Mingzhe Liu

According to our database, Mingzhe Liu authored at least 39 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation.

Shengxiang Wang, Ge Li, Min Gao, Linlin Zhuo, Mingzhe Liu, Zhizhong Ma, Wei Zhao, Xiangzheng Fu

npj Digit. Medicine, 2025

Complex network structural analysis based on information supplementation graph contrastive learning.

Biao Cai, Jian Wang, Xiaochuan Tang, Xu Li, Nengbin Hu, Yanmei Hu, Mingzhe Liu, Qiang Miao

Knowl. Based Syst., 2025

Adaptive density-based clustering for many objective similarity or redundancy evolutionary optimization.

Mingjing Wang, Ali Asghar Heidari, Long Chen, Ruili Wang, Mingzhe Liu, Lizhi Shao, Huiling Chen

Expert Syst. Appl., 2025

2024

FlowgateUNet: Dental CT image segmentation network based on FlowFormer and gated attention.

Danhua Cao, Biao Cai, Mingzhe Liu

Signal Image Video Process., 2024

An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy.

Rui Wang, Zhecheng Zhou, Xiaonan Wu, Xin Jiang, Linlin Zhuo, Mingzhe Liu, Hao Li, Xiangzheng Fu, Xiaojun Yao

J. Chem. Inf. Model., 2024

ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph.

Tao Wang, Wentao Wang, Xin Jiang, Jiaxing Mao, Linlin Zhuo, Mingzhe Liu, Xiangzheng Fu, Xiaojun Yao

J. Chem. Inf. Model., 2024

Random-coupled Neural Network.

Haoran Liu, Mingzhe Liu, Peng Li, Jiahui Wu, Xin Jiang, Zhuo Zuo, Bingqi Liu

CoRR, 2024

Advancing Music Emotion Recognition: A Transformer Encoder-Based Approach.

Yangyuan Chen, Zhizhong Ma, Mingjing Wang, Mingzhe Liu

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Moving Object Tracking based on Kernel and Random-coupled Neural Network.

Yiran Chen, Haoran Liu, Mingzhe Liu, Yanhua Liu, Ruili Wang, Peng Li

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Automatic Fruit Detection Based on Robotic Vision.

Yiran Chen, Rui Yao, Haoran Liu, Bingqi Liu, Mingzhe Liu

Proceedings of the 5th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2024

2023

Self-supervised deep learning for joint 3D low-dose PET/CT image denoising.

Feixiang Zhao, Dongfen Li, Rui Luo, Mingzhe Liu, Xin Jiang, Junjie Hu

Comput. Biol. Medicine, October, 2023

BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI.

Xin Jiang, Yizhou Ding, Mingzhe Liu, Yong Wang, Yan Li, Zongda Wu

Comput. Biol. Medicine, October, 2023

Dual-scale similarity-guided cycle generative adversarial network for unsupervised low-dose CT denoising.

Feixiang Zhao, Mingzhe Liu, Zhihong Gao, Xin Jiang, Ruili Wang, Lejun Zhang

Comput. Biol. Medicine, July, 2023

Multi-head attention-based two-stream EfficientNet for action recognition.

Aihua Zhou, Yujun Ma, Wanting Ji, Ming Zong, Pei Yang, Min Wu, Mingzhe Liu

Multim. Syst., April, 2023

Multimodal Image Fusion for X-ray Grating Interferometry.

Haoran Liu, Mingzhe Liu, Xin Jiang, Jinglei Luo, Yuming Song, Xingyue Chu, Guibin Zan

Sensors, March, 2023

2022

Automatic Detection of Coseismic Landslides Using a New Transformer Method.

Xiaochuan Tang, Zihan Tu, Yu Wang, Mingzhe Liu, Dongfen Li, Xuanmei Fan

Remote. Sens., 2022

MFF-Net: A multi-feature fusion network for community detection in complex network.

Biao Cai, Mingyue Wang, Yongkeng Chen, Yanmei Hu, Mingzhe Liu

Knowl. Based Syst., 2022

Parallel Binary Image Cryptosystem Via Spiking Neural Networks Variants.

Mingzhe Liu, Feixiang Zhao, Xin Jiang, Hong Zhang, Helen Zhou

Int. J. Neural Syst., 2022

Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets.

Jiaru Jia, Mingzhe Liu, Jiake Xie, Xin Chen, Aiqing Yang, Xin Jiang, Hong Zhang, Yong Tang

CoRR, 2022

2021

Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review.

