Qinghua Tao

Orcid: 0000-0001-9705-7748

According to our database¹, Qinghua Tao authored at least 39 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Query Attack by Multi-Identity Surrogates.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., February, 2024

Revisiting Random Weight Perturbation for Efficiently Improving Generalization.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Towards robust neural networks via orthogonal diversity.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Deep Kernel Principal Component Analysis for multi-level feature learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

Tensor-based multi-view spectral clustering via shared latent space.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

DDoS: Diffusion Distribution Similarity for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Kernel PCA for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sparsity via Sparse Group k-max Regularization.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

2023

Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Jigsaw-ViT: Learning jigsaw puzzles in vision transformer.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., February, 2023

Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs.

[BibT_eX]

[DOI]

CoRR, 2023

Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method.

[BibT_eX]

[DOI]

CoRR, 2023

Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tensorized LSSVMS For Multitask Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Toward Deep Adaptive Hinging Hyperplanes.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Center-Aware Adversarial Autoencoder for Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness.

[BibT_eX]

[DOI]

CoRR, 2022

Piecewise Linear Neural Networks and Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Trainable Weight Averaging for Fast Convergence and Better Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Distributed Cooperative Driving in Multi-Intersection Road Networks.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2021

Learning with continuous piecewise linear decision trees.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities.

[BibT_eX]

[DOI]

CoRR, 2021

Train Deep Neural Networks in 40-D Subspaces.

[BibT_eX]

[DOI]

CoRR, 2021

Going Far Boosts Attack Transferability, but Do Not Do It.

[BibT_eX]

[DOI]

CoRR, 2021

Noncyclic Scheduling of Multi-cluster Tools with Multi-type Wafers Based on Pareto Optimization.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Computer and Automation Engineering, 2021

2020

Efficient hinging hyperplanes neural network and its application in nonlinear system identification.

[BibT_eX]

[DOI]

Autom., 2020

Cooperative Control for Multi-Intersection Traffic Signal Based on Deep Reinforcement Learning and Imitation Learning.

[BibT_eX]

[DOI]

Yusen Huo

Qinghua Tao

Jianming Hu

IEEE Access, 2020

2019

Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning.

[BibT_eX]

[DOI]

Yusen Huo

Qinghua Tao

Jianming Hu

CoRR, 2019

2018

An Improved Coordinate Update Method for the Identification of Adaptive Hinging Hyperplanes Model.

[BibT_eX]

[DOI]

Proceedings of the 2018 10th International Conference on Computer and Automation Engineering, 2018

Fast Adaptive Hinging Hyperplanes.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Adaptive block coordinate DIRECT algorithm.

[BibT_eX]

[DOI]

J. Glob. Optim., 2017

2016

Multiple Gaussian graphical estimation with jointly sparse penalty.

[BibT_eX]

[DOI]

Signal Process., 2016

Qinghua Tao

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...