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  • 肖乐意
  1. 职  务:教师
  2. 学  院:必赢bwin网页版
  3. 学历职称:博士/副教授
  4. 导师类型:硕/博士生导师
  5. 联系方式:xiaolyttkx@hainanu.edu.cn
个人简介 科研项目 发表论文 获奖情况 专利著作

部分代表性论文

[1] Leyi Xiao, Baoxian ZhouChaodong Fan. Automatic brain MRI tumors segmentation based on deep fusion of weak edge and context features[J]. Artificial Intelligence Review (2025) 58:154

https://doi.org/10.1007/s10462-025-11151-8  (SCI,中科院一区)

[2] Leyi Xiao, Jiaojiao SongXia Xie, Chaodong Fan. Enhanced Medical Image Segmentation Using U-Net with Residual Connections and Dual Attention Mechanism[J]. Engineering Applications of Artificial Intelligence (2025) (SCI,中科院一区)

[3] Chaodong Fan, Shanghao Nie, Leyi Xiao*, et al. Short-term industrial load forecasting based on error correction and hybrid ensemble learning [J]. Energy & Buildings, 2024(313): 11426. (SCI,中科院二区)

[4] Leyi Xiao, Chaodong Fan, Zhaoyang Ai, et al. Locally informed gravitational search algorithm with hierarchical topological structure, Engineering Applications of Artificial Intelligence, 2023,123(106236):1-18 (SCI,中科院一区)

[5] Chaodong Fan, Jiawei Wang, Laurence T. Yang, Leyi Xiao*, et al. Efficient constrained large-scale multi-objective optimization based on reference vector-guided evolutionary algorithm. Applied Intelligence, 2023.5. (SCI, 中科院二区)

[6] 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 Recognition2022, https://doi.org/10.1016/j.patcog.2022.108963 (SCI, 中科院一区)

[7] 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. (SCI, 中科院二区)

[8] 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. (SCI, 中科院二区)

[9] 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.(SCI, 中科院二区)

[10] Chaodong Fan, Bo Hou, Jinhua Zheng, Leyi Xiao*, et al. A surrogate-assisted particle swarm optimization using ensemble learning for expensive problems with small sample datasets [J]. Applied Soft Computing, 2020, Vol. 91:106242 (SCI, 中科院二区)


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