Chenyang Yang [pronunciation]
IPA:        /ʈʂʰən˧˥ iɑŋ˧˥/   /iɑŋ˧˥/
IPA (English):   /tʃən jʌŋ/    /jʌŋ/

I am a first-year PhD student in Institute for Software Research, School of Computer Science at Carnegie Mellon University, advised by Professor Christian Kästner. My main research interests lie in program analysis and software testing, especially their application to machine learning systems.

I received my undergraduate degree from Peking University in 2021, where I had the pleasure to work with Professor Yingfei Xiong.

Email: chenyangy [AT]
Google Scholar / CV


ASE 2021 Chenyang Yang, Shurui Zhou, Jin L.C. Guo, and Christian Kästner. Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code. In Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), Los Alamitos, CA: IEEE Computer Society, November 2021. [Paper] [Code] [Slide]
SAS 2021 Yifan Chen, Chenyang Yang, Xin Zhang, Yingfei Xiong, Hao Tang, Xiaoyin Wang, Lu Zhang. Accelerating Program Analyses in Datalog by Merging Library Facts. SAS'21: International Static Analysis Symposium, October 2021. [Paper]


  • 2021.8 - present, Carnegie Mellon University
    Ph.D. student in Software Engineering
  • 2017.9 - 2021.7, Peking University
    Bachelor of Science (Summa Cum Laude) in Computer Science
    Bachelor of Arts in Chinese Language and Literature


  • Sub-Reviewer: ASE 2021, FSE 2021, ICSE 2021, ASE 2020
  • Student Volunteer: ASE 2020