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Naiyao Liang

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
Guangzhou Maritime Universityas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0003-0946-7494
OpenAlex ID
A5061808399, A5123978732as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
Co-attention fusion based deep neural network for Chinese medical answer selection, Co-consensus semi-supervised multi-view learning with orthogonal non-negative matrix factorization, Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation, Incomplete Multiview Clustering With Cross-View Feature Transformation, Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization, Incomplete Multi-view Clustering with Sample-level Auto-weighted Graph Fusion, Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise, Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints +3 more
← Authored by 11
Co-attention fusion based deep neural network for Chinese medical answer selection, Co-consensus semi-supervised multi-view learning with orthogonal non-negative matrix factorization, Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation, Incomplete Multiview Clustering With Cross-View Feature Transformation, Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization, Incomplete Multi-view Clustering with Sample-level Auto-weighted Graph Fusion, Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise, Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints +3 more
Affiliated with 1
Guangdong University of Technology
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Summary

Naiyao Liang is a human[1].

Related Entities

Guangdong University of Technology

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Naiyao Liang. Retrieved October 25, 2026, from https://4ort.xyz/entity/naiyao-liang
MLA “Naiyao Liang.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/naiyao-liang.
BibTeX @misc{4ortxyz_naiyao-liang_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Naiyao Liang}}, year = {2026}, url = {https://4ort.xyz/entity/naiyao-liang}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Naiyao Liang — https://4ort.xyz/entity/naiyao-liang (retrieved 2026-10-25)

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