He, Mingzhen

8 publications

MLJ 2025 MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes Ruikai Yang, Mingzhen He, Zhenghao He, Youmei Qiu, Xiaolin Huang

ICML 2025 Primphormer: Efficient Graph Transformers with Primal Representations Mingzhen He, Ruikai Yang, Hanling Tian, Youmei Qiu, Xiaolin Huang

ICLR 2025 Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang

NeurIPS 2024 Kernel PCA for Out-of-Distribution Detection Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang

MLJ 2024 Random Fourier Features for Asymmetric Kernels Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang

TMLR 2024 Revisiting Random Weight Perturbation for Efficiently Improving Generalization Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang

NeurIPS 2023 Diffusion Representation for Asymmetric Kernels via Magnetic Transform Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang

NeurIPSW 2023 Revisiting Random Weight Perturbation for Efficiently Improving Generalization Tao Li, Weihao Yan, Qinghua Tao, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang