Min Li
Orcid: 0000-0002-5773-8976Affiliations:
- China University of Geosciences, Wuhan, China
According to our database1,
Min Li authored at least 13 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Cross-Attention Audio-Visual Fusion Based on Multi-Scale Vision Transformers for Emotion Recognition.
J. Adv. Comput. Intell. Intell. Informatics, May, 2026
2025
Skeleton-Based Action Recognition Using Multibranch Adaptive Graph Convolutional Network With Pose Refinement.
IEEE Trans. Comput. Soc. Syst., December, 2025
Inf. Sci., 2025
Multimodal Emotion Recognition Based on Multi-Scale Facial Features and Cross-Modal Attention.
Proceedings of the IEEE International Conference on Industrial Technology, 2025
2024
Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human-Robot Interaction.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Convolutional Features-Based Broad Learning With LSTM for Multidimensional Facial Emotion Recognition in Human-Robot Interaction.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
A broad-deep fusion network-based fuzzy emotional intention inference model for teaching validity evaluation.
Inf. Sci., January, 2024
Broad-deep network-based fuzzy emotional inference model with personal information for intention understanding in human-robot interaction.
Annu. Rev. Control., 2024
2023
Multimodal Facial Emotion Recognition Using Improved Convolution Neural Networks Model.
J. Adv. Comput. Intell. Intell. Informatics, July, 2023
K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human-Robot Interaction.
IEEE Trans. Ind. Electron., 2023
2022
Dynamic Expression Recognition-Based Quantitative Evaluation of Teaching Validity Using Valence-Arousal Emotion Space.
Proceedings of the 13th Asian Control Conference, 2022
2021
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human-Robot Interaction.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
A population randomization-based multi-objective genetic algorithm for gesture adaptation in human-robot interaction.
Sci. China Inf. Sci., 2021