李玲玲
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李玲玲博士长期从事海量、高维、非结构化信息处理中的优化与学习问题的研究，围绕高分辨遥感影像解译的重大需求，在国家“863”计划、“973”计划、国家自然科学基金重点及面上等项目的联合资助下，对量子优化、稀疏表征、多尺度几何分析等方向进行了深入的研究，并取得了相关基础理论的创新与关键技术的突破。以目标检测与跟踪为主线，提出了面向遥感影像的复数多尺度几何分析算法，多模态遥感可解释性模型等，相关成果在TNNLS、TCYB、TGRS、TAI等领域内国际主流期刊及CVPR、AAAI、ACM MM、ACL/IJCNLP 等顶级会议发表论文100 余篇（其中 5 篇为高被引论文），其论文被引用总次数 4900 余次，H-index 为 33，合作完成 7 本教材专著，授权专利 20 余项。主持和参与国家自然科学基金青年项目、国防重点实验室项目、陕西省教育厅新型智库项目、陕西省基金青年项目、课程资源建设项目等多项，与电子五所、国电科 36 所，商汤科技，华为，珠海必有科技等公司开展产学研项目合作，并指导学生在CVPR、ICCV、ECCV、IGRASS等多项国内外大赛中获得冠军。
旧版个人主页Google SchoolarDBLPResearchGate
2017.12获西安电子科技大学工学博士学位
22013.10-2014.10 西班牙巴斯克城市大学，访问学者
62020.7-至今 西安电子科技大学 人工智能学院 副教授
2017.12-2020.7 西安电子科技大学 人工智能学院 讲师
硕士研究生招生专业：
4.081200 计算机科学与技术
085400 电子信息（专业学位）（方向1：电子与通信工程+方向2：计算机技术与软件工程+方向3：大数据与人工智能）
（目前还有2025年入学的研究生保研名额！）
学术任职
IEEE Senior Member
中国图象图形学学会遥感图像专业委员会委员
中国人工智能学会青年工作委员会委员
陕西省信号处理学会理事
审稿人
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Cybernetics
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Geoscience and Remote Sensing Letters
Information Science
Pattern Recognition
Knowledge-Based Systems
Applied Soft Computing
Remote Sensing
学术专著
1. 焦李成，赵嘉璇，刘旭，李玲玲，陈璞花，黄钟健. 智能机器人导论，西安电子科技大学出版社，2024.
2. 尚荣华,焦李成, 张玮桐，刘芳,张小华,李玲玲. 计算智能导论（高等学校智能科学与技术专业系列教材）. 西安电子科技大学出版社, 2024.
3. 焦李成，刘梦琨，杨淑媛，刘芳，李玲玲，陈璞花，赵进，刘旭，马文萍，深度学习简明教程，西安电子科技大学，2023.
4. 焦李成,王佳宁,毛莎莎,李玲玲,陈璞花,古晶,刘芳.现代机器学习.西安电子科技大学出版社,2022.
5. 焦李成, 刘芳,李玲玲, 杨淑媛, 侯彪, 杨争艳, 杨慧,孟繁荣. 遥感影像深度学习智能解译与识别. 西安电子科技大学出版社, 2019.
6. 李阳阳, 焦李成, 张丹,李玲玲, 刘天宇. 量子计算智能. 西安电子科技大学出版社, 2019.
7. 尚荣华,焦李成,刘芳,张小华,李玲玲. 计算智能导论. 西安电子科技大学出版社, 2019.
