Xiaoqun Zhang

Xiaoqun Zhang

Shanghai Jiao Tong University

H-index: 26

Asia-China

About Xiaoqun Zhang

Xiaoqun Zhang, With an exceptional h-index of 26 and a recent h-index of 21 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Imaging sciences, inverse problems, optimization, compressive sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Vision graph u-net: Geometric learning enhanced encoder for medical image segmentation and restoration

Robust graph representation learning for local corruption recovery

PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection

NF-ULA: Langevin Monte Carlo with normalizing flow prior for imaging inverse problems

SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy

Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials

An orthogonal matching pursuit optimization method for solving minimum‐monitor‐unit problems: Applications to proton IMPT, ARC and FLASH

On the convergence of continuous and discrete unbalanced optimal transport models

Xiaoqun Zhang Information

University

Position

___

Citations(all)

4389

Citations(since 2020)

1920

Cited By

3159

hIndex(all)

26

hIndex(since 2020)

21

i10Index(all)

42

i10Index(since 2020)

37

Email

University Profile Page

Shanghai Jiao Tong University

Google Scholar

View Google Scholar Profile

Xiaoqun Zhang Skills & Research Interests

Imaging sciences

inverse problems

optimization

compressive sensing

Top articles of Xiaoqun Zhang

Title

Journal

Author(s)

Publication Date

Vision graph u-net: Geometric learning enhanced encoder for medical image segmentation and restoration

Inverse Problems and Imaging

Yuanhong Jiang

Qiaoqiao Ding

Yu Guang Wang

Pietro Liò

Xiaoqun Zhang

2024/6/1

Robust graph representation learning for local corruption recovery

Bingxin Zhou

Yuanhong Jiang

Yuguang Wang

Jingwei Liang

Junbin Gao

...

2023/4/30

PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection

Zhe Xiong

Qiaoqiao Ding

Yuzhong Zhao

Xiaoqun Zhang

2023/10/8

NF-ULA: Langevin Monte Carlo with normalizing flow prior for imaging inverse problems

arXiv preprint arXiv:2304.08342

Ziruo Cai

Junqi Tang

Subhadip Mukherjee

Jinglai Li

Carola Bibiane Schönlieb

...

2023/4/17

SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy

arXiv preprint arXiv:2308.13815

Zhe Xiong

Qiaoqiao Ding

Xiaoqun Zhang

2023/8/26

Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials

arXiv preprint arXiv:2304.04544

Ziruo Cai

Jinglai Li

Xiaoqun Zhang

2023/4/10

An orthogonal matching pursuit optimization method for solving minimum‐monitor‐unit problems: Applications to proton IMPT, ARC and FLASH

Medical Physics

Ya‐Nan Zhu

Xiaoqun Zhang

Yuting Lin

Chris Lominska

Hao Gao

2023/8

On the convergence of continuous and discrete unbalanced optimal transport models

arXiv preprint arXiv:2303.17267

Zhe Xiong

Lei Li

Ya-Nan Zhu

Xiaoqun Zhang

2023/3/30

A distance function based cascaded neural network for accurate polyps segmentation and classification.

Inverse Problems & Imaging

Yuanhong Jiang

Jingwei Liang

Weiqi Xiong

Qiwei Li

Yijue Zhang

...

2023/6/1

Binary quantized network training with sharpness-aware minimization

Journal of Scientific Computing

Ren Liu

Fengmiao Bian

Xiaoqun Zhang

2023/1

Federated Primal Dual Fixed Point Algorithm

arXiv preprint arXiv:2305.13604

Ya-Nan Zhu

Jingwei Liang

Xiaoqun Zhang

2023/5/23

SEA-Net: Structure-Enhanced Attention Network for Limited-Angle CBCT Reconstruction of Clinical Projection Data

IEEE Transactions on Instrumentation and Measurement

Dianlin Hu

Yikun Zhang

Wangyao Li

Weijie Zhang

Krishna Reddy

...

2023/10/9

MRI reconstruction by completing under-sampled K-space data with learnable fourier interpolation

Qiaoqiao Ding

Xiaoqun Zhang

2022/9/17

A dataset-free deep learning method for low-dose CT image reconstruction

Inverse Problems

Qiaoqiao Ding

Hui Ji

Yuhui Quan

Xiaoqun Zhang

2022/9/8

A stochastic three-block splitting algorithm and its application to quantized deep neural networks

arXiv preprint arXiv:2204.11065

Fengmiao Bian

Ren Liu

Xiaoqun Zhang

2022/4/23

Low-rank and framelet based sparsity decomposition for interventional MRI reconstruction

IEEE Transactions on Biomedical Engineering

Zhao He

Ya-Nan Zhu

Suhao Qiu

Tao Wang

Chencheng Zhang

...

2022/1/11

AE-FLOW: autoencoders with normalizing flows for medical images anomaly detection

Yuzhong Zhao

Qiaoqiao Ding

Xiaoqun Zhang

2022/9/29

Learnable multi-scale fourier interpolation for sparse view ct image reconstruction

Qiaoqiao Ding

Hui Ji

Hao Gao

Xiaoqun Zhang

2021

Variable metric extrapolation proximal iterative hard thresholding method for minimization problem

arXiv preprint arXiv:2108.03365

Xue Zhang

Xiaoqun Zhang

2021/8/7

A stochastic alternating direction method of multipliers for non-smooth and non-convex optimization

Inverse Problems

Fengmiao Bian

Jingwei Liang

Xiaoqun Zhang

2021/7/2

See List of Professors in Xiaoqun Zhang University(Shanghai Jiao Tong University)

Co-Authors

H-index: 106
T F Chan

T F Chan

King Abdullah University of Science and Technology

H-index: 79
Andrea Bertozzi

Andrea Bertozzi

University of California, Los Angeles

H-index: 66
Zuowei Shen

Zuowei Shen

National University of Singapore

H-index: 62
Martin Burger

Martin Burger

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 48
Hongkai Zhao

Hongkai Zhao

Duke University

H-index: 46
Xavier Bresson

Xavier Bresson

National University of Singapore

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