A Novel Dictionary Design Algorithm for Sparse Representations. - Yinghao Liao; Quan Xiao; Xinghao Ding; Donghui Guo (CSO (1), 2009)

A New Method for Multi-frame Super-Resolution Reconstruction. - Quan Xiao; Xinghao Ding; Kun Qian; Xinxin Wang (CSO (1), 2009)

Bayesian Robust Principal Component Analysis. - Xinghao Ding; Lihan He; Lawrence Carin (IEEE Trans. Image Process., 2011)

A variational framework for single low light image enhancement using bright channel prior. - Xueyang Fu; Delu Zeng; Yue Huang 001; Xinghao Ding; Xiao-Ping (Steven) Zhang (GlobalSIP, 2013)

Compressed sensing MRI with Bayesian dictionary learning. - Xinghao Ding; John W. Paisley; Yue Huang 001; Xianbo Chen; Feng Huang; Xiao-Ping (Steven) Zhang (ICIP, 2013)

Pan-sharpening based on nonparametric Bayesian adaptive dictionary learning. - Jin Xie; Yue Huang 001; John W. Paisley; Xinghao Ding; Xiao-Ping (Steven) Zhang (ICIP, 2013)

Single-Trial Event-Related Potentials Classification via a Discriminative Dictionary Learning Scheme. - Yue Huang 001; Jun Zhang; Xin Chen 006; Delu Zeng; Xinghao Ding; Dandan Zhang; Qingfeng Cai (ICONIP (1), 2013)

Single-Image-Based Rain and Snow Removal Using Multi-guided Filter. - Xianhui Zheng; Yinghao Liao; Wei Guo; Xueyang Fu; Xinghao Ding (ICONIP (3), 2013)

MR Image Reconstruction from Undersampled k-Space with Bayesian Dictionary Learning - Yue Huang 001; John W. Paisley; Xianbo Chen; Xinghao Ding; Feng Huang; Xiao-Ping (Steven) Zhang (CoRR, 2013)

Pan-sharpening with a Bayesian nonparametric dictionary learning model. - Xinghao Ding; Yiyong Jiang; Yue Huang 001; John W. Paisley (AISTATS, 2014)

A novel retinex based approach for image enhancement with illumination adjustment. - Xueyang Fu; Ye Sun; Minghui LiWang; Yue Huang 001; Xiao-Ping (Steven) Zhang; Xinghao Ding (ICASSP, 2014)

Single-trial Event-related Potentials Denoising based on Collaborative Filtering in Transform Domain. - Yue Huang 001; Xinghao Ding (ICIMCS, 2014)

A retinex-based enhancing approach for single underwater image. - Xueyang Fu; Peixian Zhuang; Yue Huang 001; Yinghao Liao; Xiao-Ping (Steven) Zhang; Xinghao Ding (ICIP, 2014)

A compressed sensing-based pan-sharpening using joint data fidelity and blind blurring kernel estimation. - Yiyong Jiang; Liqin Chen; Wei Wang 155; Xinghao Ding; Yue Huang 001 (ICIP, 2014)

A fusion-based enhancing approach for single sandstorm image. - Xueyang Fu; Yue Huang 001; Delu Zeng; Xiao-Ping (Steven) Zhang; Xinghao Ding (MMSP, 2014)

Robust mixed noise removal with non-parametric Bayesian sparse outlier model. - Peixian Zhuang; Wei Wang 155; Delu Zeng; Xinghao Ding (MMSP, 2014)

Multiple-instance discriminant analysis. - Jing Chai; Xinghao Ding; Hongtao Chen; Tingyu Li (Pattern Recognit., 2014)

Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI. - Yue Huang 001; John W. Paisley; Qin Lin; Xinghao Ding; Xueyang Fu; Xiao-Ping (Steven) Zhang (IEEE Trans. Image Process., 2014)

A novel nonlocal MRI reconstruction algorithm with patch-based low rank regularization. - Liyan Sun; Jinchu Chen; Delu Zeng; Xinghao Ding (GlobalSIP, 2015)

A novel pooling strategy for Full Reference Image Quality Assessment based on harmonic means. - Xinghao Ding; Zheng Zhang; Xin Chen 006; Yue Huang 001 (ICASSP, 2015)

Fast magnetic susceptibility reconstruction using L0 norm of gradient. - Weijun Liu; Jianzhong Lin; Congbo Cai; Delu Zeng; Xinghao Ding (ICASSP, 2015)

Pan-Sharpening with a Hyper-Laplacian Penalty. - Yiyong Jiang; Xinghao Ding; Delu Zeng; Yue Huang 001; John W. Paisley (ICCV, 2015)

Patch-based nonlocal dynamic MRI reconstruction with low-rank prior. - Liyan Sun; Jinchu Chen; Xiao-Ping (Steven) Zhang; Xinghao Ding (MMSP, 2015)

Single-trial ERPs denoising via collaborative filtering on ERPs images. - Yue Huang 001; Xin Chen 006; Jun Zhang; Delu Zeng; Dandan Zhang; Xinghao Ding (Neurocomputing, 2015)

Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT. - Xueyang Fu; Jiye Wang; Delu Zeng; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2015)

A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation. - Xueyang Fu; Yinghao Liao; Delu Zeng; Yue Huang 001; Xiao-Ping (Steven) Zhang; Xinghao Ding (IEEE Trans. Image Process., 2015)

Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy. - Yue Huang 001; Ruiwen Wu; Ye Sun; Wei Wang 155; Xinghao Ding (IEEE Trans. Intell. Transp. Syst., 2015)

