[1] A hypergraph neural network based method for online learning peer assessment score aggregation
【in Chinese: 一种基于超图神经网络的在线学习同伴互评分数聚合方法（发明专利，中国）】
M. Li, J. Duan, C. Huang, Y. Chen, S. Yang, 2023, China, submitted, CN202310279638.2
[2] Multimodal data representation method based on modal interaction deep hypergraph neural network
【in Chinese: 基于模态交互深层超图神经网络的多模态数据表示方法 （发明专利，中国）】
M. Li, J. Shi, J. Liang, Z. Li, X. Wu, 2023, China, submitted, CN202310284501.6
[3] A social recommendation method based on dynamic hypergraph representation learning
【in Chinese: 一种基于动态超图表示学习的社交推荐方法 （发明专利，中国）】
M. Li, S. Ding, J. Liang, Z. Li, X. Wu, 2023, China, submitted, CN202310291550.2
[4] An anomaly detection method based on dynamic hypergraph neural network
【in Chinese: 一种基于动态超图神经网络的异常检测方法 （发明专利，中国）】
M. Li, S. Yang, J. Liang, Z. Li, X. Wu, 2023, China, submitted, CN202310306909.9
[5] A student engagement prediction method based on multimodal hypergraph representation learning
【in Chinese: 一种基于多模态超图表示学习的学生参与度预测方法 （发明专利，中国）】
M. Li, S. Yang, C. Huang, Y. Chen, S. Zhou, 2023, China, submitted, CN2023104518470
[6] A hypergraph continual learning method, system, installation and storage
【in Chinese: 一种超图持续学习方法、系统、装置及存储介质 （发明专利，中国）】
M. Li, X. Yang, J. Liang, L. Bai, Y. Chen, 2023, China, submitted, CN202310605381.5
[7] Data analysis method, system and storage medium based on multi-modal graph neural networks
【in Chinese: 基于多模态图神经网络的语义分析方法、系统和存储介质 （发明专利，中国）】
M. Li, Y. Chen, C. Huang, J. Liang, 2022, China, granted, ZL202110239109.0
[8] Graph-based social data analysis method, system and storage medium
【in Chinese: 社交数据的分析方法、系统及存储介质 （发明专利，中国）】
M. Li, L. Zhang, C. Huang, J. Liang, 2022, China, granted, ZL202110246341.7
[9] Cognitive diagnosis method and system based on multimodal complementary graph neural network
【in Chinese: 基于多模态互补图神经网络的认知诊断方法和系统 （发明专利，中国）】
M. Li, S. Wang, C. Huang, J. Liang, Y. Wang, 2022, China, submitted, CN202210361425.X
[10] Student performance prediction method, system, device and storage medium based on graph neural network
【in Chinese: 基于图神经网络的成绩预测方法、系统、装置及存储介质 （发明专利，中国）】
M. Li, X. Wang, C. Huang, Y. Chen, J. Zhu, 2022, China, submitted, CN202210415206.5
[11] Composite graph construction method, system, device and storage medium for multimodal data
【in Chinese: 多模态数据的复合图构建方法、系统、装置及存储介质 （发明专利，中国）】
M. Li, S. Yang, J. Liang, Y. Wang, Y. Chen, 2022, China, submitted, CN202210438076.7
[12] Method, system, device and storage medium for graph representation learning for missing modality
【in Chinese: 面向模态缺失的图表示学习方法、系统、装置及存储介质 （发明专利，中国）】
M. Li, J. Duan, J. Liang, Y. Wang, Y. Chen, 2022, China, submitted, CN202210434473.7
[13] Method, system, device and medium for video engagement prediction based on graph learning
【in Chinese: 基于图学习的视频参与度预测方法、系统、装置及介质 （发明专利，中国）】
M. Li, X. Ou, J. Liang, L. Bai, 2022, China, submitted, CN202210620916.1
[14] Cognitive diagnosis method, system and storage medium based on graph neural network
【in Chinese: 基于文本主驱动的学习者多模态情感分析方法及装置 （发明专利，中国）】
C. Huang, J. Zhang, M. Li, X. Wu, F. Jiang, Y. Tu, 2022, China, submitted, CN202210776860.9
[15] Cognitive diagnosis method, system and storage medium based on graph neural network
【in Chinese: 基于图神经网络的认知诊断方法、系统和存储介质 （发明专利，中国）】
C. Huang, Y. Chen, M. Li, Q. Huang, 2022, China, submitted, CN202210253979.8
[16] Data processing for knowledge tracking based on graph convolution: method, system and storage medium
【in Chinese: 基于图卷积的知识追踪数据处理方法、系统和存储介质 （发明专利，中国）】
C. Huang, Q. Huang, M. Li, X. Wang, T. He, 2021, China, granted, ZL201911230785.7
[17] Interpretable knowledge level tracking method, system and storage medium
【in Chinese: 可解释性知识水平追踪方法、系统和存储介质 （发明专利，中国）】
C. Huang, Q. Huang, M. Li, X. Wang, 2022, China, granted, ZL202010801341.4
[18] Facial expression recognition model training, recognition method, system, device and interface
【in Chinese: 人脸表情识别模型训练、识别方法、系统、装置及介质 （发明专利，中国）】
Q. Huang, C. Huang, M. Li, F. Jiang, J. Yu, 2021, China, submitted, CN202111024230.8
[19] Entity alignment method, device and storage medium for multimodal knowledge graph
【in Chinese: 多模态知识图谱的实体对齐方法、装置及存储介质 （发明专利，中国）】
J. Zhu, C. Huang, Z. Han, J. Zhu, C. Huang, Z. Han, M. Li,, 2023, granted, ZL202110686557.5
[20] A causal-driven teaching resource dynamic organization method supported by teaching and learning behavior data
【in Chinese: 教与学行为数据支持下因果驱动的教学资源动态组织方法 （发明专利，中国）】
Q. Huang, C. Huang, Y. Wang, M. Li, Y. Tu, 2022, China, submitted, CN202211233241.1