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Weiting Cai

dblp:22/2547 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Systems and software security · 100%
Software engineering, system software, and programming languages
1 paper
Software maintenance and evolution · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › software supply chain security
third-party library vulnerability identification
0.912025
Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis · NDSS 2025
Systems and software security
vulnerability discovery
0.912025
Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis · NDSS 2025
Software maintenance and evolution
software dependencies
0.312025
Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis · NDSS 2025

Methods — techniques the papers use, named apart from their topics

code patch analysis · 1.7clone detection · 1.7
YearPublicationVenuePosition
2025 Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis
Shangzhi Xu, Jialiang Dong, Weiting Cai, Juanru Li, Arash Shaghaghi
NDSS3
2004 An efficient approach of fast motion estimation and compensation in wavelet domain video compression
abstract
Motion estimation and compensation combined with wavelet transformation has been beneficially applied to improve video compression efficiency and accuracy. Based on the similar motion structures between the decomposed subimages, wavelet domain video compression can be improved by means of the simplifications in motion field refinement as well as in motion vector representation. Although the utilization of the motion field correlations between the same orientational subbands can achieve better compression performance than that between the approximation subbands, the computational load has to be traded off. Since most of the energies are concentrated in the low resolution subbands while decreased in the high resolution subbands, by considering both the accuracy and complexity, an efficient approach, called level-refined motion estimation and subband compensation (LRSC) method is proposed. It realizes low-entropy coding in the subbands, while keeping low computational load in motion estimation, thus to achieve both temporal compression quality and computational simplicity.
Weiting Cai, Malek Adjouadi
ICASSP (2)1