He is currently an Associate Professor with the Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University. His research interests include educational big data, data mining, deep learning, and intelligent educational applications. Various research papers have been published in authoritative information science journals/SCI, like IEEE Transaction on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, Pattern Recognition, Information Sciences. 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.

Contacts

E-mail: qhhuang@m.scnu.edu.cn;qhhuang@zjnu.edu.cn;huangqionghao@live.com

Addr.: No. 688, Yingbin Road, Wucheng District, Jinhua 321004, Zhejiang, China.

Publications

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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.

Principal Investigator of Research Projects

1. National Natural Science Foundation Youth Project, “Cognitive Fine-Grained Diagnosis in Blended Learning Based on Sequential Data and Causal Neural Networks”, January 2023 - December 2025, Project Number: 62207028.
2. General Project of Zhejiang Provincial Natural Fund, “Research on Cognitive State Prediction and Problem Attribution in Blended Learning Based on Dynamic Sequential Causal Machine Learning”, January 2023 - December 2025, Project Number: Y23F020054.
3. General Topic of Zhejiang Provincial Education Science Planning, “Research on Online Learning Cognitive Assessment and Resource Recommendation Strategies Based on Deep Neural Networks”, February 2023 - January 2025, Project Number: 2023SCG367.
4. Key Project of the Open Fund of the Key Laboratory of Intelligent Education Technology and Application in Zhejiang Province, “Research on Group Cognitive Modeling and Diagnosis for Online Collaborative Learning”, May 16, 2021 - December 31, 2022, Project Number: jykf22006.

Patents

1. Qionghao Huang, Changqin Huang, Ming Li, Fan Jiang, Jianhui Yu. Training, recognition method, system device and medium for facial expression recognition model, invention patent (202111024230.8), China, September 2021.
2. Qionghao Huang, Changqin Huang, Fan Jiang, Yi Wang, Yaxin Tu, Zhongmei Han. A method for automatic annotation of multimodal educational resources based on temporal causal information, invention patent (202210715895.1), China, July 2022.
3. Qionghao Huang, Changqin Huang, Yi Wang, Ming Li, Yaxin Tu. Method for dynamic organization of teaching resources driven by causality under the support of teaching and learning behavior data, invention patent (2022112332411), China, October 2022.
4. Qionghao Huang, Changqin Huang, Fan Jiang, Xizhe Wang, Xiaoyong Mei. Method for optimizing the storage scheduling of educational resources based on multimodal hybrid inference perception, invention patent (2022112332888), China, October 2022.
5. Changqin Huang, Zhaodi Lu, Qionghao Huang, Zhongmei Han, Fan Jiang. Emotion analysis method based on modality heterogeneity bridging and multimodal dynamic graph fusion, invention patent (2022112375031), China, October 2022.
6. Changqin Huang, Jie He, Qionghao Huang, Jianhui Yu. Interpretable classroom student emotion analysis method, system, device and medium, invention patent (202010802142.5), China, August 2020.
7. Changqin Huang, Xuemei Wu, Qionghao Huang, Yaxin Tu, Yi Wang. A method for optimizing the robustness of learning cognitive analysis model based on causal effect, invention patent (2022112331847), China, October 2022.
8. Changqin Huang, Weiyu Huang, Qionghao Huang, Xizhe Wang, Yuan Li. A semantic prefetching system and method for resource cloud storage in the field of education, invention patent (201810117814.1), China, October 2018.
9. Changqin Huang, Qionghao Huang, Ming Li, Xizhe Wang, Tao He. Knowledge tracing data processing method, system and storage medium based on graph convolution, invention patent (201911250785.7), China, December 2019.
10. Changqin Huang, Qionghao Huang, Ming Li, Xizhe Wang. Interpretable knowledge level tracking method, system and storage medium, invention patent (202010801341.4), China, August 2020.
11. Changqin Huang, Jia Zhu, Qionghao Huang, Wanying Liang. Knowledge tracing method, system, device and medium based on causal reasoning, invention patent (202110223365.0), China, March 2021.
12. Changqin Huang, Hangjie Wei, Qionghao Huang, Zhongmei Han. Anomaly learner detection method based on graph aggregation and recovery under the support of granular computing, invention patent (202111207734.3), China, October 2021.
13. Xizhe Wang, Changqin Huang, Ming Li, Qionghao Huang, Fan Jiang. A fine-grained learning performance prediction method, device, equipment and medium, invention patent (202110396455.X), China, April 2021.
14. Changqin Huang, Yixuan Chen, Ming Li, Qionghao Huang. Cognitive diagnosis method, system and storage medium based on graph neural network, invention patent (202210253979.8), China, March 2022.
15. Zhongmei Han, Shougang Han, Changqin Huang, Qionghao Huang. Learner emotion evolution analysis method and system based on causal graph neural network, invention patent (202210870610.1), China, July 2022.
16. Changqin Huang, Fan Jiang, Shijin Wang, Qionghao Huang, Xizhe Wang. A learner emotion analysis method and device based on cross-temporal graph representation, invention patent (202310190443.0), China, February 3, 2023.
17. Changqin Huang, Hangjie Wei, Qionghao Huang, Yaxin Tu, Yi Wang. A causal temporal double-enhanced knowledge tracing method based on hypergraph clustering, invention patent (202211412022.X), China, November 2022.
18. Changqin Huang, Zhenheng Lin, Qionghao Huang, Yunliang Jiang, Shijin Wang. A multimodal emotion analysis method and system based on large model video description, invention patent (CN117237774A), Zhejiang Province, China, December 15, 2023.
19. Changqin Huang, Jili Chen, Yunliang Jiang, Qionghao Huang, Shijin Wang. A method and system for constructing multimodal blended teaching resources based on cognitive neuroscience, invention patent (CN117196908A), Zhejiang Province, China, December 8, 2023.
20. Changqin Huang, Jiahui Yang, Yunliang Jiang, Qionghao Huang, Shijin Wang. Heterogeneous graph representation learning method, device and medium assisted by large language model, invention patent (2023116128682), China, November 29, 2023.

Awards

1. University Philosophy and Social Sciences Outstanding Achievement Award, First Prize, Ministry of Education, China, February 2024
2. “Cheng Tai Gong Hao” Young Teacher Award from the Teaching Fund, October 2022
3. Guangdong Province Philosophy and Social Sciences Outstanding Achievement Award, Special Prize, People’s Government of Guangdong Province, December 2021
4. Outstanding Graduate of Guangdong Province (Doctoral Research Stage), June 2021

Service and leadership

1. Editor Board Member and A.E. of Plos One (JCR, Q1)
2. Young Editor Board Member of Automation & Information Engineering (Chinese Journal)
3. Correspondence review expert for the National Natural Science Foundation
4. Program Committee Member of APWeb-WAIM 2024, GCCIL 2022, IFET 2021
5. Reviewers for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Learning Technologies, Information Sciences, Information Processing & Management, Knowledge-Based Systems, Expert Systems with Applications, Applied Intelligence, Multimedia Systems, Soft Computing, Knowledge and Information Systems, Scientific Reports, Plos One, CMC-Computers, Materials & Continua, IEEE Access, Current Bioinformatics, International Journal of Machine Learning and Cybernetics, Computer Systems Science and Engineering, Current Psychiatry Research and Reviews, CURRENT MEDICAL IMAGING, Frontiers of Information Technology & Electronic Engineering, IEEE Transactions on Education, IEEE Transactions on Consumer Electronics, JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, Journal of Computational and Cognitive Engineering, Interactive Learning Environments…