Jinwang Feng

According to our database, Jinwang Feng authored at least 14 papers between 2015 and 2025.

Collaborative distances:

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

2025

Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer 's disease classification.

Jinwang Feng, Mingfeng Jiang, Haowen Zhang, Lingzhi Yin

Biomed. Signal Process. Control., 2025

Advanced Predictive Analytics for Hemorrhagic Complications: A Multi-modal Contrastive Learning and Stacking Ensemble Approach.

Shaoguo Cui, Haodong Xu, Huanhuan Ren, Jinwang Feng, Yongmei Li, Haojie Song

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Accelerating time series similarity search under Move-Split-Merge distance via dissimilarity space embedding.

Haowen Zhang, Juan Li, Jinwang Feng, Qing Yao, Yabo Dong

Expert Syst. Appl., 2024

CM-HTNet: CNN-Mamba-based Framework for Predicting Hemorrhagic Transformation Risk of AIS Patients using Sequence Relationship Modeling and Multi-Modal Cross Attention.

Yuxiang Huang, Huanhuan Ren, Yongmei Li, Jingfeng Jiang, Haodong Xu, Jinwang Feng, Shaoguo Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

High Dimensional Exact $K$ Nearest Neighbor Search Using Lower Bound Technique and Parallel Computing.

Haowen Zhang, Jinwang Feng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Extracting ROI-Based Contourlet Subband Energy Feature From the sMRI Image for Alzheimer's Disease Classification.

Jinwang Feng, Shaowu Zhang, Luonan Chen

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image.

Jinwang Feng, ShaoWu Zhang, Luonan Chen, Chunman Zuo, Alzheimer's Disease Neuroimaging Initiative

Comput. Medical Imaging Graph., 2022

2021

Alzheimer's disease classification using features extracted from nonsubsampled contourlet subband-based individual networks.

Jinwang Feng, Shaowu Zhang, Luonan Chen, Jie Xia

Neurocomputing, 2021

2020

Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier.

Jinwang Feng, Shao-Wu Zhang, Luonan Chen, Alzheimer's Disease Neuroimaging Initiative

Artif. Intell. Medicine, 2020

2018

Multi-scale counting and difference representation for texture classification.

Yongsheng Dong, Jinwang Feng, Chunlei Yang, Xiaohong Wang, Lintao Zheng, Jiexin Pu

Vis. Comput., 2018

2017

Multiscale Sampling Based Texture Image Classification.

Yongsheng Dong, Jinwang Feng, Lingfei Liang, Lintao Zheng, Qingtao Wu

IEEE Signal Process. Lett., 2017

Structural difference histogram representation for texture image classification.

Jinwang Feng, Xinliang Liu, Yongsheng Dong, Lingfei Liang, Jiexin Pu

IET Image Process., 2017

2015

Object recognition based on Gabor wavelet and SVM.

Lei Zhang, Jiexin Pu, Yongsheng Dong, Jinwang Feng, Yang Zhang

Proceedings of the IEEE International Conference on Information and Automation, 2015

Dominant-completed local binary pattern for texture classification.

Jinwang Feng, Yongsheng Dong, Lingfei Liang, Jiexin Pu

Proceedings of the IEEE International Conference on Information and Automation, 2015