Huang Han

Time:2015-07-24

Name:Huang Han
Introduction:



Ph.D.,  Professor
Date of birth: 1980.10
Email:  

Office Address: School of Software Engineering, South China University of Technology, Higher Education Mega City, Guangzhou, P.R. China, 510006


Education:
Ph.D, Computer Science, June 2008
College of Science and Engineering, South China University of Technology (SCUT), Guangzhou, Guangdong, P.R. China .


B.S., Applied mathematics, June 2003.  
Department of Applied Mathematics, South China University of Technology (SCUT), Guangzhou, Guangdong, P.R. China


Working Experience:
2008-2010:: Lecture, School of Software Engineering, SCUT
2009- 2011: Senior Research Assistant, Department of Management Science, College of Business, City University of Hong Kong
2010-2013: Associate Professors, School of Software Engineering, SCUT


Research Interest:
Intelligent Algorithm, Intelligent Software, Evolutionary Computation, Video Retrieve and Analysis, Data Mining and Theoretical Foundation of Algorithm.


Courses Offered:
Discrete Mathematics, Design and Analysis of Algorithm.



Publication:
Journal Publication:

1. Han Huang, Hu Qin, Zhifeng Hao, Andrew Lim. Example-based learning particle swarm optimization for continuous optimization. Information Sciences, 182 (2012), pp. 125-138


2. Huang H, Wu CG, Hao ZF. A Pheromone-rate-based Analysis on the Convergence Time of ACO Algorithm. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 2009, 39(4), 910-923


3. Wu, Yingjun, Huang, Han, Chen, Feng, Hao, Zhifeng. Local Community Detection Using Link Similarity. Journal of Computer Science and Technology. 27(6): 1261-1268, 2012 (Corresponding author)


4. Zhifeng Hao, Han Huang, Zhiyong Lin, Yushan Zhang. Running Time Analysis of Evolutionary Programming. SCIENCE CHINA Information Sciences, submitted in 2011, Accepted with Minor Revision in Feburary,2012 (Corresponding author)


Conference paper:
1. Liu, Hao; Huang, Han; Liu, Shusen. Explore influence of differential operator in de mutation with unrestrained method to generate mutant vector. Lecture Notes in Computer Science, v 7269 LNCS, p 292-300, 2012


2. Hao Liu, Han Huang, YingjunWu, and Zhenhua Huang. Fast Mixed Strategy Differential Evolution Using Effective Mutant Vector Pool. Y. Tan, Y. Shi, and Z. Ji (Eds.): ICSI 2012, Part I, LNCS 7331, pp.374–381, 2012. c Springer-Verlag Berlin Heidelberg 2012


3. Han Huang, Zhifeng Hao, Zhaoquan Cai and Yifan Zhu. Runtime Analysis of Evolutionary Programming Based on Cauchy Mutation. Lecture Notes in Computer Science, 2010, Volume 6466, Swarm, Evolutionary, and Memetic Computing, Pages 222-229



Research Project:
National Natural Science Foundation of China (61003066)

Doctoral Program of the Ministry of Education (20090172120035)

Guangdong Natural Science Foundation (S2012010010613)

Guangzhou Pearl River Science & technology Star Project (2012J2200007)

Fundamental Research Funds for the Central Universities, SCUT(2012ZZ0087)

Fundamental Research Funds for the Central Universities, SCUT(2009ZM0052)



Patents:
Fast video retrieval method based on the content object label(201110146178.3)

Cartoon automatic generation method based on material engine(201110075634.X)

Fast face recognition method based on the features of the geometric proportion features(201110146177.9)

Intelligent extraction video method based on the time and space integration(201110170308.7)

Automatic public opinion monitoring method based on the Internet hierarchy storage(201110170455.4)

Rapid detection method for pornographic video based on the Gaussian distribution (2012100003893.6)

Automatic identification method for bloggers interest and personality based on support vector machine (SVM) (201210070174.6)

Automatic identification method for highway ambiguity path based on the dynamic time history matching(201210070173.1)

Automatic detection method for strap belts in front of the seat of the vehicle(201210233380.4).


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