A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation. - Xueyang Fu; Delu Zeng; Yue Huang 001; Xiao-Ping (Steven) Zhang; Xinghao Ding (CVPR, 2016)

A fusion-based method for single backlit image enhancement. - Qiuhong Wang; Xueyang Fu; Xiao-Ping (Steven) Zhang; Xinghao Ding (ICIP, 2016)

Speech enhancement based on nonparametric factor analysis. - Lin Li 032; Jiawen Wu; Xinghao Ding; Qingyang Hong; Delu Zeng (ISCSLP, 2016)

Rapid reconstruction of quantitative susceptibility mapping via improved ℓ0 norm approximation. - Congbo Cai; Xi Chen; Weijun Liu; Shuhui Cai; Delu Zeng; Xinghao Ding (Comput. Biol. Medicine, 2016)

Saliency Detection with Spaces of Background-based Distribution. - Tong Zhao; Lin Li; Xinghao Ding; Yue Huang 001; Delu Zeng (CoRR, 2016)

Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model. - Peixian Zhuang; Yue Huang 001; Delu Zeng; Xinghao Ding (Neurocomputing, 2016)

Designing bag-level multiple-instance feature-weighting algorithms based on the large margin principle. - Jing Chai; Zehua Chen; Hongtao Chen; Xinghao Ding (Inf. Sci., 2016)

Single image rain and snow removal via guided L0 smoothing filter. - Xinghao Ding; Liqin Chen; Xianhui Zheng; Yue Huang 001; Delu Zeng (Multim. Tools Appl., 2016)

A harmonic means pooling strategy for structural similarity index measurement in image quality assessment. - Yue Huang 001; Xin Chen 006; Xinghao Ding (Multim. Tools Appl., 2016)

A fusion-based enhancing method for weakly illuminated images. - Xueyang Fu; Delu Zeng; Yue Huang 001; Yinghao Liao; Xinghao Ding; John W. Paisley (Signal Process., 2016)

A novel framework method for non-blind deconvolution using subspace images priors. - Peixian Zhuang; Xueyang Fu; Yue Huang 001; Delu Zeng; Xinghao Ding (Signal Process. Image Commun., 2016)

Saliency Detection With Spaces of Background-Based Distribution. - Tong Zhao; Lin Li 032; Xinghao Ding; Yue Huang 001; Delu Zeng (IEEE Signal Process. Lett., 2016)

Removing Rain from Single Images via a Deep Detail Network. - Xueyang Fu; Jiabin Huang 003; Delu Zeng; Yue Huang 001; Xinghao Ding; John W. Paisley (CVPR, 2017)

Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning. - Yue Huang 001; Han Zheng 004; Chi Liu; Gustavo K. Rohde; Delu Zeng; Jiaqi Wang; Xinghao Ding (ICASSP, 2017)

PanNet: A Deep Network Architecture for Pan-Sharpening. - Junfeng Yang; Xueyang Fu; Yuwen Hu; Yue Huang 001; Xinghao Ding; John W. Paisley (ICCV, 2017)

Camera model identification with residual neural network. - Yunshu Chen; Yue Huang 001; Xinghao Ding (ICIP, 2017)

Compressed sensing MRI using total variation regularization with K-space decomposition. - Liyan Sun; Yue Huang 001; Congbo Cai; Xinghao Ding (ICIP, 2017)

A Simple Convolutional Transfer Neural Networks in Vision Tasks. - Wenlei Wu; Zhaohang Lin; Xinghao Ding; Yue Huang 001 (ICONIP (4), 2017)

Semantic edge detection based on deep metric learning. - Shulian Cai; Jiabin Huang 003; Xinghao Ding; Delu Zeug (ISPACS, 2017)

Two-step approach for single underwater image enhancement. - Xueyang Fu; Zhiwen Fan; Mei Ling; Yue Huang 001; Xinghao Ding (ISPACS, 2017)

High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network. - Congbo Cai; Yiqing Zeng; Chao Wang; Shuhui Cai; Jun Zhang; Zhong Chen 005; Xinghao Ding; Jianhui Zhong (CoRR, 2017)

Multiple-Instance feature extraction at the bag and instance levels using the maximum trace-difference criterion. - Jing Chai; Bo Chen 001; Fan Liu; Zehua Chen; Xinghao Ding (Inf. Sci., 2017)

Image enhancement using divide-and-conquer strategy. - Peixian Zhuang; Xueyang Fu; Yue Huang 001; Xinghao Ding (J. Vis. Commun. Image Represent., 2017)

Non-blind deconvolution with ℓ 1 -norm of high-frequency fidelity. - Peixian Zhuang; Yue Huang 001; Delu Zeng; Xinghao Ding (Multim. Tools Appl., 2017)

Single-Shot T2 Mapping Through OverLapping-Echo Detachment (OLED) Planar Imaging. - Congbo Cai; Yiqing Zeng; Yuchuan Zhuang; Shuhui Cai; Lin Chen; Xinghao Ding; Lijun Bao; Jianhui Zhong; Zhong Chen 005 (IEEE Trans. Biomed. Eng., 2017)

Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal. - Xueyang Fu; Jiabin Huang 003; Xinghao Ding; Yinghao Liao; John W. Paisley (IEEE Trans. Image Process., 2017)

Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images. - Yue Huang 001; Han Zheng 004; Chi Liu; Xinghao Ding; Gustavo K. Rohde (IEEE J. Biomed. Health Informatics, 2017)

Compressed Sensing MRI Using a Recursive Dilated Network. - Liyan Sun; Zhiwen Fan; Yue Huang 001; Xinghao Ding; John W. Paisley (AAAI, 2018)

