26 citations · 70 across the 8 of their papers we have counts for
Showing cs.SEShow all
3 papers · 1 filter
cs.SE2023★ 7 cited
An Empirical Comparison of Pre-Trained Models of Source Code
Changan Niu, Chuanyi Li, Vincent Ng +3
While a large number of pre-trained models of source code have been successfully developed and applied to a variety of software engineering (SE) tasks in recent years, our understa…
cs.SE2022★ 26 cited
Neural Program Repair: Systems, Challenges and Solutions
Wenkang Zhong, Chuanyi Li, Jidong Ge +1
Automated Program Repair (APR) aims to automatically fix bugs in the source code. Recently, as advances in Deep Learning (DL) field, there is a rise of Neural Program Repair (NPR)…
cs.SE2022★ 11 cited
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations
Changan Niu, Chuanyi Li, Vincent Ng +3
Recent years have seen the successful application of large pre-trained models to code representation learning, resulting in substantial improvements on many code-related downstream…