Home › Entities › Human › Xindong Wu

Xindong Wu

computer science researcher
Person Human Q28861736

Facts

8 properties
Instance of
human
Sex or gender
male[9]
Date of birth
2000
Occupation
researcher, computer scientist
Employer
University of Louisiana at Lafayette, University of Vermont, Hefei University of Technology[4][5][6]
Educated at
University of Edinburgh, Hefei University of Technology[7]
Award received
Fellow of the American Association for the Advancement of Science[8]
Official website
xwu.bigke.org, xwu.zhonghuapu.com[10][11]
🏷️ Also known as
en Xindong Wu
🔖 Identifiers · 24
ISNI
0000000116765305
ORCID iD
0000-0003-2396-1704
VIAF cluster ID
77135695
Library of Congress Authorities ID
n95092028
GND ID
138662290
ACM Digital Library author ID
81452596585
BIBSYS ID
98028791
Canadiana Name Authority ID
ncf12104122
CiNii Research ID
1140282266766743552
DBLP author ID
59/4107
DDB person (GND) ID
138662290
Google Scholar author ID
X8sHmqIAAAAJ
Show all 24 identifiers +12
HKCAN ID
9811107996503406
IEEE Xplore author ID
37281236800
IdRef ID
078860148
J9U entity ID
987007436881005171
NACSIS-CAT author ID
DA11242307
NL CR AUT ID
vse2009551753
NUKAT ID
n99066160
National Library of Lithuania ID
LNB:V*365549;=BS
Nationale Thesaurus voor Auteursnamen ID
169133931
RERO ID (legacy)
A003987765
Scopus author ID
55533800700
Yale LUX ID
person/0102870b-64ed-4f71-b822-1b849fb3ed5a

Report an error or request removal Lineage (PROV-JSON)

🔗 Connections
Author of 193
A Chinese power text classification algorithm based on deep active learning, A coarse-to-fine collective entity linking method for heterogeneous information networks, Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph Completion, A deep selective learning network for cross-domain recommendation, Adversarial Heterogeneous Graph Neural Network for Robust Recommendation, A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model, A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization, A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity +185 more
← Authored by 193
A Chinese power text classification algorithm based on deep active learning, A coarse-to-fine collective entity linking method for heterogeneous information networks, Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph Completion, A deep selective learning network for cross-domain recommendation, Adversarial Heterogeneous Graph Neural Network for Robust Recommendation, A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model, A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization, A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity +185 more
Affiliated with 14
University of Arkansas, University of Vermont, University of Louisiana at Lafayette, Ministry of Education of the People's Republic of China, University of Massachusetts Boston, Hefei University of Technology, North University of China, Shanxi University +6 more
Press Enter · cited answer in seconds

Summary

Xindong Wu was born in 2000[1]. He has worked as a researcher[2] and computer scientist[3].

FAQs

What did Xindong Wu do for work?

Xindong Wu worked as a researcher[2] and computer scientist[3].

Where did Xindong Wu go to school?

Xindong Wu was educated at Hefei University of Technology[7].

What awards did Xindong Wu receive?

Honors received include Fellow of the American Association for the Advancement of Science[8].

Related Entities

Hefei University Hefei University of Technology Institute of Software, Chinese Academy of Sciences North University of China Shanxi University University of Louisiana at Lafayette University of Massachusetts Boston Zhejiang Lab

References

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

Direct Wikidata claims

  1. [9] ↑ . Integrated Authority File. Retrieved . wikidata.org.
  2. [7] ↑ . computer.org. computer.org. Provenance: wikidata.org.
  3. [2] ↑ . wikidata.org.
  4. [3] ↑ . Integrated Authority File. Retrieved . wikidata.org.
  5. [4] ↑ . web.archive.org. Retrieved . web.archive.org. Provenance: wikidata.org.
  6. [5] ↑ . computer.org. computer.org. Provenance: wikidata.org.
  7. [6] ↑ . ORCID Public Data File 2023. Retrieved . pub.orcid.org. Provenance: wikidata.org.
  8. [8] ↑ . aaas.org. aaas.org. Provenance: wikidata.org.
  9. [1] ↑ . wikidata.org.
  10. [10] ↑ . wikidata.org.
  11. [11] ↑ . 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). Xindong Wu. Retrieved October 30, 2026, from https://4ort.xyz/entity/xindong-wu
MLA “Xindong Wu.” 4ort.xyz Knowledge Graph, 4ort.xyz, 30 Oct. 2026, https://4ort.xyz/entity/xindong-wu.
BibTeX @misc{4ortxyz_xindong-wu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Xindong Wu}}, year = {2026}, url = {https://4ort.xyz/entity/xindong-wu}, note = {Accessed: 2026-10-30}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Xindong Wu — https://4ort.xyz/entity/xindong-wu (retrieved 2026-10-30)

Canonical URL: https://4ort.xyz/entity/xindong-wu · Last refreshed:

Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 25w ago · Epìdosis · 2026-05-20 view diff on Wikidata ↗
    Educated at → University of Edinburgh, Hefei University of Technology
    Google Scholar author ID → X8sHmqIAAAAJ
    CiNii Research ID → 1140282266766743552
    Library of Congress Authorities ID → n95092028
    + 29 other properties edited (see Wikidata diff for full list)
    "Changed the item: QuickStatements 3.0 batch #32083: import P21 and P106 from GND (25)"
Live feed via Wikidata EventStreams. New edits appear within minutes of being made on Wikidata.