吉林大学计算机及应用,梁艳春-吉林大学计算机科学与技术学院

学术论文：

在 IEEE TKDE, IEEE TSMC, IEEE TGRS, Information Sciences, BMC Bioinformatics, Bioinformatics, 《计算机学报》和《软件学报》等国内外重要期刊和学术会议上发表学术论文300余篇，其中 SCI 检索论文 110 余篇，EI 检索论文 180 余篇。

主要代表性学术论文 (单篇他引超过 100 次的论文标注*):

[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.

[21] Wang SQ, Wang Y, Du W, Sun FX, Wang XM, Zhou CG and Liang YC. A multi-approaches-guided genetic algorithm with application to operon prediction, Artificial Intelligence in Medicine, 2007, 41(2): 151-159.

[22] *Shi XH, Liang YC, Lee HP, Lu C and Wang QX, Particle swarm optimization-based algorithms for TSP and generalized TSP, Information Processing Letters, 2007 (103): 169-176.

[23] *Shi XH, Liang YC, Lee HP, Lu C and Wang LM. An improved GA and a novel PSO-GA-based hybrid algorithm. Information Processing Letters, 2005, 93 (5): 255-261.

[24] Shi XH, Liang YC, Lee HP, Lin WZ, Xu X, Lim SP. Improved Elman networks and applications for controlling ultrasonic motors. Applied Artificial Intelligence, 2004, 18 (7): 603-629.

[25] Wu CG, Liang YC, Lee HP and Lu C. A generalized chromosome genetic algorithm for generalized traveling salesman problems and its applications for machining.  Physical Review E, 2004, (70): 016701-1-13.

[26] Liang YC, Feng DP, Liu GR, Yang XW and Han X. Neural identification of rock parameters using fuzzy adaptive learning parameters. Computers & Structures, 2003, 81(24-25): 2373-2382.

[27] Xu X, Liang YC, Lee HP, Lin WZ, Lim SP, Lee KH and Shi XH. Mechanical modeling of a longitudinal oscillation ultrasonic motor and temperature effect analysis. Smart Materials and Structures. 2003, 12(4): 514-523.

[28] Xu X, Liang YC, Lee HP, Lin WZ, Lim SP, Lee KH and Shi XH. Identification and speed control of ultrasonic motors based on neural networks. Journal of Micromechanics and Microengineering. 2003, Vol.13, No. 1, p.104-114.

[29] Liang YC, Lin WZ, Lee HP, Lim SP, Lee KH and Sun H, Proper orthogonal decomposition and its application - Part II: Model reduction for MEMS dynamical analysis. Journal of Sound and Vibration, 2002, Vol. 256, No. 3, p. 515-532.

[30] *Liang YC, Lee HP, Lim SP, Lin WZ, Lee KH and Wu CG. Proper orthogonal decomposition and its applications - Part I: theory.  Journal of Sound and Vibration, 2002, Vol. 252, No. 3, p.527-544.

[31] Liang YC, Feng DP, Lee HP, Lim SP and Lee KH. Successive approximation training algorithm for feedforward neural networks. Neurocomputing, 2002, Vol. 42, p. 311-322.

[32] Liang YC, Lin WZ, Lee HP, Lim SP, Lee KH and Feng DP. A neural-network-based method of model reduction for dynamic simulation of MEMS. Journal of Micromechanics and Microengineering, 2001, Vol. 11, No. 3, p. 226-233.

[33] Liang YC, Zhou CG, Wang ZS, Lee HP and Lim SP. An equivalent genetic algorithm based on extended strings. Information Sciences, 2001, Vol. 138, No.1-4, p. 119-135.

[34] Liang YC, Feng DP, Cooper JE. Identification of restoring forces in nonlinear vibration systems based on improved fuzzy adaptive BP algorithm. Journal of Sound and Vibration. 2001, Vol. 242, No.1, p. 47-58.

[35] 吴春国, 梁艳春等. 关于SVD与PCA 等价性的研究. 计算机学报, 2004, 27 (2): 286-288.

[36] 徐旭，梁艳春，时小虎. 延时-回归神经网络及在超声马达速度控制中的应用. 电子学报，2004, 32(11): 1918-1921.

[37] 时小虎, 梁艳春,  徐旭. 改进的Elman模型与递归反传控制神经网络. 软件学报, 2003, 14(6): 1110-1119.

[38] 梁艳春等. 基于扩展串的等价遗传算法的收敛性. 计算机学报, 1997, 20(8): 686-694.

[39] 梁艳春等. 基于遗传算法的Rosenbrock函数优化问题的研究. 软件学报, 1997, 8(9): 701-708.