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Xing Hu

7 papers hereh-index 11395 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.SE7
same name
  • Xing Hu — 26 papers, h 6
  • Xing Hu — 21 papers, h 9
  • Xing Hu — 18 papers, h 5
  • Xing Hu — 14 papers, h 24
  • Xing Hu — 8 papers, h 3
  • Xing Hu — 7 papers, h 20

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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
Showing 2024Show all

4 papers · 1 filter

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…

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