Yanmeng Li

According to our database, Yanmeng Li authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Grassmann manifold convex hull collaborative representation learning and its kernel extension for image set analysis.

Yao Guan, Jiayi Yao, Wenzhu Yan, Yanmeng Li

Multim. Syst., December, 2024

Robust GEPSVM classifier: An efficient iterative optimization framework.

He Yan, Yan Liu, Yanmeng Li, Qiaolin Ye, Dong-Jun Yu, Yong Qi

Inf. Sci., February, 2024

2023

Safe sample screening for robust twin support vector machine.

Yanmeng Li, Huaijiang Sun

Appl. Intell., September, 2023

Robust Low Rank and Sparse Representation for Multiple Kernel Dimensionality Reduction.

Wenzhu Yan, Ming Yang, Yanmeng Li

IEEE Trans. Circuits Syst. Video Technol., 2023

Towards deeper match for multi-view oriented multiple kernel learning.

Wenzhu Yan, Yanmeng Li, Ming Yang

Pattern Recognit., 2023

Res-LGAN for human motion style transfer with more features preserved.

Yue Kong, Huaijiang Sun, Qiongjie Cui, Jian Pan, Yanmeng Li

J. Intell. Fuzzy Syst., 2023

Convex Hull Collaborative Representation Learning on Grassmann Manifold with L₁ Norm Regularization.

Yao Guan, Wenzhu Yan, Yanmeng Li

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

An improved parametric-margin universum TSVM.

Yanmeng Li, Huaijiang Sun

Neural Comput. Appl., 2022

Domain adaptive twin support vector machine learning using privileged information.

Yanmeng Li, Huaijiang Sun, Wenzhu Yan

Neurocomputing, 2022

2021

R-CTSVM+: Robust capped L₁-norm twin support vector machine with privileged information.

Yanmeng Li, Huaijiang Sun, Wenzhu Yan, Qiongjie Cui

Inf. Sci., 2021

Efficient human motion prediction using temporal convolutional generative adversarial network.

Qiongjie Cui, Huaijiang Sun, Yue Kong, Xiaoqian Zhang, Yanmeng Li

Inf. Sci., 2021

2020

Robust Low-Rank Kernel Subspace Clustering based on the Schatten p-norm and Correntropy.

Xiaoqian Zhang, Beijia Chen, Huaijiang Sun, Zhigui Liu, Zhenwen Ren, Yanmeng Li

IEEE Trans. Knowl. Data Eng., 2020

Semi-supervised learning framework based on statistical analysis for image set classification.

Wenzhu Yan, Quansen Sun, Huaijiang Sun, Yanmeng Li

Pattern Recognit., 2020

Image Set-Oriented Dual Linear Discriminant Regression Classification and Its Kernel Extension.

Wenzhu Yan, Huaijiang Sun, Quansen Sun, Yanmeng Li

Neural Process. Lett., 2020

Multi-output parameter-insensitive kernel twin SVR model.

Yanmeng Li, Huaijiang Sun, Wenzhu Yan, Xiaoqian Zhang

Neural Networks, 2020

Joint dimensionality reduction and metric learning for image set classification.

Wenzhu Yan, Quansen Sun, Huaijiang Sun, Yanmeng Li

Inf. Sci., 2020

2019

Robust low-rank kernel multi-view subspace clustering based on the Schatten <i>p</i>-norm and correntropy.

Xiaoqian Zhang, Huaijiang Sun, Zhigui Liu, Zhenwen Ren, Qiongjie Cui, Yanmeng Li

Inf. Sci., 2019

Multiple kernel dimensionality reduction based on linear regression virtual reconstruction for image set classification.

Wenzhu Yan, Quansen Sun, Huaijiang Sun, Yanmeng Li, Zhenwen Ren

Neurocomputing, 2019

2018

2D-LPCCA and 2D-SPCCA: Two new canonical correlation methods for feature extraction, fusion and recognition.

Xizhan Gao, Quansen Sun, Haitao Xu, Yanmeng Li

Neurocomputing, 2018

Kernel Dual Linear Regression for Face Image Set Classification.

Xizhan Gao, Quansen Sun, Haitao Xu, Yanmeng Li

Proceedings of the 24th International Conference on Pattern Recognition, 2018