百晓学者学者目录

张明辉

教授、硕士生导师,南昌大学

精选作品

期刊论文

2026

基于改进粒子群的储能变流器低电压穿越控制建模及参数辨识

严冰融,杨洪涛,张明辉,施涛

《电网与清洁能源》

2026

Multistable ReLU-Type Memristive Heterogeneous Neuron Model With Multiscroll Firing Dynamics and Application in Image Secure Communication

Minghui Zhang, Sen Zhang, Yichen Wang, Chengjie Chen, Xin Ding, Zi-Lu Wang

IEEE Internet of Things Journal

2026

Autocalibration signal-guided multi-frequency diffusion model for dynamic MRI reconstruction

Yu Guan, Wenchao Deng, Qi Qi, Minghui Zhang, Haikun Qi, Xiang Ji, Qiegen Liu

Physics in Medicine and Biology

2025

Research on automatic stacking crane relay for underground container logistics rear yards

Houjun Lu, Minghui Zhang, Yunliang Ge

Engineering Optimization

2025

PD-TD3:高速公路场景下边路协同计算卸载策略

刘毅,杨琪,李国燕,何军,张明辉

《物联网学报》

2025

机器人技术基础

张明辉

《北京理工大学出版社有限责任公司》

2025

基于混合储备池计算模型的物联网交通流量预测研究

张明辉,梅炎炎,张宗辉,张民龙

《物联网技术》

2025

基于BO-LSTM的日光温室温湿度预测系统设计

汪元龙,管卿云,郝志鹏,张明辉

《物联网技术》

2025

Low-rank Adaptation Method for Respiratory Sound Classification: A necessary road towards Large Models

Gaoyang Dong, Yufei Shen, Jianhong Wang, Shunwang Xie, Minghui Zhang, Ping Sun

IEEE International Conference on Acoustics Speech and Signal Processing

2025

REDT: a specialized transformer model for the respiratory phase and adventitious sound detection

Jianhong Wang, Gaoyang Dong, Yufei Shen, Xiaoling Xu, Minghui Zhang, Ping Sun

Physiological Measurement

2024

A Time Series Prediction Model for Wind Power Based on the Empirical Mode Decomposition-Convolutional Neural Network-Three-Dimensional Gated Neural Network

Zhiyong Guo, Fangzheng Wei, Wenkai Qi, Qiaoli Han, Huiyuan Liu, Xiaomei Feng, Minghui Zhang

Sustainability,Vol. 16, No. 8

2024

Research on Motion Mechanism of a Snake-like Robot in Water Environment

Minghui Zhang, Rajitha lakamal bandara Herath

Proceedings of the 2024 3rd International Symposium on Control Engineering and Robotics

2024

Invertible and Variable Augmented Network for Pretreatment Patient-Specific Quality Assurance Dose Prediction

Zhongsheng Zou, Changfei Gong, Lingpeng Zeng, Yu Guan, Bin Huang, Xiuwen Yu, Qiegen Liu, Minghui Zhang

Journal of Imaging Informatics in Medicine

2024

Lightweight Hierarchical Transformer Combining Patch-Random and Positional Encoding for Respiratory Sound Classification

Jianhong Wang, Gaoyang Dong, Yufei Shen, Minghui Zhang, Ping Sun

2023

TransQA: deep hybrid transformer network for measurement-guided volumetric dose prediction of pre-treatment patient-specific quality assurance

Lingpeng Zeng, Minghui Zhang, Yun Zhang, Zhongsheng Zou, Yu Guan, Bin Huang, Xiuwen Yu, Shenggou Ding, Qiegen Liu, Changfei Gong

Physics in Medicine and Biology

2023

Generative Modeling in Sinogram Domain for Sparse-View CT Reconstruction

Bing Guan, Cailian Yang, Liu Zhang, Shanzhou Niu, Minghui Zhang, Yuhao Wang, Weiwen Wu, Qiegen Liu

