Chenyang Yang[pronunciation]
Ph.D. Student in Software Engineering
School of Computer Science
Carnegie Mellon University
chenyangy [at] cmu [dot] edu
CV / Google Scholar / Twitter
I am a fourth-year PhD student in Software and Societal Systems Department, School of Computer Science at Carnegie Mellon University, advised by Christian Kästner and Sherry Tongshuang Wu.
I work at the intersection of software engineering and human-centered AI. I design methods and build systems to empower humans to develop and use AI applications.
I received my undergraduate degree from Peking University in 2021, where I had the pleasure to work with Professor Yingfei Xiong.
Selected Publications
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kästner, Tongshuang Wu
arXiv Paper
What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing
Chenyang Yang, Yining Hong, Grace Lewis, Tongshuang Wu, Christian Kästner
IEEE/ACM International Conference on Automated Software Engineering (ASE)
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
Jenny T. Liang, Chenyang Yang, Brad A. Myers
IEEE/ACM International Conference on Software Engineering (ICSE)
ICSE 2024 Paper
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs
Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace Lewis, Christian Kästner, Tongshuang Wu
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
Data Leakage in Notebooks: Static Detection and Better Processes
Chenyang Yang, Rachel A. Brower-Sinning, Grace Lewis, Christian Kästner
IEEE/ACM International Conference on Automated Software Engineering (ASE)
Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code
Chenyang Yang, Shurui Zhou, Jin L.C. Guo, Christian Kästner
IEEE/ACM International Conference on Automated Software Engineering (ASE)
