论文专利

论文*通讯)

2024年

[1] 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]

[2] Jiangjun Peng+, Hailin Wang+, Xiangyong Cao*, Qian Zhao, 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] Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng. Stable Local-smooth Principal Component Pursuit. SIAM Journal on Imaging Sciences, 2023.

[2] Yifan Wang, Hisao Ishibuchi, Witold Pedrycz, Jihua Zhu, Xiangyong Cao, and Jun Wang. Convolutional Fuzzy Neural Networks with Random Weights for Image Classification. IEEE Transactions on Emerging Topics in Computational Intelligence,  2023.  

[3] Jie Zhang, Mingwen Shao, Yuanjian Qiao, Xiangyong Cao. Enhancing Efficient Global Understanding Network with CSWin Transformer for Urban Scene Images Segmentation.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023. 

[4] Gang Yang, Xiangyong Cao*, Wenzhe Xiao, Man Zhou, Aiping Liu*, Xun Chen, Deyu Meng. PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [code]

[5] Yang Chen, Wenfei Cao, Li Pang, Jiangjun Peng, Xiangyong Cao*. Hyperspectral Image Denoising via Texture-preserved Total Variation RegularizerIEEE Transactions on Geoscience and Remote Sensing  (TGRS), 2023[code]

[6] Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng. Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023. 

[7] Zeyu Zhu, Xiangyong Cao*, Man Zhou, Junhao Huang, Deyu Meng. Probability-based Global Cross-modal Upsampling for Pan-sharpening.  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.  [code]

[8] Yifan Wang, Shuang Xu, Xiangyong Cao, Qiao Ke, Tengyu Ji, Xiangxiang Zhu. Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior.  Remote Sensing, 2023

[9] Kai Sun, Jiangshe Zhang, Junmin Liu, Shuang Xu, Xiangyong CaoModified Dynamic Routing Convolutional Neural Network for Pan-sharpening.  Remote Sensing, 2023

 

 

2022年

[1] Shuang Xu, Xiangyong Cao*, Jiangjun Peng, Qiao Ke, Deyu Meng. Hyperspectral Image Denoising by Asymmetric Noise Modeling. IEEE Transactions on Geoscience and Remote Sensing  (TGRS), 2022 [code]

[2] Jiangjun Peng+, Hailin Wang+Xiangyong Cao*, Xinlin 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]

[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.   [code

[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. (+co-first author) [code

[5] Li Pang+, Weizhen Gu+Xiangyong Cao*, TRQ3DNet: A 3D Quasi-Recurrent and Transformer Based Network for Hyperspectral Image Denoising. Remote Sensing, 2022. [code(+co-first author)

[6] Jing Yao, Xiangyong Cao, Xin Wu, Danfeng Hong, Deyu Meng, Jocelyn Chanussot, Zongben Xu. Semi-Active Hyperspectral Image Classification by Learning Semi-Supervised CNNs. IEEE Transactions on Geoscience and Remote Sensing  (TGRS), 2022. 

[7] Yinsong Yan, Junmin Liu, Shuang Xu, Yicheng Wang, Xiangyong Cao, MD3Net: Integrating Model-driven and Data-driven Approaches for PansharpeningIEEE Transactions on Geoscience and Remote Sensing  (TGRS), 2022. 

[8] Ruihang Xue, Xueru Bai, Xiangyong Cao, Feng Zhou. Sequential ISAR Target Classification Based on Hybrid Transformer. IEEE Transactions on Geoscience and Remote Sensing  (TGRS), 2022. 

[9] Xiangyong Cao, Yang Chen, Wenfei Cao. Proximal PanNet: A Model-based Deep Network for Pansharpening. Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022. [code

 

2021年

[1] 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 Transactions on Geoscience and Remote Sensing  (TGRS), 2021. 

[2] 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

[3] Xueyang Fu, Menglu Wang, Xiangyong Cao*, Xinghao Ding, Zhengjun Zha. A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal. IEEE Transactions on Neural Network and Learning System (TNNLS), 2021. [code]

[4] Xiangyu Rui, Xiangyong Cao, Qie Xie, Zongsheng Yue, Qian Zhao, Deyu Meng. Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [code]

[5] 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]

[6] Xiangyong Cao, Jing Yao, Haixia Bi, Danfeng Hong, Xueyang Fu. An Enhanced 3-Dimensional Discrete Wavelet Transform for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 18(6): 1104-1108, 2021. (ESI高被引)

 

2020年

​​​​​​[1] 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), 58(7): 4604-4616, 2020. [code]  (ESI高被引)

[2] Xueyang Fu, Xiangyong Cao*, Underwater Image Enhancement with Global-Local Networks and Compressed-Histogram Equalization. Signal Processing: Image Communication, volume 86, 2020. [code]

[3] Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chengqiang Gao, Deyu Meng. Online Rain/Snow Removal from Surveillance Videos.  IEEE Transactions on Image Processing (TIP), 2020. [code]

[4] Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li. New Interpretations of Normalization Methods in Deep Learning. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.

