Jilin University
Associate Professors
Associate Professors
Chunguo Wu
Genral
Name: Chunguo Wu
Gender: Male
Title: Associate professor
Degree: Doctoral
Tel:
Email:
Details
Major: Application of Computer Science and Technology
Research direction: Machine Learning, Artificial Neural Networks, Support Vector Machine; Evolutionary Computation
Course: Machicne Learning; Evolutionary Computation; Mathematical Modeling
Education experience: 1999 B.Sc. (Sci.), Applied Mathematics, Department of Mathematics, Jilin University.
2002 M.Sc. (Sci.), Mechanics, Department of Mathematics, Jilin University
2006 Ph.D., Computer Applications, College of Computer Science and Technology, Jilin University.
Work experience: 2003.06-2006.06 Teaching Assistant, College of Computer Science and Technology, Jilin University
2006.07-2008.09 Lecturer, College of Computer Science and Technology, Jilin University
2008.10- to date Associate Professor, College of Computer Science and Technology, Jilin University
2003.07-2004.01 Oversea training student, Institute of High Performance Computing, Singapore
2007.07-2007.08 University of Trento, Italy, as a young faculty visitor under the EASTWEB project
2010.08-2010.09 University of Murcia, Spain, as a young faculty visitor under the EASTWEB project
2012.10-2012.11 University of Murcia, Spain, as a young faculty visitor under the ONE MORE STEP (OMS) project
Research project: Awarding Body Title Period Value Role
NSFC Study on technologies of noisy microarray data processing 1/1/2009 to 31/12/2011 ¥210K PI
NSFC Study on the Interaction Between Protein and DNA Based on Structural Motif 1/1/2008 to 31/12/2010 ¥200K coPI
JILIN Noisy data processing on biological microarray 1/9/2008 to
31/12/2010 ¥50K
Papers: [1] Yanchun Liang, Heow Pueh Lee, Siak Piang Lim, Wuzhong Lin, Lee KH and Chunguo Wu. Proper orthogonal decomposition and its applications - Part I: Theory. Journal of Sound and Vibration, 2002, Vol. 252, No.3, p.527-544 (93 times Cited).
[2] Chunguo Wu, Yanchun Liang, Heow Pueh Lee, Wuzhong Lin and Siak Piang Lim. A note on equivalence of proper orthogonal decomposition methods. Journal of Sound and Vibration, 2003, 265 (5): 1103-1110. (14 times Cited)
[3] Chunguo Wu, Yanchun Liang, Heow Pueh Lee, and Chun Lu. Generalized chromosome genetic algorithm for generalized traveling salesman problems and its applications for machining. Physical Review E, 2004, 70, 1-13.
[4] Chunguo Wu, Yanchun Liang, Heow Pueh Lee, Chun Lu and Xiaowei Yang. Study on optimization of agent positions in land combat simulation. Progress in Natural Science, 2004, 14 (3): 257-261.
[5] Yanfeng Sun, Yanchun Liang, Chunguo Wu, Xiaowei Yang, Heow Pueh Lee and Wuzhong Lin. Estimate of error bounds in the improved support vector regression. Progress in Natural Science, 2004, 14 (4): 362-364.
[6] Chunguo Wu, Yanchun Liang, Heow Pueh Lee, Chun Lu and Wuzhong Lin. Solving constrained traveling salesman problems by genetic algorithms. Progress in Natural Science, 2004, 14(7): 631-637.
[7] Chunguo Wu, Yanchun Liang, Hongwei Ge, Lijuan Cao and Heow Pueh Lee. A computational-intelligence-based optimization of agents’ initial positions in land combat simulation. Progress in Natural Science, 2003, 13 (8): 620-625.
[8] Jingqing Jiang, Chunguo Wu, Chuyi Song, Yanchun Liang. Adaptive and Iterative Gene Selection Based on Least Squares Support Vector Regression. Journal of Information & Computational Science, 2006, 3(3): 443-451.
[9] Chunguo Wu, Yanchun Liang, Xiaowei Yang and Zhifeng Hao. Equivalence of Classification and Regression under Support Vector Machine Theory. Proceedings of 2005 International Conference on Natural Computation, Changsha 2005. In: L. Wang, K. Chen, and Y.S. Ong (Eds.): ICNC 2005, Lecture Notes in Computer Science 3612: 1257-1260.
[10] Chaoyong Wang, Chunguo Wu and Yanchun Liang. Medicine Composition Analysis Based on PCA and SVM. Proceedings of 2005 International Conference on Natural Computation, Changsha 2005. In: L. Wang, K. Chen, and Y.S. Ong (Eds.): ICNC 2005, Lecture Notes in Computer Science 3612: 1226-1230.
