Gongjun Xu
researcher
Facts
8 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University of Michigan (2017–2020), University of Minnesota (2013–2016), University of Michigan (2020–present)[2][3][4]
- Educated at
- Columbia University[5]
- Doctoral advisor
- Zhiliang Ying, Jingchen Liu[6][7]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Gongjun Xu
🔖 Identifiers · 7
- ORCID iD
- 0000-0003-4023-5413
- OpenAlex ID
- A5027989356as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Academic Tree ID
- 406946
- Google Knowledge Graph ID
- /g/11f0z_g68h
- Google Scholar author ID
- ZsdrE8wAAAAJ
- MR Author ID
- 999186
- Mathematics Genealogy Project ID
- 185388
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 27
Adaptive testing for association between two random vectors in moderate to high dimensions,
A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis,
A mixture hierarchical model for response times and response accuracy,
An adaptive two-sample test for high-dimensional means,
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses,
A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer Based Testing,
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis,
Debiased Inference on Treatment Effect in a High-Dimensional Model
+19 more
← Authored by 27
Adaptive testing for association between two random vectors in moderate to high dimensions,
A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis,
A mixture hierarchical model for response times and response accuracy,
An adaptive two-sample test for high-dimensional means,
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses,
A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer Based Testing,
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis,
Debiased Inference on Treatment Effect in a High-Dimensional Model
+19 more
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Summary
Gongjun Xu worked as a researcher[1].
Body
Education
Doctoral advisors include Zhiliang Ying[6], a statistician[12], b. 1960[13], of United States[14], awarded the Fellow of the Institute of Mathematical Statistics[15] and Jingchen Liu[7], a researcher[16].
Career and Affiliations
Employers include University of Michigan[2], a public research university[17], in United States[18], founded in 1817[19], headquartered in Ann Arbor[20] and University of Minnesota[3], a public research university[21], in United States[22], founded in 1851[23], headquartered in Minneapolis[24]. Doctoral students include April Cho[9]; Yuqi Gu[10], a statistician[25]; and Zhuoran Shang[11].
FAQs
What did Gongjun Xu do for work?
Gongjun Xu worked as researcher[1].
Where did Gongjun Xu go to school?
Gongjun Xu was educated at Columbia University[5].