Qinghua Tao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 47

Top Topics

Kernel Principal Component Analysis

Gaussian Process

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
Revisiting Random Weight Perturbation for Efficiently Improving Generalization. CoRR (2024)
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes. CoRR (2024)
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. CoRR (2024)
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
Deep Kernel Principal Component Analysis for multi-level feature learning. Neural Networks 170 (2024)
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Tensor-based multi-view spectral clustering via shared latent space. Inf. Fusion 108 (2024)
Qinghua Tao, Xiangming Xi, Jun Xu, Johan A. K. Suykens
Sparsity via Sparse Group k-max Regularization. CoRR (2024)
Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang
Revisiting Random Weight Perturbation for Efficiently Improving Generalization. Trans. Mach. Learn. Res. 2024 (2024)
Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
Kernel PCA for Out-of-Distribution Detection. CoRR (2024)
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang
Towards robust neural networks via orthogonal diversity. Pattern Recognit. 149 (2024)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. 5 (2) (2024)
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation. CoRR (2023)
Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. ICASSP (2023)
Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. CoRR (2023)
Yingyi Chen, Xi Shen, Yahui Liu, Qinghua Tao, Johan A. K. Suykens
Jigsaw-ViT: Learning jigsaw puzzles in vision transformer. Pattern Recognit. Lett. 166 (2023)
Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Johan A. K. Suykens
Tensorized LSSVMs for Multitask Regression. CoRR (2023)
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation. NeurIPS (2023)
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method. CoRR (2023)
Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Johan A. K. Suykens
Tensorized LSSVMS For Multitask Regression. ICASSP (2023)
Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
Deep Kernel Principal Component Analysis for Multi-level Feature Learning. CoRR (2023)
Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Xiaolin Huang, Johan A. K. Suykens
Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs. CoRR (2023)
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. ICLR (2023)
Qinghua Tao, Zhen Li, Jun Xu, Shu Lin, Bart De Schutter, Johan A. K. Suykens
Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Yingyi Chen, Xi Shen, Yahui Liu, Qinghua Tao, Johan A. K. Suykens
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer. CoRR (2022)
Daoming Li, Qinghua Tao, Jiahao Liu, Huangang Wang
Center-Aware Adversarial Autoencoder for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
Trainable Weight Averaging for Fast Convergence and Better Generalization. CoRR (2022)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. NeurIPS (2022)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. CoRR (2022)
Qinghua Tao, Li Li, Xiaolin Huang, Xiangming Xi, Shuning Wang, Johan A. K. Suykens
Piecewise Linear Neural Networks and Deep Learning. CoRR (2022)
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness. CoRR (2022)
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Tensor-based Multi-view Spectral Clustering via Shared Latent Space. CoRR (2022)
Qinghua Tao, Jun Xu, Zhen Li, Na Xie, Shuning Wang, Xiaoli Li, Johan A. K. Suykens
Toward Deep Adaptive Hinging Hyperplanes. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Yuanyuan Yan, Qinghua Tao, Huangang Wang, Wenhui Fan
Noncyclic Scheduling of Multi-cluster Tools with Multi-type Wafers Based on Pareto Optimization. ICCAE (2021)
Huaxin Pei, Yi Zhang, Qinghua Tao, Shuo Feng, Li Li
Distributed Cooperative Driving in Multi-Intersection Road Networks. IEEE Trans. Veh. Technol. 70 (6) (2021)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. CoRR (2021)
Huaxin Pei, Yi Zhang, Qinghua Tao, Shuo Feng, Li Li
Distributed Cooperative Driving in Multi-Intersection Road Networks. CoRR (2021)
Qinghua Tao, Zhen Li, Jun Xu, Na Xie, Shuning Wang, Johan A. K. Suykens
Learning with continuous piecewise linear decision trees. Expert Syst. Appl. 168 (2021)
Tao Li, Lei Tan, Qinghua Tao, Yipeng Liu, Xiaolin Huang
Train Deep Neural Networks in 40-D Subspaces. CoRR (2021)
Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
Going Far Boosts Attack Transferability, but Do Not Do It. CoRR (2021)
Yusen Huo, Qinghua Tao, Jianming Hu
Cooperative Control for Multi-Intersection Traffic Signal Based on Deep Reinforcement Learning and Imitation Learning. IEEE Access 8 (2020)
Jun Xu, Qinghua Tao, Zhen Li, Xiangming Xi, Johan A. K. Suykens, Shuning Wang
Efficient hinging hyperplanes neural network and its application in nonlinear system identification. Autom. 116 (2020)
Jun Xu, Qinghua Tao, Zhen Li, Xiangming Xi, Johan A. K. Suykens, Shuning Wang
Efficient hinging hyperplanes neural network and its application in nonlinear system identification. CoRR (2019)
Yusen Huo, Qinghua Tao, Jianming Hu
Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning. CoRR (2019)
Qinghua Tao, Jun Xu, Shuning Wang, Li Li
An Improved Coordinate Update Method for the Identification of Adaptive Hinging Hyperplanes Model. ICCAE (2018)
Qinghua Tao, Jun Xu, Johan A. K. Suykens, Shuning Wang
Fast Adaptive Hinging Hyperplanes. CDC (2018)
Qinghua Tao, Xiaolin Huang, Shuning Wang, Li Li
Adaptive block coordinate DIRECT algorithm. J. Glob. Optim. 69 (4) (2017)
Qinghua Tao, Xiaolin Huang, Shuning Wang, Xiangming Xi, Li Li
Multiple Gaussian graphical estimation with jointly sparse penalty. Signal Process. 128 (2016)