A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI. - Zhiwen Fan; Liyan Sun; Xinghao Ding; Yue Huang 001; Congbo Cai; John W. Paisley (ECCV (6), 2018)

Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting. - Baolin Du; Qi Qi 005; Han Zheng 004; Yue Huang 001; Xinghao Ding (ICANN (2), 2018)

A Deeply-Recursive Convolutional Network For Crowd Counting. - Xinghao Ding; Zhirui Lin; Fujin He; Yu Wang; Yue Huang 001 (ICASSP, 2018)

Bindctnet: A Simple Binary Dct Network for Image Classification. - Xiangrui Xing; Xian Yu; Wenao Ma; Yue Huang 001; Delu Zeng; Xinghao Ding (ICASSP, 2018)

Man-Made Object Recognition from Underwater Optical Images Using Deep Learning and Transfer Learning. - Xian Yu; Xiangrui Xing; Han Zheng 004; Xueyang Fu; Yue Huang 001; Xinghao Ding (ICASSP, 2018)

Age Estimation from MR Images via 3D Convolutional Neural Network and Densely Connect. - Qi Qi 005; Baolin Du; Mingyong Zhuang; Yue Huang 001; Xinghao Ding (ICONIP (7), 2018)

Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image Through Deep Domain Adaptation. - Chaoqi Chen; Weiping Xie; Yue Huang 001; Xian Yu; Xinghao Ding (ICONIP (5), 2018)

High Efficient Reconstruction of Single-Shot Magnetic Resonance T_2 Mapping Through Overlapping Echo Detachment and DenseNet. - Chao Wang; Yawen Wu; Xinghao Ding; Yue Huang 001; Congbo Cai (ICONIP (6), 2018)

A Deep Ensemble Network for Compressed Sensing MRI. - Huafeng Wu; Yawen Wu; Liyan Sun; Congbo Cai; Yue Huang 001; Xinghao Ding (ICONIP (1), 2018)

MEnet: A Metric Expression Network for Salient Object Segmentation. - Shulian Cai; Jiabin Huang 003; Delu Zeng; Xinghao Ding; John W. Paisley (IJCAI, 2018)

Residual-Guide Network for Single Image Deraining. - Zhiwen Fan; Huafeng Wu; Xueyang Fu; Yue Huang 001; Xinghao Ding (ACM Multimedia, 2018)

A Deep Error Correction Network for Compressed Sensing MRI. - Liyan Sun; Zhiwen Fan; Yue Huang 001; Xinghao Ding; John W. Paisley (CoRR, 2018)

A Divide-and-Conquer Approach to Compressed Sensing MRI. - Liyan Sun; Zhiwen Fan; Xinghao Ding; Congbo Cai; Yue Huang 001; John W. Paisley (CoRR, 2018)

A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction. - Liyan Sun; Zhiwen Fan; Yue Huang 001; Xinghao Ding; John W. Paisley (CoRR, 2018)

Residual-Guide Feature Fusion Network for Single Image Deraining. - Zhiwen Fan; Huafeng Wu; Xueyang Fu; Yue Huang 001; Xinghao Ding (CoRR, 2018)

An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal. - Liyan Sun; Jiexiang Wang; Xinghao Ding; Yue Huang 001; John W. Paisley (CoRR, 2018)

A Deep Tree-Structured Fusion Model for Single Image Deraining. - Xueyang Fu; Qi Qi 005; Yue Huang 001; Xinghao Ding; Feng Wu 001; John W. Paisley (CoRR, 2018)

A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal. - Huangxing Lin; Xueyang Fu; Changxing Jing; Xinghao Ding; Yue Huang 001 (CoRR, 2018)

Vehicle Type Recognition in Surveillance Images From Labeled Web-Nature Data Using Deep Transfer Learning. - Jitian Wang; Han Zheng 004; Yue Huang 001; Xinghao Ding (IEEE Trans. Intell. Transp. Syst., 2018)

A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting. - Zhenqi Fu; Yan Yang; Feng Shao; Xinghao Ding (APSIPA, 2019)

Progressive Feature Alignment for Unsupervised Domain Adaptation. - Chaoqi Chen; Weiping Xie; Wenbing Huang 001; Yu Rong; Xinghao Ding; Yue Huang 001; Tingyang Xu; Junzhou Huang (CVPR, 2019)

A Variational Pan-Sharpening With Local Gradient Constraints. - Xueyang Fu; Zihuang Lin; Yue Huang 001; Xinghao Ding (CVPR, 2019)

Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. - Chengquan Zhang; Borong Liang; Zuming Huang; Mengyi En; Junyu Han; Errui Ding; Xinghao Ding (CVPR, 2019)

Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit. - Fei Li; Hongyu Huang; Yawen Wu; Congbo Cai; Yue Huang 001; Xinghao Ding (ICASSP, 2019)

Two-stream Multi-focus Image Fusion Based on the Latent Decision Map. - Weihong Zeng; Fei Li; Hongyu Huang; Yue Huang 001; Xinghao Ding (ICASSP, 2019)

JPEG Artifacts Reduction via Deep Convolutional Sparse Coding. - Xueyang Fu; Zheng-Jun Zha; Feng Wu 001; Xinghao Ding; John W. Paisley (ICCV, 2019)

Deep Blind Hyperspectral Image Fusion. - Wu Wang; Weihong Zeng; Yue Huang 001; Xinghao Ding; John W. Paisley (ICCV, 2019)

Compressed Sensing MRI with Joint Image-Level and Patch-Level Priors. - Peixian Zhuang; Xinghao Ding (ICIP, 2019)

