科研学术
Scientific Research
叶璇
  • 职位 : 工程师
  • 教育背景 :2022/07-至今 人工智能与数字经济广东省实验室(深圳) 工程师
  • 研究领域 : 数据挖掘,大数据智能计算
  • 工作经历及教育背景

    2022/07-至今 人工智能与数字经济广东省实验室(深圳) 工程师


    2019/09-2022/07 深圳大学 硕士研究生


    2015/09-2019/07 深圳大学 本科


  • 发表论文论著:

    [1]Ye X, He Y, Huang J Z. Attribute bagging-based extreme learning machine[C]//International Conference on Algorithms and Architectures for Parallel Processing. Springer, Cham, 2020: 509-522.

    [2]He Y L, Ye X, Huang D F, et al. Novel kernel density estimator based on ensemble unbiased cross-validation[J]. Information Sciences, 2021, 581: 327-344.

    [3]He Y, Ye X, Huang J Z, et al. Bayesian attribute bagging-based extreme learning machine for high-dimensional classification and regression[J]. ACM Transactions on Intelligent Systems and Technology, 2022, 13(2): 1-26.

    [4]He Y, Ye X, Huang D, et al. A hybrid method to measure distribution consistency of mixed-attribute data sets[J]. IEEE Transactions on Artificial Intelligence, 2022.

    [5]He Y L, Ye X, Cui L, et al. Wireless Network Slice Assignment with Incremental Random Vector Functional Link Network[J]. IEEE Transactions on Network Science and Engineering, 2022.

    [6]Ye X, He Y, Zhang M, et al. A novel correlation Gaussian process regression-based extreme learning machine[J]. Knowledge and Information Systems, 2023: 1-26.