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2020 – today
- 2024
[j16]Qinghua Tao
, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Tensor-based multi-view spectral clustering via shared latent space. Inf. Fusion 108: 102405 (2024)- [j15]Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens:
Deep Kernel Principal Component Analysis for multi-level feature learning. Neural Networks 170: 578-595 (2024) - [j14]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: 110281 (2024) - [j13]Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. 5(2): 684-697 (2024) - [j12]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) - [c11]Qinghua Tao, Xiangming Xi, Jun Xu, Johan A. K. Suykens:
Sparsity via Sparse Group k-max Regularization. ACC 2024: 1411-1416 - [c10]Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens:
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes. ICML 2024 - [c9]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. ICML 2024 - [i24]Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens:
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes. CoRR abs/2402.01476 (2024) - [i23]Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang:
Kernel PCA for Out-of-Distribution Detection. CoRR abs/2402.02949 (2024) - [i22]Qinghua Tao, Xiangming Xi, Jun Xu, Johan A. K. Suykens:
Sparsity via Sparse Group k-max Regularization. CoRR abs/2402.08493 (2024) - [i21]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 abs/2404.00357 (2024) - [i20]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 abs/2406.08748 (2024) - [i19]Kun Fang, Qinghua Tao, Zuopeng Yang, Xiaolin Huang, Jie Yang:
DDoS: Diffusion Distribution Similarity for Out-of-Distribution Detection. CoRR abs/2409.10094 (2024) - 2023
- [j11]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): 3411-3420 (2023) - [j10]Yingyi Chen, Xi Shen, Yahui Liu, Qinghua Tao, Johan A. K. Suykens:
Jigsaw-ViT: Learning jigsaw puzzles in vision transformer. Pattern Recognit. Lett. 166: 53-60 (2023) - [c8]Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang:
Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. ICASSP 2023: 1-5 - [c7]Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Johan A. K. Suykens:
Tensorized LSSVMS For Multitask Regression. ICASSP 2023: 1-5 - [c6]Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang:
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. ICLR 2023 - [c5]Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens:
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation. NeurIPS 2023 - [i18]Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens:
Deep Kernel Principal Component Analysis for Multi-level Feature Learning. CoRR abs/2302.11220 (2023) - [i17]Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Johan A. K. Suykens:
Tensorized LSSVMs for Multitask Regression. CoRR abs/2303.02451 (2023) - [i16]Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens:
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation. CoRR abs/2305.19798 (2023) - [i15]Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method. CoRR abs/2306.07040 (2023) - [i14]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 abs/2308.16056 (2023) - [i13]Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang:
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. CoRR abs/2310.14227 (2023) - 2022
- [j9]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): 15616-15628 (2022) - [j8]Daoming Li, Qinghua Tao, Jiahao Liu, Huangang Wang:
Center-Aware Adversarial Autoencoder for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2480-2493 (2022) - [j7]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): 6373-6387 (2022) - [c4]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 - [i12]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 abs/2205.12134 (2022) - [i11]Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang:
Trainable Weight Averaging for Fast Convergence and Better Generalization. CoRR abs/2205.13104 (2022) - [i10]Qinghua Tao, Li Li, Xiaolin Huang, Xiangming Xi, Shuning Wang, Johan A. K. Suykens:
Piecewise Linear Neural Networks and Deep Learning. CoRR abs/2206.09149 (2022) - [i9]Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Tensor-based Multi-view Spectral Clustering via Shared Latent Space. CoRR abs/2207.11559 (2022) - [i8]Yingyi Chen, Xi Shen, Yahui Liu, Qinghua Tao, Johan A. K. Suykens:
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer. CoRR abs/2207.11971 (2022) - [i7]Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang:
On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness. CoRR abs/2211.10882 (2022) - 2021
- [j6]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: 114214 (2021) - [j5]Huaxin Pei, Yi Zhang, Qinghua Tao, Shuo Feng, Li Li:
Distributed Cooperative Driving in Multi-Intersection Road Networks. IEEE Trans. Veh. Technol. 70(6): 5390-5403 (2021) - [c3]Yuanyuan Yan, Qinghua Tao, Huangang Wang, Wenhui Fan:
Noncyclic Scheduling of Multi-cluster Tools with Multi-type Wafers Based on Pareto Optimization. ICCAE 2021: 95-99 - [i6]Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang:
Going Far Boosts Attack Transferability, but Do Not Do It. CoRR abs/2102.10343 (2021) - [i5]Tao Li, Lei Tan, Qinghua Tao, Yipeng Liu, Xiaolin Huang:
Train Deep Neural Networks in 40-D Subspaces. CoRR abs/2103.11154 (2021) - [i4]Huaxin Pei, Yi Zhang, Qinghua Tao, Shuo Feng, Li Li:
Distributed Cooperative Driving in Multi-Intersection Road Networks. CoRR abs/2104.10313 (2021) - [i3]Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. CoRR abs/2105.15010 (2021) - 2020
- [j4]Yusen Huo, Qinghua Tao, Jianming Hu:
Cooperative Control for Multi-Intersection Traffic Signal Based on Deep Reinforcement Learning and Imitation Learning. IEEE Access 8: 199573-199585 (2020) - [j3]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: 108906 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1905.06518 (2019) - [i1]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 abs/1909.13428 (2019) - 2018
- [c2]Qinghua Tao, Jun Xu, Johan A. K. Suykens, Shuning Wang:
Fast Adaptive Hinging Hyperplanes. CDC 2018: 1482-1487 - [c1]Qinghua Tao, Jun Xu, Shuning Wang, Li Li:
An Improved Coordinate Update Method for the Identification of Adaptive Hinging Hyperplanes Model. ICCAE 2018: 102-106 - 2017
- [j2]Qinghua Tao, Xiaolin Huang, Shuning Wang, Li Li:
Adaptive block coordinate DIRECT algorithm. J. Glob. Optim. 69(4): 797-822 (2017) - 2016
- [j1]Qinghua Tao, Xiaolin Huang, Shuning Wang, Xiangming Xi, Li Li:
Multiple Gaussian graphical estimation with jointly sparse penalty. Signal Process. 128: 88-97 (2016)
Coauthor Index
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