Mingzhen He

25 papers A* 4Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data imputation by pursuing better classification: A supervised kernel-based method.
Pattern Recognit.
Ruikai Yang, Fan He, Mingzhen He, Kaijie Wang, Xiaolin Huang
2025 J jnl
Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature.
IEEE Trans. Neural Networks Learn. Syst.
Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang
2025 J jnl
Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations.
CoRR
Kun Fang, Qinghua Tao, Mingzhen He, Kexin Lv, Runze Yang, Haibo Hu, Xiaolin Huang, Jie Yang, Longbing Cao
2025 J jnl
MUSO: achieving exact machine unlearning in over-parameterized regimes.
Mach. Learn.
Ruikai Yang, Mingzhen He, Zhenghao He, Youmei Qiu, Xiaolin Huang
2025 A* conf
Primphormer: Efficient Graph Transformers with Primal Representations.
ICML
Mingzhen He, Ruikai Yang, Hanling Tian, Youmei Qiu, Xiaolin Huang
2025 A* conf
Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks.
ICLR
Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang
2025 J jnl
T2I-ConBench: Text-to-Image Benchmark for Continual Post-training.
CoRR
Zhehao Huang, Yuhang Liu, Yixin Lou, Zhengbao He, Mingzhen He, Wenxing Zhou, Tao Li, Kehan Li, Zeyi Huang, Xiaolin Huang
2024 J jnl
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method.
CoRR
Ruikai Yang, Fan He, Mingzhen He, Kaijie Wang, Xiaolin Huang
2024 J jnl
Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature.
CoRR
Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang
2024 J jnl
Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty.
IEEE Trans. Neural Networks Learn. Syst.
Fan He, Mingzhen He, Lei Shi, Xiaolin Huang
2024 A* conf
Kernel PCA for Out-of-Distribution Detection.
NeurIPS
Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
2024 J jnl
Kernel PCA for Out-of-Distribution Detection.
CoRR
Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
2024 J jnl
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning.
CoRR
Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2024 J jnl
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes.
CoRR
Ruikai Yang, Mingzhen He, Zhengbao He, Youmei Qiu, Xiaolin Huang
2024 J jnl
Random fourier features for asymmetric kernels.
Mach. Learn.
Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang
2024 J jnl
Revisiting Random Weight Perturbation for Efficiently Improving Generalization.
CoRR
Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
2024 J jnl
Revisiting Random Weight Perturbation for Efficiently Improving Generalization.
Trans. Mach. Learn. Res.
Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang
2023 A* conf
Diffusion Representation for Asymmetric Kernels via Magnetic Transform.
NeurIPS
Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang
2023 J jnl
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels.
CoRR
Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2023 J jnl
Learning With Asymmetric Kernels: Least Squares and Feature Interpretation.
IEEE Trans. Pattern Anal. Mach. Intell.
Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2023 J jnl
Learning non-parametric kernel via matrix decomposition for logistic regression.
Pattern Recognit. Lett.
Kaijie Wang, Fan He, Mingzhen He, Xiaolin Huang
2022 J jnl
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation.
CoRR
Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
2022 J jnl
Random Fourier Features for Asymmetric Kernels.
CoRR
Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang
2022 J jnl
Runge-Kutta Type Discrete Circadian RNN for Resolving Tri-Criteria Optimization Scheme of Noises Perturbed Redundant Robot Manipulators.
IEEE Trans. Syst. Man Cybern. Syst.
Zhijun Zhang, Xianzhi Deng, Mingzhen He, Tao Chen, Junjie Liang
2022 J jnl
Taylor Discrete Circadian Rhythms Neural Network for Resolving Bicriteria Optimization Problem of Redundant Robot Manipulators Perturbed by Periodic Noises.
IEEE Trans. Ind. Informatics
Zhijun Zhang, Siyuan Chen, Mingzhen He