Predicting grinding burn using artificial neural networks. - Hongxing Liu; Tao Chen; Liangsheng Qu (J. Intell. Manuf., 1997)

A Synergetic Approach to Genetic Algorithms for Solving Traveling Salesman Problem. - Liangsheng Qu; Ruixiang Sun 002 (Inf. Sci., 1999)

Integrating KPCA with an Improved Evolutionary Algorithm for Knowledge Discovery in Fault Diagnosis. - Ruixiang Sun 002; Fugee Tsung; Liangsheng Qu (IDEAL, 2000)

Improving De-Noising by Coefficient De-Noising and Dyadic Wavelet Transform. - Hailong Zhu; James T. Kwok; Liangsheng Qu (ICPR (2), 2002)

Enhanced diagnostic certainty using information entropy theory. - Liangsheng Qu; Liangming Li; Jay Lee (Adv. Eng. Informatics, 2003)

A Rapid Response Intelligent Diagnosis Network Using Radial Basis Function Network. - Guangrui Wen; Liangsheng Qu; Xining Zhang (ISNN (3), 2005)

Evolving kernel principal component analysis for fault diagnosis. - Ruixiang Sun 002; Fugee Tsung; Liangsheng Qu (Comput. Ind. Eng., 2007)

A new field balancing method of rotor systems based on holospectrum and genetic algorithm. - Shi Liu; Liangsheng Qu (Appl. Soft Comput., 2008)