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[1] Yong-Ping Zhao†. Parsimonious kernel extreme learning machine in primal via Cholesky factorization. Neural Networks (ISSN: 0893-6080), 2016, 80: 95-109. (SCI, Impact factor: 3.216, WOS: 000377521700009) (EI Compendex, Accession number: 20162102417763) (DOI: 10.1016/j.neunet.2016.04.009) (Issue date: August 1, 2016)
[2] Yong-Ping Zhao†, Ramón Huerta. Improvements on parsimonious extreme learning machine using recursive orthogonal least squares. Neurocomputing (ISSN: 0925-2312), 2016, 191: 82-94. (SCI, Impact factor: 2.392, WOS: 000375165900008) (EI Compendex, Accession number: 20162302463872) (DOI: 10.1016/j.neucom.2016.01.005) (Issue date: May 26, 2016)
[3] Yong-Ping Zhao†, Dong Liang, Zheng Ji. A method of combining forward with backward greedy algorithms for sparse approximation to KMSE. Soft Computing (ISSN: 1432-7643). (SCI, Impact factor: 1.271, WOS: ) (EI Compendex, Accession number: 20154901641630) (DOI: 10.1007/s00500-015-1947-3) (Issue date: )
[4] Yong-Ping Zhao†, Bing Li, Ye-Bo Li. An accelerating scheme for destructive parsimonious extreme learning machine. Neurocomputing (ISSN: 0925-2312), 2015, 167: 671-687. (SCI, Impact factor: 2.005, WOS: 000358808500070) (EI Compendex, Accession number: 20152600979707) (DOI: 10.1016/j.neucom.2015.04.002) (Issue date: November 1, 2015)
[5] Yong-Ping Zhao†, Bing Li, Ye-Bo Li, Kang-Kang Wang. Householder transformation based sparse least squares support vector regression. Neurocomputing (ISSN: 0925-2312), 2015, 161: 243-253. (SCI, Impact factor: 2.005, WOS: 000357910700025) (EI Compendex, Accession number: 20151300695066) (DOI: 10.1016/j.neucom.2015.02.037) (Issue date: August 5, 2015)
[6] Yong-Ping Zhao†, Kang-Kang Wang, Ye-Bo Li. Parsimonious regularized extreme learning machine based on orthogonal transformation. Neurocomputing (ISSN: 0925-2312), 2015, 156: 280-296. (SCI, Impact factor: 2.005, WOS: 000351978100032) (EI Compendex, Accession number: 20150800544304) (DOI: 10.1016/j.neucom.2014.12.046) (Issue date: May 25, 2015)
[7] Yong-Ping Zhao†, Kang-Kang Wang, Fu Li. A pruning method of refining recursive reduced least squares sup-port vector regression. Information Sciences (ISSN: 0020-0255), 2015, 296: 160-174. (SCI, Impact factor: 3.893, WOS: 000347363500012) (EI Compendex, Accession number: 20151400709651) (DOI: 10.1016/j.ins.2014.10.1058) (Issue date: March 1, 2015)
[8] Yongping Zhao†, Kangkang Wang. Fast cross validation for regularized extreme learning machine. Journal of Systems Engineering and Electronics (ISSN: 1004-4132), 2014, 25(5): 895-900. (SCI, Impact factor: 0.605, WOS: 000344444900022) (EI Compendex, Accession number: 201445155128) (DOI: 10.1109/jsee.2014.000103) (Issue date: October 1, 2014)
[9] Zhang Yuchen, Zhao Yongping†, Song Chenjun, Hou kuanxin, Tuo Jinkui, Ye Xiaojun. Improved scheme for fast approximation to least squares support vector regression. Transactions of Nanjing University of Aero-nautics & Astronautics (ISSN: 1005-1120), 2014, 31(4): 413-419. (EI Compendex, Accession number: 201443121059) (Issue date: August 1, 2014)
[10] Yong-Ping Zhao†, Kang-Kang Wang, Jie liu, Ramon Huerta. Incremental kernel minimum squared error (KMSE). Information Sciences (ISSN: 0020-0255), 2014, 270: 92-111. (SCI, Impact factor: 3.643 , WOS: 000335635600005) (EI Compendex, Accession number: 20141617592011) (DOI: 10.1016/j.ins.2014.02.117) (Issue date: June 20, 2014)
[11] 赵永平†, 王康康. 具有增加删除机制的RELM的混沌时间序列预测. 物理学报, 2013, 62(24): 240509-1-250509-8.
