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刘婷

发布者:曹五洲 / 发布时间:2025-11-07 / 点击量:

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刘婷,女,博士、讲师、硕士研究生导师;2024年12月于国防科技大学获得信息与通信工程专业博士学位;2025年1月入职啪啪啦 自动化与电子信息啪啪啦 。主持国自然科学基金1项,作为核心成员参与科技委创新特区重点项目、科技委基础加强计划重点项目和国家自然科学基金等项目,博士期间共发表论文16篇,其中以第一作者在中科院一区Top期刊发表论文6篇,2篇论文入选ESI全球高被引论文(含1篇第一作者)。研究成果发表于IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition, IEEE Transactions on Multimedia Systems, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Applied Soft Computing等权威期刊会议。申请国家发明专利3项。目前主要从事红外小目标检测、遥感卫星动目标检测、医学图像分割、机器学习、深度学习等方面的研究。欢迎对图像处理、模式识别、机器学习感兴趣的同学联系本人,联系邮箱:[email protected], [email protected].


研究生招生:控制科学与工程(学硕)、电子信息(专硕)


一、主讲课程:

机器学习


二、研究方向

红外小目标检测、遥感卫星动目标检测、医学图像分割、机器学习、深度学习


三、代表性论文成果

[1] Liu Ting, Yang J, Li B, et al. Nonconvex tensor low-rank approximation for infrared small target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60: 1-18. (ESI 前1%高被引论文)

[2] Liu Ting, Yin Q, Yang J, et al. Combining deep denoiser and low-rank priors for infrared small target detection[J]. Pattern Recognition, 2023, 135: 109184.

[3] Liu Ting, Yang J, Li B, et al. Infrared small target detection via nonconvex tensor tucker decomposition with factor prior[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023.

[4] Liu Ting, Yang J, Li B, et al. Representative Coefficient Total Variation for Efficient Infrared Small Target Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023.  

[5] Liu Ting, Tang H, Zhang D, et al. Feature-guided dictionary learning for patch-and-group sparse representations in single image deraining[J]. Applied Soft Computing, 2021, 113: 107958.

[6] Liu Ting, Liu Y, Yang J, et al. Graph Laplacian regularization for fast infrared small target detection[J]. Pattern Recognition, 2025, 158: 111077.

[7] 杨俊刚, 刘婷*, 刘永贤, 等. 基于因子先验的非凸张量塔克分解的红外小目标检测方法[J]. 红外与毫米波学报.(通讯作者)

[8] Xiao Chao, Liu Ting, Ying X, et al. Incorporating Deep Background Prior Into Model-Based Method for Unsupervised Moving Vehicle Detection in Satellite Videos[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-14.

[9] Yin Qian, Liu Ting, Lin Z, et al. Moving object detection in satellite videos via spatial–temporal tensor model and weighted Schatten p-norm minimization[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 1-5.

[10] Wang X, Zhang Y, Liu Ting, et al. Efficient Occupancy Prediction Guided Point Cloud Geometry Compression[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025.

[11] Wang X, Zhang Y, Liu Ting, et al. TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression[C]//Proceedings of the Computer Vision and Pattern Recognition Conference. 2025: 27305-27314.

[12] Liu Y, Li B, Liu Ting, et al. RRCANet: Recurrent Reusable-Convolution Attention Network for Infrared Small Target Detection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2506.02393, 2025.

[13] Wu, T, Li, B, Luo, Y, Wang, Y, Xiao, C, Liu, Ting, ... & Guo, Y. (2023). MTU-Net: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-15. (ESI前1%高被引)

[14] Li, B, Zhang, F, Wang, L, Wang, Y, Liu, Ting, Lin, Z, ... & Guo, Y. (2023). DDAug: Differentiable Data Augmentation for Weakly Supervised Semantic Segmentation. IEEE Transactions on Multimedia, (99), 1-12.

[15] Li, B, Wang, Y, Wang, L, Zhang, F, Liu, Ting, Lin, Z, ... & Guo, Y. (2023). Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection. [C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023: 1009-1019.

[16] Zhang H, Duan Y, Liu Ting. KMUNet: A Novel Medical Image Segmentation Model Based on KAN and Mamba[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2025: 298-307.


四、科研项目

1. 国家自然科学基金项目,62505266,低秩稀疏特征嵌入的深度展开方法及红外小目标检测研究,2026/01-2028/12,在研,主持


五、联系方式

通讯地址:自动化与电子信息啪啪啦 ,老办公楼411,邮编:411105



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