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，Soft Computing，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60多篇。

研究领域

要从事演化计算、机器学习、生物信息学等领域的研究工作

主持主要项目 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 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 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 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 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 广东省特支计划创新青年拔尖人才项目，2015-2018 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

近期论文

查看导师最新文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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, 2019 (in press) 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） 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. 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. 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. 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. Z.-A. Huang, X. Chen*, Z. Zhu*, H. Liu, G.-Y. Yan, Z.-H. You, and Z. Wen, PBHMDA: Path-based human microbe-disease association prediction, Frontiers in Microbiology, vol. 8, article no. 233, 2017. Z. Zhu, J. Xiao, S. He, Z. Ji, and Y. Sun, A multi-objective memetic algorithm based on locality-sensitive hashing for one-to-many-to-one dynamic pickup-and-delivery problem, Information Sciences, vol. 329, pp. 73-89, 2016. Z. Zhu, J. Xiao, J.-Q. Li, F. Wang, and Q. Zhang, Global path planning of wheeled robots using multi-objective memetic algorithms, Integrated Computer-Aided Engineering, vol. 22, no. 4, pp. 387-404, 2015. 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. 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. 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. Z. Zhu, S. Jia, S. He, Y. Sun, Z. Ji, L. Shen, Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework, Information Sciences, vol. 298, pp. 274–287, 2015. 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. 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. 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. 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. 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