Wanting Ji, Yan Pang, Xiaoyun Jia, Zhongwei Wang, Feng Hou, Baoyan Song, Mingzhe Liu, Ruili Wang

WIREs Data Mining Knowl. Discov., 2021

MILL: Channel Attention-based Deep Multiple Instance Learning for Landslide Recognition.

Xiaochuan Tang, Mingzhe Liu, Hao Zhong, Yuanzhen Ju, Weile Li, Qiang Xu

ACM Trans. Multim. Comput. Commun. Appl., 2021

Multi-cue based four-stream 3D ResNets for video-based action recognition.

Lei Wang, Xiaoguang Yuan, Ming Zong, Yujun Ma, Wanting Ji, Mingzhe Liu, Ruili Wang

Inf. Sci., 2021

Dilated Adversarial U-Net Network for automatic gross tumor volume segmentation of nasopharyngeal carcinoma.

Yanhua Liu, Xiaoguang Yuan, Xin Jiang, Pei Wang, Jinqiao Kou, Haofeng Wang, Mingzhe Liu

Appl. Soft Comput., 2021

2020

A novel super-resolution CT image reconstruction via semi-supervised generative adversarial network.

Xin Jiang, Mingzhe Liu, Feixiang Zhao, Xianghe Liu, Helen Zhou

Neural Comput. Appl., 2020

A semi-supervised convolutional transfer neural network for 3D pulmonary nodules detection.

Mingzhe Liu, Xin Jiang, Yanhua Liu, Feixiang Zhao, Helen Zhou

Neurocomputing, 2020

Bidirectional Quantum Teleportation by Using a Four-Qubit GHZ State and Two Bell States.

Jinlian Chen, Dongfen Li, Mingzhe Liu, Yaming Yang

IEEE Access, 2020

2019

A new local density and relative distance based spectrum clustering.

Mingzhe Liu, Mingfu He, Ruili Wang, Shaoda Li

Knowl. Inf. Syst., 2019

Particle swarm optimization with damping factor and cooperative mechanism.

Mingfu He, Mingzhe Liu, Ruili Wang, Xin Jiang, Bingqi Liu, Helen Zhou

Appl. Soft Comput., 2019

A Novel Vehicle Blockchain Model Based on Hyperledger Fabric for Vehicle Supply Chain Management.

Kun Wang, Mingzhe Liu, Xin Jiang, Chen Yang, Hong Zhang

Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019

2018

A Security Sandbox Approach of Android Based on Hook Mechanism.

Xin Jiang, Mingzhe Liu, Kun Yang, Yanhua Liu, Ruili Wang

Secur. Commun. Networks, 2018

Review on mining data from multiple data sources.

Ruili Wang, Wanting Ji, Mingzhe Liu, Xun Wang, Jian Weng, Song Deng, Suying Gao, Chang-an Yuan

Pattern Recognit. Lett., 2018

Review on Blockchain Application for Internet of Things.

Qin Zhou, Yaming Yang, Jinlian Chen, Mingzhe Liu

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

Application of BlockChain in Internet of Things.

Yanhan Yang, Yaming Yang, Jinlian Chen, Mingzhe Liu

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

A Design of Mobile Phone Privacy Protection Based on Block Chain.

Kun Yang, Mingzhe Liu, Yaming Yang, Xin Jiang

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

Authentication of Quantum Dialogue Under Noise.

Dong-fen Li, Rui-Jin Wang, Daniel Adu-Gyamfi, Jin-lian Chen, Ya-Ming Yang, Mingzhe Liu

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

Key Variables Soft Measurement of Wastewater Treatment Process Based on Hierarchical Extreme Learning Machine.

Feixiang Zhao, Mingzhe Liu, Binyang Jia, Xin Jiang, Jun Ren

Proceedings of ELM 2018, 2018

2005

A Genetic-Algorithm-Based Neural Network Approach for Short-Term Traffic Flow Forecasting.

Mingzhe Liu, Ruili Wang, Jiansheng Wu, Ray H. Kemp

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Towards a Realistic Microscopic Traffic Simulation at an Unsignalised Intersection.

Mingzhe Liu, Ruili Wang, Ray H. Kemp

Proceedings of the Computational Science and Its Applications, 2005

A Realistic Cellular Automata Model to Simulate Traffic Flow at Urban Roundabouts.

Ruili Wang, Mingzhe Liu

Proceedings of the Computational Science, 2005