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杨睿恺

2021级博士(导师:黄晓霖

自动化系

电子信息与电气工程学院

上海交通大学

实验室:电信群楼2-235

电子邮箱:ruikai.yang@sjtu.edu.cn


2026年期刊论文和会议论文

[1] Ruikai Yang, Fan HeMingzhen He, Kaijie WangXiaolin Huang: Data imputation by pursuing better classification: A supervised kernel-based method, Pattern Recognition, 171(Part B): 112312, 2026

[2] Xinwen ChengZhehao HuangWenxing ZhouZhengbao HeRuikai YangYingwen WuXiaolin Huang: Remaining-data-free machine unlearning by suppressing sample contribution, in proceedings of International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil, pp. 1-10, 2026


2025年期刊论文和会议论文

[1] 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
[2] 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, 36(5): 7945-7954, 2025
[3] Ruikai Yang, Mingzhen He, Zhengbao He, Youmei Qiu, Xiaolin Huang: MUSO: Achieving exact machine unlearning in over-parameterized regimes, Machine Learning, 114(8): 176, 2025
[4] 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
[5] Mingzhen He, Ruikai Yang, Hanling Tian, Xiaolin Huang: Primphormer: Efficient graph transformers with primal representations, in proceedings of International Conference on Machine Learning (ICML), Vancouver, Canada, pp. 1-10, 2025


2023年期刊论文和会议论文

[1] 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
[2] 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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