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publications
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.
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.
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.
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.
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.
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.
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.
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.
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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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, 2019.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Fundamentals of Artificial Intelligence
Undergraduate course, Zhejiang Normal University, School of Education, 2023
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Modern Educational Technology and Application
Under, Zhejiang Normal University, School of Computer Science, 2023
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Data Structures and Algorithms
Undergraduate course, Zhejiang Normal University, School of Education, 2024
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