Obserwuj
Cong Hu
Cong Hu
Jiangnan University
Zweryfikowany adres z surrey.ac.uk
Tytuł
Cytowane przez
Cytowane przez
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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
322017
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
192023
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
182018
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
172021
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
162024
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
152020
Discriminative feature learning via sparse autoencoders with label consistency constraints
C Hu, XJ Wu, ZQ Shu
Neural Processing Letters 50, 1079-1091, 2019
152019
Attention‐guided evolutionary attack with elastic‐net regularization on face recognition
C Hu, Y Li, Z Feng, X Wu
Pattern recognition 143, 109760, 2023
132023
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
132020
Substitute meta-learning for black-box adversarial attack
C Hu, HQ Xu, XJ Wu
IEEE Signal Processing Letters 29, 2472-2476, 2022
112022
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 34 (2), 663-680, 2022
112022
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
72023
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
72019
Structure preserving sparse coding for data representation
Z Shu, X Wu, C Hu
Neural Processing Letters 48, 1705-1719, 2018
72018
Towards Transferable Attack via Adversarial Diffusion in Face Recognition
C Hu, Y Li, Z Feng, X Wu
IEEE Transactions on Information Forensics and Security, 2024
62024
Graph regularized variational ladder networks for semi-supervised learning
C Hu, XN Song
IEEE Access 8, 206280-206288, 2020
52020
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
42022
Face Recognition via Compact Second-Order Image Gradient Orientations
HF Yin, XJ Wu, C Hu, X Song
Mathematics 10 (15), 2587, 2022
32022
Autoencoders with drop strategy
C Hu, XJ Wu
Advances in Brain Inspired Cognitive Systems: 8th International Conference …, 2016
32016
Structured discriminative concept factorization for data representation
Z Shu, X Wu, C Hu, J Wang
2017 International Smart Cities Conference (ISC2), 1-4, 2017
22017
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