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 or conferences, 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, AAAI, APWEB. 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, the Editor Board Member of Forum for Education Studies.

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

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

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

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

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 Philosophy Planning Project of Zhejiang Province, “Research on Improving Student Feedback Literacy with AIGC Emotional Enhancement Support“, January 1, 2025 - December 31, 2027”
4. 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.
5. 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. Huang Qionghao, Huang Changqin, Li Ming, Jiang Fan, Yu Jianhui, “Facial Expression Recognition Model Training, Recognition Method, System Device and Medium”, Invention Patent (202111024230.8), China, September 2021
2. Huang Qionghao, Huang Changqin, Jiang Fan, Wang Yi, Tu Yaxin, Han Zhongmei, “An Automatic Annotation Method for Multimodal Educational Resources Based on Temporal Causal Information”, Invention Patent (202210715895.1), China, July 2022
3. Huang Qionghao, Huang Changqin, Wang Yi, Li Ming, Tu Yaxin, “Dynamic Organization Method of Teaching Resources Driven by Teaching and Learning Behavioral Data”, Invention Patent (2022112332411), China, October 2022
4. Huang Qionghao, Huang Changqin, Jiang Fan, Wang Xizhe, Mei Xiaoyong, “Educational Resource Storage Scheduling Optimization Method Based on Multimodal Hybrid Inference Perception”, Invention Patent (2022112332888), China, October 2022
5. Huang Changqin, Lin Zhenheng, Huang Qionghao, Jiang Yunliang, Wang Shijin, “A Multimodal Sentiment Analysis Method and System Based on Large Model Video Description”, Patent [P], Zhejiang Province: CN117237774A, December 15, 2023
6. Huang Changqin, Chen Jili, Jiang Yunliang, Huang Qionghao, Wang Shijin, “Construction Method and System of Multimodal Mixed Teaching Resources Based on Cognitive Neuroscience”, Patent [P], Zhejiang Province: CN117196908A, December 8, 2023
7. Huang Changqin, Yang Jiahui, Jiang Yunliang, Huang Qionghao, Wang Shijin, “Heterogeneous Graph Representation Learning Method, Device and Medium Assisted by Large Language Model”, Invention Patent (2023116128682), November 29, 2023
8. Huang Changqin, Lu Zhaodi, Huang Qionghao, Han Zhongmei, Jiang Fan, “Sentiment Analysis Method Based on Modal Heterogeneity Bridging and Multimodal Dynamic Graph Fusion”, Invention Patent (2022112375031), China, October 2022
9. Huang Changqin, He Jie, Huang Qionghao, Yu Jianhui, “Explainable Classroom Student Emotion Analysis Method, System, Device and Medium”, Invention Patent (202010802142.5), China, August 2020
10. Huang Changqin, Wu Xuemei, Huang Qionghao, Tu Yaxin, Wang Yi, “A Robustness Optimization Method for Learning Cognitive Analysis Model Based on Causal Effects”, Invention Patent (2022112331847), China, October 2022
11. Huang Changqin, Huang Weiyu, Huang Qionghao, Wang Xizhe, Li Yuan, “Semantic Prefetching System and Method for Educational Resource Cloud Storage”, Invention Patent (201810117814.1), China, October 2018
12. Huang Changqin, Huang Qionghao, Li Ming, Wang Xizhe, He Tao, “Knowledge Tracing Data Processing Method, System and Storage Medium Based on Graph Convolution”, Invention Patent (201911250785.7), China, December 2019
13. Huang Changqin, Huang Qionghao, Li Ming, Wang Xizhe, “Explainable Knowledge Level Tracking Method, System and Storage Medium”, Invention Patent (202010801341.4), China, August 2020
14. Huang Changqin, Zhu Jia, Huang Qionghao, Liang Wanying, “Knowledge Tracing Method, System, Device and Medium Based on Causal Reasoning”, Invention Patent (202110223365.0), China, March 2021
15. Huang Changqin, Wei Hangjie, Huang Qionghao, Han Zhongmei, “Abnormal Learner Detection Method Based on Graph Aggregation and Recovery with Granular Computing Support”, Invention Patent (202111207734.3), China, October 2021
16. Wang Xizhe, Huang Changqin, Li Ming, Huang Qionghao, Jiang Fan, “Fine-grained Learning Performance Prediction Method, Device, Equipment and Medium”, Invention Patent (202110396455.X), China, April 2021
17. Huang Changqin, Chen Yixuan, Li Ming, Huang Qionghao, “Cognitive Diagnosis Method, System and Storage Medium Based on Graph Neural Networks”, Invention Patent (202210253979.8), China, March 2022
18. Han Zhongmei, Han Shougang, Huang Changqin, Huang Qionghao, “Learner Emotion Evolution Analysis Method and System Based on Causal Graph Neural Networks”, Invention Patent (202210870610.1), China, July 2022
19. Huang Changqin, Jiang Fan, Wang Shijin, Huang Qionghao, Wang Xizhe, “A Learner Emotion Analysis Method and Device Based on Cross-temporal-spatial Graph Representation”, Invention Patent (202310190443.0), China, February 3, 2023
20. Huang Changqin, Wei Hangjie, Huang Qionghao, Tu Yaxin, Wang Yi, “A Causal Temporal Dual-enhanced Knowledge Tracing Method Based on Hypergraph Clustering”, Invention Patent (202211412022.X), China, November 2022
21. Wang Xizhe, Zhang Xiangyuan, Huang Changqin, Zhang Linjie, Huang Qionghao, “Question Generation Method, System, Electronic Device and Medium Based on Large Language Model”, Invention Patent (202410648063.1), China, May 2024
22. Wang Xizhe, Zhong Yihua, Huang Changqin, Huang Qionghao, Han Zhongmei, “Personalized Question Generation and Assisted Learning Method and System Based on Large Language Model”, Invention Patent (202311484184.9), China, November 2023
23. Huang Changqin, Jiang Fan, Jiang Yunliang, Xiao Jun, Huang Qionghao, “Learner Engagement Analysis Method and System Based on Multimodal Large Language Model”, Invention Patent (202410158587), China, August 2024
24. He Tao, Yu Jianhui, Huang Qionghao, “Learning Task Processing Method, System and Storage Medium Based on Group Cognitive Causality”, Invention Patent (CN202310256354.1), March 2023
25. Huang Changqin, Lin Zhenheng, Huang Qionghao, Jiang Fan, Wang Xizhe, “A Multimodal Sentiment Analysis Method and System Based on Two-stage Heterogeneous Hypergraph”, Invention Patent (CN202411255941.X), September 2024
26. Huang Changqin, Yu Binghang, Gao Chengling, Huang Qionghao, Tu Yaxin, “Abnormal Group Detection Method and System for Computer-Supported Collaborative Learning Based on Hypergraph”, Invention Patent (CN202411187673.2), August 2024
27. Huang Changqin, Chen Jili, Huang Qionghao, Han Zhongmei, Wang Shijin, “A Cross-modal Emotion Causal Tracking Method”, Invention Patent (CN202411237121.8), September 2024

