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

Zui Chu

dblp:178/8684 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

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.

Theoretical computer science
1 paper
Graph algorithms and graph theory · 100%
Artificial intelligence
1 paper
Graph learning · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Graph learning
graph metric learning
0.112016
Learning Expected Hitting Time Distance · AAAI 2016

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

graph random walk · 0.5expected hitting time · 0.5
YearPublicationVenuePosition
2016 Learning Expected Hitting Time Distance
De-Chuan Zhan, Zui Chu, Zhi-Hua Zhou
AAAI3