Qionghao Huang

He/His

He is currently an associate professor at Zhejiang Normal University, Jinhua, Zhejiang, China. His main research interests include deep learning methods, knowledge tracing, cloud computing, big data mining and intelligent education application. He is a member of CAAI, CCF and IEEE Computer Society. He is the Editor Board Member and A.E. of Plos One (JCR, Q1), the Young Editor Board Member of Automation & Information Engineering.

Publications

You can also find my articles on my Google Scholar profile.

AtCAF: Attention-based causality-aware fusion network for multimodal sentiment analysis

Published in Information Fusion, 2025

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Recommended citation: Changqin Huang, Jili Chen, Qionghao Huang*, Shijin Wang, Yaxin Tu, Xiaodi Huang, "AtCAF: Attention-based causality-aware fusion network for multimodal sentiment analysis." Information Fusion, 2025.

Predicting student burnout in blended environments: a complementary PLS-SEM and machine learning approach

Published in Interactive Learning Environments, 2024

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Recommended citation: Yaxin Tu, Changqin Huang, Qiyun Wang, Yougen Zhou, Zhongmei Han, Qionghao Huang, "Predicting student burnout in blended environments: a complementary PLS-SEM and machine learning approach." Interactive Learning Environments, 2024.

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

Published in Multimedia Systems, 2024

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Recommended citation: Qionghao Huang*, Jili Chen, Changqin Huang, Xiaodi Huang, Yi Wang, "Text-centered cross-sample fusion network for multimodal sentiment analysis." Multimedia Systems, 2024.

XKT: Towards eXplainable Knowledge Tracing Model with Cognitive Learning Theories for Questions of Multiple Knowledge Concepts

Published in IEEE Transaction on Knowledge and Data Engineering, 2024

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Recommended citation: Changqin Huang, Qionghao Huang*, Xiaodi Huang, Hua Wang*, Ming Li, Kweijay Lin, Yi Chang, "XKT: Towards eXplainable Knowledge Tracing Model with Cognitive Learning Theories for Questions of Multiple Knowledge Concepts." IEEE Transaction on Knowledge and Data Engineering, 2024.

Enhancing Academic Performance Prediction with Temporal Graph Networks for Massive Open Online Courses

Published in Journal of Big Data, 2024

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Recommended citation: Qionghao Huang*, Jili Chen, "Enhancing Academic Performance Prediction with Temporal Graph Networks for Massive Open Online Courses." Journal of Big Data, 2024.

Learning consistent representations with temporal and causal enhancement for knowledge tracing

Published in Expert Systems with Applications, 2024

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Recommended citation: Changqin Huang, Hangjie Wei, Qionghao Huang*, Fan Jiang, Zhongmei Han, Xiaodi Huang, "Learning consistent representations with temporal and causal enhancement for knowledge tracing." Expert Systems with Applications, 2024.

Improving academic performance predictions with dual graph neural networks

Published in Complex & Intelligent Systems, 2024

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Recommended citation: Qionghao Huang*, Yan Zeng, "Improving academic performance predictions with dual graph neural networks." Complex & Intelligent Systems, 2024.

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

Published in Pattern Recognition, 2024

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Recommended citation: Yi Wang, Changqin Huang, Ming Li, Qionghao Huang, Xuemei Wu, Jia Wu, "AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs." Pattern Recognition, 2024.

Face2nodes: learning facial expression representations with relation-aware dynamic graph convolution networks

Published in Information Sciences, 2023

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Recommended citation: Fan Jiang, Qionghao Huang, Xiaoyong Mei, Quanlong Guan, Yaxin Tu, Weiqi Luo, Changqin Huang, "Face2nodes: learning facial expression representations with relation-aware dynamic graph convolution networks." Information Sciences, 2023.

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

Published in Applied Soft Computing, 2023

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Recommended citation: Xuemei Wu, Jie He, Qionghao Huang*, Changqin Huang, Jia Zhu, Xiaodi Huang, Hamido Fujita, "FER-CHC: Facial expression recognition with cross-hierarchy contrast." Applied Soft Computing, 2023.

Emotion recognition from large-scale video clips with cross-attention and hybrid feature weighting neural networks

Published in International Journal of Environmental Research and Public Health, 2023

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Recommended citation: Siwei Zhou, Xuemei Wu, Fan Jiang, Qionghao Huang*, Changqin Huang, "Emotion recognition from large-scale video clips with cross-attention and hybrid feature weighting neural networks." International Journal of Environmental Research and Public Health, 2023.

Study on the Enhancement Mechanism of Online Collaborative Learning from the Perspective of Cognitive Load

Published in Research in Educational Technology, 2022

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Recommended citation: Xizhe Wang, Yaxin Tu, Linjie Zhang, Qionghao Huang, "Study on the Enhancement Mechanism of Online Collaborative Learning from the Perspective of Cognitive Load." Research in Educational Technology, 2022.

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

Published in Expert Systems with Applications, 2022

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Recommended citation: Zhengyang Wu, Li Huang, Qionghao Huang, Changqin Huang, Yong Tang, "SGKT: Session graph-based knowledge tracing for student performance prediction." Expert Systems with Applications, 2022.

GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network

Published in Applied Intelligence, 2022

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Recommended citation: Zhongmei Han, Qionghao Huang, Jie Zhang, Changqin Huang, Huijin Wang, Xiaodi Huang, "GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network." Applied Intelligence, 2022.