[5] 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 Transactions on Image Processing (TIP), DOI: 10.1109/TIP.2020.2992177, 2020.     

[6] Lin Xu, Xiangyong Cao, Jing Yao, Zongben Xu. Orthogonal Super Greedy Algorithm for Sparse Feedforward Neural Network. IEEE Transactions on Network Science and Engineering, 2020.

[7] Siqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Deyu Meng, Tao Yu. Discovering influential factors in variational autoencoder. Pattern Recognition (PR), 100 (2020): 107166.

 

2019年

[1] Xiangyong Cao, Deyu Meng, Zongben Xu. Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature. Remote Sensing, 2019 [code]

 

2018年之前

[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), 27(5): 2354-2367, 2018.[code] (ESI高被引)

[2] 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. [code]

[3] Jing Yao+, Xiangyong Cao+, Qian Zhao, Deyu Meng, Zongben Xu. Robust Subspace Clustering via Penalized Mixture of Gaussian. Neurocomputing, 273, 4-11, 2017. (+co-first author)

[4] Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu. Denoising Hyperspectral Image with Non-i.i.d Noise Structure. IEEE Transactions on Cybernetics (TCYB), 48(3): 1054-1066, 2017.[code]

[5] 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), 25(10): 4677–4690, 2016. [code]

[6] Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu. Low-rank Matrix Factorization under General Mixture Noise Distributions. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2015. (Oral, Accept Rate 3.3%)

[7] Xiangyong Cao, Xiangyu Chang, Zongben Xu. Community Detection for Clustered Attributed Graphs via a Variational EM Algorithm. IEEE International Conference on Big Data Science and Computing, 2014. 

 

 

在投论文:

[1] Xiangyu Rui, Xiangyong Cao*, Jun Shu, Qian Zhao, Deyu Meng*. A Hyper-weight Network for Hyperspectral Image Denoising Submitted to TPAMI (Major) [arXiv] 

[2] Shuang Xu, Zixiang Zhao, Xiangyong Cao*, et.al. Parameterized Low-Rank RegularizerSubmitted to IJCV.

[3] Xiangyu Rui, Xiangyong Cao*, Li Pang, Zeyu Zhu, Zongsheng Yue, Deyu Meng*. Unsupervised Hyperspectral Pansharpening via Low-Rank Diffusion Model. Submitted to Information Fusion (Minor) [arXiv[code]   

[4] Wenzhe Xiao+, Zeyu Zhu+, Qizhou Wang, Li Pang, Chengyong Shu, Zhandong Mei, Deyu Meng, Xiangyong Cao*. TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction  (+co-first author) Submitted to Energy.

[5] Yuntao Shou, Xiangyong Cao*, Deyu Meng. Masked Contrastive Graph Representation Learning for Age EstimationSubmitted.

[6] 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. Submitted to TAC (Major). [arXiv]

[7] 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. Submitted. [arXiv]

[8] Yang Chen, Li Pang, Jiangjun Peng, Shoucheng Yan, Xiangyong Cao*. Hyperspectral Image Denoising with Weighted Nonlocal Low-rank Model and Adaptive Total Variation Regularization. Submitted.

[9] Shuang Xu, Yifan Wang, Zixiang Zhao, Jiangjun Peng, Xiangyong Cao, Deyu Meng, Yulun Zhang, Radu Timofte, Luc Von Gool. Neural Gradient Regularizer. Submitted to IJCV.

[10] Jinbiao Du, Weiwei Fan, Xiangyong Cao, Feng Zhou, Tian Tian. Dual-Alignment Network Empowers Few-Shot SAR Jamming Recognition to Learn to Align. Submitted to TIP.

[11] Xiaodong Tan, Mingwen Shao, Yuanjian Qiao, Tiyao Liu, Xiangyong Cao. Low-Rank Prompt-Guided Transformer for Hyperspectral Image Denoising. Submitted to TGRS (Major) 

[12] Li Pang+, Qizhou Wang+, Wenzhe Xiao, Chengyong Shu, Jun Zhao, Xiangyong Cao*. Early prediction of battery life based on informative features. (+co-first author) Submitted.

 

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)