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Mingzhen He
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2020 – today
- 2024
- [j5]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): 3886-3899 (2024) - [i4]Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang:
Kernel PCA for Out-of-Distribution Detection. CoRR abs/2402.02949 (2024) - 2023
- [j4]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): 10044-10054 (2023) - [j3]Kaijie Wang, Fan He, Mingzhen He, Xiaolin Huang:
Learning non-parametric kernel via matrix decomposition for logistic regression. Pattern Recognit. Lett. 171: 177-183 (2023) - [c1]Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang:
Diffusion Representation for Asymmetric Kernels via Magnetic Transform. NeurIPS 2023 - [i3]Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels. CoRR abs/2310.05236 (2023) - 2022
- [j2]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): 6015-6025 (2022) - [j1]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): 1405-1416 (2022) - [i2]Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. CoRR abs/2202.01397 (2022) - [i1]Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang:
Random Fourier Features for Asymmetric Kernels. CoRR abs/2209.08461 (2022)
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