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2024
[i4]
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  - journals/corr/abs-2405-07791
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Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang:
Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature. CoRR abs/2405.07791 (2024)
[i3]
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  - journals/corr/abs-2405-07800
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Ruikai Yang, Fan He, Mingzhen He, Kaijie Wang, Xiaolin Huang:
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method. CoRR abs/2405.07800 (2024)
[i2]
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  - journals/corr/abs-2410-08557
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Ruikai Yang, Mingzhen He, Zhengbao He, Youmei Qiu, Xiaolin Huang:
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes. CoRR abs/2410.08557 (2024)
2023
[c3]
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  - conf/aaai/ZhaoY0H23
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Wenda Zhao, Ruikai Yang, Yu Liu, You He:
Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition. AAAI 2023: 3624-3632
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  - conf/ijcnn/WangHYYH23
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Tianyao Wang, Fan He, Ruikai Yang, Zhixing Ye, Xiaolin Huang:
Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. IJCNN 2023: 1-8
[c1]
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Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang:
Diffusion Representation for Asymmetric Kernels via Magnetic Transform. NeurIPS 2023
2022
[i1]
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  - journals/corr/abs-2211-15953
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Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang:
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints. CoRR abs/2211.15953 (2022)

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