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researcher

J. Keung

13 papers hereh-index 6137 citations17 works total

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

author position
  • middle author10
  • last author1

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.SE8
  • cs.CL2
  • cs.CV2
  • cs.LG1
same name
  • J. Keung — 158 papers
  • J. Keung — 100 papers, h 59
  • J. Keung — 70 papers
  • J. Keung — 30 papers
  • J. Keung — 11 papers, h 9
  • J. Keung — 10 papers, h 40

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
20242026
most citedFight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?

2 citations · 2 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CV2024

HumanEval-V: Benchmarking High-Level Visual Reasoning with Complex Diagrams in Coding Tasks

Fengji Zhang, Linquan Wu, Huiyu Bai +6

Understanding and reasoning over diagrams is a fundamental aspect of human intelligence. While Large Multimodal Models (LMMs) have demonstrated impressive capabilities across vario…

cs.SE2024

Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review

Fengji Zhang, Zexian Zhang, Jacky Wai Keung +4

Code Smell Detection (CSD) plays a crucial role in improving software quality and maintainability. And Deep Learning (DL) techniques have emerged as a promising approach for CSD du…

cs.SE2024★ 2 cited

Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?

Xiao Yu, Lei Liu, Xing Hu +3

With the increasing utilization of large language models such as ChatGPT during software development, it has become crucial to verify the quality of code content it generates. Rece…

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