conf.researchr.org / Pengyu Nie
Registered user since Wed 20 Dec 2017
Name:Pengyu Nie
Bio:
I am an Assistant Professor at the Cheriton School of Computer Science at the University of Waterloo. My research interests are in machine learning and natural language processing for software engineering, for improving developers’ productivity during software development, testing and maintenance. Specific topics include execution-guided machine learning models for test completion and lemma naming, learning to evolve code and comments, and frameworks for maintaining executable comments and specifications.
Country:Canada
Affiliation:University of Waterloo
Personal website: https://pengyunie.github.io/
Research interests:Software Engineering, Natural Language Programming, Programming Languages
Contributions
2027
2026
AIware
- Author of Program-as-Weights: A Programming Paradigm for Fuzzy Functions within the ArXiv Track-track
- Author of TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution within the ArXiv Track-track
- Author of When AI Coding Assistants Leak Training Data: A Study of LLM Memorization in Code Generation within the Main Track-track