国际期刊
2024
1. Yi Zuo,Lingling Li, Xu Liu, Zihan Gao, Licheng Jiao, Fang Liu, Shuyuan Yang:Robust Instance-Based Semi-Supervised Learning Change Detection for Remote Sensing Images.IEEE Trans. Geosci. Remote. Sens.62: 1-15 (2024)
2.Xin Zhang,Licheng Jiao,Lingling Li,Xu Liu,Fang Liu,Shuyuan Yang:Effective and Robust: A Discriminative Temporal Learning Transformer for Satellite Videos.IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024)
3.Jie Chen,Licheng Jiao,Xu Liu,Lingling Li,Fang Liu,Puhua Chen,Shuyuan Yang,Biao Hou:Hierarchical Dynamic Graph Clustering Network.IEEE Trans. Knowl. Data Eng. 36(9): 4722-4735 (2024)
4.Jie Gao,Licheng Jiao,Xu Liu,Lingling Li,Puhua Chen,Fang Liu,Shuyuan Yang:Multiscale Dynamic Curvelet Scattering Network.IEEE Trans. Neural Networks Learn. Syst. 35(6): 7999-8012 (2024)
5. Ruohan Zhang, Licheng Jiao,Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang:Evolutionary Dual-Stream Transformer.IEEE Trans. Cybern.54(4): 2166-2178 (2024)
6.Ruohan Zhang,Licheng Jiao,Lingling Li,Xu Liu,Fang Liu,Shuyuan Yang:A Quantum Evolutionary Learning Tracker for Video.IEEE Trans. Evol. Comput. 28(2): 418-431 (2024)
7. Chao Wang, Licheng Jiao, Jiaxuan Zhao,Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang: Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search.IEEE Trans. Evol. Comput.28(1): 208-222 (2024)
8. Mengkun Liu, Licheng Jiao, Xu Liu,Lingling Li, Fang Liu, Shuyuan Yang, Xiangrong Zhang: Bio-Inspired Multi-Scale Contourlet Attention Networks.IEEE Trans. Multim.26: 2824-2837 (2024)
9. Mengkun Liu, Licheng Jiao, Xu Liu,Lingling Li, Fang Liu, Shuyuan Yang, Shuang Wang, Biao Hou: Multi-Scale Contourlet Knowledge Guide Learning Segmentation.IEEE Trans. Multim.26: 4831-4845 (2024)
10. Fang Liu, Xiaoxue Qian, Licheng Jiao, Xiangrong Zhang,Lingling Li,Yuanhao Cui: Contrastive Learning-Based Dual Dynamic GCN for SAR Image Scene Classification.IEEE Trans. Neural Networks Learn. Syst.35(1): 390-404 (2024)
11.Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen,Lingling Li: Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method.IEEE Trans. Neural Networks Learn. Syst.35(2): 1857-1871 (2024)
12.Mengru Ma,Wenping Ma,Licheng Jiao,Xu Liu,Fang Liu,Lingling Li,Shuyuan Yang:MBSI-Net: Multimodal Balanced Self-Learning Interaction Network for Image Classification.IEEE Trans. Circuits Syst. Video Technol. 34(5): 3819-3833 (2024)
13. Yuting Yang, Licheng Jiao,Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Shuyuan Yang: LGLFormer: Local-Global Lifting Transformer for Remote Sensing Scene Parsing.IEEE Trans. Geosci. Remote. Sens.62: 1-13 (2024)
14. Xu Liu, Yu Liu, Licheng Jiao,Lingling Li, Fang Liu, Shuyuan Yang, Biao Hou: MutSimNet: Mutually Reinforcing Similarity Learning for RS Image Change Detection.IEEE Trans. Geosci. Remote. Sens.62: 1-13 (2024)
15.Long Sun,Chao Li,Licheng Jiao,Lingling Li,Xu Liu,Fang Liu,Shuyuan Yang,Biao Hou:Lighter and Robust: A Rotation-Invariant Transformer for VHR Image Change Detection.IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)
16. Xiaoyan Yang, Licheng Jiao, Yangyang Li, Xu Liu, Fang Liu,Lingling Li, Puhua Chen, Shuyuan Yang:Relation Learning Reasoning Meets Tiny Object Tracking in Satellite Videos.IEEE Trans. Geosci. Remote. Sens.62: 1-16 (2024)
17.Jiahao Wang,Fang Liu,Licheng Jiao,Hao Wang,Shuo Li,Lingling Li,Puhua Chen,Xu Liu:Multi-modal visual tracking based on textual generation.Inf. Fusion 112: 102531 (2024)
