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2024年期刊论文和会议论文
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[1]
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Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang: Revisiting random weight perturbation for efficiently improving generalization, Transactions on Machine Learning Research, accepted, 2024
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[2]
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Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang: Random Fourier features for asymmetric kernels, Machine Learning, 1-15, 2024
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[3]
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Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang: Kernel PCA for out-of-distribution detection, in proceedings of Neural Information Processing Systems (NeurIPS), Vancouver, Canada, pp. 1-9, 2024
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2023年期刊论文和会议论文
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[1]
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Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A.K. Suykens: Learning with Asymmetric Kernels: Least Squares and Feature Interpretation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8): 10044-10054, 2023
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[2]
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Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang: Diffusion representation for asymmetric kernels via magnetic transform, in proceedings of Neural Information Processing Systems (NeurIPS), New Orleans. USA, pp. 1-9, 2023
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2022年期刊论文和会议论文
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[1]
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Fan He, Mingzhen He, Lei Shi, Xiaolin Huang: Global search and analysis for the non-convex two-level l1 penalty, IEEE Transactions on Neural Networks and Learning Systems, 1-14, 2022
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