Zhao Yong-Ping†, Wang Kang-Kang. Chaotic time series prediction using add-delete mechanism based RELM. Acta Physica Sinica (ISSN: 1000-3290), 2013, 62(24): 240509-1-250509-8. (SCI, impact factor, 1.027, WOS: 000329040100010) (EI Compendex, Accession number: 20140117166962) (DOI: 10.7498/aps.62.240509) (Issue date: December 20, 2013) (in Chinese)
[12] Yong-Ping Zhao†, Jing Zhao, Min Zhao. Twin least squares support vector regression. Neurocomputing (ISSN: 0925-2312), 2013, 118: 225-236. (SCI, Impact factor: 1.440, WOS: 000323693700023) (EI Compendex, Accession number: 20133316611939) (DOI: 10.1016/j.neucom.2013.03.005) (Issue date: October 22, 2013)
[13] 赵永平†, 张丽艳, 李德才, 王立峰, 蒋洪章. 过滤窗最小二乘支持向量机的混沌时间序列预测. 物理学报, 2013, 62(12): 120511.
Zhao Yong-Ping†, Zhang Li-Yan, Li De-Cai, Wang Li-Feng, Jiang Hong-Zhang. Chaotic time series prediction using filtering window based least squares support vector regression. Acta Physica Sinica (ISSN: 1000-3290), 2013, 62(12): 120511. (SCI, impact factor: 1.027, WOS: 000321185600016) (EI Compendex, Accession number: 20132916517272) (DOI: 10.7498/aps.62.120511) (in Chinese) (Issue date: June 20, 2013)
[14] Feng Wei, Zhao Yong-Ping†, Du Zhong-Hua, Li De-Cai, Wang Li-Feng. A novel kernel for least squares support vector machine. Journal of China Ordnance (ISSN: 1673-002X), 2012, 8(4): 240-247.
[15] Yong-Ping Zhao†, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Yu-Chen Zhang. An improved recursive re-duced least squares support vector regression. Neurocomputing (ISSN: 0925-2312), 2012, 87: 1-9. (SCI, Im-pact factor: 1.440, WOS: 000303906100001) (EI Compendex, Accession number: 20122415111729) (DOI: 10.1016/j.neucom.2012.01.015) (Issue date: June 15, 2012)
[16] Yong-Ping Zhao†, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Ye-Bo Li. Online independent reduced least squares support vector regression. Information Sciences (ISSN: 0020-0255), 2012, 201: 37-52. (SCI, Impact factor: 2.833, WOS: 000304335800003) (EI Compendex, Accession number: 20121814983374) (DOI: 10.1016/j.ins.2012.02.052) (Issue date: October 15, 2012)
[17] Su Weisheng, Zhao Yongping†, Sun Jianguo. Novel weighted least squares support vector regression for thrust estimation on performance deterioration of aero-engine. Transactions of Nanjing University of Aeronautics and Astronautics (ISSN: 1005-1120), 2012, 29(1): 25-32. (EI Compendex, Accession number: 20122515129765) (Issue date: March 2012)
[18] Yong-Ping Zhao†, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Hai-Bo Zhang. Pruning least objective contri-bution in KMSE. Neurocomputing (ISSN: 0925-2312), 2011, 74(17): 3009-3018. (SCI, Impact factor: 1.440, WOS: 000296212400031) (EI Compendex, Accession number: 20113814357598) (DOI: 10.1016/j.neucom.2011.04.004) (Issue date: October 2011)
[19] Yong-Ping Zhao†, Zhong-Hua Du, Zhi-An Zhang, Hai-Bo Zhang. A fast method of feature extraction for kernel MSE. Neurocomputing (ISSN: 0925-2312), 2011, 74(10): 1654-1663. (SCI, Impact factor: 1.440, WOS: 000290838600019) (EI Compendex, Accession number: 20111613916294) (DOI: 10.1016/j.neucom.2011.01.020) (Issue date: May 2011)
[20] Yong-Ping Zhao†, Jian-Guo Sun. Multikernel semiparametric linear programming support vector regression. Expert Systems with Applications (ISSN: 0957-4174), 2011, 38(3): 1611-1618. (SCI, Impact factor: 2.908, WOS: 000284863200038) (EI Compendex, Accession number: 20104513367263) (DOI: 10.1016/j.eswa.2010.07.082) (Issue date: March 2011)
[21] Yongping Zhao†, Jianguo Sun. A fast method to approximately train hard support vector regression. Neural Networks (ISSN: 0893-6080), 2010, 23(10): 1276-1285. (SCI, Impact factor: 1.879, WOS: 000285370800013) (EI Compendex, Accession number: 20104613391817) (DOI: 10.1016/j.neunet.2010.08.001) (Issue date: De-cember 2010)
