| 姓名: | 赵永平 | 性别 | 男 |  |
| 学位与职务: | 研究员 | 现任职务: | ||
| 硕导/博导: | 博导 | 出生年月: | 1982.10.12 |
| 学术经历: |
| 2013年12月-2014年12月，美国University of California San Diego (UCSD)，访学 2004年9月-2009年12月，南京航空航天大学能源与动力学院航空宇航推进理论与工程专业，博士 2000年9月-2004年6月，南京航空航天大学能源与动力学院热能与动力工程专业，本科 |
| 从事学科与研究方向: |
| 1、推进系统建模、控制和故障诊断等； 2、机器学习理论及应用； 3、大数据技术（深度学习理论）； 4、先进模式识别技术； 5、智能优化算法。 |
| 学术兼职: |
| 以第一作者身份在国内外期刊上发表学术论文40余篇，其中被SCI检索近30篇、被EI检索近40篇。担任多个杂志审稿专家像《IEEE Transactions on Neural Networks and Learning Systems》、《Neural Networks》、《Pattern Recognition》、《航空动力学报》、《航空学报》、《Transactions of Nanjing University of Aeronautics and Astronautics》等 |
| 荣誉称号: |
| 2012年，获全国优秀博士论文提名奖。 |
| 教学与科研情况: |
| 部分研究成果： [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) 欢迎有志于从事智能发动机研究、机器学习理论（大数据技术和深度学习）、先进模式识别技术和智能优化算法等方面研究的同学报考我的研究生！ E-mail: y.p.zhao@163.com |
