梁艳春 - 吉林大学 - 计算机科学与技术学院

个人简介

教育经历 1974-1977 吉林大学数学系，本科生 1979-1982 吉林大学数学系，硕士生 1994-1997 吉林大学数学系，博士生工作经历 1977-1984 吉林大学数学系，助教 1984-1990 吉林大学数学系，讲师 1990-1998 吉林大学数学系，副教授 1998-1999 吉林大学数学系，教授 1999-2001 吉林大学数学系，教授、博士生导师 2001-现在吉林大学计算机科学与技术学院，教授、博士生导师 2006-2012 吉林大学计算机科学与技术学院副院长 2006-现在吉林大学计算机科学技术研究所副所长 1990.10-1992.02 英国曼彻斯特大学（合作研究） 2000.01-2001.06 新加坡国立大学（合作研究） 2002-2004 新加坡高性能计算研究所（合作研究，13个月） 2006-2010 意大利特伦托大学信息工程与计算机科学系（合作研究，8个月） 2011-2013 美国密苏里大学计算机科学系（合作研究，6个月）主要的省部级科技进步奖 [1] 梁艳春等，智能计算建模及应用研究，2007年吉林省科技进步一等奖 [2] 梁艳春等，若干仿生计算技术及应用研究，2008年全国商业科技进步一等奖 [3] 梁艳春等，基于计算智能的系统控制与优化方法及应用研究，2010年全国商业科技进步一等奖 [4] 梁艳春等，基于计算智能的振动系统仿真建模研究，2003年吉林省科技进步二等奖

研究领域

机器学习，生物信息学

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] Yang C, Bruzzone L, Guan RC, Lu, LJ, Liang YC. Incremental and decremental affinity propagation for semisupervised clustering in multispectral images, IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(3): 1666-1679. [2] Sun XL, Dong BQ, Yin LJ, Zhang RZ, Du W, Liu DF, Shi N, Li AL, Liang YC and Mao L, PMTED: a plant microRNA target expression database. BMC Bioinformatics, 2013, 14: 174. [3] Wang JX, Chen L, Wang Y, Zhang JF, Liang YC, Xu D. A Computational Systems Biology Study for Understanding Salt Tolerance Mechanism in Rice. PLoS ONE. 2013, 8(6): e64929. [4] Ma DY, Liang YC, Zhao XS, Guan RC and Shi XH. Multi-BPexpert system for fault diagnosis of power system. Engineering Application of Artificial Intelligence, 2013, 26(3): 937-944. [5] Li Y, Duan M, Liang YC, Multi-scale RNA comparison based on RNA triple vector curve representation, BMC Bioinformatics 2012, 13: 280. [6] Guo XC, Wu CG, Marchese M, Liang YC, LS-SVR-based solving Volterra integral equations, Applied Mathematics and Computation, 2012 (218): 11404-11409. [7] Wang Y, Sun G, Ji ZH, Xing C, Liang YC. Weighted change-point method for detecting differential gene expression in breast cancer microarray data, PLoS ONE, 2012, 7(1): e29860. [8] Wang LP, Wang JX, Wang M, Li Y, Liang YC, Xu D, A comparative study on using Internet search engines to obtain medical information, Journal of Medical Internet Research, 2012, 14(3), e74. [9] Sun L, Yoshida S, Cheng XC, Liang YC. A cooperative particle swarm optimizer with statistical variable interdependence learning, Information Sciences. 2012, 186(1): 20-39. [10] Liang YC, Zhang F, Wang JX, Joshi T, Wang Y, Xu D. Prediction of drought-resistant genes in Arabidopsis thaliana using SVM-RFE. PLoS ONE, 2011, 6(7): e21750. [11] Wang LK, Wang XW, Wang Xi, Liang YC, Zhang XG. Observations on novel splice junctions from RNA sequencing data, Biochemical and Biophysical Research Communications, 2011, 409: 209-333. [12] Wang Y, Wu CG, Ji ZH, Wang BH, Liang YC. Non-parametric change-point method for differential gene expression detection, PLoS ONE, 2011, 6(5): e20060. [13] Guan RC, Shi XH, Marchese M, Yang C, Liang YC. Text clustering with seeds affinity propagation, IEEE Transactions on Knowledge and Data Engineering, 2011, 23(4), 627-637. [14] Yang C, Bruzzone L, Sun FY, Lu LJ, Guan RC, Liang YC. A fuzzy-statistics-based affinity propagation technique for clustering in multispectral images, IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(6): 2647-2659. [15] Zhao DY, Wang Y, Luo D, Shi XH, Wang LP, Xu D, Yu J, Liang YC. PMirP: A pre-microRNA prediction method based on structure-sequence hybrid features, Artificial Intelligence in Medicine, 2010, 49(2): 127-132. [16] Zhang C, Wu CG, Blanzieri E, Zhou Y, Wang Y, Du W, Liang YC. Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model, Bioinformatics, 2009, 25 (20): 2708-2714. [17] Yang C, Lu LJ, Lin HP, Guan RC, Shi XH, and Liang YC. A fuzzy-statistics-based principal component analysis (FS-PCA) method for multispectral image enhancement and display, IEEE Transactions on Geoscience and Remote Sensing, 2008, 46 (11): 3937-3947. [18] Guo XC, Yang JH, Wu CG, Wang CY, and Liang YC. A novel LS-SVMs hyper-parameter selection based on particle swarm optimization. Neurocomputing, 2008, 71(16-18): 3211-3215. [19] Ge HW, Sun L, Liang YC, Qian F. An effective PSO-and-AIS-based hybrid intelligent algorithm for job-shop scheduling, IEEE Transactions on System, Man and Cybernetics, Part A, Systems and Humans, 2008, 38(2):358-368. [20] Ge HW, Liang YC, Marchese M. A modified particle swarm optimization-based dynamic recurrent neural network for identifying and controlling nonlinear systems, Computers & Structures, 2007, 85(21-22): 1611-1622.

学术兼职

[1] J. Computer Science and Technology 编委(2012-现在) [2] Int. J. Computational Methods 编委(2004-现在) [3] Int. J. Functional Informatics and Personalised Medicine 编委(2010-现在) [4] 欧盟SAT项目评估委员会成员(2013-2017) [5] 信息产业部信息产业科技发展“十一五”计划研究与编制工作组计算机技术专家组成员(2004)