activity
20232025
most citedLearning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models

16 citations · 29 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2025★ 9 cited

Automating Comment Generation for Smart Contract from Bytecode

Jianhang Xiang, Zhipeng Gao, Lingfeng Bao +3

Recently, smart contracts have played a vital role in automatic financial and business transactions. To help end users without programming background to better understand the logic…

cs.SE2025★ 1 cited

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities

Zezhou Yang, Sirong Chen, Cuiyun Gao +4

Code generation aims to automatically generate code snippets of specific programming language according to natural language descriptions. The continuous advancements in deep learni…

cs.SE2024

Understanding Practitioners' Expectations on Clear Code Review Comments

Junkai Chen, Zhenhao Li, Qiheng Mao +3

The code review comment (CRC) is pivotal in the process of modern code review. It provides reviewers with the opportunity to identify potential bugs, offer constructive feedback, a…

cs.SE2024★ 3 cited

Towards Explainable Vulnerability Detection with Large Language Models

Qiheng Mao, Zhenhao Li, Xing Hu +3

Software vulnerabilities pose significant risks to the security and integrity of software systems. Although prior studies have explored vulnerability detection using deep learning…

cs.SE2024

PPT4J: Patch Presence Test for Java Binaries

Zhiyuan Pan, Xing Hu, Xin Xia +3

The number of vulnerabilities reported in open source software has increased substantially in recent years. Security patches provide the necessary measures to protect software from…

cs.SE2024★ 16 cited

Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models

Shuzheng Gao, Wenxin Mao, Cuiyun Gao +4

Pre-trained code models have recently achieved substantial improvements in many code intelligence tasks. These models are first pre-trained on large-scale unlabeled datasets in a t…

cs.SE2023

Exploiting Library Vulnerability via Migration Based Automating Test Generation

Zirui Chen, Xing Hu, Xin Xia +4

In software development, developers extensively utilize third-party libraries to avoid implementing existing functionalities. When a new third-party library vulnerability is disclo…