[22] Zhao Yongping†, Sun Jianguo. Thrust estimator design based on least squares support vector regression ma-chine. Journal of Harbin Institute of Technology (New Series) (ISSN: 1005-9113), 2010, 17(4): 578-583. (EI Compendex, Accession number: 20104313323668) (Issue date: August 2010)
[23] Yongping Zhao†, Jianguo Sun. Robust truncated support vector regression. Expert Systems with Applications (ISSN: 0957-4174), 2010, 37(7): 5126-5133. (SCI, Impact factor: 2.908, WOS: 000277726300047) (EI Com-pendex, Accession number: 20101412820673) (DOI: 10.1016/j.eswa.2009.12.082) (Issue date: July 2010)
[24] Zhao Yongping†, Sun Jianguo. Fast online approximation for hard support vector regression and its application to analytical redundancy for aeroengines. Chinese Journal of Aeronautics (ISSN: 1000-9361), 2010, 23(2): 145-152. (SCI, Impact factor: 0.294, WOS: 000277299100001) (EI Compendex, Accession number: 20101712887811) (DOI: 10.1016/s1000-9361(09)60198-9) (Issue date: April 2010)
[25] Zhao Yongping†, Sun Jianguo. Improved scheme to accelerate spares least squares support vector regression. Journal of Systems Engineering and Electronics (ISSN: 1004-4132), 2010, 21(2): 312-317. (SCI, Impact factor: 0.269, WOS: 000277515800022) (EI Compendex, Accession number: 20103613216704) (DOI: 10.3969/j.issn.1004-4132.2010.02.022) (Issue date: April 26, 2010)
[26] 赵永平†, 孙健国, 王前宇, 陈霆昊. 基于K-均值聚类和约简最小二乘支持向量回归机的推力估计器设计. 航空动力学报, 2010, 25(5): 1177-1183.
Zhao Yong-Ping†, Sun Jian-Guo, Wang Qian-Yu, Chen Ting-Hao. Thrust estimator design based on K-means clustering and reduced least squares support vector regression. Journal of Aerospace Power (ISSN: 1000-8055), 2010, 25(5): 1177-1183. (EI Compendex, Accession number: 20102513021048) (Issue date: May 2010) (in Chinese)
[27] Yong-Ping Zhao†, Jian-Guo Sun, Xian-Quan Zou. Reducing samples for accelerating multikernel semiparamet-ric support vector regression. Expert Systems with Applications (ISSN: 0957-4174), 2010, 37(6): 4519-4525. (SCI, Impact factor: 2.908, WOS:000276532600054) (EI Compendex, Accession number: 20100912739503) (DOI: 10.1016/j.eswa.2009.12.058) (Issue date: June 2010)
[28] Zhao Yongping†, Sun Jianguo. Improved significant vector learning for parsimonious regression. Chinese Journal of Electronics (ISSN: 1022-4653), 2010, 19(1): 133-137. (SCI, Impact factor: 0.156, WOS: 000274712900027) (EI Compendex, Accession number: 20100812732872) (Issue date: January 2010)
[29] Yongping Zhao†, Jianguo Sun. Recursive reduced least squares support vector regression. Pattern Recognition (ISSN: 0031-3203), 2009, 42(5): 837-842. (SCI, Impact factor: 3.279, WOS: 000263431200022) (EI Com-pendex, Accession number： 20090411870185) (DOI: 10.1016/j.patcog.2008.09.028) (Issue date: May 2009)
[30] Yongping Zhao†, Jianguo Sun. Rough nu-support vector regression. Experts Systems with Applications (ISSN: 0957-4174), 2009, 36(6): 9793-9798. (SCI, Impact factor: 2.596, WOS: 000266086600024) (EI Compendex, Accession number: 20091612035583) (DOI: 10.1016/j.eswa.2009.02.007) (Issue date: August 2009)
[31] Zhao Yongping†, Sun Jianguo. Improved scheme to accelerate support vector regression. Journal of Systems Engineering and Electronics (ISSN: 1004-4132), 2009, 20(5): 1086-1090. (SCI, Impact factor: 0.269, WOS: 000271832900025) (EI Compendex, Accession number: 20103613214205) (Issue date: October 22, 2009)
[32] Zhao Yongping†, Sun Jianguo, Wang Jiankang. Online parsimonious least squares support vector regression and its application. Transactions of Nanjing University of Aeronautics and Astronautics (ISSN: 1005-1120), 2009, 26(4): 280-287. (EI Compendex, Accession number: 20100812731006) (Issue date: December 2009)
[33] 赵永平†, 孙健国. 关于稀疏最小二乘支持向量回归机的改进剪枝算法. 系统工程理论与实践, 2009, 29(6): 166-171.
