Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jinghui Zeng

dblp:325/3917 · DBLP profile ↗
← Back
1ranked-venue papers
0as 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 2021

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
Biometric security · 100%
Artificial intelligence
1 paper
Vision and language · 77% Face, body and person analysis · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Biometric security
face anti-spoofing
0.912025
Fine-Grained Textual Guidance for Generalized Multi-Modal Face Anti-Spoofing · IEEE Trans. Inf. Forensics Secur. 2025
Biometric security › face anti-spoofing
multimodal face anti-spoofing
0.912025
Fine-Grained Textual Guidance for Generalized Multi-Modal Face Anti-Spoofing · IEEE Trans. Inf. Forensics Secur. 2025
Computer vision › Face, body and person analysis
face recognition
0.312025
Fine-Grained Textual Guidance for Generalized Multi-Modal Face Anti-Spoofing · IEEE Trans. Inf. Forensics Secur. 2025

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

vision-language model · 1.7multimodal learning · 1.7
YearPublicationVenuePosition
2025 Fine-Grained Textual Guidance for Generalized Multi-Modal Face Anti-Spoofing
Daiyuan Li, Zitong Yu, Jinwu Hu, Jinghui Zeng, Mingkui Tan
IEEE Trans. Inf. Forensics Secur.5