Pay Attention to Deep Feature Fusion in Crowd Density Estimation. - Huimin Guo; Fujin He; Xin Cheng; Xinghao Ding; Yue Huang 001 (ICONIP (4), 2019)

G-HAPNet: A Novel Structure for Single Image Super-Resolution. - Yan Luo; Mingyong Zhuang; Congbo Cai; Yue Huang 001; Xinghao Ding (ICONIP (5), 2019)

T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection. - Jie Pan; Yunshu Chen; Yue Huang 001; Xinghao Ding; En Cheng (ICONIP (5), 2019)

A Robustness and Low Bit-Rate Image Compression Network for Underwater Acoustic Communication. - Mingyong Zhuang; Yan Luo; Xinghao Ding; Yue Huang 001; Yinghao Liao (ICONIP (2), 2019)

Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. - Liyan Sun; Zhiwen Fan; Xinghao Ding; Yue Huang 001; John W. Paisley (IPMI, 2019)

Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. - Wenao Ma; Shuang Yu; Kai Ma 002; Jiexiang Wang; Xinghao Ding; Yefeng Zheng 001 (MICCAI (1), 2019)

Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. - Jiexiang Wang; Hongyu Huang; Chaoqi Chen; Wenao Ma; Yue Huang 001; Xinghao Ding (STACOM@MICCAI, 2019)

Camera Identification Based on Domain Knowledge-Driven Deep Multi-Task Learning. - Xinghao Ding; Yunshu Chen; Zhen Tang; Yue Huang 001 (IEEE Access, 2019)

Accurate Infant Brain MRI Segmentation via 3D Dense-Fuse Convolution Neural Networks. - Chen Xuheng; Mingyong Zhuang; Congbo Cai; Yue Huang 001; Xinghao Ding (Aust. J. Intell. Inf. Process. Syst., 2019)

Rain O'er Me: Synthesizing real rain to derain with data distillation. - Huangxing Lin; Yanlong Li; Xinghao Ding; Weihong Zeng; Yue Huang 001; John W. Paisley (CoRR, 2019)

Unsupervised Adversarial Graph Alignment with Graph Embedding. - Chaoqi Chen; Weiping Xie; Tingyang Xu; Yu Rong; Wen-bing Huang 001; Xinghao Ding; Yue Huang 001; Junzhou Huang (CoRR, 2019)

Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images. - Jiexiang Wang; Cheng Bian; Meng Li; Xin Yang; Kai Ma 002; Wenao Ma; Jin Yuan; Xinghao Ding; Yefeng Zheng 001 (CoRR, 2019)

Learning Rate Dropout. - Huangxing Lin; Weihong Zeng; Xinghao Ding; Yue Huang 001; Chenxi Huang; John W. Paisley (CoRR, 2019)

Noise2Blur: Online Noise Extraction and Denoising. - Huangxing Lin; Weihong Zeng; Xinghao Ding; Xueyang Fu; Yue Huang 001; John W. Paisley (CoRR, 2019)

Divide-and-conquer framework for image restoration and enhancement. - Peixian Zhuang; Xinghao Ding (Eng. Appl. Artif. Intell., 2019)

Prominent edge detection with deep metric expression and multi-scale features. - Shulian Cai; Jiabin Huang 003; Jing Chen; Yue Huang 001; Xinghao Ding; Delu Zeng (Multim. Tools Appl., 2019)

Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering. - Peixian Zhuang; Qingshan Liu 001; Xinghao Ding (Signal Process., 2019)

MRI reconstruction with an edge-preserving filtering prior. - Peixian Zhuang; Xiaowen Zhu; Xinghao Ding (Signal Process., 2019)

A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction. - Liyan Sun; Zhiwen Fan; Xueyang Fu; Yue Huang 001; Xinghao Ding; John William Paisley (IEEE Trans. Image Process., 2019)

Label-Efficient Breast Cancer Histopathological Image Classification. - Qi Qi 005; Yanlong Li; Jitian Wang; Han Zheng 004; Yue Huang 001; Xinghao Ding; Gustavo Kunde Rohde (IEEE J. Biomed. Health Informatics, 2019)

Harmonizing Transferability and Discriminability for Adapting Object Detectors. - Chaoqi Chen; Zebiao Zheng; Xinghao Ding; Yue Huang 001; Qi Dou 001 (CVPR, 2020)

K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering. - Yiyi Zhou; Rongrong Ji; Xiaoshuai Sun; Gen Luo; Xiaopeng Hong; Jinsong Su; Xinghao Ding; Ling Shao 001 (ACM Multimedia, 2020)

A2Net: Adjacent Aggregation Networks for Image Raindrop Removal. - Huangxing Lin; Changxing Jing; Yue Huang 001; Xinghao Ding (IEEE Access, 2020)

HRRP Target Recognition With Deep Transfer Learning. - Yi Wen 003; Liangchao Shi; Xian Yu; Yue Huang 001; Xinghao Ding (IEEE Access, 2020)

Generator Versus Segmentor: Pseudo-healthy Synthesis. - Yunlong Zhang; Xin Lin; Liyan Sun; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (CoRR, 2020)

A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision. - Liyan Sun; Jianxiong Wu; Xinghao Ding; Yue Huang 001; Guisheng Wang; Yizhou Yu (CoRR, 2020)

Adaptive noise imitation for image denoising. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Yizhou Yu; Xiaoqing Liu; John W. Paisley (CoRR, 2020)

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding. - Liyan Sun; Chenxin Li; Xinghao Ding; Yue Huang 001; Guisheng Wang; Yizhou Yu (CoRR, 2020)

