About me

My Resume

Graduate Student/Deep Leaning in Electronic Microscoy Image

Never to be simple&naive!

Tensorflow/Mxnet/Pytorch/Matlab/Python/C++/C

Bachelor of Science in IOT Engineering

AnHui JianZhu University | Internet Of Things SEP 2014-JUL 2018

Competition&Project Experience

  • National Innovation and Entrepreneurship Program MAY 2015-MAY 2016
    As the host responsible for overall project operation, mainly responsible for image recognition, research on fingerprint identification technology in security.

  • China service robot competition. MAY 2015
    Mainly responsible for team achievement display, content writing, and project defense.

  • Anhui province “Internet plus” competition. June 2016-August 2016
    As the team leader, responsible for the overall project operation, mainly responsible for the design of HTML,CSS,JavaScript and web pages.

  • Mathematical contest in modelling(AHJZU) June 2017
    As the group leader, responsible for overall project research, paper writing, research on PCA, time series analysis, Dijkstra multi-source shortest path, etc.
  • Excellent undergraduate thesis of Anhui Jianzhu University June 2018
    This thesis designed a indoor human localization algorithm based on the WiFi sniffer and BP neural network.   Thesis Adviser:Wang Ping

HONORS&AWARDS

  • University scholarship                                                           every semester
  • Principal scholarship                                                             2016.7
  • Excellent league cadre and outstanding student cadre.       2016.5
  • Graduates excellent in character and learning from institution of higher learning in Anhui Province                                                                      2018.4

Master of Engineering in computer technology

South China Agricultural University | Computer Technology SEP 2018-Now

Competition&Project Experience

  • National College Students Computer Application Competition June 2018
    According to the data set of the competition, using machine learning algorithm, data preprocessing, data visualization, feature extraction, parameter adjustment, modeling and evaluation are carried out.

  • Subproject of National Natural Science Foundation of China June 2019-Sep 2019
    In order to solve the problem of accuracy of imaging parameters in the field of electron microscopy, we use deep learning technology and convolutional neural network (CNN) with its excellent characteristics of local receptive field, weight sharing and down-sampling.

    HONORS&AWARDS

    • Winner of the Second Prize Award in the Preliminary Round of the 2018 “FLTRP Cup” English Reading Contest. (SCAU)            2018.10

  • First Class Scholarship (SCAU)                         2018.10