Gongjun Xu
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Gongjun Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joseph B. Kruskal
- Jonathan Templin
- Jimmy de la Torre
- Robert Henson
- Sarah M. Hartz
- Brian W. Junker
- Jacqueline P. Leighton
- Andre A. Rupp
- Elizabeth S. Allman
- Klaas Sijtsma
Who trusts Gongjun Xu overall
Papers from Gongjun Xu's perspective
Ordered by how strongly the researchers Gongjun Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Higher-order latent trait models for cognitive diagnosis
- A Bayesian framework for the unified model for assessing cognitive abilities: Blending theory with practicality.
- Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory
- Diagnostic Measurement: Theory, Methods, and Applications
- Measurement of psychological disorders using cognitive diagnosis models. (Psychological methods)
- On the Analysis of Fraction Subtraction Data: The DINA Model, Classification, Latent Class Sizes, and the Q-Matrix
- Exploratory latent structure analysis using both identifiable and unidentifiable models
- The Attribute Hierarchy Method for Cognitive Assessment: A Variation on Tatsuoka's Rule-Space Approach
- Item Response Theory
- Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables
Their papers
- Identifiability of restricted latent class models with binary responses (2016) — 105 citations