activity
20182023
most citedNeural Program Repair: Systems, Challenges and Solutions

26 citations · 70 across the 8 of their papers we have counts for

collaborators

8 papers

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.CV2023★ 11 cited

Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning

Jidong Ge, Yuxiang Liu, Jie Gui +5

Self-supervised learning enables networks to learn discriminative features from massive data itself. Most state-of-the-art methods maximize the similarity between two augmentations…

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…

cs.CL2021★ 12 cited

Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer

Yunyun Huang, Xiaoyu Shen, Chuanyi Li +2

Given the fact of a case, Legal Judgment Prediction (LJP) involves a series of sub-tasks such as predicting violated law articles, charges and term of penalty. We propose leveragin…

cs.CL2021

AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization

Ze Tang, Chuanyi Li, Jidong Ge +3

Code summarization aims to generate brief natural language descriptions for source code. As source code is highly structured and follows strict programming language grammars, its A…

cs.CL2021★ 3 cited

Learning Fine-grained Fact-Article Correspondence in Legal Cases

Jidong Ge, Yunyun huang, Xiaoyu Shen +2

Automatically recommending relevant law articles to a given legal case has attracted much attention as it can greatly release human labor from searching over the large database of…

cs.CR2018

Timing Channel in IaaS: How to Identify and Investigate

Xiao Fu, Rui Yang, Xiaojiang Du +1

Recently, the IaaS (Infrastructure as a Service) Cloud (e.g., Amazon EC2) has been widely used by many organizations. However, some IaaS security issues create serious threats to i…