18.Mengkun Liu,Licheng Jiao,Xu Liu,Lingling Li,Fang Liu,Shuyuan Yang,Yuwei Guo,Puhua Chen: C2N2: Complex-Valued Contourlet Neural Network.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4478-4491 (2024)
19.Puhua Chen,Yu Qiu,Lei Guo,Xiangrong Zhang,Fang Liu,Licheng Jiao,Lingling Li:Cross-Scene Classification of Remote Sensing Images Based on General-Specific Prototype Contrastive Learning.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 7986-8002 (2024)
20.Guozhang Liu,Baochai Peng,Ting Liu,Pan Zhang,Mengke Yuan,Chaoran Lu,Ningning Cao,Sen Zhang,Simin Huang,Tao Wang,Xiaoqiang Lu,Licheng Jiao,Qiong Liu,Lingling Li,Fang Liu,Xu Liu,Yuting Yang,Kaiqiang Chen,Zhiyuan Yan,Deke Tang,Hai Huang,Michael Schmitt,Xian Sun,Gemine Vivone,Claudio Persello,Ronny Hänsch:Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11194-11207 (2024)
2023
21.Long Sun,Lingling Li,Yilin Shao,Licheng Jiao,Xu Liu,Puhua Chen,Fang Liu,Shuyuan Yang,Biao Hou:Which Target to Focus on: Class-Perception for Semantic Segmentation of Remote Sensing.IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023)
22. Xue Song,Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Shuyuan Yang: A Spatial-Spectral Bilinear Representation Fusion Network for Multimodal Classification.IEEE Trans. Geosci. Remote. Sens.61: 1-17 (2023)
23.Chao Wang,Jiaxuan Zhao,Lingling Li,Licheng Jiao,Jing Liu,Kai Wu:A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks.IEEE Comput. Intell. Mag. 18(1): 52-67 (2023)
24.Zixiao Zhang,Licheng Jiao,Lingling Li,Xu Liu,Puhua Chen,Fang Liu,Yuxuan Li,Zhicheng Guo:A Spatial Hierarchical Reasoning Network for Remote Sensing Visual Question Answering.IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
25.Xueli Geng,Licheng Jiao,Lingling Li,Fang Liu,Xu Liu,Shuyuan Yang,Xiangrong Zhang: Multisource Joint Representation Learning Fusion Classification for Remote Sensing Images.IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023)
26.Xiaoqiang Lu,Licheng Jiao,Lingling Li,Fang Liu,Xu Liu,Shuyuan Yang,Zhixi Feng,Puhua Chen:Weak-to-Strong Consistency Learning for Semisupervised Image Segmentation.IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
27.Haoran Wang,Licheng Jiao,Fang Liu,Lingling Li,Xu Liu,Deyi Ji,Weihao Gan:Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark.IEEE Trans. Neural Networks Learn. Syst. 34(6): 2951-2964 (2023)
28.Jun Zhang,Licheng Jiao,Wenping Ma,Fang Liu,Xu Liu,Lingling Li,Hao Zhu: RDLNet: A Regularized Descriptor Learning Network.IEEE Trans. Neural Networks Learn. Syst. 34(9): 5669-5681 (2023)
29.Jun Zhang, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu,Lingling Li, Hao Zhu: RDLNet: A Regularized Descriptor Learning Network.IEEE Trans. Neural Networks Learn. Syst.34(9): 5669-5681 (2023)
30. Xiufang Li, Qigong Sun, Licheng Jiao, Fang Liu, Xu Liu,Lingling Li, Puhua Chen, Yi Zuo: D3K: Dynastic Data-Free Knowledge Distillation.IEEE Trans. Multim.25: 8358-8371 (2023)
31. Jun Zhang, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu,Lingling Li, Puhua Chen, Shuyuan Yang: Transformer Based Conditional GAN for Multimodal Image Fusion.IEEE Trans. Multim.25: 8988-9001 (2023)
32.Mengru Ma,Wenping Ma,Licheng Jiao,Xu Liu,Lingling Li,Zhixi Feng,Fang Liu,Shuyuan Yang:A multimodal hyper-fusion transformer for remote sensing image classification.Inf. Fusion 96: 66-79 (2023)
