Lingling Li

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Female   西安电子科技大学   With Certificate of Graduation for Doctorate Study   Associate professor  

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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理解与解译的具体应用,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,对基于量子进化优化学习理论、深度学习稀疏表征、多尺度几何分析和复杂遥感影像解译与目标识别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。相关成果在TNNLS、TCYB、TGRS、TAI等领域内国际主流期刊及CVPR、ACM MM、ACL/IJCNLP 等顶级会议发表论文90余篇(其中5篇为高被引论文),其论文被引用总次数4000余次,H-index 为30,合作完成4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,及电子五所、中国电科36所,商汤科技,华为,珠海必有科技等公司关键技术项目,并指导学生在CVPR、ICCV、ECCV、IGRASS等多项国内外大赛中获得冠军。


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教育经历

217年 获西安电子科技大学工学博士学位    

2013-2014年 西班牙巴斯克城市大学,访问学者

工经历

2020.7-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

招生信息

硕士研究生招生专业:

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)

学术兼职

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

论文成果

学术专著

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.

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. 

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. Ruohan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang:Evolutionary Dual-Stream Transformer. IEEE Trans. Cybern. 54(4): 2166-2178 (2024)

3. 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)

4. 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)

5. 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)

6. 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)

7.  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)

8. 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)

9. 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)

10. 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)

11. Mengkun LiuLicheng JiaoXu LiuLingling LiFang LiuShuyuan YangYuwei GuoPuhua Chen: C2N2: Complex-Valued Contourlet Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4478-4491 (2024)

2023

12. Long SunLingling LiYilin ShaoLicheng JiaoXu LiuPuhua ChenFang LiuShuyuan YangBiao Hou: Which Target to Focus on: Class-Perception for Semantic Segmentation of Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023)

13. 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)

14. Chao WangJiaxuan ZhaoLingling Li, Licheng JiaoJing LiuKai Wu: A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks. IEEE Comput. Intell. Mag. 18(1): 52-67 (2023)

15. Zixiao ZhangLicheng JiaoLingling LiXu LiuPuhua ChenFang LiuYuxuan LiZhicheng Guo: A Spatial Hierarchical Reasoning Network for Remote Sensing Visual Question Answering. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)

16. Xueli GengLicheng JiaoLingling LiFang LiuXu LiuShuyuan YangXiangrong Zhang: Multisource Joint Representation Learning Fusion Classification for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023)

17. Xiaoqiang LuLicheng JiaoLingling LiFang LiuXu LiuShuyuan YangZhixi FengPuhua Chen: Weak-to-Strong Consistency Learning for Semisupervised Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)

18. Haoran WangLicheng JiaoFang LiuLingling LiXu LiuDeyi JiWeihao 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)

19. Jun ZhangLicheng JiaoWenping MaFang LiuXu LiuLingling LiHao Zhu:  RDLNet:  A Regularized Descriptor Learning Network. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5669-5681 (2023)

20.  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)

21. 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)

22. 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)

23. Mengru MaWenping MaLicheng JiaoXu LiuLingling LiZhixi FengFang LiuShuyuan Yang: A multimodal hyper-fusion transformer for remote sensing image classification. Inf. Fusion 96: 66-79 (2023)

24. Pengfang LiFang LiuLicheng JiaoShuo LiLingling LiXu LiuXinyan Huang: Knowledge transduction for cross-domain few-shot learning. Pattern Recognit. 141: 109652 (2023)

25. Chao YouLicheng JiaoXu LiuLingling LiFang LiuWenping MaShuyuan Yang: Boundary-Aware Multiscale Learning Perception for Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)

26. Yuting YangLicheng JiaoFang LiuXu LiuLingling LiPuhua ChenShuyuan Yang: An Explainable Spatial-Frequency Multiscale Transformer for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)

27. Licheng JiaoJie ChenFang LiuShuyuan YangChao YouXu LiuLingling LiBiao Hou: Graph Representation Learning Meets Computer Vision: A Survey. IEEE Trans. Artif. Intell. 4(1): 2-22 (2023)

28. Yuting YangLicheng JiaoXu LiuFang LiuShuyuan YangLingling LiPuhua Chen: Dual Wavelet Attention Networks for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1899-1910 (2023)

29. Yake ZhangFang LiuLicheng JiaoShuyuan YangLingling Li, Meijuan YangJianlong WangXu Liu: Curvelet Adversarial Augmented Neural Network for SAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023)

30.  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)

31. 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)

32. Jiahao WangFang LiuHao WangXu LiuLicheng JiaoHua YangLingling LiPuhua 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)

33. Licheng JiaoZhongjian HuangXu LiuYuting YangMengru MaJiaxuan ZhaoChao YouBiao HouShuyuan YangFang LiuWenping MaLingling Li: Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2992-3033 (2023)

34. Licheng JiaoXin ZhangXu LiuFang LiuShuyuan YangWenping MaLingling 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)

