个人简介

卢婷，女，博士，中共党员，湖北黄冈人。现为湖南大学电气与信息工程学院控制科学与工程学科副教授，硕导、博导。主要从事图像处理、模式识别、人工智能及其在遥感数据分析领域的应用研究。近年来主持国家自然科学基金项目1项、湖南省自然科学基金项目2项、中央高校基本科研业务费1项、并以主研身份参与国家及省部级科研课题多项；在计算机视觉及遥感信息领域国际权威学术期刊和会议上发表论文三十余篇，其中IEEE Transactions on Geoscience and Remote Sensing(JCR SCI 一区，IF=5.630)、Information Fusion((JCR SCI 一区，IF=17.564)、IEEE Transactions on Neural Networks and Learning Systems(JCR SCI 一区，IF=14.255)、IEEE Transactions on Cybernetics(JCR SCI 一区，IF=11.079)等论文二十余篇，ESI高被引论文2篇，获湖南省高等教育教学成果二等奖1项，湖南省自然科学一等奖1项。

主要学习工作经历

2017/10- 至今， 湖南大学，电气与信息工程学院，控制科学与工程系，助理教授，副教授

2013/9 - 2017/9， 湖南大学，控制科学与工程系，博士

2014/9–2015/8, University of Trento，Remote Sensing Laboratory，联合培养博士，

联合培养导师，Lorenzo Bruzzone 教授, IEEE Fellow

2011/9 - 2013/8， 湖南大学，控制科学与工程系，硕士

2007/9 - 2011/6， 湖南大学，电气工程及其自动化，学士

代表性研究成果

lKexin Ding,Ting Lu, and Shutao Li,Uncertainty-Aware Contrastive Learning for Semi-Supervised Classification of Multimodal Remote Sensing Images,IEEE Transactions on Geoscience and Remote Sensing,2024.

lTing Lu,Yuxin Fang,Wei Fu, Kexin Ding, and Xudong Kang,Dual-Stream Class-Adaptive Network for Semi-Supervised Hyperspectral Image Classification,IEEE Transactions on Geoscience and Remote Sensing, 2024.

lTing Lu,Mengkai Liu,Wei Fu, and Xudong Kang,Grouped Multi-Attention Network for Hyperspectral Image Spectral-Spatial Classification,IEEE Transactions on Geoscience and Remote Sensing, 2023.

lTing Lu,Kexin Ding,Wei Fu,Shutao Li, and Anjing Guo,Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data,Information Fusion, 2023, 93:118-131.

lTing Lu,Yaochen Hu,Wei Fu,Kexin Ding, and Leyuan Fang,SCL-Net: An End-to-End Supervised Contrastive Learning Network for Hyperspectral Image Classification,IEEE Transactions on Geoscience and Remote Sensing, 2022.

lKexin Ding,Ting Lu*,Wei Fu,Shutao Li, and Fuyan Ma,Global-local Transformer Network for HSI and LiDAR Data Joint Classification,IEEE Transactions on Geoscience and Remote Sensing, 2022 (code)

lShuzhen Zhang,Ting Lu,Wei Fu, andShutao Li,Superpixel-Level Hybrid Discriminant Analysis for Hyperspectral Image Feature Extraction,IEEE Transactions on Geoscience and Remote Sensing, 2022(code)

lXiaohui Wei,Ting Lu*, and Shutao Li, Intrinsic Graph Learning With Discrete Constrained Diffusion-Fusion,IEEE Transactions on Neural Networks and Learning Systems. 2021(code)

lShuzhen Zhang,Ting Lu*, Shutao Li, and Wei Fu, Superpixel-Based Brownian Descriptor for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 2022 (code)

lBeifang Bai, Wei Fu,Ting Lu*, and Shutao Li, Edge-Guided Recurrent Convolutional Neural Network for Multitemporal Remote Sensing Image Building Change Detection,IEEE Transactions on Geoscience and Remote Sensing. 2021 (code)

lYu Li,Ting Lu*, and Shutao Li, Subpixel-pixel-superpixel-based multiview active learning for hyperspectral images classification,IEEE Transactions on Geoscience and Remote Sensing, 2020. (code)

lCao Ran, Leyuan Fang,Ting Lu*，and Nanjun He, Self-attention-based deep feature fusion for remote sensing scene classification. IEEE Geoscience and Remote Sensing Letters, 2020.(ESI 高被引)

lWei Fu,Ting Lu, and Shutao Li, Context-aware compressed sensing of hyperspectral image,IEEE Transactions on Geoscience and Remote Sensing,2020, 58(1), 2020.

