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2025年期刊论文和会议论文
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[1]
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Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang: Decentralized framework for kernel PCA with projection consensus constraints, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-12, 2025
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[2]
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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, in proceedings of International Conference on Learning Representations (ICLR), Singapore, pp. 1-9, 2025
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[3]
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Mingzhen He, Ruikai Yang, Hanling Tian, Youmei Qiu, Xiaolin Huang: Primphormer: Efficient graph transformers with primal representations, in proceedings of International Conference on Machine Learning (ICML), Vancouver, Canada, pp. 1-10, 2025
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2024年期刊论文和会议论文
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[1]
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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 Transactions on Neural Networks and Learning Systems, accepted, 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, 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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[2]
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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, in proceedings of International Joint Conference on Neural Networks (IJCNN), Queensland, Australia, pp. 1-8, 2023
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