11 citations · 12 across the 6 of their papers we have counts for
7 papers
MTL-FNO: A Lightweight Multi-Task Fourier Neural Operator for Sparse Field Reconstruction
Siyu Ye, Shihang Li, Zhiqiang Gong +4
Efficient onboard multi-field sparse reconstruction is essential for the autonomous operation of aerospace vehicles. While existing deep learning models exhibit promise for single-…
SynergyWarpNet: Attention-Guided Cooperative Warping for Neural Portrait Animation
Shihang Li, Zhiqiang Gong, Minming Ye +2
Recent advances in neural portrait animation have demonstrated remarked potential for applications in virtual avatars, telepresence, and digital content creation. However, traditio…
A novel hybrid neural network of fluid-structure interaction prediction for two cylinders in tandem arrangement
Yanfang Lyu, Yunyang Zhang, Zhiqiang Gong +3
Deep learning has shown promise in improving computing efficiency while ensuring modeling accuracy in fluid-structure interaction (FSI) analysis. However, its current capabilities…
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding
Zhiqiang Gong, Xian Zhou, Wen Yao +2
The dissection of hyperspectral images into intrinsic components through hyperspectral intrinsic image decomposition (HIID) enhances the interpretability of hyperspectral data, pro…
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification
Zhiqiang Gong, Xian Zhou, Wen Yao
Due to the powerful ability in capturing the global information, Transformer has become an alternative architecture of CNNs for hyperspectral image classification. However, general…
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification
Zhiqiang Gong, Xian Zhou, Wen Yao
Convolutional neural networks (CNNs) have been demonstrated their powerful ability to extract discriminative features for hyperspectral image classification. However, general deep…
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification
Zhiqiang Gong, Ping Zhong, Jiahao Qi +1
Deep Neural Networks have been successfully applied in hyperspectral image classification. However, most of prior works adopt general deep architectures while ignore the intrinsic…