33.Pengfang Li,Fang Liu,Licheng Jiao,Shuo Li,Lingling Li,Xu Liu,Xinyan Huang:Knowledge transduction for cross-domain few-shot learning.Pattern Recognit. 141: 109652 (2023)
34.Chao You,Licheng Jiao,Xu Liu,Lingling Li,Fang Liu,Wenping Ma,Shuyuan Yang: Boundary-Aware Multiscale Learning Perception for Remote Sensing Image Segmentation.IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
35.Yuting Yang,Licheng Jiao,Fang Liu,Xu Liu,Lingling Li,Puhua Chen,Shuyuan Yang:An Explainable Spatial-Frequency Multiscale Transformer for Remote Sensing Scene Classification.IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
36.Licheng Jiao,Jie Chen,Fang Liu,Shuyuan Yang,Chao You,Xu Liu,Lingling Li,Biao Hou:Graph Representation Learning Meets Computer Vision: A Survey.IEEE Trans. Artif. Intell. 4(1): 2-22 (2023)
37.Yuting Yang,Licheng Jiao,Xu Liu,Fang Liu,Shuyuan Yang,Lingling Li,Puhua Chen:Dual Wavelet Attention Networks for Image Classification.IEEE Trans. Circuits Syst. Video Technol. 33(4): 1899-1910 (2023)
38.Yake Zhang,Fang Liu,Licheng Jiao,Shuyuan Yang,Lingling Li,Meijuan Yang,Jianlong Wang,Xu Liu:Curvelet Adversarial Augmented Neural Network for SAR Image Classification.IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023)
39.Yinan Wu, Licheng Jiao, Fang Liu, Zhaoliang Pi, Xu Liu,Lingling Li, Shuyuan Yang: CSLT: Contourlet-Based Siamese Learning Tracker for Dim and Small Targets in Satellite Videos.IEEE Trans. Geosci. Remote. Sens.61: 1-13 (2023)
40. Jiaxuan Zhao, Licheng Jiao, Chao Wang, Xu Liu, Fang Liu,Lingling Li, Shuyuan Yang: GeoFormer: A Geometric Representation Transformer for Change Detection.IEEE Trans. Geosci. Remote. Sens.61: 1-17 (2023)
41.Jiahao Wang,Fang Liu,Hao Wang,Xu Liu,Licheng Jiao,Hua Yang,Lingling Li,Puhua Chen:SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image.IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023)
42.Licheng Jiao,Zhongjian Huang,Xu Liu,Yuting Yang,Mengru Ma,Jiaxuan Zhao,Chao You,Biao Hou,Shuyuan Yang,Fang Liu,Wenping Ma,Lingling Li:Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2992-3033 (2023)
43.Licheng Jiao,Xin Zhang,Xu Liu,Fang Liu,Shuyuan Yang,Wenping Ma,Lingling Li:Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1-45 (2023)
44.Licheng Jiao, Zhongjian Huang, Xiaoqiang Lu, Xu Liu, Yuting Yang, Jiaxuan Zhao, Jinyue Zhang, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma,Lingling Li, Xiangrong Zhang .et al: Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.16: 10084-10120 (2023)
45.Jiahao Wang,Fang Liu,Licheng Jiao,Hao Wang,Hua Yang,Xu Liu,Lingling Li,Puhua Chen:SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4000-4012 (2023)
46. Xinyan Huang, Fang Liu, Yuanhao Cui, Puhua Chen,Lingling Li,Pengfang Li: Faster and Better: A Lightweight Transformer Network for Remote Sensing Scene Classification.Remote. Sens.15(14): 3645 (2023)
47.Pengfang Li,Fang Liu,Licheng Jiao,Lingling Li,Puhua Chen,Shuo Li: Task context transformer and GCN for few-shot learning of cross-domain.Neurocomputing 548: 126433 (2023)
2022
48.Lingling Li,Xiaohui Guo,Yan Wang,Jingjing Ma,Licheng Jiao,Fang Liu,Xu Liu:Region NMS-based deep network for gigapixel level pedestrian detection with two-step cropping.Neurocomputing 468: 482-491 (2022)
49.Xu Liu,Lingling Li,Fang Liu,Biao Hou,Shuyuan Yang,Licheng Jiao:GAFnet: Group Attention Fusion Network for PAN and MS Image High-Resolution Classification.IEEE Trans. Cybern. 52(10): 10556-10569 (2022)(ESI高被引论文)
