b'Lei Xing'

research

∙ 12/03/2021

SSDL: Self-Supervised Dictionary Learning

The label-embedded dictionary learning (DL) algorithms generate influent...

Shuai Shao, et al. ∙

research

∙ 12/01/2021

MDFM: Multi-Decision Fusing Model for Few-Shot Learning

In recent years, researchers pay growing attention to the few-shot learn...

Shuai Shao, et al. ∙

research

∙ 11/23/2021

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

Despite the routine use of electronic health record (EHR) data by radiol...

Yuyin Zhou, et al. ∙

research

∙ 09/28/2021

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning

The presence of metallic implants often introduces severe metal artifact...

Lequan Yu, et al. ∙

research

∙ 09/16/2021

MHFC: Multi-Head Feature Collaboration for Few-Shot Learning

Few-shot learning (FSL) aims to address the data-scarce problem. A stand...

Shuai Shao, et al. ∙

research

∙ 09/07/2021

CIM: Class-Irrelevant Mapping for Few-Shot Classification

Few-shot classification (FSC) is one of the most concerned hot issues in...

Shuai Shao, et al. ∙

research

∙ 08/24/2021

NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction

Image reconstruction is an inverse problem that solves for a computation...

Liyue Shen, et al. ∙

research

∙ 05/25/2021

A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction

Deep learning affords enormous opportunities to augment the armamentariu...

Liyue Shen, et al. ∙

research

∙ 05/04/2021

Operator Splitting for Adaptive Radiation Therapy with Nonlinear Health Dynamics

We present an optimization-based approach to radiation treatment plannin...

Anqi Fu, et al. ∙

research

∙ 03/29/2021

DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation

Batch Normalization (BN) is one of the key components for accelerating n...

Junfei Xiao, et al. ∙

research

∙ 10/20/2020

Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction

This paper presents a dictionary learning-based method with region-speci...

Qiong Xu, et al. ∙

research

∙ 09/16/2020

Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images

Computed tomography (CT) has been widely used for medical diagnosis, ass...

Lequan Yu, et al. ∙

research

∙ 07/21/2020

Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis

The automatic diagnosis of various retinal diseases from fundus images i...

Xiaomeng Li, et al. ∙

research

∙ 07/10/2020

Multi-Domain Image Completion for Random Missing Input Data

Multi-domain data are widely leveraged in vision applications taking adv...

Liyue Shen, et al. ∙

research

∙ 06/23/2020

A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions

We develop and analyze a projected particle Langevin optimization method...

Masoud Badiei Khuzani, et al. ∙

research

∙ 11/23/2019

Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations

Purpose: Segmentation of organs-at-risk (OARs) is a bottleneck in curren...

Charles Huang, et al. ∙

research

∙ 11/06/2019

Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications

In recent years, significant progress has been made in developing more a...

Hyunseok Seo, et al. ∙

research

∙ 10/31/2019

Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

Segmentation of livers and liver tumors is one of the most important ste...

Hyunseok Seo, et al. ∙

research

∙ 09/25/2019

A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks

We propose a novel supervised learning method to optimize the kernel in ...

Masoud Badiei Khuzani, et al. ∙

research

∙ 03/15/2019

On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes

We study the problem of learning policy of an infinite-horizon, discount...

Masoud Badiei Khuzani, et al. ∙

research

∙ 02/27/2019

Multiple Kernel Learning from U-Statistics of Empirical Measures in the Feature Space

We propose a novel data-driven method to learn multiple kernels in kerne...

Masoud Badiei Khuzani, et al. ∙

research

∙ 10/11/2017

Quantized Minimum Error Entropy Criterion

Comparing with traditional learning criteria, such as mean square error ...

Badong Chen, et al. ∙

research

∙ 05/31/2017

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI

Magnetic resonance image (MRI) reconstruction is a severely ill-posed li...

Morteza Mardani, et al. ∙

research

∙ 03/23/2017

Robustness of Maximum Correntropy Estimation Against Large Outliers

The maximum correntropy criterion (MCC) has recently been successfully a...

Badong Chen, et al. ∙

research

∙ 12/21/2016

Robust Learning with Kernel Mean p-Power Error Loss

Correntropy is a second order statistical measure in kernel space, which...

Badong Chen, et al. ∙

research

∙ 08/01/2016

Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering

Nonlinear similarity measures defined in kernel space, such as correntro...

Badong Chen, et al. ∙

research

∙ 04/12/2015

Generalized Correntropy for Robust Adaptive Filtering

As a robust nonlinear similarity measure in kernel space, correntropy ha...

Badong Chen, et al. ∙

Lei Xing

Featured Co-authors

Xin Wang

Alan Yuille

Yan Wang

Nanning Zheng

Wei Yu

Song Han

Jing Qin

Jose C. Principe

Wei Zhao

Daguang Xu

Lequan Yu

SSDL: Self-Supervised Dictionary Learning

MDFM: Multi-Decision Fusing Model for Few-Shot Learning

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning

MHFC: Multi-Head Feature Collaboration for Few-Shot Learning

CIM: Class-Irrelevant Mapping for Few-Shot Classification

NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction

A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction

Operator Splitting for Adaptive Radiation Therapy with Nonlinear Health Dynamics

DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation

Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction

Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images

Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis

Multi-Domain Image Completion for Random Missing Input Data

A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions

Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations

Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications

Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks

On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes

Multiple Kernel Learning from U-Statistics of Empirical Measures in the Feature Space

Quantized Minimum Error Entropy Criterion

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI

Robustness of Maximum Correntropy Estimation Against Large Outliers

Robust Learning with Kernel Mean p-Power Error Loss

Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering

Generalized Correntropy for Robust Adaptive Filtering