Software Copyrights

1. He Tao, Huang Changqin, Li Ming, Huang Qionghao, Han Zhongmei, Wang Xizhe, “An Online Community System for Knowledge Discovery and Sharing Supported by Mobile Social Collaboration”, Software Copyright (2020SR0096127), January 2020
2. Huang Changqin, Zhang Junling, Huang Qionghao, Jiang Fan, “Learner Emotion Analysis System for Teaching State Perception”, Software Copyright (2022SR1437994), October 2022
3. Han Zhongmei, Han Shougang, Huang Changqin, Huang Qionghao, Wu Xuemei, “Learning Conflict Detection System Based on Generative AI Chain of Thought V1.0”, Software Copyright, Registration No.: 2024SR0219736, China, February 2024

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
5. 2023 Zhejiang Province Educational Science Research Outstanding Achievement Award, Second Prize (4/5), December 2024

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. Editor Board Member of Forum for Education Studies
4. Correspondence review expert for the National Natural Science Foundation
5. Program Committee Member of APWeb-WAIM 2024, GCCIL 2022, IFET 2021
6. 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, CMES-Computer Modeling in Engineering & Sciences, Journal on Artificial Intelligence, Discover Artificial Intelligence, Engineering Applications of Artificial Intelligence, Intelligent Automation & Soft Computing, Recent Advances in Electrical & Electronic Engineering, IEEE Transactions on Artificial Intelligence, ACM Transactions on Intelligent Systems and Technology…