50.Xu Liu,Licheng Jiao,Lingling Li,Lin Cheng,Fang Liu,Shuyuan Yang,Biao Hou:Deep Multiview Union Learning Network for Multisource Image Classification.IEEE Trans. Cybern. 52(6): 4534-4546 (2022)(ESI高被引论文)
51.Haoran Wang,Licheng Jiao,Shuyuan Yang,Lingling Li,Zexin Wang:Simple and Effective: Spatial Rescaling for Person Reidentification.IEEE Trans. Neural Networks Learn. Syst. 33(1): 145-156 (2022)
52.Bingqi Yu,Licheng Jiao,Xu Liu,Lingling Li,Fang Liu,Shuyuan Yang,Xu Tang:Entire Deformable ConvNets for semantic segmentation.Knowl. Based Syst. 250: 108871 (2022)
53.Jie Chen,Licheng Jiao,Xu Liu,Lingling Li,Fang Liu,Shuyuan Yang:Automatic Graph Learning Convolutional Networks for Hyperspectral Image Classification.IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
54.Aijin Li,Licheng Jiao,Hao Zhu,Lingling Li,Fang Liu:Multitask Semantic Boundary Awareness Network for Remote Sensing Image Segmentation.IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)(ESI高被引论文)
55.Shuo Li,Fang Liu,Licheng Jiao,Puhua Chen,Xu Liu,Lingling Li:MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors.IEEE Trans. Image Process. 31: 7306-7321 (2022)
56.Licheng Jiao,Ruohan Zhang,Fang Liu,Shuyuan Yang,Biao Hou,Lingling Li,Xu Tang:New Generation Deep Learning for Video Object Detection: A Survey.IEEE Trans. Neural Networks Learn. Syst. 33(8): 3195-3215 (2022)
57.Wenhua Zhang,Licheng Jiao,Fang Liu,Lingling Li,Xu Liu,Jia Liu:MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos.IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
58.Zhaoliang Pi,Licheng Jiao,Fang Liu,Xu Liu,Lingling Li,Biao Hou,Shuyuan Yang:Very Low-Resolution Moving Vehicle Detection in Satellite Videos.IEEE Trans.Geosci. Remote. Sens. 60: 1-17 (2022)
59.Wei Song,Licheng Jiao,Fang Liu,Xu Liu,Lingling Li,Shuyuan Yang,Biao Hou,Wenhua Zhang:A Joint Siamese Attention-Aware Network for Vehicle Object Tracking in Satellite Videos.IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022)
60.Huihui Dong,Wenping Ma,Licheng Jiao,Fang Liu,Lingling Li:A Multiscale Self-Attention Deep Clustering for Change Detection in SAR Images.IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
61.Yuanhao Cui,Fang Liu,Licheng Jiao,Yuwei Guo,Xuefeng Liang,Lingling Li,Shuyuan Yang,Xiaoxue Qian:Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification.IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022)
62.Huihui Dong,Licheng Jiao,Wenping Ma,Fang Liu,Xu Liu,Lingling Li,Shuyuan Yang:Deep Shearlet Network for Change Detection in SAR Images.IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
63.Xiaoqiang Lu,Licheng Jiao,Fang Liu,Shuyuan Yang,Xu Liu,Zhixi Feng,Lingling Li,Puhua Chen:Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation.IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
64.Mengru Ma,WenpingMa,Licheng Jiao,Xu Liu,Fang Liu,Lingling Li,Shuyuan Yang,Biao Hou:Transfer Representation Learning Meets Multimodal Fusion Classification for Remote Sensing Images.IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
65.Xiaoxue Qian,Fang Liu,Licheng Jiao,Xiangrong Zhang,Puhua Chen,Lingling Li,Jing Gu,Yuanhao Cui:A Hybrid Network With Structural Constraints for SAR Image Scene Classification.IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022)
66.刘旭,李玲玲,刘芳, 杨淑媛, 侯彪, 焦李成, 基于散射图卷积网络的PolSAR影像地物分类.中国科学:信息科学, 2022, 52(10): 1900-1914.
67.李鹏芳,刘芳,李玲玲,等.嵌入标签语义的元特征再学习和重加权小样本目标检测[J].计算机学报,2022,45(12):2561-2575. DOI:10.11897/SP.J.1016.2022.02561.
