| 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 |
| Structure preserving sparse coding for data representation Z Shu, X Wu, C Hu Neural Processing Letters 48, 1705-1719, 2018 | 7 | 2018 |
| 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 | 6 | 2019 |
| 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 |
| 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 |
| 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 | 2 | 2023 |
| 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 |
Josef KittlerUniversity of SurreyVerified email at surrey.ac.uk
