Publications by authors named "Zhiliang Ying"

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J
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach.
Jinxin Guo, Xin Xu, Guanhua Fang, Zhiliang Ying, Susu Zhang

Br J Math Stat Psychol· November 2025

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A path signature perspective of process data feature extraction.
Xueying Tang, Jingchen Liu, Zhiliang Ying

Br J Math Stat Psychol· November 2025

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Exact Exploratory Bi-factor Analysis: A Constraint-Based Optimization Approach.
Jiawei Qiao, Yunxiao Chen, Zhiliang Ying

Psychometrika· May 2025

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Diagnostic Classification Models for Testlets: Methods and Theory.
Xin Xu, Guanhua Fang, Jinxin Guo, Zhiliang Ying, Susu Zhang

Psychometrika· September 2024

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Accurate Assessment via Process Data.
Susu Zhang, Zhi Wang, Jitong Qi, Jingchen Liu, Zhiliang Ying

Psychometrika· March 2023

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Subtask analysis of process data through a predictive model.
Zhi Wang, Xueying Tang, Jingchen Liu, Zhiliang Ying

Br J Math Stat Psychol· February 2023

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Modeling Not-Reached Items in Timed Tests: A Response Time Censoring Approach.
Jinxin Guo, Xin Xu, Zhiliang Ying, Susu Zhang

Psychometrika· September 2022

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ProcData: An R Package for Process Data Analysis.
Xueying Tang, Susu Zhang, Zhi Wang, Jingchen Liu, Zhiliang Ying

Psychometrika· December 2021

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An exploratory analysis of the latent structure of process data via action sequence autoencoders.
Xueying Tang, Zhi Wang, Jingchen Liu, Zhiliang Ying

Br J Math Stat Psychol· February 2021

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A latent topic model with Markov transition for process data.
Haochen Xu, Guanhua Fang, Zhiliang Ying

Br J Math Stat Psychol· November 2020

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Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data.
Guanhua Fang, Zhiliang Ying

Psychometrika· September 2020

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Latent Feature Extraction for Process Data via Multidimensional Scaling.
Xueying Tang, Zhi Wang, Qiwei He, Jingchen Liu, Zhiliang Ying

Psychometrika· June 2020

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Regression Analysis of Doubly Truncated Data.
Zhiliang Ying, Wen Yu, Ziqiang Zhao, Ming Zheng

J Am Stat Assoc· May 2019

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A new semiparametric transformation approach to disease diagnosis with multiple biomarkers.
Ting Lyu, Zhiliang Ying, Hong Zhang

Stat Med· April 2019

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P
Power and sample size for dose-finding studies with survival endpoints under model uncertainty.
Qiqi Deng, Xiaofei Bai, Dacheng Liu, Dooti Roy, Zhiliang Ying

Biometrics· March 2019

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On the Identifiability of Diagnostic Classification Models.
Guanhua Fang, Jingchen Liu, Zhiliang Ying

Psychometrika· March 2019

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S
Statistical Analysis of Complex Problem-Solving Process Data: An Event History Analysis Approach.
Yunxiao Chen, Xiaoou Li, Jingchen Liu, Zhiliang Ying

Front Psychol· March 2019

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A reinforcement learning approach to personalized learning recommendation systems.
Xueying Tang, Yunxiao Chen, Xiaoou Li, Jingchen Liu, Zhiliang Ying

Br J Math Stat Psychol· February 2019

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R
Robust Measurement via A Fused Latent and Graphical Item Response Theory Model.
Yunxiao Chen, Xiaoou Li, Jingchen Liu, Zhiliang Ying

Psychometrika· September 2018

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Latent Class Analysis of Recurrent Events in Problem-Solving Items.
Haochen Xu, Guanhua Fang, Yunxiao Chen, Jingchen Liu, Zhiliang Ying

Appl Psychol Meas· September 2018

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H
Hypothesis Testing of the Q-matrix.
Yuqi Gu, Jingchen Liu, Gongjun Xu, Zhiliang Ying

Psychometrika· July 2018

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C
Chernoff Index for Cox Test of Separate Parametric Families.
Xiaoou Li, Jingchen Liu, Zhiliang Ying

Ann Stat· February 2018

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R
Recommendation System for Adaptive Learning.
Yunxiao Chen, Xiaoou Li, Jingchen Liu, Zhiliang Ying

Appl Psychol Meas· January 2018

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R
Regularized Latent Class Analysis with Application in Cognitive Diagnosis.
Yunxiao Chen, Xiaoou Li, Jingchen Liu, Zhiliang Ying

Psychometrika· September 2017

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E
Exploratory Item Classification Via Spectral Graph Clustering.
Yunxiao Chen, Xiaoou Li, Jingchen Liu, Gongjun Xu, Zhiliang Ying

Appl Psychol Meas· February 2017

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