A dual-domain deep lattice network for rapid MRI reconstruction. - Liyan Sun; Yawen Wu; Binglin Shu; Xinghao Ding; Congbo Cai; Yue Huang 001; John W. Paisley (Neurocomputing, 2020)

基于深度邻近连接网络的单幅图像去雨方法 (Single Image De-raining Method Based on Deep Adjacently Connected Networks). - Xueyang Fu; Qi Sun; Yue Huang 001; Xinghao Ding (计算机科学, 2020)

Multiple-source domain adaptation with generative adversarial nets. - Chaoqi Chen; Weiping Xie; Yi Wen 003; Yue Huang 001; Xinghao Ding (Knowl. Based Syst., 2020)

Underwater image enhancement using an edge-preserving filtering Retinex algorithm. - Peixian Zhuang; Xinghao Ding (Multim. Tools Appl., 2020)

Correction to: Underwater image enhancement using an edge-preserving filtering Retinex algorithm. - Peixian Zhuang; Xinghao Ding (Multim. Tools Appl., 2020)

Rain O'er Me: Synthesizing Real Rain to Derain With Data Distillation. - Huangxing Lin; Yanlong Li; Xueyang Fu; Xinghao Ding; Yue Huang 001; John W. Paisley (IEEE Trans. Image Process., 2020)

An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection. - Liyan Sun; Jiexiang Wang; Yue Huang 001; Xinghao Ding; Hayit Greenspan; John W. Paisley (IEEE J. Biomed. Health Informatics, 2020)

Cost-Effective Vehicle Type Recognition in Surveillance Images With Deep Active Learning and Web Data. - Yue Huang 001; Zhenwei Liu; Minghui Jiang 004; Xian Yu; Xinghao Ding (IEEE Trans. Intell. Transp. Syst., 2020)

A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI. - Liyan Sun; Wenao Ma; Xinghao Ding; Yue Huang 001; Dong Liang 001; John W. Paisley (IEEE Trans. Medical Imaging, 2020)

Lightweight Pyramid Networks for Image Deraining. - Xueyang Fu; Borong Liang; Yue Huang 001; Xinghao Ding; John W. Paisley (IEEE Trans. Neural Networks Learn. Syst., 2020)

Vehicle Type Recognition From Surveillance Data Based on Deep Active Learning. - Xinghao Ding; Jitian Wang; Chengwei Dong; Yue Huang 001 (IEEE Trans. Veh. Technol., 2020)

Rain Streak Removal via Dual Graph Convolutional Network. - Xueyang Fu; Qi Qi 005; Zheng-Jun Zha; Yurui Zhu; Xinghao Ding (AAAI, 2021)

Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. - Zhehan Liang; Yu Rong; Chenxin Li; Yunlong Zhang; Yue Huang 001; Tingyang Xu; Xinghao Ding; Junzhou Huang (CIKM, 2021)

I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. - Chaoqi Chen; Zebiao Zheng; Yue Huang 001; Xinghao Ding; Yizhou Yu (CVPR, 2021)

Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. - Chaoqi Chen; Jiongcheng Li; Zebiao Zheng; Yue Huang 001; Xinghao Ding; Yizhou Yu (ICCV, 2021)

TRAR: Routing the Attention Spans in Transformer for Visual Question Answering. - Yiyi Zhou; Tianhe Ren; Chaoyang Zhu; Xiaoshuai Sun; Jianzhuang Liu; Xinghao Ding; Mingliang Xu; Rongrong Ji (ICCV, 2021)

Consistent Posterior Distributions Under Vessel-Mixing: A Regularization For Cross-Domain Retinal Artery/Vein Classification. - Chenxin Li; Yunlong Zhang; Zhehan Liang; Wenao Ma; Yue Huang 001; Xinghao Ding (ICIP, 2021)

Noise2Grad: Extract Image Noise to Denoise. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (IJCAI, 2021)

Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction. - Liyan Sun; Hongyu Huang; Xinghao Ding; Yue Huang 001; Xiaoqing Liu; Yizhou Yu (MICCAI (6), 2021)

Generator Versus Segmentor: Pseudo-healthy Synthesis. - Yunlong Zhang; Chenxin Li; Xin Lin; Liyan Sun; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (MICCAI (6), 2021)

Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation. - Chenxin Li; Yunlong Zhang; Jiongcheng Li; Yue Huang 001; Xinghao Ding (CoRR, 2021)

Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation. - Chenxin Li; Qi Qi 005; Xinghao Ding; Yue Huang 001; Dong Liang 001; Yizhou Yu (CoRR, 2021)

Towards Language-guided Visual Recognition via Dynamic Convolutions. - Gen Luo; Yiyi Zhou; Xiaoshuai Sun; Xinghao Ding; Yongjian Wu 001; Feiyue Huang; Yue Gao 002; Rongrong Ji (CoRR, 2021)

Self-Verification in Image Denoising. - Huangxing Lin; Yihong Zhuang; Delu Zeng; Yue Huang 001; Xinghao Ding; John W. Paisley (CoRR, 2021)

Successive Graph Convolutional Network for Image De-raining. - Xueyang Fu; Qi Qi 005; Zheng-Jun Zha; Xinghao Ding; Feng Wu 001; John W. Paisley (Int. J. Comput. Vis., 2021)

Hard class rectification for domain adaptation. - Yunlong Zhang; Changxing Jing; Huangxing Lin; Chaoqi Chen; Yue Huang 001; Xinghao Ding; Yang Zou (Knowl. Based Syst., 2021)

Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. - Qi Qi 005; Xin Lin; Chaoqi Chen; Weiping Xie; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (IEEE J. Biomed. Health Informatics, 2021)

Crowd Density Estimation Using Fusion of Multi-Layer Features. - Xinghao Ding; Fujin He; Zhirui Lin; Yu Wang; Huimin Guo; Yue Huang 001 (IEEE Trans. Intell. Transp. Syst., 2021)

Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening. - Xueyang Fu; Wu Wang; Yue Huang 001; Xinghao Ding; John W. Paisley (IEEE Trans. Neural Networks Learn. Syst., 2021)

Unsupervised Underwater Image Restoration: From a Homology Perspective. - Zhenqi Fu; Huangxing Lin; Yan Yang; Shu Chai; Liyan Sun; Yue Huang 001; Xinghao Ding (AAAI, 2022)

Uncertainty Inspired Underwater Image Enhancement. - Zhenqi Fu; Wu Wang; Yue Huang 001; Xinghao Ding; Kai-Kuang Ma (ECCV (18), 2022)

Knowledge Condensation Distillation. - Chenxin Li; Mingbao Lin; Zhiyuan Ding; Nie Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Liujuan Cao (ECCV (11), 2022)

Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model. - Shu Chai; Zhenqi Fu; Yue Huang 001; Xiaotong Tu; Xinghao Ding (ICASSP, 2022)

A Robust Object Segmentation Network for UnderWater Scenes. - Ruizhe Chen; Zhenqi Fu; Yue Huang 001; En Cheng; Xinghao Ding (ICASSP, 2022)

Underwater Image Enhancement Via Learning Water Type Desensitized Representations. - Zhenqi Fu; Xiaopeng Lin; Wu Wang; Yue Huang 001; Xinghao Ding (ICASSP, 2022)

A Two-Stage Contrastive Learning Framework For Imbalanced Aerial Scene Recognition. - Lexing Huang; Senlin Cai; Yihong Zhuang; Changxing Jing; Yue Huang 001; Xiaotong Tu; Xinghao Ding (ICASSP, 2022)

Adaptive Variational Nonlinear Chirp Mode Decomposition. - Hao Liang; Xinghao Ding; Andreas Jakobsson; Xiaotong Tu; Yue Huang 001 (ICASSP, 2022)

A Self-Supervised Method for Infrared and Visible Image Fusion. - Xiaopeng Lin; Guanxing Zhou; Weihong Zeng; Xiaotong Tu; Yue Huang 001; Xinghao Ding (ICIP, 2022)

A Simple Siamese Framework for Vibration Signal Representations. - Guanxing Zhou; Yihong Zhuang; Xinghao Ding; Yue Huang 001; Saqlain Abbas; Xiaotong Tu (ICIP, 2022)

Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction. - Zhiyuan Ding; Qi Dong; Haote Xu; Chenxin Li; Xinghao Ding; Yue Huang 001 (ICONIP (3), 2022)

A Hybrid Framework Based on Classifier Calibration for Imbalanced Aerial Scene Recognition. - Yihong Zhuang; Changxing Jing; Senlin Cai; Lexing Huang; Yue Huang 001; Xiaotong Tu; Xinghao Ding (ICONIP (3), 2022)

Domain generalization on medical imaging classification using episodic training with task augmentation. - Chenxin Li; Xin Lin; Yijin Mao; Wei Lin 021; Qi Qi 005; Xinghao Ding; Yue Huang 001; Dong Liang 001; Yizhou Yu (Comput. Biol. Medicine, 2022)

Few-shot medical image segmentation using a global correlation network with discriminative embedding. - Liyan Sun; Chenxin Li; Xinghao Ding; Yue Huang 001; Zhong Chen 005; Guisheng Wang; Yizhou Yu; John W. Paisley (Comput. Biol. Medicine, 2022)

Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification. - Guanxing Zhou; Hao Liang; Xinghao Ding; Yue Huang 001; Xiaotong Tu; Saqlain Abbas (CoRR, 2022)

AFSC: Adaptive Fourier Space Compression for Anomaly Detection. - Haote Xu; Yunlong Zhang; Liyan Sun; Chenxin Li; Yue Huang 001; Xinghao Ding (CoRR, 2022)

A Closer Look at Personalization in Federated Image Classification. - Changxing Jing; Yan Huang 032; Yihong Zhuang; Liyan Sun; Yue Huang 001; Zhenlong Xiao; Xinghao Ding (CoRR, 2022)

Recognition-Aware HRRP Generation With Generative Adversarial Network. - Yue Huang 001; Yi Wen 003; Liangchao Shi; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2022)

Self-Supervised SAR Despeckling Powered by Implicit Deep Denoiser Prior. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2022)

One-Shot HRRP Generation for Radar Target Recognition. - Liangchao Shi; Zhehan Liang; Yi Wen 003; Yihong Zhuang; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Multiscale Feedback Network for Hyperspectral Image Fusion. - Wu Wang; Weihong Zeng; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. - Chenxin Li; Wenao Ma; Liyan Sun; Xinghao Ding; Yue Huang 001; Guisheng Wang; Yizhou Yu (Neural Comput. Appl., 2022)

A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans. - Liyan Sun; Jianxiong Wu; Xinghao Ding; Yue Huang 001; Zhong Chen 005; Guisheng Wang; Yizhou Yu (Neural Comput. Appl., 2022)

High-resolution source localization exploiting the sparsity of the beamforming map. - Xinghao Ding; Hao Liang; Andreas Jakobsson; Xiaotong Tu; Yue Huang 001 (Signal Process., 2022)

