Saixiong Liu

dblp:276/8155 · DBLP profile ↗
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3ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-0813-5052ORCID · corroborated

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

Artificial intelligence and machine learning · 3 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.

Artificial intelligence
1 paper
Learning theory · 33% Kernel, tree and ensemble methods · 33% Probabilistic and Bayesian machine learning · 33%

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

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning
causal inference
0.812024
PHSIC against Random Consistency and Its Application in Causal Inference · IJCAI 2024
Machine learning › Learning theory
dependence measure
0.812024
PHSIC against Random Consistency and Its Application in Causal Inference · IJCAI 2024
Machine learning › Kernel, tree and ensemble methods › kernel methods
hilbert-schmidt independence criterion
0.812024
PHSIC against Random Consistency and Its Application in Causal Inference · IJCAI 2024

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

random consistency · 0.8kernel methods · 0.8
YearPublicationVenuePosition
2024 PHSIC against Random Consistency and Its Application in Causal Inference
Jieting Wang, Saixiong Liu
IJCAI4
2021 Deep multi-kernel auto-encoder network for clustering brain functional connectivity data
Hu Lu, Saixiong Liu, Hui Wei 0001, Xia Geng
Neural Networks2
2020 Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network
Hu Lu, Saixiong Liu, Hui Wei 0001, Juanjuan Tu
Expert Syst. Appl.2