Mingzhen He

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Ind. Informatics

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
Revisiting Random Weight Perturbation for Efficiently Improving Generalization. CoRR (2024)
Ruikai Yang, Fan He, Mingzhen He, Kaijie Wang, Xiaolin Huang
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method. CoRR (2024)
Fan He, Mingzhen He, Lei Shi, Xiaolin Huang
Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang
Revisiting Random Weight Perturbation for Efficiently Improving Generalization. Trans. Mach. Learn. Res. 2024 (2024)
Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
Kernel PCA for Out-of-Distribution Detection. CoRR (2024)
Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang
Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature. CoRR (2024)
Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning. CoRR (2024)
Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels. CoRR (2023)
Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
Learning With Asymmetric Kernels: Least Squares and Feature Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang
Diffusion Representation for Asymmetric Kernels via Magnetic Transform. NeurIPS (2023)
Kaijie Wang, Fan He, Mingzhen He, Xiaolin Huang
Learning non-parametric kernel via matrix decomposition for logistic regression. Pattern Recognit. Lett. 171 (2023)
Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang
Random Fourier Features for Asymmetric Kernels. CoRR (2022)
Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. CoRR (2022)
Zhijun Zhang, Siyuan Chen, Mingzhen He
Taylor Discrete Circadian Rhythms Neural Network for Resolving Bicriteria Optimization Problem of Redundant Robot Manipulators Perturbed by Periodic Noises. IEEE Trans. Ind. Informatics 18 (9) (2022)
Zhijun Zhang, Xianzhi Deng, Mingzhen He, Tao Chen, Junjie Liang
Runge-Kutta Type Discrete Circadian RNN for Resolving Tri-Criteria Optimization Scheme of Noises Perturbed Redundant Robot Manipulators. IEEE Trans. Syst. Man Cybern. Syst. 52 (3) (2022)