A Novel Hybrid Feature Selection Method Based on IFSFFS and SVM for the Diagnosis of Erythemato-Squamous Diseases. - Juanying Xie; Weixin Xie; Chunxia Wang; Xinbo Gao 001 (WAPA, 2010)

Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases. - Juanying Xie; Chunxia Wang (Expert Syst. Appl., 2011)

An Efficient Global K-means Clustering Algorithm. - Juanying Xie; Shuai Jiang; Weixin Xie; Xinbo Gao 001 (J. Comput., 2011)

Novel Hybrid Feature Selection Algorithms for Diagnosing Erythemato-Squamous Diseases. - Juanying Xie; Jinhu Lei; Weixin Xie; Xinbo Gao 001; Yong Shi 001; Xiaohui Liu 001 (HIS, 2012)

Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases. - Juanying Xie; Jinhu Lei; Weixin Xie; Yong Shi 001; Xiaohui Liu 001 (Health Inf. Sci. Syst., 2013)

Extending twin support vector machine classifier for multi-category classification problems. - Juanying Xie; Kate S. Hone; Weixin Xie; Xinbo Gao 001; Yong Shi 001; Xiaohui Liu 001 (Intell. Data Anal., 2013)

A Stable Gene Subset Selection Algorithm for Cancers. - Juanying Xie; Hongchao Gao (HIS, 2015)

Differential Feature Recognition of Breast Cancer Patients Based on Minimum Spanning Tree Clustering and F-statistics. - Juanying Xie; Ying Li; Ying Zhou; Mingzhao Wang (HIS, 2016)

Coordinating Discernibility and Independence Scores of Variables in a 2D Space for Efficient and Accurate Feature Selection. - Juanying Xie; Mingzhao Wang; Ying Zhou; Jinyan Li 001 (ICIC (3), 2016)

Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors. - Juanying Xie; Hongchao Gao; Weixin Xie; Xiaohui Liu 001; Philip W. Grant (Inf. Sci., 2016)

Granular Computing Combined with Support Vector Machines for Diagnosing Erythemato-Squamous Diseases. - Yongchao Wang; Juanying Xie (HIS, 2017)

Clustering by Searching Density Peaks via Local Standard Deviation. - Juanying Xie; Weiliang Jiang; Lijuan Ding (IDEAL, 2017)

Local Standard Deviation Spectral Clustering. - Juanying Xie; Ying Zhou; Lijuan Ding (BigComp, 2018)

Extreme Learning Machine Based Diagnosis Models for Erythemato-Squamous Diseases. - Juanying Xie; Xinyuan Ji; Mingzhao Wang (HIS, 2018)

Connectivity Based Method for Clustering Microbial Communities from Metagenomics Data of Water and Soil Samples. - Jessica S. Rahman; Jinyan Li 001; Juanying Xie; Shoshana Fogelman; Michael Blumenstein (IJCNN, 2018)

An Adaptive Clustering Algorithm by Finding Density Peaks. - Juanying Xie; Weiliang Jiang (PRICAI, 2018)

The Automatic Identification of Butterfly Species. - Juanying Xie; Qi Hou; Yinghuan Shi; Lv Peng; Liping Jing; Fuzhen Zhuang; Junping Zhang; Xiaoyang Tang; Shengquan Xu (CoRR, 2018)

A novel method detecting the key clinic factors of portal vein system thrombosis of splenectomy & cardia devascularization patients for cirrhosis & portal hypertension. - Mingzhao Wang; Linglong Ding; Meng Xu; Juanying Xie; Shengli Wu 006; Shengquan Xu; Yingmin Yao; Qingguang Liu (BMC Bioinform., 2019)

Colon cancer data analysis by chameleon algorithm. - Juanying Xie; Yuchen Wang; Zhaozhong Wu (Health Inf. Sci. Syst., 2019)

The Differential Feature Detection and the Clustering Analysis to Breast Cancers. - Juanying Xie; Zhaozhong Wu; Qin Xia; Lijuan Ding; Hamido Fujita (IEA/AIE, 2020)

The Head and Neck Tumor Segmentation Using nnU-Net with Spatial and Channel 'Squeeze & Excitation' Blocks. - Juanying Xie; Ying Peng (HECKTOR@MICCAI, 2020)

The Head and Neck Tumor Segmentation Based on 3D U-Net. - Juanying Xie; Ying Peng (HECKTOR@MICCAI, 2021)

