Ruikai Yang

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Xiaolin Huang

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Publications

2026
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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. Pattern Recognit. 171: 112312 (2026)
2025
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Ruikai Yang, Mingzhen He, Zhenghao He, Youmei Qiu, Xiaolin Huang:
MUSO: achieving exact machine unlearning in over-parameterized regimes. Mach. Learn. 114(8): 176 (2025)
[j2]
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Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang:
A Decentralized Framework for Kernel PCA With Projection Consensus Constraints. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3908-3921 (2025)
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Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang:
Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature. IEEE Trans. Neural Networks Learn. Syst. 36(5): 7945-7954 (2025)
[c7]
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Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang:
Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks. ICLR 2025
[c6]
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Mingzhen He, Ruikai Yang, Hanling Tian, Youmei Qiu, Xiaolin Huang:
Primphormer: Efficient Graph Transformers with Primal Representations. ICML 2025
[c5]
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Wenxing Zhou, Xinwen Cheng, Yingwen Wu, Ruikai Yang, Xiaolin Huang:
Stimulating Catastrophic Forgetting in Class-Wise Unlearning via UAP. ECML/PKDD (5) 2025: 432-448
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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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
[c2]
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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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