研究生导师

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曹丽

信息来源: 发布日期:2026-09-07

个人基本情况

曹丽,1987年10月出生,博士研究生学历,籍贯:湖南益阳。于2020年9月入职武汉轻工大学电气与电子工程学院,担任讲师。2010年中南大学学士,2018年华中科技大学博士,2014-2015年作为公派联合培养博士生前往美国宾夕法尼亚大学医学院从事医学图像处理的研究。

主要研究方向

信号处理的快速算法及其硬件实现的理论研究、数字图像处理与人工智能算法的应用研究

开设课程

数字电路、数字信号处理、人工智能导论

指导研究生年度

2022-2026年

近年来的科研项目、专著与论文、专利、获奖

承担的主要科研项目:

1. 主持国家自然科学基金项目“基于一阶矩的快速算法及其高效硬件实现机理研究”(项目编号:62401417,项目经费:30万);

2. 主持完成湖北省教育厅科学研究计划指导性项目“基于一阶矩的快速变换及其高效硬件实现研究”(项目编号:B2021122);

3. 参与完成中国舰船研究设计中心的海洋防务技术创新中心创新基金项目“基于机器学习的低频声场局部调控技术”(项目编号:2020-701-01,经费:10万);


代表性著作、论文:

1. Yan Wang, Li Cao, and He Deng, “MFTriNet: A Multimodal Fusion Triple-Flow Network for Remote Sensing Image Semantic Segmentation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, 19: 12570-12586.

2. Li Cao, Zishang Liu, Yan Wang, and Run Gao, “DFENet: A Novel Dual-Path Feature Extraction Network for Semantic Segmentation of Remote Sensing Images,” Journal of Imaging, 2026, 12(3), 141.

3. 王胜涵, 曹丽, 邓鹤. Light-DMNet: 运用细节增强和多尺度信息融合的轻量化皮肤病变分割网络[J]. 长春理工大学学报(自然科学版), 2026, 49(2): 72-84.

4. Yan Wang, Li Cao, and He Deng, “WgANet: A Wavelet-Guided Attention Network for Remote Sensing Image Semantic Segmentation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, 19: 702-716.

5. Wei Li, Li Cao, and He Deng, “FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images,” Frontiers in Artificial Intelligence, 2025, 8, 1463233.

6. Yan Wang, Li Cao, and He Deng, “MFMamba: A Mamba-Based Multi-Modal Fusion Network for Semantic Segmentation of Remote Sensing Images,” Sensors, 2024, 24(22), 7266.

7. Jie Liu, Li Cao, and He Deng, “A Novel Composite Network Based on Parallel Dual Attention for Underwater Image Enhancement,” IEEE Access, 2024, 12: 146587-146597.

8. Hengda Lei, Li Cao, and Xiuhua Li, “Coarse-to-Fine Localization for Detecting Misalignment State of Angle Cocks,” Sensors, 2023, 23(17), 7311.

9. Zhihua Ban, Jianguo Liu, and Li Cao, “Superpixel segmentation using Gaussian mixture model,” IEEE transactions on image processing, 2018, 27(8): 4105-4117.

10. Li Cao, Jianguo Liu, Jun Xiong, and Jing Zhang, “Hardware-efficient implementation of digital FIR filter using fast first-order moment algorithm,” MIPPR 2017: Parallel Processing of Images and Optimization and Medical Imaging Processing, 10610, Oct. 2017.

11. Li Cao, Jayaram K. Udupa, Dewey Odhner, Lidong Huang, Yubing Tong, and Drew A. Torigian, “A general approach to liver lesion segmentation in CT images,” Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 978623, Mar. 2016.

12. Li Cao, Jianguo Liu, Jun Xiong, and Jing Zhang, “Novel structures for cyclic convolution using improved first-order moment algorithm,” IEEE transactions on circuits and systems—I: regular papers, 2014, 61(8): 2370-2379.

13. Li Cao, Jianguo Liu, Jun Xiong, and Chao Pan, “Hardware-efficient implementation of DFT using the first-order moments-based cyclic convolution structure,” Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 892005, Oct. 2013.

授权专利:

1. 基于一阶矩的卷积器, 发明专利, 专利号:ZL 201210553580.8, 2012。

获奖情况:

1. 2024年,本科毕业设计(论文)优秀指导教师一等奖


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