基本信息
姓名：刘婷
职称：讲师
电子信箱：liuting@nudt.edu.cn.
办公室：自动化与电子信息学院，老办公楼411
个人简介
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月入职湘潭大学自动化与电子信息学院。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。
主讲课程
《机器学习》
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
招生：研究生招生:控制科学与工程(学硕)、电子信息(专硕)
备注：建议对图像处理、模式识别、机器学习感兴趣的同学咨询
论文专著
[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.
科研项目
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