2021
68.Xu Liu,Licheng Jiao,Lingling Li,Xu Tang,Yuwei Guo:Deep multi-level fusion network for multi-source image pixel-wise classification.Knowl. Based Syst. 221: 106921 (2021)
69.Haoran Wang,Licheng Jiao,Fang Liu,Lingling Li,Xu Liu,Deyi Ji,Weihao Gan:IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection.IEEE Trans. Image Process. 30: 6583-6593 (2021)
70.Mengkun Liu,Licheng Jiao,Xu Liu,Lingling Li,Fang Liu,Shuyuan Yang:C-CNN: Contourlet Convolutional Neural Networks.IEEE Trans. Neural Networks Learn. Syst. 32(6): 2636-2649 (2021)
71.YanqiaoChen,Lingling Li,Licheng Jiao,Yangyang Li,Xu Liu,Xinghua Chai:Nonlinear Projective Dictionary Pair Learning for PolSAR Image Classification.IEEE Access 9: 70650-70661 (2021)
2020
72.Lingling Li,Liyuan Ma,Licheng Jiao,Fang Liu,Qigong Sun,Jin Zhao:Complex Contourlet-CNN for polarimetric SAR image classification.Pattern Recognit. 100: 107110 (2020)
73.Lingling Li,Jie Zeng,Licheng Jiao,Pujiang Liang,Fang Liu,Shuyuan Yang:
Online Active Extreme Learning Machine With Discrepancy Sampling for PolSAR Classification.IEEE Trans. Geosci. Remote. Sens. 58(3): 2027-2041 (2020)
74.Lingling Li,Pujiang Liang,Jingjing Ma,Licheng Jiao,Xiaohui Guo,Fang Liu,Chen Sun:A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification.Remote. Sens. 12(14): 2209 (2020)
75.Hao Zhu,Wenping Ma,Lingling Li,Licheng Jiao,Shuyuan Yang,Biao Hou:
A Dual-Branch Attention fusion deep network for multiresolution remote-Sensing image classification.Inf. Fusion 58: 116-131 (2020)
76.Yake Zhang,Fang Liu,Licheng Jiao,Shuyuan Yang,Lingling Li,Meijuan Yang:
Discriminative Sketch Topic Model With Structural Constraint for SAR Image Classification.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5730-574 (2020)
77.Xiufang Li,QigongSun,LinglingLi,Xu Liu,Hongying Liu,Licheng Jiao,Fang Liu:SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification.IEEE Access8: 146560-146576 (2020)
2019
78.Lingling Li,Sibo Zhang,Licheng Jiao,Fang Liu,Shuyuan Yang,Xu Tang:Semi-Coupled Convolutional Sparse Learning for Image Super-Resolution.Remote. Sens. 11(21): 2593 (2019)
79.Ganchao Liu,Lingling Li,Licheng Jiao,Yongsheng Dong,Xuelong Li:Stacked Fisher autoencoder for SAR change detection.Pattern Recognit. 96(2019)
80.Ge Li,Lingling Li,Hao Zhu,Xu Liu,Licheng Jiao:Adaptive Multiscale Deep Fusion Residual Network for Remote Sensing Image Classification.IEEE Trans. Geosci. Remote. Sens. 57(11): 8506-8521 (2019)
81.Zhe Meng,Lingling Li,Licheng Jiao,Zhixi Feng,Xu Tang,Miaomiao Liang:Fully Dense Multiscale Fusion Network for Hyperspectral Image Classification.Remote. Sens. 11(22): 2718 (2019)
82.Zhe Meng,Lingling Li,Xu Tang,Zhixi Feng,Licheng Jiao,Miaomiao Liang:Multipath Residual Network for Spectral-Spatial Hyperspectral Image Classification.Remote. Sens. 11(16): 1896 (2019)
83.Bingrui Geng,Licheng Jiao,Maoguo Gong,Lingling Li,Yue Wu:A two-step personalized location recommendation based on multi-objective immune algorithm.Inf. Sci. 475: 161-181 (2019)
