Qinghua Tao

59 papers A* 6B 1C 1Misc 2Journal 46Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Machine Unlearning in Low-Dimensional Feature Subspace.
CoRR
Kun Fang, Qinghua Tao, Junxu Liu, Yaxin Xiao, Qingqing Ye, Jian Sun, Haibo Hu
2025 J jnl
From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting.
CoRR
Xin Cao, Qinghua Tao, Yingjie Zhou, Lu Zhang, Le Zhang, Dongjin Song, Dapeng Oliver Wu, Ce Zhu
2025 J jnl
From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting.
IEEE Trans. Instrum. Meas.
Xin Cao, Qinghua Tao, Yingjie Zhou, Lu Zhang, Le Zhang, Dongjin Song, Dapeng Oliver Wu, Ce Zhu
2025 J jnl
Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations.
CoRR
Kun Fang, Qinghua Tao, Mingzhen He, Kexin Lv, Runze Yang, Haibo Hu, Xiaolin Huang, Jie Yang, Longbing Cao
2025 J jnl
Multi-head ensemble of smoothed classifiers for certified robustness.
Neural Networks
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
2024 J jnl
DDoS: Diffusion Distribution Similarity for Out-of-Distribution Detection.
CoRR
Kun Fang, Qinghua Tao, Zuopeng Yang, Xiaolin Huang, Jie Yang
2024 J jnl
Deep Kernel Principal Component Analysis for multi-level feature learning.
Neural Networks
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
2024 B conf
Feature Learning using Multi-view Kernel Partial Least Squares.
ESANN
Xinjie Zeng, Qinghua Tao, Johan A. K. Suykens
2024 A* conf
Kernel PCA for Out-of-Distribution Detection.
NeurIPS
Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
2024 J jnl
Kernel PCA for Out-of-Distribution Detection.
CoRR
Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
2024 A* conf
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method.
ICML
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
2024 J jnl
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method.
CoRR
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
2024 J jnl
Query Attack by Multi-Identity Surrogates.
IEEE Trans. Artif. Intell.
Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
2024 J jnl
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective.
Int. J. Comput. Vis.
Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang
2024 J jnl
Revisiting Random Weight Perturbation for Efficiently Improving Generalization.
CoRR
Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
2024 J jnl
Revisiting Random Weight Perturbation for Efficiently Improving Generalization.
Trans. Mach. Learn. Res.
Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang
2024 A* conf
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes.
ICML
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
2024 J jnl
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes.
CoRR
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
2024 C conf
Sparsity via Sparse Group k-max Regularization.
ACC
Qinghua Tao, Xiangming Xi, Jun Xu, Johan A. K. Suykens
2024 J jnl
Sparsity via Sparse Group k-max Regularization.
CoRR
Qinghua Tao, Xiangming Xi, Jun Xu, Johan A. K. Suykens
2024 J jnl
Tensor-based multi-view spectral clustering via shared latent space.
Inf. Fusion
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2024 J jnl
Towards robust neural networks via orthogonal diversity.
Pattern Recognit.
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang
2023 J jnl
Deep Kernel Principal Component Analysis for Multi-level Feature Learning.
CoRR
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
2023 J jnl
Jigsaw-ViT: Learning jigsaw puzzles in vision transformer.
Pattern Recognit. Lett.
Yingyi Chen, Xi Shen, Yahui Liu, Qinghua Tao, Johan A. K. Suykens
2023 J jnl
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang
2023 J jnl
Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs.
CoRR
Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Xiaolin Huang, Johan A. K. Suykens
2023 Misc conf
Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm.
ICASSP
Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
2023 J jnl
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method.
CoRR
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023 A* conf
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation.
NeurIPS
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
2023 J jnl
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation.
CoRR
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
2023 J jnl
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective.
CoRR
Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang
2023 Misc conf
Tensorized LSSVMS For Multitask Regression.
ICASSP
Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Johan A. K. Suykens
2023 J jnl
Tensorized LSSVMs for Multitask Regression.
CoRR
Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Johan A. K. Suykens
2023 A* conf
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions.
ICLR
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
2022 A* conf
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.
NeurIPS
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022 J jnl
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.
