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Lei Zhang
366 publications
Deniz Gündüz
185 publications
Wangmeng Zuo
158 publications
David Lo
123 publications
Yefeng Zheng
117 publications
Michael R. Lyu
106 publications
Deyu Meng
103 publications
Xin Xia
93 publications
Yao Wang
89 publications
Zibin Zheng
82 publications
Hong Wang
70 publications

∙ 12/26/2022

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

During X-ray computed tomography (CT) scanning, metallic implants carryi...

0 Hong Wang, et al. ∙

∙ 09/30/2022

A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback

Channel state information (CSI) plays a critical role in achieving the p...

0 Zhengyang Hu, et al. ∙

∙ 09/21/2022

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution

Although current deep learning-based methods have gained promising perfo...

0 Jiahong Fu, et al. ∙

∙ 05/15/2022

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

Deep generative models have achieved tremendous success in designing nov...

44 Xingang Peng, et al. ∙

∙ 02/12/2022

Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment

Motivated by their recent advances, deep learning techniques have been w...

0 Xinyi Liu, et al. ∙

∙ 07/30/2021

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions

It has been shown that equivariant convolution is very helpful for many ...

2 Qi Xie, et al. ∙

∙ 07/14/2021

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining

As a common weather, rain streaks adversely degrade the image quality. H...

2 Hong Wang, et al. ∙

∙ 10/13/2020

Automating App Review Response Generation Based on Contextual Knowledge

User experience of mobile apps is an essential ingredient that can influ...

0 Cuiyun Gao, et al. ∙

∙ 08/08/2020

From Rain Removal to Rain Generation

Single image deraining is an important yet challenging issue due to the ...

36 Hong Wang, et al. ∙

∙ 08/03/2020

Learning to Purify Noisy Labels via Meta Soft Label Corrector

Recent deep neural networks (DNNs) can easily overfit to biased training...

1 Yichen Wu, et al. ∙

∙ 05/19/2020

Structural Residual Learning for Single Image Rain Removal

To alleviate the adverse effect of rain streaks in image processing task...

9 Hong Wang, et al. ∙

∙ 05/04/2020

A Model-driven Deep Neural Network for Single Image Rain Removal

Deep learning (DL) methods have achieved state-of-the-art performance in...

17 Hong Wang, et al. ∙

∙ 02/20/2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels

While deep networks have strong fitting capability to complex input patt...

0 Jun Shu, et al. ∙

∙ 02/20/2019

Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels

While deep networks have strong fitting capability to complex input patt...

0 Jun Shu, et al. ∙

∙ 01/10/2019

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Hyperspectral imaging can help better understand the characteristics of ...

10 Qi Xie, et al. ∙

∙ 11/08/2018

Tools and Benchmarks for Automated Log Parsing

Logs are imperative in the development and maintenance process of many s...

0 Jieming Zhu, et al. ∙

∙ 09/18/2018

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing

The 3-D total variation (3DTV) is a powerful regularization term, which ...

0 Jiangjun Peng, et al. ∙

∙ 08/08/2018

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement

Recently, deep learning(DL) methods have been proposed for the low-dose ...

0 Mingrui Geng, et al. ∙

∙ 05/23/2014

On the Optimal Solution of Weighted Nuclear Norm Minimization

In recent years, the nuclear norm minimization (NNM) problem has been at...

0 Qi Xie, et al. ∙

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