Jianmin Guo

Jianmin Guo

Ph.D candidate

Tsinghua University


My name is Jianmin Guo (郭建敏). I am a Ph.D. candidate at School of Software Engineering, Tsinghua University, Beijing, China. I received the BS degree in software engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2017. My research interests are software testing, mainly focusing on deep learning testing, adversarial testing of recurrent neural networks and audio adversarial attacks, etc.


  • Deep learning testing
  • Adversarial testing of recurrent neural networks
  • Audio adversarial attacks


  • PhD in Software Engineering, 2017-Present

    Tsinghua University

  • BSc in Software Engineering, 2013-2017

    Beijing University of Posts and Telecommunications



Ph.D. candidate

Tsinghua University

Sep 2017 – Present Beijing

Core works include:

  • RNN-Test: Design the testing framework for Recurrent Neural Networks (RNN), the first step towards sequential tasks like language modelling, speech recognition, etc.
  • DLFuzz: Design the deep learning testing framework, combining knowledge of fuzz testing and producing more adversarial input images with higher neuron coverage w.r.t. DeepXplore (SOSP’17).

Research assistant

Nanyang Technological University

Jan 2017 – May 2017 Singapore
Leopard: Extract and assess program metrics of tested software programs to identify vulnerability-prone functions and CVEs, assisted with the fuzzing tools.



Mainly for

  • 软件学报
  • American Journal of Software Engineering and Applications (AJSEA)


  • guojm17@mails.tsinghua.edu.cn
  • +86 18811082936
  • Tsinghua University, Beijing, 100084