全部论文[Google Scholar]
在投论文
[1] Jin Cao, Xiangyong Cao*, Deyu Meng. Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers. arXiv:2410.08688 [pdf] [code]
[2] Kaiyu Li, Ruixun Liu, Xiangyong Cao*, Deyu Meng, Zhi Wang. SegEarth-OV: Towards Traning-Free Open-Vocabulary Segmentation for Remote Sensing Images. arXiv:2410.01768 [pdf] [code]
[3] Li Pang, Datao Tang, Shuang Xu, Deyu Meng, Xiangyong Cao*. HSIGene: A Foundation Model For Hyperspectral Image Generation. arXiv:2409.12470. [pdf] [code]
[4] Yuntao Shou, Haozhi Lan, Xiangyong Cao*. Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck. submitted to Neural Networks. [pdf]
[5] Jin Cao, Yi Cao, Li Pang, Deyu Meng, Xiangyong Cao*. HAIR: Hypernetworks-based All-in-One Image Restoration. arXiv:2408.08091. [pdf] [code]
[6] Jin Cao, Xiangyu Rui, Li Pang, Deyu Meng, Xiangyong Cao*. LatentHSI: Restore Hyperspectral Images in a Latent Space. submitted to Information Fusion (Major Revision)
[7] Kaiyu Li, Xiangyong Cao*, Yupeng Deng, Junmin Liu, Deyu Meng, Zhi Wang. SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector. submitted to TGRS (Major Revision) [pdf] [code]
[8] Xiangyu Rui, Xiangyong Cao*, Jun Shu, Qian Zhao, Deyu Meng*. A Hyper-weight Network for Hyperspectral Image Denoising. submitted to IJCV. [pdf]
部分发表论文（*通讯）
2024年：
[1] Pei Liu, Jiangju Peng*, Hailin Wang, Danfeng Hong, Xiangyong Cao*. Infrared Small Target Detection via Joint Low Rankness and Local Smoothness Prior. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [code]
[2] Xiangyu Rui, Xiangyong Cao*, Yining Li, Deyu Meng*. Variational Zero-shot Multispectral Pansharpening. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [pdf] [code]
[3] Shuang Xu, Jiangjun Peng, Tengyu Ji, Xiangyong Cao*, Kai Sun, Rongrong Fei, Deyu Meng, Stacked Tucker Decomposition with Multi-Nonlinear Products for Remote Sensing Imagery Inpainting. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [pdf][code]
[4] Dongwei Sun, Yajie Bao, Junmin Liu, Xiangyong Cao*. A Lightweight Transformer for Remote Sensing Image Change Captioning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2024. [pdf] [code]
[5] Yuntao Shou, Xiangyong Cao*, Huan Liu, Deyu Meng. Masked Contrastive Graph Representation Learning for Age Estimation. Pattern Recognition, 2024. [pdf] [code]
[6] Datao Tang, Xiangyong Cao*, Xingsong Hou, Zhongyuan Jiang, Junmin Liu, Deyu Meng. CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [pdf] [code]
[7] Shuang Xu, Qiao Ke, Jiangjun Peng*, Xiangyong Cao*, Zixiang Zhao. Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [pdf] [code]
[8] Jie Zhang, Mingwen Shao, Yecong Wan, Xiangyong Cao, Shuigen Wang. Boundary-aware Spatial and Frequency Dual-domain Transformer for Remote Sensing Urban Images Segmentation. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [pdf] [code]
[9] Zina Li+, Xiaorui Yang+, Deyu Meng, Xiangyong Cao*. An Adaptive Noisy Label-Correction Method Based on Selective Loss for Hyperspectral Image-Classification Problem Remote Sensing, 2024. [pdf]
[10] Xiaodong Tan, Mingwen Shao, Yuanjian Qiao, Tiyao Liu, Xiangyong Cao. Low-Rank Prompt-Guided Transformer for Hyperspectral Image Denoising. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [pdf] [code]
[11] Shihong Wang+, Ruixun Liu+, Kaiyu Li+, Jiawei Jiang, Xiangyong Cao*. Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation. CVPRW, 2024. [pdf] [code] (+co-first author)
[12] Li Pang+, Xiangyu Rui+, Long Cui, Hongzhong Wang, Deyu Meng, Xiangyong Cao*. HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (+co-first author) [pdf] [code]
[13] Xiangyu Rui, Xiangyong Cao*, Li Pang, Zongsheng Yue, Deyu Meng*. Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Models. Information Fusion, 2024. [pdf][code]
[14] Kaiyu Li, Xiangyong Cao*, Deyu Meng. A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [pdf] [code] (ESI高被引)
[15] Jiangjun Peng+, Hailin Wang+, Xiangyong Cao*, Qian Zhao, Jing Yao, Hongying Zhang, Deyu Meng*. Learnable Representative Coefficient Image Denoiser for Hyperspectral Image. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. (+co-first author) [pdf] [code]
2023年：
[1] Yang Chen, Wenfei Cao, Li Pang, Jiangjun Peng, Xiangyong Cao*. Hyperspectral Image Denoising via Texture-preserved Total Variation Regularizer. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023. [code]
[2] Zeyu Zhu, Xiangyong Cao*, Man Zhou, Junhao Huang, Deyu Meng. Probability-based Global Cross-modal Upsampling for Pansharpening. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [code]
[3] Gang Yang, Xiangyong Cao*, Wenzhe Xiao, Man Zhou, Aiping Liu*, Xun Chen, Deyu Meng. PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. IEEE International Conference on Computer Vision (ICCV), 2023. [code]
2022年：
[1] Jiangjun Peng+, Hailin Wang+, Xiangyong Cao*,Xinling Liu, Xiangyu Rui, Deyu Meng*. Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. (+co-first author) [code]
[2] Shuang Xu, Xiangyong Cao*, Jiangjun Peng, Qiao Ke, Cong Ma, Deyu Meng. Hyperspectral Image Denoising by Asymmetric Noise Modeling. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [code]
[3] Yang Chen, Wenfei Cao, Li Pang, Xiangyong Cao. Hyperspectral Image Denoising with Weighted Nonlocal Low-rank Model and Adaptive Total Variation Regularization. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022.