84.Yanqiao Chen,Licheng Jiao,Yangyang Li,Lingling Li,Dan Zhang,Bo Ren,Naresh Marturi:A Novel Semicoupled Projective Dictionary Pair Learning Method for PolSAR Image Classification.IEEE Trans. Geosci. Remote. Sens. 57(4): 2407-2418 (2019)
85.Lingling Li,Zhengyan Yang,Licheng Jiao,Fang Liu,Xu Liu:High-Resolution SAR Change Detection Based on ROI and SPP Net.IEEE Access 7: 177009-177022 (2019)
86.Licheng Jiao,Fan Zhang,Fang Liu,Shuyuan Yang,Lingling Li,Zhixi Feng,Rong Qu:A Survey of Deep Learning-Based Object Detection.IEEE Access 7: 128837-128868 (2019)(ESI高被引论文)
2018
87.Licheng Jiao,Sibo Zhang,Lingling Li,Fang Liu,Wenping Ma:A modified convolutional neural network for face sketch synthesis.Pattern Recognit. 76: 125-136 (2018)
88.Fang Liu,Jie Wu,Lingling Li,Licheng Jiao,Hongxia Hao,Xiangrong Zhang:
A Hybrid Method of SAR Speckle Reduction Based on Geometric-Structural Block and Adaptive Neighborhood.IEEE Trans. Geosci. Remote. Sens. 56(2): 730-748 (2018)
2017
89.Lingling Li,Licheng Jiao,Jiaqi Zhao,Ronghua Shang,Maoguo Gong:Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering.Pattern Recognit. 63: 1-14 (2017)
90.Licheng Jiao,Sibo Zhang,Lingling Li,Shuyuan Yang,Fang Liu,Hongxia Hao,Hang Dong: A Novel Image Representation Framework Based on Gaussian Model and Evolutionary Optimization.IEEE Trans. Evol. Comput. 21(2): 265-280 (2017)
2016
91.Xiaoliang Ma,Fang Liu,Yutao Qi,Xiaodong Wang,Lingling Li,Licheng Jiao,Minglei Yin,Maoguo Gong: A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables.IEEE Trans. Evol. Comput. 20(2): 275-298 (2016) (ESI高被引论文)
92.Fang Liu,Yiping Duan,Lingling Li,Licheng Jiao,Jie Wu,Shuyuan Yang,Xiangrong Zhang,Jialing Yuan: SAR Image Segmentation Based on Hierarchical Visual Semantic and Adaptive Neighborhood Multinomial Latent Model.IEEE Trans. Geosci. Remote. Sens. 54(7): 4287-4301 (2016)
93.Jie Wu,Fang Liu,Hongxia Hao,Lingling Li,Licheng Jiao,Xiangrong Zhang:A Nonlocal Means for Speckle Reduction of SAR Image With Multiscale-Fusion-Based Steerable Kernel Function.IEEE Geosci. Remote. Sens. Lett. 13(11): 1646-1650 (2016)
94.Xiaoliang Ma,Fang Liu,Yutao Qi,Lingling Li,Licheng Jiao,Xiaozheng Deng,Xiaodong Wang,Bei Dong,Zhanting Hou,Yongxiao Zhang,Jianshe Wu: MOEA/D with biased weight adjustment inspired by user preference and its application on multi-objective reservoir flood control problem.Soft Comput. 20(12): 4999-5023 (2016)
2015
95.Fang Liu,Leping Lin,Licheng Jiao,Lingling Li,Shuyuan Yang,Biao Hou,Hongmei Ma,Li Yang,Jinghuan Xu: Nonconvex Compressed Sensing by Nature-Inspired Optimization Algorithms.IEEE Trans. Cybern. 45(5): 1028-1039 (2015)
96.Cheng Shi,Fang Liu,Lingling Li,Licheng Jiao,Yiping Duan,Shuang Wang: Learning Interpolation via Regional Map for Pan-Sharpening.IEEE Trans. Geosci. Remote. Sens. 53(6): 3417-3431 (2015)
97.Zhiguo Zhou,Fang Liu,Lingling Li,Licheng Jiao,Zhi-Jie Zhou,Jian-Bo Yang,Zhi-Long Wang:A cooperative belief rule based decision support system for lymph node metastasis diagnosis in gastric cancer.Knowl. Based Syst. 85: 62-70 (2015)
2014
