Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments. - Xizhe Wang; Pengze Wu; Guang Liu; Qionghao Huang; Xiaoling Hu 004; Haijiao Xu (Computing, 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)

Adaptive resource prefetching with spatial-temporal and topic information for educational cloud storage systems. - Qionghao Huang; Changqin Huang; Jin Huang 007; Hamido Fujita (Knowl. Based Syst., 2019)

Clothing Landmark Detection Using Deep Networks With Prior of Key Point Associations. - Chang-Qin Huang; Jikai Chen; Yan Pan 002; Hanjiang Lai; Jian Yin 001; Qionghao Huang (IEEE Trans. Cybern., 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)

Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing. - Changqin Huang; Qionghao Huang; Dianhui Wang 001 (IEEE Trans. Ind. Informatics, 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)

Exploring students' digital informal learning: the roles of digital competence and DTPB factors. - Tao He; Qionghao Huang; Xiaofeng Yu; Shihua Li 004 (Behav. Inf. Technol., 2021)

Facial expression recognition with grid-wise attention and visual transformer. - Qionghao Huang; Changqin Huang; Xizhe Wang; Fan Jiang (Inf. Sci., 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)

SGKT: Session graph-based knowledge tracing for student performance prediction. - Zhengyang Wu 001; Li Huang; Qionghao Huang; Changqin Huang; Yong Tang 001 (Expert Syst. Appl., 2022)

FER-CHC: Facial expression recognition with cross-hierarchy contrast. - Xuemei Wu; Jie He; Qionghao Huang; Changqin Huang; Jia Zhu 003; Xiaodi Huang; Hamido Fujita (Appl. Soft Comput., 2023)

Face2Nodes: Learning facial expression representations with relation-aware dynamic graph convolution networks. - Fan Jiang; Qionghao Huang; Xiaoyong Mei; Quanlong Guan; Yaxin Tu; Weiqi Luo 002; Changqin Huang (Inf. Sci., 2023)

xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network. - Qionghao Huang; Jili Chen (CoRR, 2024)

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)

AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs. - Yi Wang 022; Changqin Huang; Ming Li 065; Qionghao Huang; Xuemei Wu; Jia Wu 001 (Pattern Recognit., 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)

Text-centered cross-sample fusion network for multimodal sentiment analysis. - Qionghao Huang; Jili Chen; Changqin Huang; Xiaodi Huang; Yi Wang 022 (Multim. Syst., 2024)

XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts. - Chang-Qin Huang; Qionghao Huang; Xiaodi Huang; Hua Wang 002; Ming Li 065; Kwei-Jay Lin; Yi Chang (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing academic performance prediction with temporal graph networks for massive open online courses. - Qionghao Huang; Jili Chen (J. Big Data, 2024)

ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection. - Tingyi Cai; Yunliang Jiang; Ming Li 065; Changqin Huang; Yi Wang 022; Qionghao Huang (AAAI, 2025)

Remote sensing scene classification with relation-aware dynamic graph neural networks. - Qionghao Huang; Fan Jiang; Changqin Huang (Eng. Appl. Artif. Intell., 2025)

AtCAF: Attention-based causality-aware fusion network for multimodal sentiment analysis. - Changqin Huang; Jili Chen; Qionghao Huang; Shijin Wang; Yaxin Tu; Xiaodi Huang (Inf. Fusion, 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)

A Memetic Walrus Algorithm with Expert-guided Strategy for Adaptive Curriculum Sequencing. - Qionghao Huang; Lingnuo Lu; Xuemei Wu; Fan Jiang; Xizhe Wang; Xun Wang (CoRR, 2025)

Actual Cause-Guided Adaptive Gradient Scaling for Balanced Multimodal Sentiment Analysis. - Jili Chen; Qionghao Huang; Changqin Huang; Xiaodi Huang (ACM Trans. Multim. Comput. Commun. Appl., 2025)