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Saiji Fu

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
Beijing University of Posts and Telecommunicationsas 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
0000-0002-5233-5094
OpenAlex ID
A5072629441as 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 15
A descriptive framework for the field of deep learning applications in medical images, Asymmetric and robust loss function driven least squares support vector machine, Cost-sensitive learning with modified Stein loss function, Cost sensitive <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1591" altimg="si115.svg"><mml:mi>ν</mml:mi></mml:math>-support vector machine with LINEX loss, Generalized robust loss functions for machine learning, Incomplete multi-view learning: Review, analysis, and prospects, Incomplete-view oriented kernel learning method with generalization error bound, Kernel methods with asymmetric and robust loss function +7 more
← Authored by 15
A descriptive framework for the field of deep learning applications in medical images, Asymmetric and robust loss function driven least squares support vector machine, Cost-sensitive learning with modified Stein loss function, Cost sensitive <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1591" altimg="si115.svg"><mml:mi>ν</mml:mi></mml:math>-support vector machine with LINEX loss, Generalized robust loss functions for machine learning, Incomplete multi-view learning: Review, analysis, and prospects, Incomplete-view oriented kernel learning method with generalization error bound, Kernel methods with asymmetric and robust loss function +7 more
Affiliated with 4
Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing University of Posts and Telecommunications, Beijing Institute of Big Data Research
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Summary

Saiji Fu is a human[1].

Related Entities

Beijing Institute of Big Data Research Beijing University of Posts and Telecommunications University of Chinese Academy of Sciences

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). Saiji Fu. Retrieved October 25, 2026, from https://4ort.xyz/entity/saiji-fu
MLA “Saiji Fu.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/saiji-fu.
BibTeX @misc{4ortxyz_saiji-fu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Saiji Fu}}, year = {2026}, url = {https://4ort.xyz/entity/saiji-fu}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Saiji Fu — https://4ort.xyz/entity/saiji-fu (retrieved 2026-10-25)

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