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.
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.
Qionghao Huang*, Jili Chen, Changqin Huang, Xiaodi Huang, Yi Wang, "Text-centered cross-sample fusion network for multimodal sentiment analysis." Multimedia Systems, 2024.
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.
Qionghao Huang*, Jili Chen, "Enhancing Academic Performance Prediction with Temporal Graph Networks for Massive Open Online Courses." Journal of Big Data, 2024.
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.
Qionghao Huang*, Yan Zeng, "Improving academic performance predictions with dual graph neural networks." Complex & Intelligent Systems, 2024.
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.
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.
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.
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.
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.
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.
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.
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.
Yixuan Chen, Shuang Wang, Fan Jiang, Yaxin Tu, Qionghao Huang*, "Dckt: A novel dual-centric learning model for knowledge tracing." Sustainability, 2022.
Xizhe Wang, Xiaoyong Mei, Qionghao Huang, Zhongmei Han, Changqin Huang, "Fine-grained learning performance prediction via adaptive sparse self-attention networks." Information Sciences, 2021.
Qionghao Huang, Changqin Huang, Xizhe Wang, Fan Jiang, "Facial expression recognition with grid-wise attention and visual transformer." Information Sciences, 2021.
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.
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.
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.
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.
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.
Changqin Huang, Ning Zhu, Qionghao Huang, Zhongmei Han, "Research on Behavior Big Data Visualization for Supporting Personalized Learning." Open Education Research, 2019.
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.
Qintai Hu, Zhongmei Han, Xiaofan Lin, Qionghao Huang, Xiaomei Zhang, "Learning peer recommendation using attention-driven CNN with interaction tripartite graph." Information Sciences, 2019.
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.
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.
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.
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.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California