[4] Man Zhou, Keyu Yan, Jinshan Pan, Wenqi Ren, Qi Xie, Xiangyong Cao*. Memory-augmented Deep Unfolding Network for Guided Image Super-resolution. International Journal of Computer Vision (IJCV), 2022.
[5] Xiangyong Cao*, Yang Chen, Wenfei Cao. Proximal PanNet: A Model-based Deep Network for Pansharpening. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022. [code]
2021年：
[1] Xiangyong Cao, Xueyang Fu, Danfeng Hong, Zongben Xu, Deyu Meng*. PanCSC-Net: A model-driven deep unfolding method for pansharpening. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021. [code]
[2] Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng. Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [code]
[3] Xiangyong Cao+, Xueyang Fu+, Chen Xu, Deyu Meng. Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021. (+co-first author) [code] (ESI高被引)
[4] Xueyang Fu, Mengu Wang, Xiangyong Cao*, Xinghao Ding, Zhengjun Zha. A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. [code]
[5] Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Deyu Meng. Online Rain/Snow Removal from Surveillance Videos. IEEE Transactions on Image Processing (TIP), 2021. [code]
2020年：
[1] Haixia Bi, Lin Xu, Xiangyong Cao, Yu Xue, Zongben Xu. Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field. IEEE Transactions on Image Processing (TIP), 2020.
[2] Xueyang Fu, Xiangyong Cao*. Underwater image enhancement with global-local networks and compressed-histogram equalization. Signal Processing: Image Communication, 2020. [code]
[3] Xiangyong Cao, Jing Yao, Xueyang Fu, Haixia Bi, Danfeng Hong. An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 2020. (ESI高被引)
[4] Xiangyong Cao, Jing Yao, Zongben Xu, Deyu Meng. Hyperspectral image classification with convolutional neural network and active learning. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020. (ESI高被引) [code]
[5] Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li. New Interpretations of Normalization Methods in Deep Learning. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.
2019之前：
[1] Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John Paisley. Hyperspectral image classification with Markov random fields and a convolutional neural network. IEEE Transactions on Image Processing (TIP), 2018. (ESI高被引) [code]
[2] Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu. Denoising hyperspectral image with non-iid noise structure. IEEE Transactions on Cybernetics (TC), 2017. [code]
[3] Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu. Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions. IEEE Transactions on Image Processing (TIP), 2016.
[4] Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu. Low-rank matrix factorization under general mixture noise distributions. IEEE International Conference on Computer Vision (ICCV), 2015. (Oral) [code]
专利：
[1]曹相湧，阳港，肖文者，孟德宇. 一种基于流的深度网络的遥感图像全色锐化方法（已受理，2023105506930）
[2]曹相湧，吴雪龙，张友鹏，王启舟，肖文者，祝泽宇，舒程勇，孟德宇. 一种基于时频双流特征表征的锂电池健康状态估计方法（已受理，202310550688X）
[3]芮翔宇，曹相湧，孟德宇. 一种基于超权重网络的高光谱图像去噪方法（已受理，2023111519533）
[4]曹相湧，杜博东，温浩东，孟德宇. 一种基于图信息激励理论的新型图神经网络架构（已受理）
[5]曹相湧，肖文者，王启舟，杨欣可，孟德宇. 基于元学习的锂电池健康状态估计方法及装置 (已受理)
[6]曹相湧，李开宇，孟德宇. 一种用于遥感图像变化检测的大模型适应方法及装置 (已受理)
[7]曹相湧，李开宇，孟德宇. 一种基于视觉语言模型的半监督变化检测方法及装置 (已受理)
[8]曹相湧，唐大涛，王文振，孟德宇. 一种基于多条件可控扩散模型的遥感图像生成方法及装置 (已受理)
[9]曹相湧，庞立，唐大涛，孟德宇. 一种基于空间超分增强的高光谱生成方法及装置 (已受理，2024112772586)
[10]曹相湧，庞立，杨宇航，王启舟，孟德宇. 基于信息特征的电池剩余寿命早期预测方法及装置 (已受理)