Twice Mixing: A rank learning based quality assessment approach for underwater image enhancement. - Zhenqi Fu; Xueyang Fu; Yue Huang 001; Xinghao Ding (Signal Process. Image Commun., 2022)

Two-Level Consistency Metric for Infrared and Visible Image Fusion. - Xiaopeng Lin; Guanxing Zhou; Xiaotong Tu; Yue Huang 001; Xinghao Ding (IEEE Trans. Instrum. Meas., 2022)

Dual Domain Multi-Task Model for Vehicle Re-Identification. - Yue Huang 001; Borong Liang; Weiping Xie; Yinghao Liao; Zhenyu Kuang; Yihong Zhuang; Xinghao Ding (IEEE Trans. Intell. Transp. Syst., 2022)

Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. - Yunlong Zhang; Xin Lin; Yihong Zhuang; Liyan Sun; Yue Huang 001; Xinghao Ding; Guisheng Wang; Lin Yang; Yizhou Yu (IEEE Trans. Medical Imaging, 2022)

A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal. - Xueyang Fu; Menglu Wang 003; Xiangyong Cao; Xinghao Ding; Zheng-Jun Zha (IEEE Trans. Neural Networks Learn. Syst., 2022)

Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. - Huangxing Lin; Yihong Zhuang; Xinghao Ding; Delu Zeng; Yue Huang 001; Xiaotong Tu; John W. Paisley (AAAI, 2023)

Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances. - Zhenqi Fu; Yan Yang; Xiaotong Tu; Yue Huang 001; Xinghao Ding; Kai-Kuang Ma (CVPR, 2023)

Topology Design for Robust IoT Data Gathering via Bayesian Networks. - Haiyan Wei; Zhenlong Xiao; Xinghao Ding; Xianbin Wang 001 (GLOBECOM, 2023)

Hint-Dynamic Knowledge Distillation. - Yiyang Liu; Chenxin Li; Xiaotong Tu; Xinghao Ding; Yue Huang 001 (ICASSP, 2023)

Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks. - Xueye Chu; Zhenqi Fu; Shaocong Yu; Xiaotong Tu; Yue Huang 001; Xinghao Ding (ICIP, 2023)

Radar HRRP Unseen Class Recognition Based on the Joint Dictionary Learning. - Chuchu He; Zhenyu Kuang; Yijin Zhong; Xinghao Ding; Yue Huang 001 (ICIP, 2023)

Joint Under-Sampling Pattern Optimization and Content-Based Reconstruction Network for Fast MRI Reconstruction. - Shaocong Yu; Xueye Chu; Zhenglin Zhou; Jiefeng Guo; Xinghao Ding (ICIP, 2023)

Domain Generalization via Implicit Domain Augmentation. - Zhijie Rao; Qi Dong; Chaoqi Chen; Yue Huang 001; Xinghao Ding (ICONIP (8), 2023)

Domain Generalized Object Detection with Triple Graph Reasoning Network. - Zhijie Rao; Luyao Tang; Yue Huang 001; Xinghao Ding (ICONIP (3), 2023)

Domain-irrelevant Feature Learning for Generalizable Pan-sharpening. - Yunlong Lin; Zhenqi Fu; Ge Meng; Yingying Wang; Yuhang Dong; Linyu Fan; Hedeng Yu; Xinghao Ding (ACM Multimedia, 2023)

Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening. - Yingying Wang; Yunlong Lin; Ge Meng; Zhenqi Fu; Yuhang Dong; Linyu Fan; Hedeng Yu; Xinghao Ding; Yue Huang 001 (ACM Multimedia, 2023)

Boosting Generalization Performance in Person Re-identification. - Lidong Cheng; Zhenyu Kuang; Hongyang Zhang; Xinghao Ding; Yue Huang 001 (PRCV (10), 2023)

High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection. - Yuhang Dong; Yingying Wang; Linyu Fan; Xinghao Ding; Yue Huang 001 (PRCV (12), 2023)

DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening. - Jingjia Huang; Ge Meng; Yingying Wang; Yunlong Lin; Yue Huang 001; Xinghao Ding (PRCV (8), 2023)

Adversarial Robustness via Multi-experts Framework for SAR Recognition with Class Imbalanced. - Chuyang Lin; Senlin Cai; Hailiang Huang; Xinghao Ding; Yue Huang 001 (PRCV (4), 2023)

A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification. - Zhengpeng Lv; Yihong Zhuang; Gang Yang; Yue Huang 001; Xinghao Ding (PRCV (4), 2023)

Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization. - Ying Xu; Chuyang Lin; Yijin Zhong; Yue Huang 001; Xinghao Ding (PRCV (4), 2023)

Infrared and Visible Image Fusion via Test-Time Training. - Guoqing Zheng; Zhenqi Fu; Xiaopeng Lin; Xueye Chu; Yue Huang 001; Xinghao Ding (PRCV (10), 2023)

Graph-Based Dependency-Aware Non-Intrusive Load Monitoring. - Guoqing Zheng; Yuming Hu; Zhenlong Xiao; Xinghao Ding (PRCV (10), 2023)

AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection. - Jie Zhong; Xiaotong Tu; Yue Huang 001; Xinghao Ding (PRCV (5), 2023)

Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming. - Hao Liang; Guanxing Zhou; Xiaotong Tu; Andreas Jakobsson; Xinghao Ding; Yue Huang 001 (CoRR, 2023)

SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection. - Zhijie Rao; Jingcai Guo; Luyao Tang; Yue Huang 001; Xinghao Ding; Song Guo 001 (CoRR, 2023)

Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning. - Jian Xu; Shian Du; Junmei Yang; Xinghao Ding; John W. Paisley; Delu Zeng (CoRR, 2023)

Interclass Similarity Transfer for Imbalanced Aerial Scene Classification. - Changxing Jing; Lexing Huang; Senlin Cai; Yihong Zhuang; Zhenlong Xiao; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2023)

A Contrastive-Based Adversarial Training Algorithm for HRRP Target Recognition. - Ying Xu; Liangchao Shi; Chuyang Lin; Senlin Cai; Wei Lin 021; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2023)

Adaptive Ship Detection From Optical to SAR Images. - Yuxuan Yuan; Zhijie Rao; Chuyang Lin; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2023)

Contrastive Learning for Radar HRRP Recognition With Missing Aspects. - Yijin Zhong; Wei Lin 021; Ying Xu; Lexing Huang; Yue Huang 001; Xinghao Ding (IEEE Geosci. Remote. Sens. Lett., 2023)

Exploring personalization via federated representation Learning on non-IID data. - Changxing Jing; Yan Huang 032; Yihong Zhuang; Liyan Sun; Zhenlong Xiao; Yue Huang 001; Xinghao Ding (Neural Networks, 2023)

Unpaired Speckle Extraction for SAR Despeckling. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-Supervised Video-Based Action Recognition With Disturbances. - Wei Lin 021; Xinghao Ding; Yue Huang 001; Huanqiang Zeng (IEEE Trans. Image Process., 2023)

A Multiscale Approach to Deep Blind Image Quality Assessment. - Manni Liu; Jiabin Huang 003; Delu Zeng; Xinghao Ding; John W. Paisley (IEEE Trans. Image Process., 2023)

A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension. - Yiyi Zhou; Rongrong Ji; Gen Luo; Xiaoshuai Sun; Jinsong Su; Xinghao Ding; Chia-Wen Lin; Qi Tian 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. - Chaoqi Chen; Jiongcheng Li; Hong-Yu Zhou; Xiaoguang Han 001; Yue Huang 001; Xinghao Ding; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Enhanced Deep Blind Hyperspectral Image Fusion. - Wu Wang; Xueyang Fu; Weihong Zeng; Liyan Sun; Ronghui Zhan; Yue Huang 001; Xinghao Ding (IEEE Trans. Neural Networks Learn. Syst., 2023)

Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance. - Wei Lin 021; Xiaoyu Liu; Yihong Zhuang; Xinghao Ding; Xiaotong Tu; Yue Huang 001; Huanqiang Zeng (IEEE Trans. Circuits Syst. Video Technol., 2023)

Enhanced features in image manipulation detection. - Chuchu He; Yunshu Chen; Jie Pan; Yue Huang 001; Xiaotong Tu; Xinghao Ding (Signal Process. Image Commun., 2023)

Distributed representation learning with skip-gram model for trained random forests. - Chao Ma; Tianjun Wang; Le Zhang 001; Zhiguang Cao; Yue Huang 001; Xinghao Ding (Neurocomputing, 2023)

Adaptive nonlinear group delay mode estimation. - Yijin Mao; Xiaotong Tu; Saqlain Abbas; Hao Liang; Yue Huang 001; Xinghao Ding (Signal Process., 2023)

Learning Rate Dropout. - Huangxing Lin; Weihong Zeng; Yihong Zhuang; Xinghao Ding; Yue Huang 001; John W. Paisley (IEEE Trans. Neural Networks Learn. Syst., 2023)

Joint Image and Feature Levels Disentanglement for Generalizable Vehicle Re-identification. - Zhenyu Kuang; Chuchu He; Yue Huang 001; Xinghao Ding; Huafeng Li (IEEE Trans. Intell. Transp. Syst., 2023)

Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration. - Huangxing Lin; Yuhang Dong; Xinghao Ding; Tianpeng Liu; Yongxiang Liu (AAAI, 2024)

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation. - Ge Meng; Jingjia Huang; Yingying Wang; Zhenqi Fu; Xinghao Ding; Yue Huang 001 (AAAI, 2024)

InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. - Zhiwen Fan; Wenyan Cong; Kairun Wen; Kevin Wang; Jian Zhang; Xinghao Ding; Danfei Xu; Boris Ivanovic; Marco Pavone 001; Georgios Pavlakos; Zhangyang Wang; Yue Wang 036 (CoRR, 2024)

Source-free cross-domain fault diagnosis of rotating machinery using the Siamese framework. - Chenyu Ma; Xiaotong Tu; Guanxing Zhou; Yue Huang 001; Xinghao Ding (Knowl. Based Syst., 2024)

AIVR-Net: Attribute-based invariant visual representation learning for vehicle re-identification. - Hongyang Zhang; Zhenyu Kuang; Lidong Cheng; Yinhao Liu; Xinghao Ding; Yue Huang 001 (Knowl. Based Syst., 2024)

Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection. - Linyu Fan; Yingying Wang; Guoliang Hu; Feifei Li; Yuhang Dong; Hui Zheng; Changqing Lin; Yue Huang 001; Xinghao Ding (IEEE Trans. Geosci. Remote. Sens., 2024)

Cross-Modality Interaction Network for Pan-Sharpening. - Yingying Wang; Xuanhua He; Yuhang Dong; Yunlong Lin; Yue Huang 001; Xinghao Ding (IEEE Trans. Geosci. Remote. Sens., 2024)

Learning to sound imaging by a model-based interpretable network. - Yonghua Zhang; Xiaotong Tu; Saqlain Abbas; Hao Liang; Yue Huang 001; Xinghao Ding (Signal Process., 2024)