一、个人信息

性    别：女

最高学位：博士

职    称：副教授

所属学院：计算机科学与工程学院（人工智能学院）

导师类别：硕士研究生导师

联系方式：yananli@wit.edu.cn

二、教育背景

2008.09-2012.06 武汉大学，印刷工程（图像传播工程）、广告学，双学位学士

2012.09-2018 06 华中科技大学，控制科学与工程，硕士博士

三、教学经验

自2018年入职武汉工程大学计算科学与工程学院以来，曾担任《计算机视觉》、《图像处理与计算机视觉》、《图像分析与识别》等课程的教学工作。

四、研究方向

计算机视觉、人工智能、多模态融合、领域适应等

五、学术文章

[1] Task-Aware Dynamic Routing Network for Cross-Domain Few-Shot Learning, Neurocomputin

[2] prompt learning and multi-scale attention for infrared and visible image fusion, Infrared Physics and Technology

[3] Box-supervised dynamical instance segmentation for in-field cotton, Computers and Electronics in Agriculture

[4] Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion, Plant Phenomics

[5] In-field cotton counting and localization jointly based on density-guided optimal transport, Computers and Electronics in Agriculture

[6] Discriminable feature enhancement for unsupervised domain adaptation, Image and Vision Computing

[7] Cotton boll localization method based on point annotation and multi-scale fusion, Frontiers in Plant Science

[8] Common pests classification based on asymmetric convolution enhance depthwise separable neural network, Journal of Ambient Intelligence and Humanized Computing

[9] In-field cotton detection algorithm based on the dual-path feature extraction, Journal of Electronic Imaging

[10] Unsupervised domain adaptation for in-field cotton boll status identification, Computers and Electronics in Agriculture

[11] In-field cotton boll counting based on a deep neural network of density level classification, Journal of Electronic Imaging

[12] Performance evaluation of crop segmentation algorithms, IEEE ACCESS

[13] DeepCotton: In-field cotton segmentation using deep fully convolutional network, Journal of Electronic Imaging

[14] In-field cotton detection via region-based semantic image segmentation, Computers and Electronics in Agriculture

[15] FIPFuse: Visible and Infrared Image Fusion Based on Frequency Information Perception，7th International Conference on Mechatronics, Robotics and Automation

[16] Cotton seedling counting algorithm based on semantic guidance, International Conference on Robot Systems and Applications

[17] Field Grape Berry Counting Algorithm Based on Spatial Attention Mechanism, China Automation Congress

[18] 基于特征融合的棉花幼苗计数算法[J].农业工程学报

[19] 基于密度等级分类的田间棉铃计数算法[J].计算机辅助设计与图形学学报

[20] 基于上下文多尺度融合的棉铃计数算法[J].计算机应用研究