Qionghao Huang

According to our database, Qionghao Huang authored at least 28 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 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, June, 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., March, 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., March, 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

Remote sensing scene classification with relation-aware dynamic graph neural networks.

Qionghao Huang, Fan Jiang, Changqin Huang

Eng. Appl. Artif. Intell., 2025

ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection.

Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang, Yi Wang, Qionghao Huang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Enhancing academic performance prediction with temporal graph networks for massive open online courses.

Qionghao Huang, Jili Chen

J. Big Data, December, 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, Ming Li, Kwei-Jay Lin, Yi Chang

IEEE Trans. Knowl. Data Eng., November, 2024

Text-centered cross-sample fusion network for multimodal sentiment analysis.

Qionghao Huang, Jili Chen, Changqin Huang, Xiaodi Huang, Yi Wang

Multim. Syst., August, 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., April, 2024

AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs.

Yi Wang, Changqin Huang, Ming Li, Qionghao Huang, Xuemei Wu, Jia Wu

Pattern Recognit., 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

xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network.

Qionghao Huang, Jili Chen

CoRR, 2024

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, Changqin Huang

Inf. Sci., November, 2023

FER-CHC: Facial expression recognition with cross-hierarchy contrast.

Xuemei Wu, Jie He, Qionghao Huang, Changqin Huang, Jia Zhu, Xiaodi Huang, Hamido Fujita

Appl. Soft Comput., September, 2023

2022

SGKT: Session graph-based knowledge tracing for student performance prediction.

Zhengyang Wu, Li Huang, Qionghao Huang, Changqin Huang, Yong Tang

Expert Syst. Appl., 2022

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

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

Facial expression recognition with grid-wise attention and visual transformer.

Qionghao Huang, Changqin Huang, Xizhe Wang, Fan Jiang

Inf. Sci., 2021

Exploring students' digital informal learning: the roles of digital competence and DTPB factors.

Tao He, Qionghao Huang, Xiaofeng Yu, Shihua Li

Behav. Inf. Technol., 2021

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

Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing.

Changqin Huang, Qionghao Huang, Dianhui Wang

IEEE Trans. Ind. Informatics, 2020

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

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.

Chang-Qin Huang, Jikai Chen, Yan Pan, Hanjiang Lai, Jian Yin, Qionghao Huang

IEEE Trans. Cybern., 2019

Adaptive resource prefetching with spatial-temporal and topic information for educational cloud storage systems.

Qionghao Huang, Changqin Huang, Jin Huang, Hamido Fujita

Knowl. Based Syst., 2019

Learning peer recommendation using attention-driven CNN with interaction tripartite graph.

Qintai Hu, Zhongmei Han, Xiaofan Lin, Qionghao Huang, Xiaomei Zhang

Inf. Sci., 2019

Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments.

Xizhe Wang, Pengze Wu, Guang Liu, Qionghao Huang, Xiaoling Hu, Haijiao Xu

Computing, 2019