Optimal multilevel thresholding using molecular kinetic theory optimization algorithm. - Chaodong Fan; Honglin Ouyang; Yingjie Zhang; Leyi Xiao (Appl. Math. Comput., 2014)

Energy Noise Detection FCM for Breast Tumor Image Segmentation. - Leyi Xiao; Han Qi; Chaodong Fan; Zhaoyang Ai (IEEE Access, 2020)

A surrogate-assisted particle swarm optimization using ensemble learning for expensive problems with small sample datasets. - Chaodong Fan; Bo Hou; Jinhua Zheng; Leyi Xiao; Lingzhi Yi (Appl. Soft Comput., 2020)

Otsu?s thresholding method based on plane intercept histogram and geometric analysis. - Leyi Xiao; Honglin Ouyang; Chaodong Fan (Int. Arab J. Inf. Technol., 2020)

MR brain image segmentation using elite kinetic-molecular theory optimisation algorithm. - Chaodong Fan; Ningjun Zheng; Juan Zou; Leyi Xiao (Int. J. Autom. Control., 2020)

Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting. - Chaodong Fan; Changkun Ding; Jinhua Zheng; Leyi Xiao; Zhaoyang Ai (Neurocomputing, 2020)

Gesture image segmentation with Otsu's method based on noise adaptive angle threshold. - Leyi Xiao; Honglin Ouyang; Chaodong Fan; Tariq Umer; Ramesh Chandra Poonia; Shaohua Wan 001 (Multim. Tools Appl., 2020)

Kinetic-molecular theory optimization algorithm using opposition-based learning and varying accelerated motion. - Chaodong Fan; Ningjun Zheng; Jinhua Zheng; Leyi Xiao; Yingnan Liu (Soft Comput., 2020)

Design and Implementation of Wireless Environment Monitoring System Based on STM32. - Xilong Qu; Shengzong Liu; Sha Fu; Hong He; Ying Hu; Leyi Xiao (Sci. Program., 2021)

A coevolution algorithm based on two-staged strategy for constrained multi-objective problems. - Chaodong Fan; Jiawei Wang; Leyi Xiao; Fanyong Cheng; Zhaoyang Ai; Zhenhuan Zeng (Appl. Intell., 2022)

Adaptive trapezoid region intercept histogram based Otsu method for brain MR image segmentation. - Leyi Xiao; Chaodong Fan; Honglin Ouyang; Andrea F. Abate; Shaohua Wan 001 (J. Ambient Intell. Humaniz. Comput., 2022)

DEA-UNet: a dense-edge-attention UNet architecture for medical image segmentation. - Zhenhuan Zeng; Chaodong Fan; Leyi Xiao; Xilong Qu (J. Electronic Imaging, 2022)

Multi-objective LSTM ensemble model for household short-term load forecasting. - Chaodong Fan; Yunfan Li; Lingzhi Yi; Leyi Xiao; Xilong Qu; Zhaoyang Ai (Memetic Comput., 2022)

GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features. - Chaodong Fan; Zhenhuan Zeng; Leyi Xiao; Xilong Qu (Pattern Recognit., 2022)

Locally informed gravitational search algorithm with hierarchical topological structure. - Leyi Xiao; Chaodong Fan; Zhaoyang Ai; Jie Lin (Eng. Appl. Artif. Intell., 2023)

Efficient constrained large-scale multi-objective optimization based on reference vector-guided evolutionary algorithm. - Chaodong Fan; Jiawei Wang; Laurence T. Yang; Leyi Xiao; Zhaoyang Ai (Appl. Intell., 2023)

Enhanced medical image segmentation using U-Net with residual connections and dual attention mechanism. - Leyi Xiao; Jiaojiao Song; Xia Xie; Chaodong Fan (Eng. Appl. Artif. Intell., 2025)

Attention-enhanced separable residual with dilation net for medical image segmentation. - Leyi Xiao; Yinuo Liu; Chaodong Fan (Neurocomputing, 2025)

Short-Term Power Load Forecasting in City Based on ISSA-BiTCN-LSTM. - Chaodong Fan; Gongrong Li; Leyi Xiao; Lingzhi Yi; Shanghao Nie (Cogn. Comput., 2025)

Automatic brain MRI tumors segmentation based on deep fusion of weak edge and context features. - Leyi Xiao; Baoxian Zhou; Chaodong Fan (Artif. Intell. Rev., 2025)

A step gravitational search algorithm for function optimization and STTM's synchronous feature selection-parameter optimization. - Chaodong Fan; Laurence T. Yang; Leyi Xiao (Artif. Intell. Rev., 2025)