lXiaohui Wei, Lijun Cai, Bo Liao,Ting Lu*, Local-view-assisted discriminative band selection with hypergraph autolearning for hyperspectral image classification,IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(3), 2020. (code)

lRenwei Dian, Shutao Li, Leyuan Fang, andTing Lu, Jose M. Bioucas-Dias, Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion，IEEE Transactions on Cybernetics，2019.

lWeiwei Song, Shutao Li, Leyuan Fang, andTing Lu. Hyperspectral Image Classification with Deep Feature Fusion Network.IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(6):3173 - 3184. (ESI 高被引)

lTing Lu, Shutao Li, Leyuan Fang, Xiuping Jia, and Jon Atli Benediktsson. From subpixel to superpixel: a novel fusion framework for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(8); 4398 - 4411.

lTing Lu, Shutao Li, Leyuan Fang, Lorenzo Bruzzone, and Jon Atli Benediktsson. Set-to-set distance-based spectral-spatial classification of hyperspectral images.IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(12):7122-7134.

lTing Lu, Shutao Li, Leyuan Fang, Yi Ma and Jon Atli Benediktsson. Spectral-spatial adaptive sparse representation for hyperspectral image denoising.IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 373-385.

lShutao Li,Ting Lu, Leyuan Fang, Xiuping Jia, and Jon Atli Benediktsson. Probabilistic fusion of pixel-level and superpixel-level hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing,2016, 54(12):7416-7430.

主要科研项目

l国家自然科学基金面上项目， 2023.01-2026.12，54万，主持

lJKW项目，XXXXXX图像XX，2023.01-2024.12，90万元，主持

l国家自然科学基金青年科学基金项目， 2019.01-2021.12，26万，主持

l湖南省自然科学基金面上科学基金项目，2022.01-2024.12，5万，主持

l湖南省自然科学基金青年科学基金项目，2019.01-2021.12，5万，主持

l中央高校基本科研业务费，2017.10-2022.07，25万，主持。

l 国家自然科学基金创新群体项目，多模图像融合感知，2023.01-2027.12，1000万，主研

l国家自然科学基金重大项目子课题,多维高分辨图像解混、重构、融合与增强方法研究,2019.01-2023.12，323万，主研

l国家自然科学基金国际合作与交流重点项目，高分辨率高光谱遥感图像信息获取与处理,2016.01-2020.12，245万，主研

获奖情况

l2022湖南省自然科学一等奖,高分辨高光谱遥感图像高效识别理论方法

l2022第十三届湖南省高等教育教学成果奖二等奖

l2021 教育部-华为智能基座"栋梁之师"

l2019 湖南省优秀博士论文

主讲课程

本科生课程，计算机视觉导论

本科生课程，Python语言程序设计

硕士生课程，视觉感知与图像处理技术

本科创新训练项目

l基于无人机图像的建筑物外立面损伤智能检测与识别技术， 2024.05-2026.04，国家级

l面向违章建筑监测的智能遥感图像识别技术研究， 2022.05-2024.04，国家级

学术交流与团建活动

联系方式:Email:ting_lu@hnu.edu.cn

欢迎有志于图像处理、模式识别、人工智能领域研究的同学报考博士研究生、硕士研究生，加入我们课题组！

欢迎有志于提前进入课题组开展科研的本科生，加入我们课题组！

视觉感知与人工智能湖南省重点实验室 (hnuvpai.github.io)