Parameter-less auto-weighted multiple graph regularized nonnegative matrix factorization for data representation Z Shu, X Wu, H Fan, P Huang, D Wu, C Hu, F Ye
Knowledge-Based Systems 131, 105-112, 2017
28 2017 Discriminative feature learning via sparse autoencoders with label consistency constraints C Hu, XJ Wu, ZQ Shu
Neural Processing Letters 50, 1079-1091, 2019
14 2019 Semi-supervised learning based on GAN with mean and variance feature matching C Hu, XJ Wu, J Kittler
IEEE transactions on cognitive and developmental systems 11 (4), 539-547, 2018
14 2018 Deep semi-nonnegative matrix factorization with elastic preserving for data representation Z Shu, X Wu, C Hu, C You, H Fan
Multimedia Tools and Applications 80, 1707-1724, 2021
12 2021 Generating adversarial examples with elastic-net regularized boundary equilibrium generative adversarial network C Hu, XJ Wu, ZY Li
Pattern Recognition Letters 140, 281-287, 2020
12 2020 Dual encoder-decoder based generative adversarial networks for disentangled facial representation learning C Hu, Z Feng, X Wu, J Kittler
IEEE Access 8, 130159-130171, 2020
11 2020 U-SPDNet: An SPD manifold learning-based neural network for visual classification R Wang, XJ Wu, T Xu, C Hu, J Kittler
Neural networks 161, 382-396, 2023
9 2023 Substitute meta-learning for black-box adversarial attack C Hu, HQ Xu, XJ Wu
IEEE Signal Processing Letters 29, 2472-2476, 2022
7 2022 Bagging deep convolutional autoencoders trained with a mixture of real data and GAN-generated data C Hu, XJ Wu, ZQ Shu
KSII Transactions on Internet and Information Systems (TIIS) 13 (11), 5427-5445, 2019
7 2019 Structure preserving sparse coding for data representation Z Shu, X Wu, C Hu
Neural Processing Letters 48, 1705-1719, 2018
7 2018 Deep metric learning on the SPD manifold for image set classification R Wang, XJ Wu, T Xu, C Hu, J Kittler
IEEE transactions on circuits and systems for video technology, 2022
5 2022 Attention‐guided evolutionary attack with elastic‐net regularization on face recognition C Hu, Y Li, Z Feng, X Wu
Pattern recognition 143, 109760, 2023
4 2023 Graph regularized variational ladder networks for semi-supervised learning C Hu, XN Song
IEEE Access 8, 206280-206288, 2020
4 2020 Autoencoders with drop strategy C Hu, XJ Wu
Advances in Brain Inspired Cognitive Systems: 8th International Conference …, 2016
4 2016 Robust dual-graph regularized deep matrix factorization for multi-view clustering Z Shu, B Li, C Hu, Z Yu, XJ Wu
Neural Processing Letters 55 (5), 6067-6087, 2023
3 2023 SDA- Net: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation Q Guo, XJ Wu, Z Feng, T Xu, C Hu
arXiv preprint arXiv:2209.10327, 2022
3 2022 Spd manifold deep metric learning for image set classification R Wang, XJ Wu, Z Chen, C Hu, J Kittler
IEEE Transactions on Neural Networks and Learning Systems, 2024
2 2024 Structured discriminative concept factorization for data representation Z Shu, X Wu, C Hu, J Wang
2017 International Smart Cities Conference (ISC2), 1-4, 2017
2 2017 Delving deep into adversarial perturbations initialization on adversarial examples generation C Hu, P Wan, XJ Wu, HF Yin
Journal of Electronic Imaging 31 (6), 063004-063004, 2022
1 2022 Enhancing the Transferability of Adversarial Examples with Feature Transformation HQ Xu, C Hu, HF Yin
Mathematics 10 (16), 2976, 2022
1 2022