Zhao Yong-Ping†, Sun Jian-Guo. Online parsimonious least squares support vector regression and its application. System Engineering Theory and Practice (ISSN: 1000-6788), 2009, 29(6): 166-171. (EI Compendex, Acces-sion number: 20093012214390) (Issue date: June 2009) (in Chinese)
[34] 赵永平†, 孙健国. 原空间中最小二乘支持向量机的新算法. 系统工程与电子技术, 2009, 31(1): 142-145.
Zhao Yong-Ping†, Sun Jian-Guo. A new method for least squares support vector machine in the primal. Systems Engineering and Electronics (ISSN: 1001-506X), 2009, 31(1): 142-145. (EI Compendex, Accession number: 20090811917511 ) (Issue date: January 2009) (in Chinese)
[35] 赵永平†, 孙健国. 基于线性无关度的稀疏最小二乘支持向量回归机. 中国图象图形学报, 2009, 14(6): 1136-1140.
Zhao Yong-Ping†, Sun Jian-Guo. Sparse least squares support vector regression machine based on the scale of linear independency. Journal of Image and Graphics (ISSN: 1006-8961), 2009, 14(6): 1136-1140. (Issue date: June 11, 2009)(in Chinese)
[36] 赵永平†, 孙健国. 最小二乘支持向量回归机在发动机推力估计中的应用. 航空动力学报, 2009, 24(6): 1420-1425.
Zhao Yong-Ping†, Sun Jian-Guo. Aeroengine thrust estimation using least squares support vector regression machine. Journal of Aerospace Power (ISSN: 1000-8055), 2009, 24(6): 1420-1425. (EI Compendex, Acces-sion number: 20092912195664) (Issue date: June 2009) (in Chinese)
[37] 赵永平†, 孙健国. 基于薄壁管法的稀疏最小二乘支持向量回归机. 电机与控制学报, 2009, 13(4): 581-585.
Zhao Yong-Ping†, Sun Jian-Guo. Thin wall tube method based sparse least squares support vector regression. Electric Machines and Control (ISSN: 1007-449X), 2009, 13(4): 581-585. (EI Compendex, Accession number: 20093412260416) (Issue date: July 2009) (in Chinese)
[38] Yongping Zhao†, Jianguo Sun. Robust support vector regression in the primal. Neural Networks (ISSN: 0893-6080), 2008, 21(10): 1548-1555. (SCI, Impact factor: 2.656, WOS: 000261926100016) (EI Compendex, Accession number: 20084911764085) (DOI: 10.1016/j.neunet.2008.09.001) (Issue date: December 2008)
[39] Zhao Yongping†, Sun Jianguo. Boosting sparse least squares support vector regression and its application to thrust estimation. Transactions of Nanjing University of Aeronautics and Astronautics (ISSN: 1005-1120), 2008, 25(4): 254-261. (EI Compendex, Accession number: 20090711910043) (Issue date: December 2008)
[40] 赵永平†, 孙健国. 一类非平坦函数的多核最小二乘支持向量回归机的鲁棒回归算法. 信息与控制, 2008, 37(2): 160-165.
Zhao Yong-Ping†, Sun Jian-Guo. A non-flat function robust regression algorithm using multi-kernel LS-SVM. Information and Control (ISSN: 1002-0411), 2008, 37(2): 160-165. (Inspec, Accession number: 10374057) (Issue date: April 2008) (in Chinese)
[41] 赵永平†, 孙健国. 基于滚动窗法最小二乘支持向量回归机的稳健预测模型. 模式识别与人工智能, 2008, 21(1): 1-5.
Zhao Yong-Ping†, Sun Jian-Guo. Robust prediction model of least squares support vector machine based on sliding window. Pattern Recognition and Artificial Intelligence (ISSN: 1003-6059), 2008, 21(1): 1-5. (EI Compendex, Accession number: 20081911244486) (Issue date: February 2008) (in Chinese)
[42] 赵永平†, 孙健国. 一种快速稀疏最小二乘支持向量回归机. 控制与决策, 2008, 23(12): 1347-1352.
Zhao Yong-Ping†, Sun Jian-Guo. Fast method for sparse least squares support vector regression machine. Control and Decision (ISSN: 1001-0920), 2008, 23(12): 1347-1352. (EI Compendex, Accession number: 20090111830326) (Issue date: December 2008) (in Chinese)
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