[11] Han Huang, Xiaowei Yang, Zhifeng Hao, Chunguo Wu, Yanchun Liang, Xi Zhao. Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems. Proceedings of 2005 International Conference on Natural Computation, Changsha 2005. In: L. Wang, K. Chen, and Y.S. Ong (Eds.): ICNC 2005, Lecture Notes in Computer Science 3612: 137-140.
[12] Jingqing Jiang, Chunguo Wu and Yanchun Liang. Multi-category Classification by Least Squares Support Vector Regression. Proceedings of 2005 International Symposium on Neural Networks. Chongqing 2005. In: J. Wang, X. Liao, and Z. Yi (Eds.): ISNN 2005, Lecture Notes in Computer Science 3496: 863-868.
[13] Chunguo Wu, Wei Xiang, Yanchun Liang, Heow Pueh Lee and Chunguang Zhou. A Modified Integer-Coding Genetic Algorithm for Job Shop Scheduling Problem. Proceedings of the eighth Pacific Rim International Conference on Artificial Intelligence. Newsland 2004. Lecture Notes in Artificial Intelligence 3157: 373-380.
[14] Chunguo Wu, X.L. Xing, Heow Pueh Lee, Chunguo Zhou and Yanchun Liang. Genetic Algorithm Application on the Job Shop Scheduling Problem. Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shaihang 2004, Vol. 4: 2102-2106.
[15] Chunguo Wu, Liming Wan, Heow Pueh Lee, Xiaowei Yang, Yanchun Liang. Study on optimization of support vectors. Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an 2003, Vol. 3: 1889-1893.
[16] Chunguo Wu, Yanchun Liang, Heow Pueh Lee and Chun Lu. Intelligent agent-inspired genetic algorithm. Proceedings of the seventh International Conference on Adaptive and Natural Computing Algorithms, Coimbra Portugal, 2005, 389-392.
[17] Hua Qu, Lianpu Wang, Yanchun Liang and Chunguo Wu. An improved biclustering algorithm and its applications to analysis of gene expression spectrum, Genomics, Proteomics & Bioinformatics, 2005, 3(4): 36-40.
[18] Chunguo Wu, Na Zhang, Jingqing Jiang, Jinhui Yang, and Yanchun Liang. Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems. In: B. Beliczynski et al. (Eds.): ICANNGA 2007, Part I, LNCS 4431, pp. 562-569, 2007.
[19] Chunguo Wu, Maurizio Marchese, Jingqing Jiang, Alexander Ivanyukovich, and Yanchun Liang. Machine learning-based keywords extraction for scientific literature. Journal of Universal Computer Science, vol. 13, no. 10 (2007), 1471-1483.
[20] Xinchen Guo, Jinhui Yang, Chunguo Wu, Yanchun Liang. A novel LS-SVMs hyper-parameter selection based on particle swarm optimization. Neurocomputing, 2008, Vol.71 No. 16-18: 3211-3215. (26 times Cited)
[21] Chen Zhang, Chunguo Wu, Enrico Blanzieri, You Zhou, Yan Wang, Wei Du, and Yanchun Liang. Methods for Labeling Error Detection in Microarrays Based on the Effect of Data Perturbation on the Regression Model. Bioinformatics, 2009 25(20): 2708-2714.
[22] Han Huang, Chunguo Wu, Zhifeng Hao. A Pheromone-Rate-Based Analysis on the Convergence Time of ACO Algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2009, Vol. 39, No. 4, pp: 910-923.
[23] Yao WANG, Chunguo WU(吴春国), Zhaohua JI, Binghong WANG, Yanchun LIANG. (2011) Non-Parametric Change-Point Method for Differential Gene Expression Detection. PLoS ONE (ISSN: 1932-6203) 6(5): e20060. doi:10.1371/journal.pone.0020060 (SCI)
[24] Zhaohua Ji, Chunguo WU(吴春国), Yao Wang, Renchu Guan, Huawei Tu, Xiaozhou Wu, Yanchun Liang. Tri-Mean Based Statistical Differential Gene Expression Detection. International Journal of Data Mining and Bioinformatics, 2012, Vol. 6, No. 3: 255-271.
[25] Chunguo Wu (吴春国), Gaoyang Li, Xiaozhou Wu, Xiaosong Han, Binghong Wang, Jesualdo Tomás Fernández Breis, Fei Wang, and Yanchun Liang. An Hidden Markov Model-Based Transcription Factor Mining Method. Journal of Bionanoscience, 2013, Vol. 7, 66–71. (EI )
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