Shin Yoo
Software · Software testing, verification & reliability · 2007–2023
A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Software — 101 citations into it; #167 of 1,227 by trust here, #204 by citations
- Information Systems — 96 citations into it; #1,415 of 8,771 by trust here, #1,740 by citations
- Artificial Intelligence — 69 citations into it
- Computer Networks and Communications — 21 citations into it
- Signal Processing — 20 citations into it
- Natural Language Processing — 15 citations into it
- Hardware and Architecture — 14 citations into it
- Computational Theory and Mathematics — 13 citations into it
Whom Shin Yoo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gregg Rothermel
- Mark Harman
- Sebastian G. Elbaum
- James A. Jones
- Mary Jean Harrold
- Hyunsook Do
- Nicholas Nethercote
- Phil McMinn
- Kristen R. Walcott
- Carlos Artemio Coello Coello
Who trusts Shin Yoo overall
- Mark Harman
- Phil McMinn
- Caroline Lemieux
- Wontae Choi
- Koushik Sen
- Michael C Hilton
- S. Afshin Mansouri
- W. E. Wong
- George C. Necula
- Timothy Tunnell
Papers from Shin Yoo's perspective
Ordered by how strongly the researchers Shin Yoo trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Large Language Models for Software Engineering: Survey and Open Problems (2023) — 496 citations
- Guiding Deep Learning System Testing Using Surprise Adequacy (2018) — 496 citations
- The Oracle Problem in Software Testing: A Survey (2015) — 1,129 citations
- No pot of gold at the end of program spectrum rainbow: Greatest risk evaluation formula does not exist (2014) — 54 citations
- Ask the Mutants: Mutating Faulty Programs for Fault Localization (2014) — 299 citations
- Regression testing minimization, selection and prioritization: a survey (2012) — 1,620 citations
- Search Based Software Engineering: Techniques, Taxonomy, Tutorial (2010) — 313 citations
- Pareto efficient multi-objective test case selection (2007) — 411 citations