Investigations of butterfly species identification from images in natural environments. - Juanying Xie; Yinyuan Lu; Zhaozhong Wu; Shengquan Xu; Phil W. Grant (Int. J. Mach. Learn. Cybern., 2021)

SDW-DPC: An Advanced Clustering Algorithm by Searching Density Peaks using Standard Deviation Weighted Distance. - Juanying Xie; Xinglin Liu; Mingzhao Wang; Wenjie Zhang (CCIS, 2022)

The Differential Gene Detecting Method for Identifying Leukemia Patients. - Mingzhao Wang; Weiliang Jiang; Juanying Xie (IEA/AIE, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

PSP-PJMI: An innovative feature representation algorithm for identifying DNA N4-methylcytosine sites. - Mingzhao Wang; Juanying Xie; Philip W. Grant; Shengquan Xu (Inf. Sci., 2022)

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. - Valentin Oreiller; Vincent Andrearczyk; Mario Jreige; Sarah Boughdad; Hesham Elhalawani; Joël Castelli; Martin Vallières; Simeng Zhu; Juanying Xie; Ying Peng; Andrei Iantsen; Mathieu Hatt; et al. (Medical Image Anal., 2022)

KSRFB-net: detecting and identifying butterflies in ecological images based on human visual mechanism. - Juanying Xie; Weixuan Kong; Yinyuan Lu; Philip W. Grant; Shengquan Xu (Int. J. Mach. Learn. Cybern., 2022)

DP-k-modes: A self-tuning k-modes clustering algorithm. - Juanying Xie; Mingzhao Wang; Xiaoxiao Lu; Xinglin Liu; Philip W. Grant (Pattern Recognit. Lett., 2022)

MRFB-Net for Identifying Butterfly Species Via Images Taken in the Field Environments. - Weixuan Kong; Meijun Yang; Jianyu Zhang; Gewei Zhao; Shengquan Xu; Juanying Xie (ICMLC, 2023)

DSSDPP: Data Selection and Sampling Based Domain Programming Predictor for Cross-Project Defect Prediction. - Zhiqiang Li 003; Hongyu Zhang 002; Xiao-Yuan Jing; Juanying Xie; Min Guo; Jie Ren 007 (IEEE Trans. Software Eng., 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

Unsupervised spectral feature selection algorithms for high dimensional data. - Mingzhao Wang; Henry Han; Zhao Huang; Juanying Xie (Frontiers Comput. Sci., 2023)

The nnU-Net based method for automatic segmenting fetal brain tissues. - Ying Peng; Yandi Xu; Mingzhao Wang; Huiquan Zhang; Juanying Xie (Health Inf. Sci. Syst., 2023)

ANN-DPC: Density peak clustering by finding the adaptive nearest neighbors. - Huan Yan; Mingzhao Wang; Juanying Xie (Knowl. Based Syst., 2024)

SFKNN-DPC: Standard deviation weighted distance based density peak clustering algorithm. - Juanying Xie; Xinglin Liu; Mingzhao Wang (Inf. Sci., 2024)

CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images. - Haider Ali; Mingzhao Wang; Juanying Xie (Cogn. Comput., 2024)

Feature Selection With Discernibility and Independence Criteria. - Juanying Xie; Mingzhao Wang; Philip W. Grant; Witold Pedrycz (IEEE Trans. Knowl. Data Eng., 2024)

Bidirectional Position-Context Feature Representation for Predicting DNA/RNA Modification Sites. - Cheng Xu; Mingzhao Wang; Jinyan Li; Juanying Xie (ISBRA (2), 2025)

DFIT-Net: A novel dynamic feature integration transformer for automatic segmentation of multi-organ structures in medical imaging. - Haider Ali; Juanying Xie (Displays, 2025)

Polyp segmentation in medical imaging: challenges, approaches and future directions. - Abdul Qayoom; Juanying Xie; Haider Ali (Artif. Intell. Rev., 2025)

NGC-R2Net: Next-generation convolutions with recurrent residual networks for skin lesion segmentation. - Haider Ali; Juanying Xie (Digit. Signal Process., 2026)

WANN-DPC: Density peaks finding clustering based on Weighted Adaptive Nearest Neighbors. - Juanying Xie; Huan Yan; Mingzhao Wang; Philip W. Grant; Witold Pedrycz (Pattern Recognit., 2026)