IEEE Transactions on Radiation and Plasma Medical Sciences

2023

Respiratory Sound Classification Based on Swin Transformer

Weiwei Sun, Fan Zhang, Ping Sun, Qishi Hu, Jianhong Wang, Minghui Zhang

2023

One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction

Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu

IEEE Transactions on Medical Imaging

2023

WKGM: weighted k‐space generative model for parallel imaging reconstruction

Zongjiang Tu, Die Liu, Xiaoqing Wang, Chen Jiang, Pengwen Zhu, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu

NMR in Biomedicine

2023

Low-rank tensor assisted K-space generative model for parallel imaging reconstruction

Wei Zhang, Zengwei Xiao, Hui Tao, Minghui Zhang, Xiaoling Xu, Qiegen Liu

Magnetic Resonance Imaging

2022

Time series forecasting by the novel Gaussian process wavelet self-join adjacent-feedback loop reservoir model

Yatong Zhou, Minghui Zhang, Kuo-Ping Lin

Expert Systems With Applications,Vol. 198

2022

基于建构主义的《机器人技术》启发式案例教学改革研究

张明辉,陈庆光,朱绪力

《中国电力教育》

2022

《机器人技术》案例库的建设研究

陈修龙,盛永超,高顺,张明辉

《创新创业理论研究与实践》

2022

Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships: Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships

Minghui Zhang, Lizong Zhang, Yiying Liu, Xiu-Jian Zhang, Gui-Song Liu

International Conference on Intelligent Information Processing

2022

Virtual coil augmentation for MR coil extrapoltion via deep learning

Cailian Yang, Xianghao Liao, Liu Zhang, Minghui Zhang, Qiegen Liu

Magnetic Resonance Imaging

2022

Universal Generative Modeling for Calibration-Free Parallel Mr Imaging

Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu

IEEE International Symposium on Biomedical Imaging (ISBI)

2022

Highly undersampling dynamic cardiac MRI based on low-rank tensor coding

Die Liu, Jinjie Zhou, Miaomiao Meng, Fan Zhang, Minghui Zhang, Qiegen Liu

Magnetic Resonance Imaging

2021

Super Resolution of MR via Learning Virtual Parallel Imaging

Cailian Yang, Xianghao Liao, Yifan Liao, Minghui Zhang, Qiegen Liu

IEEE International Conference on Medical Imaging Physics and Engineering (ICMIPE)

2021

Multi-wavelet guided deep mean-shift prior for image restoration

Minghui Zhang, Cailian Yang, Yuan Yuan, Yu Guan, Siyuan Wang, Qiegen Liu

Signal Processing Image Communication

2021

Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction

Siyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Yang Chen, Minghui Zhang, Qiegen Liu

Neurocomputing

2020

Poisson Image Restoration via Transformed Network

Xiaoling Xu, Haiyu Zheng, Fengqin Zhang, Hechen Li, Minghui Zhang

Journal of Shanghai Jiaotong University (Science)

2020

REDAEP: Robust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction

Fengqin Zhang, Minghui Zhang, Binjie Qin, Yi Zhang, Zichen Xu, Dong Liang, Qiegen Liu

IEEE Transactions on Radiation and Plasma Medical Sciences

2020

Densely connected network for impulse noise removal

Guanyu Li, Xiaoling Xu, Minghui Zhang, Qiegen Liu

Pattern Analysis and Applications

2020

A Comparative Study of Unsupervised Deep Learning Methods for MRI Reconstruction

Zhuonan He, Cong Quan, Siyuan Wang, Yuanzheng Zhu, Minghui Zhang, Yanjie Zhu, Qiegen Liu

Investigative Magnetic Resonance Imaging

2020

High-dimensional embedding network derived prior for compressive sensing MRI reconstruction

Minghui Zhang, Mengting Li, Jinjie Zhou, Yanjie Zhu, Shanshan Wang, Dong Liang, Yang Chen, Qiegen Liu

Medical Image Analysis

2020

Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning

Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie L. Ying, Shanshan Wang

IEEE International Symposium on Biomedical Imaging (ISBI)

2019

VST-Net: Variance-stabilizing transformation inspired network for Poisson denoising

