Tao, Qinghua

8 publications

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

ICML 2024 Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström Method Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan Suykens

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

ICML 2024 Self-Attention Through Kernel-Eigen Pair Sparse Variational Gaussian Processes Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan Suykens

NeurIPS 2023 Primal-Attention: Self-Attention Through Asymmetric Kernel SVD in Primal Representation Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan Suykens

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

ICLR 2023 Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang

NeurIPS 2022 Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang