学学报,2015, 29(5):340-345 [51] 蒋小波，梁久祯*，周世兵， 基于GVFSnake和边界跟踪的主动轮廓图像分割，济南大学学报, 2015, 29(4):269-274 [52] Li Wenjing, Liang Jiuzhen*, Wu Qin, Zhou Yuxuan, Xu Xiuxiu, Zhou Qi, An efficient face classification method based on shared and class-specific dictionary learning, ICIP2015, 27-30 September 2015, Quebec City, Canada(EI) [53] Wu Qin, Lin Hao, Liang Jiuzhen*, Theoretical and Experimental Analysis of WiFi Location Fingerprint Sampling Period, Advances in Wireless Sensor Networks, 2015, Volume 501 of the series Communications in Computer and Information Science pp 187-197(EI) [54] Qian Zenglei, Liang Jiuzhen*, Xu Yongcun, Niu Zhiguo, Wu Qin, A Fast Object Detecting- Tracking Method in Compressed Domain, Springer International Publishing Switzerland 2015, C.V. Jawahar and S. Shan (Eds.): ACCV 2014 Workshops, Part II, LNCS 9009, pp. 344–359, 2015. DOI: 10.1007/ 978- 3-319-16631-5 26(EI) [55] 王小龙，梁久祯*，一种支持视频检索的对象标志位编码算法，计算机工程，2014 Vol. 40 (12): 287-291 [56] Di Lan, Liang Jiuzhen*, Wu Qin, Simulation of Kinetic Traffic Flow with Disturbance, The 3rd International Conference on Connected Vehicles & Expo (ICCVE 2014), International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings, p 498-504, October 12, 2015, 2014(EI) [57] 廖翠萃，李敏，梁久祯，廖祖华，数值求解优化问题在活动轮廓模型上的应用，智能系统学报，2015, 10(6): 1-7 [58] 钱增磊，梁久祯，基于边界搜索的运动对象快速凸壳分割算法，计算机应用，2014，34(10): 2976-2981 [59] 董艳，梁久祯，基于清晰分割的像素覆盖分割方法，小型微型计算机系统，2014，35(11): 2567-2571 [60] 王小龙，梁久祯，一种针对监控视频场景的压缩域对象分割方法，电视技术，2014，38(15): 24-28 [61] 吴秦，周琪，梁久祯，基于灰度级信息的目标边界精确周长估算，中国图形图像学报, 2014,19(10):1449~1458 [62] 吴秦，白玉昭，梁久祯，一种基于语义词典的局部查询扩展方法，南京大学学报(自然科学版), 2014,50(4): 526-533 [63] 吴秦，胡丽娟，梁久祯，基于分块重要度模型和2D CRFs的Web对象信息抽取，南京大学学报，2014, 50(1)79-85 [64] 王德江，梁久祯，廖祖华，R-广义模糊子格的理想，计算机科学，2014，41(1): 271-273，296 [65] Xu Xiuxiu, Liang Jiuzhen*, Lü Sisi, Wu Qin, Human Facial Expression Analysis Based on Image Granule LPP. International Journal of Machine Learning and Cybernetics, DOI: 10.1007/s13042-014-0228-2, ISSN1868-808X, 2014, 5(6): 907–921(IV SCI) [66] 白玉昭，梁久祯*，基于概率模型的主题爬虫的研究和实现，计算机工程与科学，2013， 35 (1): 160-165 [67] 刘军，梁久祯*，柴志雷，基于DM642的运动目标检测，计算机工程与科学，2013， 35 (1): 107-112 [68] 何晓亮，宋威，梁久祯*, 基于资源分配网络和语义特征选取的文本分类,计算机工程与科学, 2014, 36(2):340-346 [69] Zhang Huaguang, Liang Jiuzhen*, Chai Zhilei, Stock prediction based on phase space reconstruction and ESN, Journal of Algorithms & Computational Technology, 2013, 7(1), 87-100(EI) [70] Zheng Dong, Liang Jiuzhen*, Filtering Algorithms for Chirp-Spread-Spectrum Ranging, Communications