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Pinjia He

31 papers hereh-index 316.4k citations58 works total

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

author position
  • first author3
  • middle author21
  • last author5

Across the 29 of 31 papers where every author was matched, so the position is known.

fields
  • cs.SE22
  • cs.CL6
  • cs.CR1
  • cs.CV1
  • cs.DB1
same name
  • Pinjia He — 17 papers, h 8
  • Pinjia He — 15 papers, h 3
  • Pinjia He — 5 papers, h 1
  • Pinjia He — 4 papers, h 9
  • Pinjia He — 3 papers, 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
20152025
most citedEmpirical Standards for Software Engineering Research

102 citations · 366 across the 31 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.SE2020★ 102 cited

Empirical Standards for Software Engineering Research

Paul Ralph, Nauman bin Ali, Sebastian Baltes +39

Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e.g. a questionnaire survey). The ACM SIGSOFT Paper and Peer…

cs.SE2020★ 35 cited

A Survey on Automated Log Analysis for Reliability Engineering

Shilin He, Pinjia He, Zhuangbin Chen +3

Logs are semi-structured text generated by logging statements in software source code. In recent decades, software logs have become imperative in the reliability assurance mechanis…

cs.SE2020★ 45 cited

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics

Jieming Zhu, Shilin He, Pinjia He +2

Logs have been widely adopted in software system development and maintenance because of the rich runtime information they record. In recent years, the increase of software size and…

cs.CL2020

Testing Machine Translation via Referential Transparency

Pinjia He, Clara Meister, Zhendong Su

Machine translation software has seen rapid progress in recent years due to the advancement of deep neural networks. People routinely use machine translation software in their dail…

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