98.Xiaoliang Ma,Yutao Qi,Lingling Li,Fang Liu,Licheng Jiao,Jianshe Wu: MOEA/D with uniform decomposition measurement for many-objective problems.Soft Comput. 18(12): 2541-2564 (2014)
99.Xiaoliang Ma,Fang Liu,Yutao Qi,Lingling Li,Licheng Jiao,Meiyun Liu,Jianshe Wu: MOEA/D with Baldwinian learning inspired by the regularity property of continuous multiobjective problem.Neurocomputing 145: 336-352 (2014)
100.Xiaoliang Ma,Fang Liu,Yutao Qi,Maoguo Gong,Minglei Yin,Lingling Li,Licheng Jiao,Jianshe Wu:MOEA/D with opposition-based learning for multiobjective optimization problem.Neurocomputing 146: 48-64 (2014)
2013
101.Zhiguo Zhou,Fang Liu,Licheng Jiao,Lingling Li,Xiao-Dong Wang,Shuiping Gou,Shuang Wang:Object information based interactive segmentation for fatty tissue extraction.Commput. Biol. Medicine 43(10): 1462-1470 (2013)
国际会议
1. Pei He, Licheng Jiao,Lingling Li, Xu Liu ,Fang Liu, Wenping Ma, Shuyuan Yang, Ronghua Shang, Domain Generalization-Aware Uncertainty Introspective Learning for 3D Point Clouds Segmentation,In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM),2024.
2. Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li,Lingling Li, Puhua Chen, ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenarioguided Optimization,Proceedings of the AAAI Conference on Artificial Intelligence,2024，38(6), 5390-5400.
3.Yanbiao Ma,Licheng Jiao,Fang Liu,Shuyuan Yang,Xu Liu,Lingling Li: Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 15824-15835.
4.Qianyue Bao,Fang Liu,Yang Liu,Licheng Jiao,Xu Liu,Lingling Li: Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos.In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), pp. 6103-6112, 2022.
5.Lingling Li,Yukai Sun,Fuhai Ma,Jingjing Ma,Licheng Jiao,Fang Liu: Deep Complex Convolutional Neural Networks for Remote Sensing Image Classification.IFIP TC12 ICIS 2022: 252-259
6.Zhicheng Guo,Jiaxuan Zhao,Licheng Jiao,Xu Liu,Lingling Li: Multi-Scale Progressive Attention Network for Video Question Answering.ACL/IJCNLP (2) 2021: 973-978
7.Lingling Li,Lin Cheng,Xiaohui Guo,Xu Liu,Licheng Jiao,Fang Liu: Deep Adaptive Proposal Network in Optical Remote Sensing Images Objective Detection.IGARSS- 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 2651-2654
8.Qigong Sun,Xiufang Li,LinglingLi,Xu Liu,Fang Liu,Licheng Jiao: Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification.IGARSS-2019IEEE International Geoscience and Remote Sensing Symposium: 3245-3248
9.Xiufang Li,Qigong Sun,Lingling Li,Zhongle Ren,Fang Liu,Licheng Jiao: Pixel Dag-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification.IGARSS-2019IEEE International Geoscience and Remote Sensing Symposium: 2718-2721
1.国家自然科学基金重点项目课题，数据-任务可通用的遥感视觉预训练大模型，主持.
2. 国家自然科学基金青年项目,多尺度深度Contourlet网络及其多目标学习优化算法, 主持.
3. 国防科技重点实验室基金研究项目,基于深度学习的芯片版图图像比对算法研究, 主持.
4. 中国电子科技集团公司第36研究所，电磁信号智能识别方法及容错机理研究，主持.
5. 商汤科技大健康项目，基于热成像的人体姿态识别算法研究，主持.
6. 陕西省自然科学基础研究计划青年项目，量子稀疏深度神经网络模型及其在极化SAR图像分类中的应用, 主持.
7. 陕西省教育厅科研计划项目，基于视觉注意机制的多尺度深度 Contourlet网络及其应用研究, 主持.
8. 珠海必优科技有限公司，基于简历文档写作的润色与生成技术研发，主持.
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1. 量子进化优化学习；
2. 深度学习与图像处理；
3. 多模态学习与可解释性。
