Hui Huang

According to our database, Hui Huang authored at least 19 papers between 2017 and 2024.

Collaborative distances:

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

2024

Research of spatial context convolutional neural networks for early diagnosis of Alzheimer's disease.

Yinsheng Tong, Zuoyong Li, Hui Huang, Libin Gao, Minghai Xu, Zhongyi Hu

J. Supercomput., March, 2024

2023

Multiband seizure type classification based on 3D convolution with attention mechanisms.

Hui Huang, Peiyu Chen, Jianfeng Wen, Xuzhe Lu, Nan Zhang

Comput. Biol. Medicine, November, 2023

Semantic Segmentation Algorithm for Remote Sensing Images Based on Attention Mechanism.

Jionghui Jiang, Xi'an Feng, Hui Huang

Proceedings of the IEEE International Conference on Signal Processing, 2023

2022

Mask RCNN algorithm for nuclei detection on breast cancer histopathological images.

Hui Huang, Xi'an Feng, Jionghui Jiang, Peiyu Chen, Suying Zhou

Int. J. Imaging Syst. Technol., 2022

Levy-based antlion-inspired optimizers with orthogonal learning scheme.

Abdoul Fatakhou Ba, Hui Huang, Mingjing Wang, Xiaojia Ye, Zhiyang Gu, Huiling Chen, Xueding Cai

Eng. Comput., 2022

Hierarchical Harris hawks optimization for epileptic seizure classification.

Zhenzhen Luo, Shan Jin, Zuoyong Li, Hui Huang, Lei Xiao, Huiling Chen, Ali Asghar Heidari, Jiao Hu, Changzu Chen, Peiyu Chen, Zhongyi Hu

Comput. Biol. Medicine, 2022

An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images.

Xiaowei Chen, Hui Huang, Ali Asghar Heidari, Chuanyin Sun, Yinqiu Lv, Wenyong Gui, Guoxi Liang, Zhiyang Gu, Huiling Chen, Chengye Li, Peirong Chen

Comput. Biol. Medicine, 2022

2021

Medical image fusion using Transfer Learning and L-BFGS optimization algorithm.

Jionghui Jiang, Xi'an Feng, Zhiwen Hu, Xiaodong Hu, Fen Liu, Hui Huang

Int. J. Imaging Syst. Technol., 2021

2020

Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis.

Xinyu Wang, Huiling Chen, Ali Asghar Heidari, Xiang Zhang, Jian Xu, Yitie Xu, Hui Huang

Knowl. Based Syst., 2020

Rationalized Sine Cosine Optimization With Efficient Searching Patterns.

Hui Huang, Xi'an Feng, Ali Asghar Heidari, Yueting Xu, Mingjing Wang, Guoxi Liang, Huiling Chen, Xueding Cai

IEEE Access, 2020

2019

A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features.

Hui Huang, Xi'an Feng, Suying Zhou, Jionghui Jiang, Huiling Chen, Yuping Li, Chengye Li

BMC Bioinform., 2019

A New Kernel Extreme Learning Machine Framework for Somatization Disorder Diagnosis.

Jie Luo, Huiling Chen, Zhongyi Hu, Hui Huang, Pengjun Wang, Xianqin Wang, Xin-En Lv, Congcong Wen

IEEE Access, 2019

Multi-Spectral RGB-NIR Image Classification Using Double-Channel CNN.

Jionghui Jiang, Xi'an Feng, Fen Liu, Yingying Xu, Hui Huang

IEEE Access, 2019

2018

Developing a new intelligent system for the diagnosis of tuberculous pleural effusion.

Chengye Li, Lingxian Hou, Bishundat Yanesh Sharma, Huaizhong Li, Chengshui Chen, Yuping Li, Xuehua Zhao, Hui Huang, Zhennao Cai, Huiling Chen

Comput. Methods Programs Biomed., 2018

An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach.

Zhennao Cai, Jianhua Gu, Caiyun Wen, Dong Zhao, Chunyu Huang, Hui Huang, Changfei Tong, Jun Li, Huiling Chen

Comput. Math. Methods Medicine, 2018

2017

Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features.

Hui Huang, Xi'an Feng, Jionghui Jiang

J. Electr. Comput. Eng., 2017

Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses.

Mingjing Wang, Huiling Chen, Bo Yang, Xuehua Zhao, Lufeng Hu, Zhen-Nao Cai, Hui Huang, Changfei Tong

Neurocomputing, 2017

An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis.

Qiang Li, Huiling Chen, Hui Huang, Xuehua Zhao, Zhen-Nao Cai, Changfei Tong, Wenbin Liu, Xin Tian

Comput. Math. Methods Medicine, 2017

3D-FOAdis: An Improved Fruit Fly Optimization for Function Optimization.

Kejie Wang, Huiling Chen, Qiang Li, Junjie Zhu, Shubiao Wu, Hui Huang

Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017