Key Variables Soft Measurement of Wastewater Treatment Process Based on Hierarchical Extreme Learning Machine. - Feixiang Zhao; Mingzhe Liu 001; Binyang Jia; Xin Jiang 006; Jun Ren (ELM, 2018)

A Design of Mobile Phone Privacy Protection Based on Block Chain. - Kun Yang; Mingzhe Liu 001; Yaming Yang 003; Xin Jiang 006 (ICCCS (4), 2018)

A Security Sandbox Approach of Android Based on Hook Mechanism. - Xin Jiang 006; Mingzhe Liu 001; Kun Yang; Yanhua Liu; Ruili Wang (Secur. Commun. Networks, 2018)

A Novel Vehicle Blockchain Model Based on Hyperledger Fabric for Vehicle Supply Chain Management. - Kun Wang; Mingzhe Liu 001; Xin Jiang 006; Chen Yang; Hong Zhang 050 (BlockSys, 2019)

Particle swarm optimization with damping factor and cooperative mechanism. - Mingfu He; Mingzhe Liu 001; Ruili Wang; Xin Jiang 006; Bingqi Liu; Helen Zhou (Appl. Soft Comput., 2019)

A semi-supervised convolutional transfer neural network for 3D pulmonary nodules detection. - Mingzhe Liu 001; Xin Jiang 006; Yanhua Liu; Feixiang Zhao; Helen Zhou (Neurocomputing, 2020)

A novel super-resolution CT image reconstruction via semi-supervised generative adversarial network. - Xin Jiang 006; Mingzhe Liu 001; Feixiang Zhao; Xianghe Liu; Helen Zhou (Neural Comput. Appl., 2020)

Dilated Adversarial U-Net Network for automatic gross tumor volume segmentation of nasopharyngeal carcinoma. - Yanhua Liu; Xiaoguang Yuan; Xin Jiang 006; Pei Wang; Jinqiao Kou; Haofeng Wang; Mingzhe Liu 001 (Appl. Soft Comput., 2021)

Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets. - Jiaru Jia; Mingzhe Liu 001; Jiake Xie; Xin Chen; Aiqing Yang; Xin Jiang 006; Hong Zhang 050; Yong Tang (CoRR, 2022)

Parallel Binary Image Cryptosystem Via Spiking Neural Networks Variants. - Mingzhe Liu 001; Feixiang Zhao; Xin Jiang 006; Hong Zhang 050; Helen Zhou (Int. J. Neural Syst., 2022)

Multimodal Image Fusion for X-ray Grating Interferometry. - Haoran Liu; Mingzhe Liu 001; Xin Jiang 006; Jinglei Luo; Yuming Song; Xingyue Chu; Guibin Zan (Sensors, 2023)

Dual-scale similarity-guided cycle generative adversarial network for unsupervised low-dose CT denoising. - Feixiang Zhao; Mingzhe Liu 001; Zhihong Gao; Xin Jiang 006; Ruili Wang; Lejun Zhang (Comput. Biol. Medicine, 2023)

BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI. - Xin Jiang 006; Yizhou Ding; Mingzhe Liu 001; Yong Wang; Yan Li; Zongda Wu (Comput. Biol. Medicine, 2023)

Self-supervised deep learning for joint 3D low-dose PET/CT image denoising. - Feixiang Zhao; Dongfen Li; Rui Luo; Mingzhe Liu 001; Xin Jiang 006; Junjie Hu 004 (Comput. Biol. Medicine, 2023)

Random-coupled Neural Network. - Haoran Liu; Mingzhe Liu 001; Peng Li; Jiahui Wu; Xin Jiang 006; Zhuo Zuo; Bingqi Liu (CoRR, 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 006; Jiaxing Mao; Linlin Zhuo; Mingzhe Liu 001; Xiangzheng Fu; Xiaojun Yao (J. Chem. Inf. Model., 2024)

An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy. - Rui Wang; Zhecheng Zhou; Xiaonan Wu; Xin Jiang 006; Linlin Zhuo; Mingzhe Liu 001; Hao Li 025; Xiangzheng Fu; Xiaojun Yao (J. Chem. Inf. Model., 2024)