in Computer and Information Science, R. Wang and F. Xiao (Eds.): CWSN 2012, CCIS 334, pp. 702--714. Springer, Heidelberg (2013); Advances in Wireless Sensor Networks Communications in Computer and Information Science Volume 334, 2013, pp 702-714(EI) [71] Wang Tingting, Liang Jiuzhen*, Background modeling using local binary patterns of motion vector , Visual Communications and Image Processing (VCIP) 2012, November 27-30, 2012, San Diego, CA, USA Tingting Wang, Jiuzhen Liang, Xiaolong Wang, Shizheng Wang: Background modeling using Local Binary Patterns Of Motion Vector. VCIP 2012: 1-5(EI) [72] 吕思思，梁久祯*，基于图像粒的LLE算法在人脸表情分析中的应用，计算机科学，2012, 39(9)专刊：71，合肥工业大学学报，2012, 35(12)：1637-1643 [73] 何晓亮，宋威，梁久祯*，基于语义特征选取与改进K均值算法的文本聚类研究，计算机科学，2012, 39(9)专刊：66-70 [74] 胡丽娟，梁久祯*，基于层次关联边条件随机场的Web对象抽取，计算机工程，2012, 38 (20): 45-48 [75] 王美，梁久祯*，基于curvelet变换的自适应特征提取的鲁棒性人脸识别，计算机工程与应用，2012, 48(11):164-169 [76] 肖伟，梁久祯*，陈玮琪，基于四元数的3D物体旋转及运动插值，系统仿真学报，2012,24(3):624-627 [77] 方万元，梁久祯*，复杂背景下快速车牌定位算法，计算机工程与应用，2012, 48(2):160-163, 176. [78] 徐毅，赵冬娟，梁久祯*，二维类增广PCA及其在人脸识别中的应用，计算机工程与应用，2012, 48 (1): 202-204 [79] 王美，梁久祯*，二维PAC非参数线性判别人脸识别算法，计算机工程，2011，37(24):187-189,192 [80] 赵冬娟，梁久祯*，融合小波和自适应类增广PCA的人脸识别,计算机工程与应用，2011，35 (35)：199-202 [81] 魏妃妃，梁久祯*，柴志雷，基于X264多线程并行编码研究，电视技术，2011, 35(19):7-10 [82] 白玉昭，梁久祯*，基于概率预测的主题爬虫，计算机科学，2011, 38(11)：43-47 [83] 胡丽娟，梁久祯，基于改进的层次条件随机域的web对象信息抽取，计算机科学，2011, 38(11)：48-52 [84] 周爱平，梁久祯*，基于小波变换的运动模糊图像融合研究，小型微型计算机系统，2011,32(9)：1894-1898 [85] 刘军，梁久祯*，柴志雷，基于DM642的KLT跟踪算法的实现及优化，激光与红外，2011,41(8):936-940 [86] 魏妃妃，梁久祯*，韩军，一种基于帧间和帧内宏块级的X264并行编码算法，计算机工程与科学，2011,33(7):106-111 [87] 陈天壮，梁久祯*，韩军，一种基于块运动类型和方向预测相结合的快速算法，计算机工程与科学，2011,33(7):112-117 [88] 曹晓龙;宋威;梁久祯*，基于TF-IQF模型和图聚类的个性化搜索研究，计算机工程与科学，2011,33(12)： [89] 陈天壮，梁久祯*，韩军，基于贝叶斯决策的自适应运动估计算法，电视技术，2011, 35(5):25-28. [90] 赵冬娟，梁久祯*，融合2DPCA和模糊2DLDA的人脸识别，计算机应用，2011， 31 (02): 420-422 [91] 曹晓龙，宋威，梁久祯*，一种基于概念抽取的个性化搜索引擎模型研究, 计算机科学，2011, 38(11)：61-64 [92] 周爱平，梁久祯*，基于二代Curvelet变换与MPCA的可见光与红外图像融合，计算机应用，2010, 30(11): 3011-3014 [93] 周爱平，梁久祯*，基于下非采样contourlet变换多聚焦图像融合，计算机工程与科学，2010, 32(11):71-74 [94] 周爱平，梁久祯*，基于二代curvelet与wavelet变换的自适应图像融合，激光与红外，2010,40(9):1010-1016 [95] 张毅辉，梁久祯*，侵略型中国墙安全模型的RBAC配置的扩展研究，计算机工程与应用，2010,46(29):114-116 [96] 王远定，梁久祯*，一种基于关键词倒排文件的移动搜索模型，计算机工程与应用，2010 46(28):135-137 [97] 张靖宇，梁久祯*，中文网页分布式并行索引的设计与实现，微计算机信息，2010，15：127-128 [98] 刘倩，梁久祯*，基于R/S方法的股票平均循环周期研究，计算机工程与设计，2009,30 (21)，4942-4944 [99] 张华光，梁久祯*，基于相空间重构与ESN的股票预测，计算机科学，2009，36(8A), 122-125 |
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