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2020 – today
- 2025
[j43]Yuntao Shou, Xiangyong Cao, Huan Liu, Deyu Meng:
Masked contrastive graph representation learning for age estimation. Pattern Recognit. 158: 110974 (2025)- 2024
- [j42]Xiangyu Rui, Xiangyong Cao
, Li Pang, Zeyu Zhu, Zongsheng Yue, Deyu Meng:
Unsupervised hyperspectral pansharpening via low-rank diffusion model. Inf. Fusion 107: 102325 (2024) - [j41]Zina Li, Xiaorui Yang, Deyu Meng, Xiangyong Cao:
An Adaptive Noisy Label-Correction Method Based on Selective Loss for Hyperspectral Image-Classification Problem. Remote. Sens. 16(13): 2499 (2024) - [j40]Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng:
Stable Local-Smooth Principal Component Pursuit. SIAM J. Imaging Sci. 17(2): 1182-1205 (2024) - [j39]Dongwei Sun, Yajie Bao, Junmin Liu, Xiangyong Cao:
A Lightweight Sparse Focus Transformer for Remote Sensing Image Change Captioning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18727-18738 (2024) - [j38]Yifan Wang, Hisao Ishibuchi, Witold Pedrycz, Jihua Zhu, Xiangyong Cao, Jun Wang:
Convolutional Fuzzy Neural Networks With Random Weights for Image Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3279-3293 (2024) - [j37]Kaiyu Li, Xiangyong Cao, Deyu Meng:
A New Learning Paradigm for Foundation Model-Based Remote-Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j36]Jiangjun Peng, Hailin Wang, Xiangyong Cao, Qian Zhao, Jing Yao, Hongying Zhang, Deyu Meng:
Learnable Representative Coefficient Image Denoiser for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j35]Xiaodong Tan, Mingwen Shao, Yuanjian Qiao, Tiyao Liu, Xiangyong Cao:
Low-Rank Prompt-Guided Transformer for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j34]Datao Tang, Xiangyong Cao, Xingsong Hou, Zhongyuan Jiang, Junmin Liu, Deyu Meng:
CRS-Diff: Controllable Remote Sensing Image Generation With Diffusion Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j33]Shuang Xu, Qiao Ke, Jiangjun Peng, Xiangyong Cao, Zixiang Zhao:
Pan-Denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j32]Shuang Xu, Jiangjun Peng, Teng-Yu Ji, Xiangyong Cao, Kai Sun, Rongrong Fei, Deyu Meng:
Stacked Tucker Decomposition With Multi-Nonlinear Products for Remote Sensing Imagery Inpainting. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j31]Jie Zhang, Mingwen Shao, Yecong Wan, Lingzhuang Meng, Xiangyong Cao, Shuigen Wang:
Boundary-Aware Spatial and Frequency Dual-Domain Transformer for Remote Sensing Urban Images Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [c9]Shihong Wang, Ruixun Liu, Kaiyu Li, Jiawei Jiang, Xiangyong Cao:
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation. CVPR Workshops 2024: 2762-2770 - [c8]Li Pang, Xiangyu Rui, Long Cui, Hongzhong Wang, Deyu Meng, Xiangyong Cao:
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models. CVPR 2024: 3005-3014 - [i34]Li Pang, Xiangyu Rui, Long Cui, Hongzhong Wang, Deyu Meng, Xiangyong Cao:
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models. CoRR abs/2402.15865 (2024) - [i33]Datao Tang, Xiangyong Cao, Xingsong Hou, Zhongyuan Jiang, Deyu Meng:
CRS-Diff: Controllable Generative Remote Sensing Foundation Model. CoRR abs/2403.11614 (2024) - [i32]Shihong Wang, Ruixun Liu, Kaiyu Li, Jiawei Jiang, Xiangyong Cao:
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation. CoRR abs/2404.05111 (2024) - [i31]Haodong Wen, Bodong Du, Ruixun Liu, Deyu Meng, Xiangyong Cao:
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis. CoRR abs/2404.10353 (2024) - [i30]Kaiyu Li, Xiangyong Cao, Yupeng Deng, Deyu Meng:
DiffMatch: Visual-Language Guidance Makes Better Semi-supervised Change Detector. CoRR abs/2405.04788 (2024) - [i29]Dongwei Sun, Yajie Bao, Xiangyong Cao:
A Lightweight Transformer for Remote Sensing Image Change Captioning. CoRR abs/2405.06598 (2024) - [i28]Shuang Xu, Qiao Ke, Jiangjun Peng, Xiangyong Cao, Zixiang Zhao:
Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation. CoRR abs/2407.06064 (2024) - [i27]Xiangyu Rui, Xiangyong Cao, Yining Li, Deyu Meng:
Variational Zero-shot Multispectral Pansharpening. CoRR abs/2407.06633 (2024) - [i26]Shuang Xu, Chang Yu, Jiangjun Peng, Xiangyong Cao:
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration. CoRR abs/2407.08509 (2024) - [i25]Kaiyu Li, Jiawei Jiang, Andrea Codegoni, Chengxi Han, Yupeng Deng, Keyan Chen, Zhuo Zheng, Hao Chen, Zhengxia Zou, Zhenwei Shi, Sheng Fang, Deyu Meng, Zhi Wang, Xiangyong Cao:
Open-CD: A Comprehensive Toolbox for Change Detection. CoRR abs/2407.15317 (2024) - [i24]Yuntao Shou, Haozhi Lan, Xiangyong Cao:
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck. CoRR abs/2408.00295 (2024) - [i23]Jin Cao, Yi Cao, Li Pang, Deyu Meng, Xiangyong Cao:
HAIR: Hypernetworks-based All-in-One Image Restoration. CoRR abs/2408.08091 (2024) - [i22]Li Pang, Datao Tang, Shuang Xu, Deyu Meng, Xiangyong Cao:
HSIGene: A Foundation Model For Hyperspectral Image Generation. CoRR abs/2409.12470 (2024) - [i21]Kaiyu Li, Ruixun Liu, Xiangyong Cao, Deyu Meng, Zhi Wang:
SegEarth-OV: Towards Traning-Free Open-Vocabulary Segmentation for Remote Sensing Images. CoRR abs/2410.01768 (2024) - 2023
- [j30]Man Zhou, Keyu Yan, Jinshan Pan, Wenqi Ren, Qi Xie, Xiangyong Cao:
Memory-Augmented Deep Unfolding Network for Guided Image Super-resolution. Int. J. Comput. Vis. 131(1): 215-242 (2023) - [j29]Yifan Wang, Shuang Xu, Xiangyong Cao, Qiao Ke, Teng-Yu Ji, Xiangxiang Zhu:
Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior. Remote. Sens. 15(8): 1970 (2023) - [j28]Kai Sun, Jiangshe Zhang, Junmin Liu, Shuang Xu, Xiangyong Cao, Rongrong Fei:
Modified Dynamic Routing Convolutional Neural Network for Pan-Sharpening. Remote. Sens. 15(11): 2869 (2023) - [j27]Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng:
Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5189-5203 (2023) - [j26]Jie Zhang, Mingwen Shao, Yuanjian Qiao, Xiangyong Cao:
Enhancing Efficient Global Understanding Network With CSWin Transformer for Urban Scene Images Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10230-10245 (2023) - [j25]Yang Chen, Wenfei Cao, Li Pang, Jiangjun Peng, Xiangyong Cao:
Hyperspectral Image Denoising Via Texture-Preserved Total Variation Regularizer. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c7]Zeyu Zhu, Xiangyong Cao, Man Zhou, Junhao Huang, Deyu Meng:
Probability-based Global Cross-modal Upsampling for Pansharpening. CVPR 2023: 14039-14048 - [c6]Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng:
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. ICCV 2023: 16811-16821 - [i20]Xiangyu Rui, Xiangyong Cao, Jun Shu, Qian Zhao, Deyu Meng:
A Hyper-weight Network for Hyperspectral Image Denoising. CoRR abs/2301.06081 (2023) - [i19]Zeyu Zhu, Xiangyong Cao, Man Zhou, Junhao Huang, Deyu Meng:
Probability-based Global Cross-modal Upsampling for Pansharpening. CoRR abs/2303.13659 (2023) - [i18]Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng:
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. CoRR abs/2305.07774 (2023) - [i17]Xiangyu Rui, Xiangyong Cao, Zeyu Zhu, Zongsheng Yue, Deyu Meng:
Unsupervised Pansharpening via Low-rank Diffusion Model. CoRR abs/2305.10925 (2023) - [i16]Yingchun Wang, Jingcai Guo, Yi Liu, Song Guo, Weizhan Zhang, Xiangyong Cao, Qinghua Zheng:
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization. CoRR abs/2305.11615 (2023) - [i15]Li Pang, Weizhen Gu, Xiangyong Cao, Xiangyu Rui, Jiangjun Peng, Shuang Xu, Gang Yang, Deyu Meng:
HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising. CoRR abs/2306.17797 (2023) - [i14]Yuntao Shou, Xiangyong Cao, Deyu Meng:
Masked Contrastive Graph Representation Learning for Age Estimation. CoRR abs/2306.17798 (2023) - [i13]Yuntao Shou, Xiangyong Cao, Deyu Meng, Bo Dong, Qinghua Zheng:
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition. CoRR abs/2306.17799 (2023) - [i12]Shuang Xu, Yifan Wang, Zixiang Zhao, Jiangjun Peng, Xiangyong Cao, Deyu Meng:
Neural Gradient Regularizer. CoRR abs/2308.16612 (2023) - [i11]Kaiyu Li, Xiangyong Cao, Deyu Meng:
A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection. CoRR abs/2312.01163 (2023) - 2022
- [j24]Li Pang, Weizhen Gu, Xiangyong Cao:
TRQ3DNet: A 3D Quasi-Recurrent and Transformer Based Network for Hyperspectral Image Denoising. Remote. Sens. 14(18): 4598 (2022) - [j23]Xiangyong Cao, Xueyang Fu, Danfeng Hong, Zongben Xu, Deyu Meng:
PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j22]Xiangyong Cao, Xueyang Fu, Chen Xu, Deyu Meng:
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j21]Yang Chen, Wenfei Cao, Li Pang, Xiangyong Cao:
Hyperspectral Image Denoising With Weighted Nonlocal Low-Rank Model and Adaptive Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j20]Junmin Liu, Shijie Li, Changsheng Zhou, Xiangyong Cao, Yong Gao, Bo Wang:
SRAF-Net: A Scene-Relevant Anchor-Free Object Detection Network in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j19]Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xinling Liu, Xiangyu Rui, Deyu Meng:
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j18]Shuang Xu, Xiangyong Cao, Jiangjun Peng, Qiao Ke, Cong Ma, Deyu Meng:
Hyperspectral Image Denoising by Asymmetric Noise Modeling. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j17]Ruihang Xue, Xueru Bai, Xiangyong Cao, Feng Zhou:
Sequential ISAR Target Classification Based on Hybrid Transformer. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j16]Yinsong Yan, Junmin Liu, Shuang Xu, Yicheng Wang, Xiangyong Cao:
MD³Net: Integrating Model-Driven and Data-Driven Approaches for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j15]Jing Yao, Xiangyong Cao, Danfeng Hong, Xin Wu, Deyu Meng, Jocelyn Chanussot, Zongben Xu:
Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j14]Xueyang Fu, Menglu Wang, Xiangyong Cao, Xinghao Ding, Zheng-Jun Zha:
A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6802-6816 (2022) - [j13]Lin Xu, Xiangyong Cao, Jing Yao, Zheng Yan:
Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks. IEEE Trans. Netw. Sci. Eng. 9(1): 161-170 (2022) - [c5]Xiangyong Cao, Yang Chen, Wenfei Cao:
Proximal PanNet: A Model-Based Deep Network for Pansharpening. AAAI 2022: 176-184 - [i10]Xiangyong Cao, Yang Chen, Wenfei Cao:
Proximal PanNet: A Model-Based Deep Network for Pansharpening. CoRR abs/2203.04286 (2022) - [i9]Man Zhou, Keyu Yan, Jinshan Pan, Wenqi Ren, Qi Xie, Xiangyong Cao:
Memory-augmented Deep Unfolding Network for Guided Image Super-resolution. CoRR abs/2203.04960 (2022) - [i8]Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xinlin Liu, Xiangyu Rui, Deyu Meng:
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation. CoRR abs/2211.01825 (2022) - 2021
- [j12]Xiangyong Cao, Jing Yao, Xueyang Fu, Haixia Bi, Danfeng Hong:
An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(6): 1104-1108 (2021) - [j11]Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Deyu Meng:
Online Rain/Snow Removal From Surveillance Videos. IEEE Trans. Image Process. 30: 2029-2044 (2021) - [c4]Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng:
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise. CVPR 2021: 6739-6748 - 2020
- [j10]Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Deyu Meng, Hongying Meng, Sheng Liu:
Discovering influential factors in variational autoencoders. Pattern Recognit. 100: 107166 (2020) - [j9]Xueyang Fu, Xiangyong Cao:
Underwater image enhancement with global-local networks and compressed-histogram equalization. Signal Process. Image Commun. 86: 115892 (2020) - [j8]Xiangyong Cao, Jing Yao, Zongben Xu, Deyu Meng:
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning. IEEE Trans. Geosci. Remote. Sens. 58(7): 4604-4616 (2020) - [j7]Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu:
Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field. IEEE Trans. Image Process. 29: 6601-6614 (2020) - [c3]Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li:
New Interpretations of Normalization Methods in Deep Learning. AAAI 2020: 5875-5882 - [i7]Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li:
New Interpretations of Normalization Methods in Deep Learning. CoRR abs/2006.09104 (2020) - [i6]Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu:
Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field. CoRR abs/2008.11014 (2020)
2010 – 2019
- 2019
- [j6]Xiangyong Cao, Zongben Xu, Deyu Meng:
Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field. Remote. Sens. 11(13): 1565 (2019) - [i5]Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chenqiang Gao, Deyu Meng:
Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding. CoRR abs/1909.06148 (2019) - 2018
- [j5]Jing Yao, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Robust subspace clustering via penalized mixture of Gaussians. Neurocomputing 278: 4-11 (2018) - [j4]Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Denoising Hyperspectral Image With Non-i.i.d. Noise Structure. IEEE Trans. Cybern. 48(3): 1054-1066 (2018) - [j3]Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley:
Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network. IEEE Trans. Image Process. 27(5): 2354-2367 (2018) - [i4]Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng:
Discovering Influential Factors in Variational Autoencoder. CoRR abs/1809.01804 (2018) - 2017
- [j2]Xiangyong Cao, Lin Xu, Deyu Meng, Qian Zhao, Zongben Xu:
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. Neurocomputing 226: 90-100 (2017) - [c2]Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu:
Polsar image classification based on three-dimensional wavelet texture features and Markov random field. IGARSS 2017: 3921-3928 - [i3]Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure. CoRR abs/1702.00098 (2017) - [i2]Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley:
Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network. CoRR abs/1705.00727 (2017) - 2016
- [j1]Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu:
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions. IEEE Trans. Image Process. 25(10): 4677-4690 (2016) - [i1]Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu:
Low-rank Matrix Factorization under General Mixture Noise Distributions. CoRR abs/1601.01060 (2016) - 2015
- [c1]Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu:
Low-Rank Matrix Factorization under General Mixture Noise Distributions. ICCV 2015: 1493-1501
Coauthor Index
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