Kunhong Liu Associate professor, Master supervisor


KunHong Liu, born in 1977. He received his Ph.D. degree from University of Science and Technology of China, Hefei, China in 2008. Since Sept. 2008, he has been working in Software School of Xiamen University. Currently, he is an associate professor. From 2014 to 2015, he worked as a PostDoc in the computing department of The HongKong Polytechnic University. His main research interests include data mining, evolutionary algorithm and big data analysis. He has published more than 30 papers.


Data mining, evolutionary algorithm ,big data analysis.


Zhihao Zeng, Master student


(1) Principal Investigator, 2012-2014. The study of new ensemble learning algorithms for microarray data analysis, the Natural Science Foundation of China. 
(2) Principal Investigator, 2011-2014. The study of evolutionary based ensemble feature selection framework based on microarray data, the Natural Science Foundation of Fujian Province.



Kun-Hong Liu*, Muchenxuan Tong, Shu-Tong Xie and Vincent To Yee Ng, Genetic Programming Based Ensemble System for Microarray Data Classification, Computational and Mathematical Methods in Medicine, Volume 2015, Article ID 193406, 2015.(SCI)

KunHong Liu, MuChenxuan Tong, ShuTong Xie, ZhiHao Zeng, Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets, Lecture Notes in Computer Science Vol. 8589, 2014, pp 126-134.(EI)

Zhihao Zeng, Kun-Hong Liu, and Zheyuan Wang, Cancer Classification Using Ensemble of Error Correcting Output Codes, ICIC 2014, LNBI 8590, pp. 15–24, 2014.(EI)

Qingqi Hong, Qingde Li, Beizhan Wang, Yan Li, Junfeng Yao, Kunhong Liu and Qingqiang Wu, 3D vasculature segmentation using localized hybrid level-set method, Biomedical Engineering. 2014, 13:169.(SCI)

Muchenxuan Tong, Kun-Hong Liu*, Chungui Xu, Wenbin Ju, "An ensemble of SVM classifiers based on gene pairs", Computers in Biology and Medicine 43(6), 729–737, 2013.(SCI, times cited: 9)

Guo-Yan Liu, Kun-Hong Liu (co-first author), et. al, “Novel cancerization marker, TP53, and its role in distinguishing normal tissue adjacent to cancerous tissue from normal tissue adjacent to benign tissue”, World Journal of Surgical Oncology, 2012, 10:252. (SCI)

Kun-Hong Liu, Qingqiang Wu, and Meihong Wang, The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data. ISNN 2011, Wuhan.(EI)

Wei-Peng Lin, Kun-Hong Liu, and Guoyan Liu, The Application Of Feature Selection Methods To Analyze The Tissue Microarray Data, Fourth International Workshop on Advanced Computational Intelligence, Wuhan, Hubei, China; October 19-21, 2011.(EI)

Guo-Yan Liu, Kun-Hong Liu (co-first author), et. al, “Alterations of tumor-related genes do not exactly match the histopathological grade in gastric adenocarcinomas”, World J Gastroenterol, Vol. 16, No. 9, pp. 1129-1137, 2010.(SCI, times cited: 5)

Kun-Hong Liu*, Bo Li, Qing-Qiang Wu, Jun Zhang, Ji-Xiang Du and Guo-Yan Liu, “Microarray data classification based on ensemble independent component selection”, Computers in Biology and Medicine. Vol. 39, No.11, pp. 953 – 960, 2009. (SCI, EI, IF: 1.2, times cited: 15)

Kun-Hong Liu* and Chun-Gui Xu, “A genetic programming-based approach to the classification of multiclass microarray datasets”, Bioinformatics, Vol. 25, No.3, pp. 331 – 337, 2009. (SCI, IF: 5.039, times cited: 39)

Kun-Hong, Liu*, Bo, Li, Jun, Zhang and Ji-Xiang, Du, “Ensemble component selection for improving ICA based microarray data prediction models”, Pattern Recognition, Vol. 42, No. 7, pp. 1274–1283, 2009. (SCI, EI, IF: 3.279, times cited: 16)

Kun-Hong Liu, Bo Li, Jun Zhang, and Ji-Xiang Du, "A New Approach to Improving ICA-Based Models for the Classification of Microarray Data", International Symposium on Neural Networks (ISNN), Wuhan, May 26-29, 2009, LNCS 5553, pp. 983–992(EI).

Kun-Hong Liu, Jun Zhang, Bo Li and Ji-Xiang Du, "A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets", International Symposium on Neural Networks (ISNN), Wuhan, May 26-29, 2009, LNCS 5552, pp. 432–441(EI).