CoRR
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022 J jnl
Center-Aware Adversarial Autoencoder for Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Daoming Li, Qinghua Tao, Jiahao Liu, Huangang Wang
2022 J jnl
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer.
CoRR
Yingyi Chen, Xi Shen, Yahui Liu, Qinghua Tao, Johan A. K. Suykens
2022 J jnl
On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness.
CoRR
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
2022 J jnl
Piecewise Linear Neural Networks and Deep Learning.
CoRR
Qinghua Tao, Li Li, Xiaolin Huang, Xiangming Xi, Shuning Wang, Johan A. K. Suykens
2022 J jnl
Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network.
IEEE Trans. Intell. Transp. Syst.
Qinghua Tao, Zhen Li, Jun Xu, Shu Lin, Bart De Schutter, Johan A. K. Suykens
2022 J jnl
Tensor-based Multi-view Spectral Clustering via Shared Latent Space.
CoRR
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2022 J jnl
Toward Deep Adaptive Hinging Hyperplanes.
IEEE Trans. Neural Networks Learn. Syst.
Qinghua Tao, Jun Xu, Zhen Li, Na Xie, Shuning Wang, Xiaoli Li, Johan A. K. Suykens
2022 J jnl
Trainable Weight Averaging for Fast Convergence and Better Generalization.
CoRR
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
2021 J jnl
Distributed Cooperative Driving in Multi-Intersection Road Networks.
CoRR
Huaxin Pei, Yi Zhang, Qinghua Tao, Shuo Feng, Li Li
2021 J jnl
Distributed Cooperative Driving in Multi-Intersection Road Networks.
IEEE Trans. Veh. Technol.
Huaxin Pei, Yi Zhang, Qinghua Tao, Shuo Feng, Li Li
2021 J jnl
Going Far Boosts Attack Transferability, but Do Not Do It.
CoRR
Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
2021 J jnl
Learning with continuous piecewise linear decision trees.
Expert Syst. Appl.
Qinghua Tao, Zhen Li, Jun Xu, Na Xie, Shuning Wang, Johan A. K. Suykens
2021 — conf
Noncyclic Scheduling of Multi-cluster Tools with Multi-type Wafers Based on Pareto Optimization.
ICCAE
Yuanyuan Yan, Qinghua Tao, Huangang Wang, Wenhui Fan
2021 J jnl
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities.
CoRR
Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
2021 J jnl
Train Deep Neural Networks in 40-D Subspaces.
CoRR
Tao Li, Lei Tan, Qinghua Tao, Yipeng Liu, Xiaolin Huang
2020 J jnl
Cooperative Control for Multi-Intersection Traffic Signal Based on Deep Reinforcement Learning and Imitation Learning.
IEEE Access
Yusen Huo, Qinghua Tao, Jianming Hu
2020 J jnl
Efficient hinging hyperplanes neural network and its application in nonlinear system identification.
Autom.
Jun Xu, Qinghua Tao, Zhen Li, Xiangming Xi, Johan A. K. Suykens, Shuning Wang
2019 J jnl
Efficient hinging hyperplanes neural network and its application in nonlinear system identification.
CoRR
Jun Xu, Qinghua Tao, Zhen Li, Xiangming Xi, Johan A. K. Suykens, Shuning Wang
2019 J jnl
Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning.
CoRR
Yusen Huo, Qinghua Tao, Jianming Hu
2018 — conf
An Improved Coordinate Update Method for the Identification of Adaptive Hinging Hyperplanes Model.
ICCAE
Qinghua Tao, Jun Xu, Shuning Wang, Li Li
2018 — conf
Fast Adaptive Hinging Hyperplanes.
CDC
Qinghua Tao, Jun Xu, Johan A. K. Suykens, Shuning Wang
2017 J jnl
Adaptive block coordinate DIRECT algorithm.
J. Glob. Optim.
Qinghua Tao, Xiaolin Huang, Shuning Wang, Li Li
2016 J jnl
Multiple Gaussian graphical estimation with jointly sparse penalty.
Signal Process.
Qinghua Tao, Xiaolin Huang, Shuning Wang, Xiangming Xi, Li Li