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researcher

Ming Wen

14 papers hereh-index 262.1k citations47 works total

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

author position
  • first author1
  • middle author12

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.SE11
  • cs.AI1
  • cs.CR1
  • cs.LG1
same name
  • Ming Wen — 12 papers, h 3
  • Ming Wen — 4 papers, h 1
  • Ming Wen — 4 papers, h 3
  • Ming Wen — 3 papers, h 1
  • Ming Wen — 2 papers, h 8
  • Ming Wen — 1 paper, h 4

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
20172026
most citedDeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs

42 citations · 194 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.LG2019★ 5 cited

Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations

Yongqiang Tian, Shiqing Ma, Ming Wen +3

Deep learning models are widely used for image analysis. While they offer high performance in terms of accuracy, people are concerned about if these models inappropriately make inf…

cs.SE2019★ 1 cited

How Different Is It Between Machine-Generated and Developer-Provided Patches? An Empirical Study on The Correct Patches Generated by Automated Program Repair Techniques

Shangwen Wang, Ming Wen, Liqian Chen +2

Background: Over the years, Automated Program Repair (APR) has attracted much attention from both academia and industry since it can reduce the costs in fixing bugs. However, how t…

cs.SE2019

Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques

Shangwen Wang, Ming Wen, Xiaoguang Mao +1

Automated program repair (APR) has attracted widespread attention in recent years with substantial techniques being proposed. Meanwhile, a number of benchmarks have been establishe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.