Shutong Xie, Yinbiao Guo, Yong Xu, and Kun-Hong Liu, “Grooming of Dynamic Traffic in WDM Tree Networks Using Genetic Algorithms”, International Symposium on Neural Networks (ISNN), Wuhan, May 26-29, 2009, LNCS 5552, 2009, pp. 424–431(EI).

Chun-Gui Xu, Kun-Hong Liu and De-Shuang Huang, “The Analysis of Microarray Datasets Using a Genetic Programming”, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, March 30 – April 2, 2009, Nashville, TN, USA, pp. 176 – 181. (EI)

Kun-Hong Liu and De-Shuang Huang, “Cancer classification using Rotation Forest”, Computers in Biology and Medicine. Vol. 38, No. 5, pp.601-610, 2008. (SCI, EI, IF: 1.272, times cited: 56)

Kun-Hong Liu, Jun-Feng Xia and Xue-Ling Li, “Efficient Ensemble Schemes for Protein Secondary Structure Prediction”, Protein and Peptide Letters, Vol. 15, No. 5, pp.488-493, 2008. (SCI, EI, IF: 1.281, times cited: 5)

Kun-Hong Liu, Yong Xu, De-Shuang Huang and Min Cheng, “Grooming of Dynamic Traffic in WDM Star and Tree Networks Using a Genetic Algorithm”, Photonic Network Communications. Vol. 15, No. 2, pp.111-121, 2008. (SCI, EI,, IF: 0.427, times cited: 7)

Chun-Gui Xu and Kun-Hong Liu, “A GP Based Approach to the Classification of Multiclass Microarray Datasets”. International Conference on Intelligent Computing, September 15-18, 2008, Shanghai, LNAI 5227, Springer Berlin, 2008: pp. 340-346. (EI)

Bo Li, De-shuang Huang and Kun-Hong Liu, “Constrained Maximum Variance Mapping”, IEEE World Congress on Computational Intelligence, Hong Kong, June 1-8, 2008, pp. 534-537.(EI)

Bo Li, De-Shuang Huang, Cao Wang and Kun-Hong Liu, “Feature extraction using constrained maximum variance mapping”. Pattern Recognition, Vol. 41, No.11, pp. 3287-3294, 2008. (SCI, EI, IF: 3.279, times cited: 53)

Yong Xu and Kun-Hong Liu, “Evolutionary Grooming of Traffic in WDM Optical Networks,” Advances in Evolutionary Computing for System Design, Studies in Computational Intelligence, vol. 66, pp. 95-137, 2007, Springer.

Zhong-Hua Quan, De-Shuang Huang, Kun-Hong Liu, and Kwok-Wing Chau, “A Hybrid HMM/ANN Based Approach for Online Signature Verification”, IEEE International Joint Conference on Neural Networks (IJCNN), August 12–17 2007, Orlando, Florida, USA (IJCNN), pp. 402 – 405. (ISTP)

Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, and Kun-Hong Liu, “Application of Self-Organizing Map in Aerosol Single Particles Data Clustering”, IEEE International Joint Conference on Neural Networks (IJCNN), August 12–17, Orlando, Florida, USA (IJCNN), 2007, pp. 991 – 996. (ISTP)

Jun Zhang, De-shuang Huang and Kun-Hong Liu, “Multi-Sub-Swarm Particle Swarm Optimization Algorithm for Multimodal Function Optimization,” IEEE Congress on Evolutionary Computation (CEC), Singapore, September 25-28, 2007, pp. 3215-3220. (EI)

Kun-Hong Liu, De-Shuang Huang, and Jun Zhang, “Microarray Data Prediction by Evolutionary Classifier Ensemble System,” IEEE Congress on Evolutionary Computation (CEC), Singapore, September 25-28, 2007, pp. 3215-3220. (EI)

Kun-Hong Liu, De-Shuang Huang, and Bo Li, “Improving the Performance of ICA Based Microarray Data Prediction Model with Genetic Algorithm,” IEEE Congress on Evolutionary Computation (CEC), Singapore, September 25-28, pp. 3215-3220, 2007. (EI)

Kun-Hong Liu and Yong Xu, “Combining GA with splitting methods to the rearrangeably nonblocking grooming of dynamic traffic in SONET ring networks,” Photonic Network Communications, vol. 10, No.2, pp.179-192, 2005. (SCI, EI, IF:0.837, times cited: 8)

Kun-Hong Liu and Yong Xu, “A new approach to improving the grooming performance with dynamic traffic in SONET rings,” Computer Networks, vol. 46, No. 2, pp.181-195, 2004. (SCI, EI, IF: 0.978, times cited: 17)

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