Qionghao Huang
Orcid: 0000-0002-5041-6093
According to our database1,
Qionghao Huang authored at least 42 papers
between 2019 and 2026.
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Bibliography
2026
Understanding learners' collaborative reflection in an online learning community: a consideration of cognitive and social interactions.
Educ. Inf. Technol., April, 2026
CuGNN: Cross-perspective contrastive learning for enhancing unsupervised GNNs beyond homophily.
Int. J. Mach. Learn. Cybern., March, 2026
Survey on Remote Sensing Scene Classification: From Traditional Methods to Large Generative AI Models.
CoRR, March, 2026
UCMIB-PNS: Balancing Sufficiency and Necessity With Probabilistic Causality and Cross-Modal Uncertainty in Multimodal Sentiment Analysis.
IEEE Trans. Affect. Comput., 2026
A Deep Hybrid Recommendation Method for Multimodal Information Integrating Content Generated by Large Language Models.
Inf., 2026
TVAE-GAN: A Generative Model for Providing Early Warnings to High-Risk Students in Basic Education and Its Explanation.
Inf., 2026
CaReKGC: A causal-guided structural reasoning framework for LLM-based knowledge graph completion.
Expert Syst. Appl., 2026
NEXPRO: Multimodal negative expression prompting for open-set video-based facial expression recognition.
Expert Syst. Appl., 2026
Context-aware latent space mediation for inference-time unbiased semantic alignment in text-to-image models.
Expert Syst. Appl., 2026
Prompting multimodal vision-language models for automated student engagement prediction.
Eng. Appl. Artif. Intell., 2026
2025
Actual Cause-Guided Adaptive Gradient Scaling for Balanced Multimodal Sentiment Analysis.
ACM Trans. Multim. Comput. Commun. Appl., June, 2025
A Memetic Walrus Algorithm with Expert-guided Strategy for Adaptive Curriculum Sequencing.
CoRR, June, 2025
Predicting student burnout in blended environments: a complementary PLS-SEM and machine learning approach.
Interact. Learn. Environ., March, 2025
PAMoE-MSA: polarity-aware mixture of experts network for multimodal sentiment analysis.
Int. J. Multim. Inf. Retr., March, 2025
Enhancing MOOC Recommendation Through Preference-Aware Knowledge Graph Diffusion and Temporal Sequence Modeling.
Inf., 2025
AtCAF: Attention-based causality-aware fusion network for multimodal sentiment analysis.
Inf. Fusion, 2025
Remote sensing scene classification with relation-aware dynamic graph neural networks.
Eng. Appl. Artif. Intell., 2025
$$\text {H}^2\text {CAN}$$: heterogeneous hypergraph attention network with counterfactual learning for multimodal sentiment analysis.
Complex Intell. Syst., 2025
CAAI Trans. Intell. Technol., 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Enhancing academic performance prediction with temporal graph networks for massive open online courses.
J. Big Data, December, 2024
XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts.
IEEE Trans. Knowl. Data Eng., November, 2024
Multim. Syst., August, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs.
Pattern Recognit., 2024
Learning consistent representations with temporal and causal enhancement for knowledge tracing.
Expert Syst. Appl., 2024
xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network.
CoRR, 2024
Complex Intell. Syst., 2024
2023
Face2Nodes: Learning facial expression representations with relation-aware dynamic graph convolution networks.
Inf. Sci., November, 2023
Appl. Soft Comput., September, 2023
2022
Expert Syst. Appl., 2022
GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network.
Appl. Intell., 2022
2021
Fine-grained learning performance prediction via adaptive sparse self-attention networks.
Inf. Sci., 2021
Inf. Sci., 2021
Exploring students' digital informal learning: the roles of digital competence and DTPB factors.
Behav. Inf. Technol., 2021
2020
WIREs Data Mining Knowl. Discov., 2020
Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing.
IEEE Trans. Ind. Informatics, 2020
Sentiment Evolutions in Blended Learning Contexts: Investigating Dynamic Interactions Using Simulation Investigation for Empirical Social Network Analysis.
Proceedings of the Blended Learning. Education in a Smart Learning Environment, 2020
2019
Clothing Landmark Detection Using Deep Networks With Prior of Key Point Associations.
IEEE Trans. Cybern., 2019
Adaptive resource prefetching with spatial-temporal and topic information for educational cloud storage systems.
Knowl. Based Syst., 2019
Learning peer recommendation using attention-driven CNN with interaction tripartite graph.
Inf. Sci., 2019
Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments.
Computing, 2019