[1] Chaodong Fan , Zhenhuan Zeng ,Leyi Xiao ∗, et al.  GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features[J]. Pattern Recognition，2022, https://doi.org/10.1016/j.patcog.2022.108963

[2] Leyi Xiao, Chaodong Fan, Honglin Ouyang, et al. Adaptive trapezoid region intercept histogram based Otsu method for brain MR image segmentation[J]. Journal of Ambient Intelligence and Humanized Computing, 2022, 13:2161-2176

[3] Leyi Xiao, Honglin Ouyang, Chaodong Fan, et al. Gesture image segmentation with Otsu’s method based on noise adaptive angle threshold [J]. Multimedia Tools and Applications. 2020, Vol.79(47):35619-35640.

[4] Leyi Xiao, Han Qi, Chaodong Fan, Chaoyang Ai. Energy noise detection fcm for breast tumor image segmentation[J]. IEEE access, 2020, Vol. 8: 62895-62904.

[5] Leyi Xiao, Honglin Ouyang, Chaodong Fan. Otsu’s thresholding method based on plane intercept histogram and geometric analysis [J]. International Arab Journal of Information Technology, 2020, Vol. 17(5): 692-701 .

[6] Leyi Xiao, Honglin Ouyang, Chaodong Fan. An improved Otsu method for threshold segmentation based on set mapping and trapezoid region intercept histogram [J]. Optik,2019,Vol. 196(3): 1-17.

[7]肖乐意,欧阳红林,范朝冬.基于记忆分子动理论优化算法的多目标截面投影 Otsu 图像分割[J].电子与信息学报, 2018, Vol.40(1):189-199.

[8] Chaodong Fan, Yuetang Wu, Hongbo Hu,Leyi Xiao*, et al. A Two-Stage Cooperative Multi-objective Evolutionary Differential Algorithm for Combined Heat and Power Economic Emission Dispatch[J]. Arabian Journal for Science and Engineering (2023) 48:5889–5906.

[9] Chaodong Fan, Yunfan Li, Lingzhi Yi, Leyi Xiao*, et al. Multi-objective LSTM ensemble model for household short-term load forecasting[J]. Memetic Computing(2022)14:115-132.

[10] Chaodong Fan, Jiawei Wang, Leyi Xiao*, et al. A coevolution algorithm based on two-staged strategy for constrained multi-objective problems [J]. Applied Intelligence, 2022, https://doi.org/10.1007/s10489-022-03421-7.

[11] Chaodong Fan, Changkun Ding, Leyi Xiao*,et al. Deep belief ensemble network based on MOEA/D for short-term load forecasting.[J]. Nonlinear Dynamics, 2021, Vol. 105, 2045-2430.

[12] Chaodong Fan, Changkun Ding, Jinhua Zheng, Leyi Xiao*,et al. Empirical mode decomposition based multi-objective deep belief network for short-term power load forecasting [J]. Neurocomputing, 2020, Vol. 338(C): 110-123.

[13] Chaodong Fan, Bo Hou, Jinhua Zheng, Leyi Xiao*, Lingzhi Yi. A surrogate-assisted particle swarm optimization using ensemble learning for expensive problems with small sample datasets [J]. Applied Soft Computing, 2020, Vol. 91:106242.