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

Jiaxi Qiu

dblp:417/2658 · 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
Blockchain and cryptocurrency security · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%

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

TopicWeightPapersLastEvidence papers
Data mining › structured data mining › graph mining
graph learning
0.912025
Detecting DeFi Fraud With a Graph-Transformer Language Model · IEEE Trans. Inf. Forensics Secur. 2025
Blockchain and cryptocurrency security
decentralized finance
0.912025
Detecting DeFi Fraud With a Graph-Transformer Language Model · IEEE Trans. Inf. Forensics Secur. 2025
Blockchain and cryptocurrency security
fraud detection
0.912025
Detecting DeFi Fraud With a Graph-Transformer Language Model · IEEE Trans. Inf. Forensics Secur. 2025

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

language model · 1.7graph transformer · 1.7
YearPublicationVenuePosition
2025 Detecting DeFi Fraud With a Graph-Transformer Language Model
Wei Ma 0014, Jiaxi Qiu, Cong Wu 0003, Jing Chen 0003, Lingxiao Jiang, Shangqing Liu, Yang Liu 0003, Yang Xiang 0001
IEEE Trans. Inf. Forensics Secur.3