Dual-graph attention convolution network for 3-D point cloud classification

Published in IEEE Transactions on Neural Networks and Learning Systems, 2022

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Recommended citation: Chang-Qin Huang, Fan Jiang, Qiong-Hao Huang, Xi-Zhe Wang, Zhong-Mei Han, Wei-Yu Huang, "Dual-graph attention convolution network for 3-D point cloud classification." IEEE Transactions on Neural Networks and Learning Systems, 2022.

Dckt: A novel dual-centric learning model for knowledge tracing

Published in Sustainability, 2022

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Recommended citation: Yixuan Chen, Shuang Wang, Fan Jiang, Yaxin Tu, Qionghao Huang*, "Dckt: A novel dual-centric learning model for knowledge tracing." Sustainability, 2022.

Fine-grained learning performance prediction via adaptive sparse self-attention networks

Published in Information Sciences, 2021

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Recommended citation: Xizhe Wang, Xiaoyong Mei, Qionghao Huang, Zhongmei Han, Changqin Huang, "Fine-grained learning performance prediction via adaptive sparse self-attention networks." Information Sciences, 2021.

Facial expression recognition with grid-wise attention and visual transformer

Published in Information Sciences, 2021

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Recommended citation: Qionghao Huang, Changqin Huang, Xizhe Wang, Fan Jiang, "Facial expression recognition with grid-wise attention and visual transformer." Information Sciences, 2021.

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

Published in Behaviour & Information Technology, 2021

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Recommended citation: Tao He, Qionghao Huang, Xiaofeng Yu, Shihua Li, "Exploring students’ digital informal learning: the roles of digital competence and DTPB factors." Behaviour & Information Technology, 2021.

Sentiment evolutions in blended learning contexts: Investigating dynamic interactions using simulation investigation for empirical social network analysis

Published in In the proceedings of Blended Learning. Education in a Smart Learning Environment: 13th International Conference, ICBL 2020, Bangkok, Thailand, August 24--27, 2020, Proceedings 13, 2020

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Recommended citation: Zhongmei Han, Changqin Huang, Qionghao Huang, Jianhui Yu, "Sentiment evolutions in blended learning contexts: Investigating dynamic interactions using simulation investigation for empirical social network analysis." In the proceedings of Blended Learning. Education in a Smart Learning Environment: 13th International Conference, ICBL 2020, Bangkok, Thailand, August 24--27, 2020, Proceedings 13, 2020.

A review on sentiment discovery and analysis of educational big-data

Published in Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2020

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Recommended citation: Zhongmei Han, Jiyi Wu, Changqin Huang, Qionghao Huang, Meihua Zhao, "A review on sentiment discovery and analysis of educational big-data." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2020.

Study on the Enhancement Mechanism of Online Collaborative Learning from the Perspective of Cognitive Load

Published in Research in Educational Technology, 2019

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Stochastic configuration networks based adaptive storage replica management for power big data processing

Published in IEEE Transactions on Industrial Informatics, 2019

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Recommended citation: Changqin Huang, Qionghao Huang, Dianhui Wang, "Stochastic configuration networks based adaptive storage replica management for power big data processing." IEEE Transactions on Industrial Informatics, 2019.

Research on Behavior Big Data Visualization for Supporting Personalized Learning

Published in Open Education Research, 2019

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Recommended citation: Changqin Huang, Ning Zhu, Qionghao Huang, Zhongmei Han, "Research on Behavior Big Data Visualization for Supporting Personalized Learning." Open Education Research, 2019.

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

Published in Computing, 2019

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Recommended citation: Xizhe Wang, Pengze Wu, Guang Liu, Qionghao Huang, Xiaoling Hu, Haijiao Xu, "Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments." Computing, 2019.

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

Published in Information Sciences, 2019

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Recommended citation: Qintai Hu, Zhongmei Han, Xiaofan Lin, Qionghao Huang, Xiaomei Zhang, "Learning peer recommendation using attention-driven CNN with interaction tripartite graph." Information Sciences, 2019.

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

Published in Knowledge-Based Systems, 2019

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Recommended citation: Qionghao Huang, Changqin Huang, Jin Huang, Hamido Fujita, "Adaptive resource prefetching with spatial--temporal and topic information for educational cloud storage systems." Knowledge-Based Systems, 2019.

Clothing landmark detection using deep networks with prior of key point associations

Published in IEEE transactions on cybernetics, 2018

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Recommended citation: Chang-Qin Huang, Ji-Kai Chen, Yan Pan, Han-Jiang Lai, Jian Yin, Qiong-Hao Huang, "Clothing landmark detection using deep networks with prior of key point associations." IEEE transactions on cybernetics, 2018.

Automatic Image Annotation Based on Hidden Markov Model and Convolutional Neural Network

Published in Comput. Sci. Appl, 2018

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Recommended citation: Haijiao Xu, Qionghao Huang, Fan Wang, Yao Wen, Meihua Zhao, "Automatic Image Annotation Based on Hidden Markov Model and Convolutional Neural Network." Comput. Sci. Appl, 2018.

Big data based service platform and its typical applications of electric power industries

Published in In the proceedings of Proc. 2nd Int. Conf. Energy, Power, Elect. Eng., 2017

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Recommended citation: Qiong-hao Huang, Jin Huang, Xi-zhe Wang, Chang-qin Huang, Xing-chen Heng, "Big data based service platform and its typical applications of electric power industries." In the proceedings of Proc. 2nd Int. Conf. Energy, Power, Elect. Eng., 2017.