Academic Qualification: Ph.D. in The Chinese University of Hong Kong Master in Xi’an Jiaotong University Bachelor in Xi’an Jiaotong University  Teaching Area Principles of databases Data warehousing and data mining Database programming Special topics in new computer technology Working Experience 2014-present   Professor, Faculty of Information Technology, MUST 2009-2014    Associate Professor, Faculty of Information Technology, MUST 2007- 2009    Assitant Professor, Faculty of Information Technolgy, MUST 2004- 2006    Postdoctoral Fellow, The Chinese University of Hong Kong

Artificial Intelligence, Machine Learning, Big Data, Bioinformatics

Liang-Yong Xia, Yu-Wei Wang, De-Yu Meng, Xiao-Jun Yao, Hua Chai,Yong Liang Descriptor selection via log-sum regularization for the biological activities of chemical structure International Journal of Molecular Sciences; doi:10.3390/ijms19010030,2018 Jing-Rong Wang, Wei-Na Gao, Rudolf Grimm, Shibo Jiang, Yong Liang A method to identify trace sulfated IgG N-glycans as biomarkers for rheumatoid arthritis Nature Communacations, 2017  Hua Chai, Zi-Na Li, De-Yu Meng, Liang-Yong Xia, Yong Liang A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysis Scientific Reports, 2017 Pu-Yu Wang· Hai Zhang, Yong Liang Model selection with distributed SCAD penalty Journal of Applied Statistics,2017 Wei Qu, Yong Liang Stability and convergence of the Crank-Nicolson scheme for a class of variable-coefficient tempered fractional diffusion equations Advances in Difference Equations, 2017 Hai-Hui Huang,Yong Liang, Xiao-Ying Liu and Hui-Min Li Molecular pathway identification using a new L1/2 solver and biological network-constrained mode International Journal of Data Mining and Bioinformatics,2017   Hua Chai, Hai-Hui Huang, Hong-Kun Jiang, Yong Liang and Liang-Yong Xia Protein-protein interaction network construction for cancer using a new L1/2-penalized Net-SVM model Genetics and molecular research,2016  Yong Liang, Hua Chai, Xiao-Ying Liu, Zong-Ben Xu, Hai Zhang and Kwong-Sak Leung Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization BMC Med Genomics, 2016 Hai-Hui Huang, Yong Liang and Xiao-Ying Liu Feature Selection and Cancer Classification via Sparse Logistic Regression with the Hybrid L1/2 +2 Regularization PLoS ONE, 2016 Hai-Hui Huang,Yong Liang and Xiao-Ying Liu Network-based logistic classification with an enhanced L1/2 solver reveals biomarker and subnetwork signatures for diagnosing lung cancer BioMed Research International,2015 Hai-Hui Huang,Xiao-Ying Liu,Yong Liang,Hua Chai and Liang-Yong Xia Identification of 13 blood-based gene expression signatures to accurately distinguish tuberculosis from other pulmonary diseases and healthy controls Bio-Medical Materials and Engineering, 2015 Hua Chai, Yong Liang, Xiao-Ying Liu L1/2 regularization approach for survival analysis in the accelerated failure time model Computers in Biology and Medicine, 2015  Xiao-Ying Liu, Yong Liang, Zong-Ben Xu,Hai Zhang andKwong-Sak Leung Adaptive L1/2 shooting regularization method for survival analysis using gene expression data The Scientific World Journal, 2014 Xin-Ze Luan, Yong Liang, Cheng Liu,Kwong-Sak Leung,Tak-Ming Chan,Zong-Ben Xu,Hai Zhang A novel L1/2 regularization shooting algorithm for Cox’s proportional hazards model Soft Computing, 2014  Ge-Jin Chu, Yong Liang, Jia-Xuan Wang Novel harmonic regularization approach for variable selection in Cox's proportional hazards Computational and Mathematical Methods in Medicine, 2014 Bo-Wen Zhang, Hua Chai, Zi-Yi Yang, Yong Liang, Ge-Jin Chu, Xiao-Ying Liu Application of L1/2 regularization logistic method in heart disease diagnosis Bio-Medical Materials and Engineering, 2014  Yong Liang, Cheng Liu, Xin-Ze Luan Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification, BMC bioinformatics, 14:198, 2013 Cheng Liu, Yong Liang, Xin-Ze Luan, Zong-Ben Xu and Hai Zhang, The L1/2 regularization method for variable selection in the Cox’s model Applied Soft Computing, 2013  Hai Zhang,  Yong Liang, Zong-Ben Xu, Xiang-Yu Chang  Compressive sensing with noise based on SCAD penalty Acta Mathematica Sinica, 2013  Hai Zhang, Yong Liang, Hai-Liang Gou, Zong-Ben Xu The essential ability of sparse reconstruction of different compressive sensing strategies Science China. Information Sciences, 2012   Hai Zhang, Zong-Ben Xu, Yao Wang, Xiang-Yu Chang, Yong Liang A sharp nonasymptotic bound and phase diagram of L1/2 regularization Acta Mathematica Sinica,2012 Zong-Ben Xu, Hai Zhang, Yao Wang, Xiang-Yu Chang, Yong Liang L1/2 regularization Science China. Information Sciences,2010 Yong Liang and Kwong Sak Leung, Adaptive elitist-population based genetic algorithm for multimodal function optimization, Applied Soft Computing, Vol.11, no 1, pp. 2017-2034, 2011 Yong Liang，Kwong Sak Leung and Tony S. K. Mok, Evolutionary Drug Scheduling Models with Different Toxicity Metabolism in Cancer Chemotherapy, Applied Soft Computing, Vol.8, no 1, pp. 140-149, 2008 Yong Liang, Kwong Sak Leung and Zong Ben Xu, A Novel Splicing/Decomposable Binary Encoding and Its Operators for Genetic and Evolutionary Algorithms, Applied Mathematics and Computation，Vol. 190, pp. 887-904, 2007 S. M. Tse, Yong Liang, Kwong Sak Leung, K. H. Lee and Tony S. K. Mok, A Novel Memetic Algorithm for Multiple Drugs Cancer Chemotherapy Schedule Optimization, IEEE Transactions on Systems, Man and Cybernetics - Part B, Vol.37, no.1, pp. 84-91, 2007  Yong Liang, Kwong Sak Leung and Tony S. K. Mok, A Novel Evolutionary Drug Scheduling Model in Cancer Chemotherapy, IEEE Transactions on Information Technology in BioMedicine, Vol. 10, no. 2, pp. 237-245, 2006 Yong Liang and Kwong Sak Leung, Evolution Strategies with Exclusion-based Selection Operators and a Fourier Series Auxiliary Function, Applied Mathematics and Computation, Vol. 174, pp. 1080-1109, 2006