Wei Wang

PhD Student, school of computer science

Northwestern Polytechnical University


Wei Wang is a First-year Ph.D. student in school of Computer Science, Northwestern Polytechnical University. He is supervised by Dr.Jiajie Peng. Currently, he is interested in Data mining, Machine learning, Medical image analysis and bioinfomatics, especially Deep learning for network biology and Whole slide imgage analysis.

He is a growing web development engineer and a growing data scientist, and welcomes your advice. He life motto is: ⭐ keep hungry, keep foolish.

🎯 What he is doing Now:

  • Prepare the graduation dissertation of master's degree ❤❤❤❤❤
  • Deep learning for network biology ❤❤❤


  • Machine Learning
  • Medical Image Analysis
  • bioinfomatics


  • Ph.D. in Computer Science, 2020-2024

    Northwestern Polytechnical University

  • M.S. in Life Science, 2017-2020

    Northwestern Polytechnical University

  • B.S. in Mechanical Design and Automation, 2012-2016

    Henan University of Science and Technology


Journal & Conference papers

Systems pharmacology dissection of action mechanisms of Dipsaci Radix for osteoporosis

Aims: Osteoporosis (OP) is a systemic metabolic bone disease characterized by bone mass decrease and microstructural degradation, which …

Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

Goal: Squamous cell carcinoma of cervix is one of the most prevalent cancer worldwide in females. Traditionally, the most indispensable …

A Retrospective cohort study on the risk factors of deep vein thrombosis (DVT) for patients with traumatic fracture at Honghui Hospital

Objective: To explore the risk factors of perioperative deep vein thrombosis (DVT) in patients with traumatic fracture after …


深度学习技术的迅猛发展为辅助医师进行高精度的疾病诊断提供了新的方法和思路.本文综述了医学疾病诊断领域常用的深度学习模型, 即卷积神经网络, 深度信念网络, 受限玻尔兹曼机和循环神经网络模型的原理及特点; 然后从肺癌, 乳腺癌, 糖尿病视网膜病变等几种典型的疾病出发, 介 …


Lab & Personal projects


Wsi analysis

The solution of whole slide image analysis using deep learning, to be exact, using supervied learning.


Recent & Upcoming talks

Thesis: Research on WSIs analysis using deep learning

Recent years, with the development of computer hardware technology, deep learning has made great progress in the fields of computer vision, natural language processing, machine translation, medical imaging and bioinformatics。


Selected awards

The only award: The red flower award in kindergarten