Jingchen Liu

发表

Generalized Sequential Probability Ratio Test for Separate Families of Hypotheses

Z. Ying, Xiaoou Li, Jingchen Liu, 2014, Sequential analysis.

Statistical Analysis of Q-Matrix Based Diagnostic Classification Models

Z. Ying, Yunxiao Chen, Gongjun Xu, 2015, Journal of the American Statistical Association.

Latent Variable Selection for Multidimensional Item Response Theory Models via $$L_{1}$$L1 Regularization

Zhiliang Ying, Yunxiao Chen, Tao Xin, 2016 .

Learning Item-Attribute Relationship in Q-Matrix Based Diagnostic Classification Models

Z. Ying, Gongjun Xu, Jingchen Liu, 2011, 1106.0721.

Optimal Stopping and Worker Selection in Crowdsourcing: an Adaptive Sequential Probability Ratio Test Framework

Xi Chen, Jingchen Liu, Zhiliang Ying, 2017, Statistica Sinica.

Robust Measurement via A Fused Latent and Graphical Item Response Theory Model

Z. Ying, Yunxiao Chen, Xiaoou Li, 2018, Psychometrika.

Latent Feature Extraction for Process Data via Multidimensional Scaling

Z. Ying, Qiwei He, Jingchen Liu, 2020, Psychometrika.

On the Identifiability of Diagnostic Classification Models

Z. Ying, Jingchen Liu, Guanhua Fang, 2019, Psychometrika.

A Rate Function Approach to Computerized Adaptive Testing for Cognitive Diagnosis

Z. Ying, Stephanie S. Zhang, Jingchen Liu, 2013, Psychometrika.

Accurate Assessment via Process Data

Z. Ying, Jingchen Liu, Susu Zhang, 2021, Psychometrika.

Item Response Theory -- A Statistical Framework for Educational and Psychological Measurement

Zhiliang Ying, Yunxiao Chen, Xiaoou Li, 2021, 2108.08604.

Robust Measurement via A Fused Latent and Graphical Item Response Theory Model

Jingchen Liu, Zhiliang Ying, Yunxiao Chen, 2018, Psychometrika.

Sequential Hypothesis Test With Online Usage-Constrained Sensor Selection

Xiaodong Wang, Xiaoou Li, Jingchen Liu, 2016, IEEE Transactions on Information Theory.

Recommendation System for Adaptive Learning

Jingchen Liu, Zhiliang Ying, Yunxiao Chen, 2018, Applied psychological measurement.

A Fused Latent and Graphical Model for Multivariate Binary Data

Jingchen Liu, Zhiliang Ying, Yunxiao Chen, 2016, 1606.08925.

On the Identifiability of Diagnostic Classification Models

Jingchen Liu, Zhiliang Ying, Guanhua Fang, 2017, Psychometrika.

Chernoff Index for Cox Test of Separate Parametric Families.

Z. Ying, Xiaoou Li, Jingchen Liu, 2016, Annals of statistics.

A reinforcement learning approach to personalized learning recommendation systems

Jingchen Liu, Zhiliang Ying, Yunxiao Chen, 2018, The British journal of mathematical and statistical psychology.

Latent Feature Extraction for Process Data via Multidimensional Scaling

Zhi Wang, Zhiliang Ying, Qiwei He, 2019, Psychometrika.

Multi-sensor generalized sequential probability ratio test using level-triggered sampling

Xiaodong Wang, Xiaoou Li, Jingchen Liu, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Decentralized Sequential Composite Hypothesis Test Based on One-Bit Communication

Xiaodong Wang, Jingchen Liu, Shang Li, 2015, IEEE Transactions on Information Theory.

A Graphical Diagnostic Classification Model

Jingchen Liu, Zhiliang Ying, Hyeon-Ah Kang, 2017 .

External Correlates of Adult Digital Problem-Solving Behavior: Log Data Analysis of a Large-Scale Assessment

Zhiliang Ying, Qiwei He, Xueying Tang, 2021, 2103.15036.

An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder

Zhiliang Ying, Zhi Wang, Xueying Tang, 2019, The British journal of mathematical and statistical psychology.

Exploratory Item Classification Via Spectral Graph Clustering

Jingchen Liu, Zhiliang Ying, Yunxiao Chen, 2017, Applied psychological measurement.

Hypothesis Testing of the Q-matrix

Jingchen Liu, Zhiliang Ying, Gongjun Xu, 2018, Psychometrika.

Data-Driven Learning of Q-Matrix

Jingchen Liu, Zhiliang Ying, Gongjun Xu, 2012, Applied psychological measurement.

Theory of the Self-learning Q-Matrix.

Jingchen Liu, Zhiliang Ying, Gongjun Xu, 2010, Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability.

Latent Class Analysis of Recurrent Events in Problem-Solving Items

Jingchen Liu, Zhiliang Ying, Yunxiao Chen, 2018, Applied psychological measurement.

Regularized Latent Class Analysis with Application in Cognitive Diagnosis

Jingchen Liu, Zhiliang Ying, Yunxiao Chen, 2017, Psychometrika.

Regularized Latent Class Analysis with Application in Cognitive Diagnosis

Z. Ying, Yunxiao Chen, Xiaoou Li, 2016, Psychometrika.

Statistical Analysis of Multi-Relational Network Recovery

Jingchen Liu, Xueying Tang, Zhi Wang, 2020, Frontiers in Applied Mathematics and Statistics.