Two-Stage Predictive Modeling for Identifying At-Risk Students. - Brett E. Shelton; Juan Yang 003; Jui-Long Hung; Xu Du (ICITL, 2018)

Improving Predictive Modeling for At-Risk Student Identification: A Multistage Approach. - Jui-Long Hung; Brett E. Shelton; Juan Yang 003; Xu Du (IEEE Trans. Learn. Technol., 2019)

An Integrated Framework Based on Latent Variational Autoencoder for Providing Early Warning of At-Risk Students. - Xu Du; Juan Yang 003; Jui-Long Hung (IEEE Access, 2020)

Using Convolutional Neural Network to Recognize Learning Images for Early Warning of At-Risk Students. - Zongkai Yang; Juan Yang 003; Kerry Rice; Jui-Long Hung; Xu Du (IEEE Trans. Learn. Technol., 2020)

A systematic meta-Review and analysis of learning analytics research. - Xu Du; Juan Yang 003; Brett E. Shelton; Jui-Long Hung; Mingyan Zhang (Behav. Inf. Technol., 2021)

Analyzing online discussion data for understanding the student's critical thinking. - Juan Yang 003; Xu Du; Jui-Long Hung; Chih-Hsiung Tu (Data Technol. Appl., 2022)

SMFNM: Semi-supervised multimodal fusion network with main-modal for real-time emotion recognition in conversations. - Juan Yang 003; Xuanxiong Dong; Xu Du (J. King Saud Univ. Comput. Inf. Sci., 2023)

Multi-grained fusion network with self-distillation for aspect-based multimodal sentiment analysis. - Juan Yang 003; Yali Xiao; Xu Du (Knowl. Based Syst., 2024)

Analyzing audiovisual data for understanding user's emotion in human-computer interaction environment. - Juan Yang 003; Zhenkun Li; Xu Du (Data Technol. Appl., 2024)

AMIFN: Aspect-guided multi-view interactions and fusion network for multimodal aspect-based sentiment analysis. - Juan Yang 003; Mengya Xu; Yali Xiao; Xu Du (Neurocomputing, 2024)