Mingzhen He

According to our database, Mingzhen He authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty.

Fan He, Mingzhen He, Lei Shi, Xiaolin Huang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Kernel PCA for Out-of-Distribution Detection.

Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang

CoRR, 2024

2023

Learning With Asymmetric Kernels: Least Squares and Feature Interpretation.

Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Learning non-parametric kernel via matrix decomposition for logistic regression.

Kaijie Wang, Fan He, Mingzhen He, Xiaolin Huang

Pattern Recognit. Lett., 2023

Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels.

Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens

CoRR, 2023

Diffusion Representation for Asymmetric Kernels via Magnetic Transform.

Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Runge-Kutta Type Discrete Circadian RNN for Resolving Tri-Criteria Optimization Scheme of Noises Perturbed Redundant Robot Manipulators.

Zhijun Zhang, Xianzhi Deng, Mingzhen He, Tao Chen, Junjie Liang

IEEE Trans. Syst. Man Cybern. Syst., 2022

Taylor Discrete Circadian Rhythms Neural Network for Resolving Bicriteria Optimization Problem of Redundant Robot Manipulators Perturbed by Periodic Noises.

Zhijun Zhang, Siyuan Chen, Mingzhen He

IEEE Trans. Ind. Informatics, 2022

Random Fourier Features for Asymmetric Kernels.

Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang

CoRR, 2022