人员

朱泽轩

朱泽轩

  • 系主任 副所长 教授
  • 人工智能系
  • 智能技术与系统集成研究所
  • zhuzx@szu.edu.cn
  • 计算机与软件学院1036房

  • 个人简介

朱泽轩(教授,博导)2003年获得复旦大学计算机科学与技术学士学位,2008年获得新加坡南洋理工大学计算机工程博士学位,2009-2010,在深圳大学计算机与软件学院但任讲师、2011年晋升副教授、2015年破格晋升教授。主要从事演化计算、机器学习、生物信息学等领域的研究工作。入选广东省首批特支计划创新青年拔尖人才,广东省首批高校优秀青年教师培养计划、深圳市首批“孔雀计划”海外高层次人才。目前担任IEEE Computational Intelligence Society, Emergent Technologies Task Force on Memetic Computing主席,担任SCI期刊IEEE Transactions on Evolutionary Computation,IEEE Transactions on Emerging Topics in Computational Intelligence,Memetic Computing期刊副主编/编委, 担任多个顶级期刊的审稿人;已主持国家自然科学基金项目4项、省部级以上项目5项;在IEEE Transactions on Evolutionary Computation、IEEE Transactions on Cybernetics、IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics、IEEE/ACM Transactions on Computational Biology and Bioinformatics、Pattern Recognition、Briefings in Bioinformatics、Bioinformatics等期刊和国际会议上共发表论文120多篇,SCI收录70多篇, SCI他引1000多次, GS引用3000多次。个人主页:http://csse.szu.edu.cn/staff/zhuzx

  • 代表论文

  1. X. Ma, Y. Yu, X. Li, Y. Qi, and Z. Zhu*, A survey of weight vector adjustment methods for decomposition based multi-objective evolutionary algorithms, IEEE Transactions on Evolutionary Computation, 2020. (accepted)

  2. Z. Liang, H. Dong, C. Liu, W. Liang, and Z. Zhu*, Evolutionary multi-tasking for multi-objective optimization with subspace alignment and adaptive differential evolution, IEEE Transactions on Cybernetics, 2020. (accepted)

  3. Z. Liang, T. Wu, X. Ma, Z. Zhu*, and S. Yang, A dynamic multi-objective evolutionary algorithm based on decision variable classification, IEEE Transactions on Cybernetics, 2020. (accepted)

  4. Z. Liang, T. Luo, K. Hu, X. Ma, and Z. Zhu*, An indicator-based many-objective evolutionary algorithm with boundary protection, IEEE Transactions on Cybernetics, 2019. (accepted)

  5. X. Ma, X. Li, Q. Zhang, K. Tang, Z. Liang, W. Xie, and Z. Zhu*, A survey on cooperative co-evolutionary algorithms, IEEE Transactions on Evolutionary Computation, vol. 23, no. 3, pp. 421-441, 2019.

  6. Z. Liang, K. Hu, X. Ma, and Z. Zhu*, A many-objective evolutionary algorithm based on a two-round selection strategy, IEEE Transactions on Cybernetics, 2019 (in press).

  7. R. Guo, Y.-R. Li, S. He, L. Ou-Yang, Y. Sun*, and Z. Zhu*, RepLong - de novo repeat identification using long read sequencing data, Bioinformatics, vol. 34, no. 7, pp. 1099-1107, 2018. 

  8. X. Ma, Q. Zhang, G. Tian, J. Yang, and Z. Zhu*, On Tchebycheff decomposition approaches for multi-objective evolutionary optimization, IEEE Transactions on Evolutionary Computation, vol. 22, no. 2, pp. 226-244, 2018.

  9. Z.-H, You, Z.-A. Huang, Z. Zhu*, G.-Y. Yan, Z.-W. Li, Z. Wen, and X. Chen*, PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction, PLoS Computational Biology, vol. 13, no. 3, artical no. e1005455, 2017.

  10. Z.-A. Huang, Z. Wen, Q. Deng, Y. Chu, Y. Sun, and Z. Zhu*,LW-FQZip 2: a parallelized reference-based compression of FASTQ files, BMC Bioinformatics, vol. 18, no. 1, pp. 179:1-179:8, 2017.

  11. Z. Zhu, L. Li, Y. Zhang, Y. Yang, and X. Yang, CompMap: a reference-based compression program to speed up read mapping to related reference sequences, Bioinformatics, vol. 31, no. 3, pp. 426-428, 2015.

  12. Z. Zhu, Y. Zhang, Z. Ji, S. He, and X. Yang, High-throughput DNA sequence data compression, Briefings in Bioinformatics, vol. 16, no. 1, pp. 1-15, 2015.

  13. Y. Zhang, L. Li, Y. Yang, X. Yang, S. He and Z. Zhu*, Light-weight reference-based compression of FASTQ data, BMC Bioinformatics, vol. 16, pp.188, 2015.

  14. Z. Zhu, J. Zhou, Z. Ji, and Y.-H. Shi, DNA sequence compression using adaptive particle swarm optimization-based memetic algorithm, IEEE Transactions on Evolutionary Computation, vol. 15, no. 5, pp. 643-558, 2011.

  15. Z. Zhu, S. Jia, and Z. Ji, Towards a memetic feature selection raradigm, IEEE Computational Intelligence Magazine, vol. 5, no. 2, pp. 41-53, 2010.

  16. Z. Zhu, Y. S. Ong and M. Zurada, Identification of full and partial class relevant genes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 7, no. 2, pp. 263-277, 2010.

  17. Z. Zhu, Y. S. Ong and M. Dash, Markov blanket-embedded genetic algorithm for gene selection, Pattern Recognition, vol. 49, no. 11, pp. 3236-3248, 2007.

  18. Z. Zhu, Y. S. Ong and M. Dash, Wrapper-filter feature selection algorithm using a memetic framework, IEEE Transactions On Systems, Man and Cybernetics - Part B:Cybernetics,  vol. 37, no. 1, pp. 70-76, 2007.

  • 主持主要项目

  1. 国家自然科学基金面上项目: 基于自组装参考基因组的高通量长读测序数据压缩和比对集成研究,2019-2022

  2. 国家自然科学基金面上项目:基于高通量RNA-Seq和多目标协同演化模因计算的疾病模块识别研究,2015-2018

  3. 国家自然科学基金委与英国皇家学会中英联合项目: 基于计算智能技术的集成生物标记识别研究, 2012-2014

  4. 国家自然科学基金青年基金项目:基于自生式多目标Memetic算法的高维数据特征选择研究,2011-2013

  5. 教育部回国留学人员启动基金项目:晶体结构预测中的Memetic算法研究,2012-2013

  6. 广东省特支计划创新青年拔尖人才项目,2015-2018

  7. 广东省高等学校优秀青年教师培养计划资助项目:基于多组学大数据的智能生物标志物识别研究, 2014-2016

last updated:2020/03/24

深圳大学计算机与软件学院 2009-2016