研招网 > 陕西研招网 > 西安电子科技大学 > 导师介绍

西安电子科技大学计算机学院硕导介绍:霍红卫


  
  研究成果与着作、个人代表作、获奖情况
  
  近期发表的主要论文:
  
1.Hongwei Huo, Zhenhua Zhao, V. Stojkovic, Lifang Liu, Optimizing Genetic Algorithm for Motif Discovery, Mathematical and Computer Modelling, Volume 52, Issues 11-12, pp.2011-2020, 2010.
  2.Hongwei Huo, V. Stojkovic, Qiaoluan Xie, A quantum-inspired genetic algorithm based on probabilistic coding for multiple sequence alignment, Journal of Bioinformatics and Computational Biology, Vol.8, No. 1, 2010, pp.59-75.
  3.HUO Hongwei, YE Mangu, and GAO Dongpei, A memory-efficient multi- dimensional hardware-specific algorithm for packet classification, Chinese Journal of Electronics, 2010, Vol.38 No. 4, pp.634-636.
  4.于强,霍红卫,高效存储的深度包检测算法,软件学报,2011,22(1):149-163
  5.霍红卫,王小武,DNA序列中基于适应性后缀树的重复体识别算法,计算机学报,2010, Vol. 33, No. 4, pp.747-754.
  6.Hongwei Huo and V. Stojkovic, A partition-based suffix tree construction and its applications, Advances in Greedy Algorithms, book chapter, Book edited by: Witold Bednorz, ISBN 978-953-7619-27-5, pp. 69-84, November 2008, I-Tech, Vienna, Austria
  7.Hongwei Huo, V. Stojkovic, Qiaoluan Xie, and Xubang Shen, A probabilistic coding based quantum genetic algorithm for multiple sequence alignment, in Proceedings of the 7th Annual International Conference on Computational Systems Bioinformatics (CSB), Stanford University, California, USA, August 26-29, pp.15-26, 2008.
  8.Hongwei Huo and V. Stojkovic, A Suffix Tree Construction Algorithm for DNA Sequences, IEEE 7th International Symposium on BioInformatics & BioEngineering BIBE2007, Harvard University, Boston, Massachusetts, USA, October 14-17, pp. 1178-1182, 2007.
  9.霍红卫,白帆,一种具有精确边界的重复体识别算法,计算机学报, 2008, Vol.31, No.2, pp.214-219.
  10.刘立芳, 霍红卫, 王宝树, 生物序列模体的混合Gibbs抽样识别算法,电子学报,2008, Vol 36, No.4 pp.750-755
  11.霍红卫,肖智伟,基于最大权值路径算法的DNA多序列比对方法, 软件学报, 2007, Vol. 18, No.2, pp.185-195.
  12.刘立芳, 霍红卫, 王宝树, PHGA-COFFEE:多序列比对问题的并行混合遗传算法求解, 计算机学报, 2006, Vol. 29, No.5, pp.727-733.
  13. Hongwei Huo, Zhenhua Zhao, V. Stojkovic and Lifang Liu, Combining Genetic Algorithm and Random Projection Strategy for (l,d)-Motif Discovery, The Fourth International Conference on Bio-Inspired Computing: Theories and Applications, Oct. 16-19, 2009, Peking University, Beijing, China, pp.235-240.
  14. Li-fang Liu, Li-cheng Jiao, Hong-wei Huo, A Greedy Two-stage Gibbs Sampling Method for Motif Discovery in Biological Sequences, Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, May 28-30, 2008, pp.13-17.
  15. Hongwei Huo and Vojislav Stojkovic, Two-phase Quantum based Evolutionary Algorithm for Multiple Sequence Alignments, International Conference on Computational Intelligence and Security November 3-6, Guangzhou, China, 2006, pp. 374-379.
  16. Lifang Liu, Hongwei Huo, Baoshu Wang, A Novel Optimization of Profile HMM by a Hybrid Genetic Algorithm, Journal of Information and Computational Science,2005, 2(4): 729-737.
  17.Hongwei Huo and Hua Ming, Simulated Annealing with Star-alignment for Multiple Sequence Alignments, International Conference on Computational Intelligence and Security, 2005, LNAI 3801, pp.821-826.
  18.Li-fang Liu, Hong-wei Huo and Baoshu Wang, Alignment multiple sequences by genetic algorithms, 2004 International Conference on Communications, Circuits and Systems, Volume II: Signal processing, Circuits and Systems UESTC, Chengdu, China, June 27-29, 2004, pp.994-998.
 

考研帮最新资讯更多

考研帮地方站

你可能会关心:

查看目标大学的更多信息

分数线、报录比、招生简章
一个都不能错过

× 关闭