Yanmeng Li
Orcid: 0000-0002-3712-1717Affiliations:
- Nanjing University, Jiangsu, China
According to our database1,
Yanmeng Li
authored at least 23 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
Multiple kernel subspace representation and graph construction learning for multi-view clustering.
Multim. Syst., June, 2025
Probabilistic Interpretation Toward Manifold Convex Hull Collaborative Representation.
IEEE Trans. Consumer Electron., May, 2025
Advanced Graph-MLPs Distillation based on Global and Local Hyperbolic Geometry Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Robust Grassmann manifold convex hull collaborative representation learning and its kernel extension for image set analysis.
Multim. Syst., December, 2024
Inf. Sci., February, 2024
2023
Appl. Intell., September, 2023
Robust Low Rank and Sparse Representation for Multiple Kernel Dimensionality Reduction.
IEEE Trans. Circuits Syst. Video Technol., 2023
Pattern Recognit., 2023
J. Intell. Fuzzy Syst., 2023
Convex Hull Collaborative Representation Learning on Grassmann Manifold with L<sub>1</sub> Norm Regularization.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2022
Neurocomputing, 2022
2021
R-CTSVM+: Robust capped L<sub>1</sub>-norm twin support vector machine with privileged information.
Inf. Sci., 2021
Efficient human motion prediction using temporal convolutional generative adversarial network.
Inf. Sci., 2021
2020
Robust Low-Rank Kernel Subspace Clustering based on the Schatten p-norm and Correntropy.
IEEE Trans. Knowl. Data Eng., 2020
Semi-supervised learning framework based on statistical analysis for image set classification.
Pattern Recognit., 2020
Image Set-Oriented Dual Linear Discriminant Regression Classification and Its Kernel Extension.
Neural Process. Lett., 2020
Inf. Sci., 2020
2019
Robust low-rank kernel multi-view subspace clustering based on the Schatten <i>p</i>-norm and correntropy.
Inf. Sci., 2019
Multiple kernel dimensionality reduction based on linear regression virtual reconstruction for image set classification.
Neurocomputing, 2019
2018
2D-LPCCA and 2D-SPCCA: Two new canonical correlation methods for feature extraction, fusion and recognition.
Neurocomputing, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018