Investigating students' interaction patterns and dynamic learning sentiments in online discussions. - Chang-Qin Huang; Zhongmei Han; Ming-Xi Li; Morris Siu-yung Jong; Chin-Chung Tsai (Comput. Educ., 2019)

Learning peer recommendation using attention-driven CNN with interaction tripartite graph. - Qintai Hu; Zhongmei Han; Xiaofan Lin 001; Qionghao Huang; Xiaomei Zhang (Inf. Sci., 2019)

Sentiment Evolutions in Blended Learning Contexts: Investigating Dynamic Interactions Using Simulation Investigation for Empirical Social Network Analysis. - Zhongmei Han; Changqin Huang; Qionghao Huang; Jianhui Yu (ICBL, 2020)

A review on sentiment discovery and analysis of educational big-data. - Zhongmei Han; Jiyi Wu; Changqin Huang; Qionghao Huang; Meihua Zhao (WIREs Data Mining Knowl. Discov., 2020)

Identifying patterns of epistemic emotions with respect to interactions in massive online open courses using deep learning and social network analysis. - Zhongmei Han; Chang-Qin Huang; Jianhui Yu; Chin-Chung Tsai (Comput. Hum. Behav., 2021)

Fine-grained learning performance prediction via adaptive sparse self-attention networks. - Xizhe Wang; Xiaoyong Mei; Qionghao Huang; Zhongmei Han; Changqin Huang (Inf. Sci., 2021)

GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network. - Zhongmei Han; Qionghao Huang; Jie Zhang; Changqin Huang; Huijin Wang; Xiaodi Huang (Appl. Intell., 2022)

Promoting deep writing with immersive technologies: An SVVR-supported Chinese composition writing approach for primary schools. - Yuting Chen; Ming Li 065; Chang-Qin Huang; Zhongmei Han; Gwo-Jen Hwang; Gang Yang (Br. J. Educ. Technol., 2022)

Examining the relationship between peer feedback classified by deep learning and online learning burnout. - Changqin Huang; Yaxin Tu; Zhongmei Han; Fan Jiang; Fei Wu; Yunliang Jiang (Comput. Educ., 2023)

A Framework for Constructing a Technology -Enhanced Education Metaverse: Learner Engagement With Human-Machine Collaboration. - Zhongmei Han; Yaxin Tu; Changqin Huang (IEEE Trans. Learn. Technol., 2023)

Learning consistent representations with temporal and causal enhancement for knowledge tracing. - Changqin Huang; Hangjie Wei; Qionghao Huang; Fan Jiang; Zhongmei Han; Xiaodi Huang (Expert Syst. Appl., 2024)

Dual-Graph Attention Convolution Network for 3-D Point Cloud Classification. - Chang-Qin Huang; Fan Jiang; Qionghao Huang; Xizhe Wang; Zhongmei Han; Wei-Yu Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Identifying students' metacognition patterns by their needs for cognitive closure in human-GenAI collaboration. - Zhongmei Han; Ruyi Ying; Changqin Huang; Chin-Chung Tsai; Xinghua Wang; Tao He 007 (Comput. Educ., 2025)

Customising a Three-Stage Fade-Out Scaffolding for Collaborative Programming Learning: Effects on Programming Achievement, Self-Efficacy and Programming Behaviour. - Yin-rong Zhang; Zhongmei Han; Tao He 007; Changqin Huang; Fan Jiang; Gang Yang; Xue-mei Wu (J. Comput. Assist. Learn., 2025)

PAMoE-MSA: polarity-aware mixture of experts network for multimodal sentiment analysis. - Changqin Huang; Zhenheng Lin; Zhongmei Han; Qionghao Huang; Fan Jiang; Xiaodi Huang (Int. J. Multim. Inf. Retr., 2025)

Predicting student burnout in blended environments: a complementary PLS-SEM and machine learning approach. - Yaxin Tu; Changqin Huang; Qiyun Wang; Yougen Zhou; Zhongmei Han; Qionghao Huang (Interact. Learn. Environ., 2025)