Chenyang Yang ^{[pronunciation]

IPA: /ʈʂʰən˧˥ iɑŋ˧˥/ /iɑŋ˧˥/

IPA (English): /tʃən jʌŋ/ /jʌŋ/}

I am a second-year PhD student in Software and Societal Systems Department, School of Computer Science at Carnegie Mellon University, advised by Professor Christian Kästner. I am interested in applying software engineering techniques to help data scientists better build, debug, and evaluate machine learning models.

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

Email: chenyangy [AT] cmu.edu
Google Scholar / CV

Publications

SafeAI 2023	Chenyang Yang, Rachel Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu. Capabilities for Better ML Engineering. In Proceedings of the AAAI-23 Workshop on Artificial Intelligence Safety (SafeAI), February 2023. [Paper] [Slide] [Poster]
ASE 2022	Chenyang Yang, Rachel A Brower-Sinning, Grace Lewis, and Christian Kästner. Data Leakage in Notebooks: Static Detection and Better Processes. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), New York, NY: ACM Press, October 2022. [Paper] [Code] [Slide] [Demo]
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