Minghui Zhang, Fengqin Zhang, Qiegen Liu, Shanshan Wang

Journal of Visual Communication and Image Representation

2019

Bi-path network coupling for single image super-resolution

Yalin Yang, Qiegen Liu, Minghui Zhang, Yuhao Wang

Multimedia Tools and Applications

2019

Multi-Noise and Multi-Channel Derived Prior Information for Grayscale Image Restoration

Minghui Zhang, Yuan Yuan, Fengqin Zhang, Siyuan Wang, Shanshan Wang, Qiegen Liu

IEEE Access

2019

IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI

Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang

IEEE Transactions on Computational Imaging

2019

Highly undersampled magnetic resonance imaging reconstruction using autoencoding priors

Qiegen Liu, Qingxin Yang, Huitao Cheng, Shanshan Wang, Minghui Zhang, Dong Liang

Magnetic Resonance in Medicine

2019

A Network-Driven Prior Induced Bregman Model for Parallel MR Imaging

Guanyu Li, Yiling Liu, Minghui Zhang, Shanshan Wang, Yanjie Zhu, Qiegen Liu, Dong Liang

2018

Iterative scheme-inspired network for impulse noise removal

Minghui Zhang, Yiling Liu, Guanyu Li, Binjie Qin, Qiegen Liu

Pattern Analysis and Applications

2018

Sparse-View CT Reconstruction via Robust and Multi-channels Autoencoding Priors

Minghui Zhang, Fengqin Zhang, Qiegen Liu, Dong Liang

2018

Multi-filters guided low-rank tensor coding for image inpainting

Qiegen Liu, Sanqian Li, Jing Xiao, Minghui Zhang

Signal Processing Image Communication

2018

MF-LRTC: Multi-filters guided low-rank tensor coding for image restoration

Hongyang Lu, Sanqian Li, Qiegen Liu, Minghui Zhang

Neurocomputing

2018

Gradient-Based Low Rank Method for Highly Undersampled Magnetic Resonance Imaging Reconstruction

Xiaoling Xu, Yiling Liu, Qiegen Liu, Hongyang Lu, Minghui Zhang

Journal of Shanghai Jiaotong University (Science)

2017

基于BP-Asym Boost的医疗诊断模型

张涛,郝晓玲,张玥杰,张明辉

《系统工程理论与实践》,Vol. 37, No. 6

2017

Gradient-based low rank method and its application in image inpainting

Hongyang Lu, Qiegen Liu, Minghui Zhang, Yuhao Wang, Xiaohua Deng

Multimedia Tools and Applications

2016

Extended RGB2Gray conversion model for efficient contrast preserving decolorization

Qiegen Liu, Jiaojiao Xiong, Li Zhu, Minghui Zhang, Yuhao Wang

Multimedia Tools and Applications

2016

Two-level Bregman method for MRI reconstruction with graph regularized sparse coding

Qiegen Liu, Hongyang Lu, Minghui Zhang

Transactions of Tianjin University

2015

A generalized relative total variation method for image smoothing

Qiegen Liu, Biao Xiong, Dingcheng Yang, Minghui Zhang

Multimedia Tools and Applications

2015

A generalized two-level Bregman method with dictionary updating for non-convex magnetic resonance imaging reconstruction

Minghui Zhang, Xiaoyang He, Shen-yuan Du, Qiegen Liu

Journal of Shanghai Jiaotong University (Science)

2014

Adaptive Sparse Norm and Nonlocal Total Variation Methods for Image Smoothing

Qiegen Liu, Biao Xiong, Minghui Zhang

Mathematical Problems in Engineering

2014

Adaptive dictionary learning in sparse gradient domain for CT reconstruction

Qiegen Liu, Minghui Zhang, Jun Zhao

IEEE International Symposium on Biomedical Imaging (ISBI)

2011

Cortical surface and volume extraction through two-phase fast marching method

Juan Huang, Minghui Zhang, LuQing Leng

International Conference on Biomedical Engineering and Informatics (BMEI)

2010

A note on coordination in decentralized assembly systems with uncertain component yields

Xiaoming Yan, Minghui Zhang, Ke Liu

European Journal Of Operational Research,Vol. 205, No. 2

预印本

2020

Joint Intensity-Gradient Guided Generative Modeling for Colorization

Hong, Kai, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu

arXiv (Cornell University)

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