讲师
孙世权
  • 所属院校:
    西北工业大学
  • 所属院系:
    计算机学院
  • 研究领域:
    --
  • 职称:
    讲师
  • 导师类型:
    --
  • 招生专业:
    计算机科学与技术
个人简介

个人简述:

孙世权,西北工业大学助理教授。2017年3月在西安交通大学控制科学与工程专业获得博士学位,同年7月加入西北工业大学计算机学院。2015.09 - 2017.01年以国家公派联合培养博士生形式,赴美国密歇根大学、安娜堡分校,生物统计系进行研究工作。目前,主要从事机器学习,计算生物信息学中算法以及生物大数据中关键问题建模与分析研究。


科研工作:

Published PapersShiquan Sun, Michelle Hood, Laura Scott, Qinke Peng, Sayan Mukherjee, Jenny Tung, Xiang Zhou. Differential expression analysis for RNAseq using Poisson mixed models. Nucleic Acids Research 45(2017): e106. (SCI, IF = 10.2)Shiquan Sun, Xiongpan Zhang and Qinke Peng. A higher-order representation and classification method for transcription factor binding sites recognition in Escherichia coli. Artificial Intelligence in Medicine 65(2017): 16-23. (SCI, IF = 2.0)Shiquan Sun, Qinke Peng and Xiaokang Zhang. Global feature selection from microarray data usingLagrange multipliers. Knowledge-Based Systems 110(2016): 267–274. (SCI, IF = 3.3)Shakoor, Adnan, Qinke Peng, Shiquan Sun. GT-kernelPLS: Game theory based hybrid gene selec-tion method for microarray data classification. IEEE/ACIS 16th International Conference on SoftwareEngineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), Japan,August 2015. (EI)Shiquan Sun, Qinke Peng and Adnan Shakoor. A kernel-based multivariate feature selection methodfor microarray data classification. PLoS One 9(2014): e102541. (SCI, IF = 3.2)Shiquan Sun and Qinke Peng. A hybrid PSO-GSA strategy for high-dimensional optimization and mi-croarray data clustering. IEEE International Conference on Information and Automation(IEEE ICIA),Hulun Buir Inner Mongolia, July 2014. (EI)Jing Zhang, Qinke Peng and Shiquan Sun, et al. Collaborative fltering recommendation algorithmbased on user preference derived from item domain features. Physica A: Statistical Mechanics and itsApplications 396(2014): 66-76. (SCI, IF = 2.2)孙世权, 高淑萍, 梁原, 边疆. 基于数据融合技术的多属性群决策方法. 系统工程与电子技术34(2012): 2094-2097. (EI)Jibin Lan, Mingming Hu, Xinmiao Ye, and Shiquan Sun. Deriving interval weights from an intervalmultiplicative consistent fuzzy preference relation. Knowledge-Based Systems 26(2012): 128-134. (SCI, IF = 3.3)

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