35.  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)

36. Jiahao WangFang LiuLicheng JiaoHao WangHua YangXu LiuLingling LiPuhua 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)

37. 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)

38. Pengfang LiFang LiuLicheng JiaoLingling LiPuhua ChenShuo Li: Task context transformer and GCN for few-shot learning of cross-domain. Neurocomputing 548: 126433 (2023)

2022

39.  Lingling LiXiaohui GuoYan WangJingjing MaLicheng JiaoFang LiuXu Liu: Region NMS-based deep network for gigapixel level pedestrian detection with two-step cropping.  Neurocomputing 468: 482-491 (2022)

40. Xu LiuLingling Li, Fang LiuBiao HouShuyuan YangLicheng 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)

41. Xu LiuLicheng JiaoLingling LiLin ChengFang LiuShuyuan YangBiao Hou: Deep Multiview Union Learning Network for Multisource Image Classification. IEEE Trans. Cybern. 52(6): 4534-4546 (2022) (ESI高被引论文)

42. Haoran WangLicheng JiaoShuyuan YangLingling LiZexin Wang: Simple and Effective: Spatial Rescaling for Person Reidentification. IEEE Trans. Neural Networks Learn. Syst. 33(1): 145-156 (2022)

43. Bingqi YuLicheng JiaoXu LiuLingling LiFang LiuShuyuan YangXu Tang: Entire Deformable ConvNets for semantic segmentation. Knowl. Based Syst. 250: 108871 (2022)

44. Jie ChenLicheng JiaoXu LiuLingling LiFang LiuShuyuan Yang: Automatic Graph Learning Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)

45. Aijin LiLicheng JiaoHao Zhu, Lingling LiFang 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)

46. Shuo LiFang LiuLicheng JiaoPuhua ChenXu LiuLingling Li: MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors. IEEE Trans. Image Process. 31: 7306-7321 (2022)

47. Licheng JiaoRuohan ZhangFang LiuShuyuan YangBiao HouLingling LiXu Tang: New Generation Deep Learning for Video Object Detection: A Survey. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3195-3215 (2022)

48. Wenhua ZhangLicheng JiaoFang LiuLingling LiXu LiuJia Liu: MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)

49. Zhaoliang PiLicheng JiaoFang LiuXu LiuLingling LiBiao HouShuyuan Yang:Very Low-Resolution Moving Vehicle Detection in Satellite Videos. IEEE Trans.Geosci. Remote. Sens. 60: 1-17 (2022)

50. Wei SongLicheng JiaoFang LiuXu LiuLingling LiShuyuan YangBiao HouWenhua Zhang:A Joint Siamese Attention-Aware Network for Vehicle Object Tracking in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022)

51. Huihui DongWenping MaLicheng JiaoFang LiuLingling Li: A Multiscale Self-Attention Deep Clustering for Change Detection in SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)

52. Yuanhao CuiFang LiuLicheng JiaoYuwei GuoXuefeng LiangLingling Li, Shuyuan YangXiaoxue Qian: Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022)

53. Huihui DongLicheng JiaoWenping MaFang LiuXu LiuLingling LiShuyuan Yang: Deep Shearlet Network for Change Detection in SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)

54. Xiaoqiang LuLicheng JiaoFang LiuShuyuan YangXu LiuZhixi FengLingling LiPuhua Chen: Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)

55. Mengru MaWenpingMaLicheng JiaoXu LiuFang LiuLingling LiShuyuan YangBiao Hou: Transfer Representation Learning Meets Multimodal Fusion Classification for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)

56. Xiaoxue QianFang LiuLicheng JiaoXiangrong ZhangPuhua ChenLingling LiJing GuYuanhao Cui: A Hybrid Network With Structural Constraints for SAR Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022)

57. 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.

58. 李鹏芳, 刘芳, 李玲玲, . 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

59. Xu LiuLicheng Jiao, Lingling LiXu TangYuwei Guo: Deep multi-level fusion network for multi-source image pixel-wise classification. Knowl. Based Syst. 221: 106921 (2021)

60. Haoran WangLicheng JiaoFang Liu, Lingling LiXu LiuDeyi JiWeihao Gan: IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection. IEEE Trans. Image Process. 30: 6583-6593 (2021)

61. Mengkun LiuLicheng JiaoXu LiuLingling LiFang LiuShuyuan Yang: C-CNN: Contourlet Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2636-2649 (2021)

62. YanqiaoChenLingling LiLicheng JiaoYangyang LiXu LiuXinghua Chai: Nonlinear Projective Dictionary Pair Learning for PolSAR Image Classification. IEEE Access 9: 70650-70661 (2021)

2020

63. Lingling LiLiyuan MaLicheng JiaoFang LiuQigong SunJin Zhao: Complex Contourlet-CNN for polarimetric SAR image classification. Pattern Recognit. 100: 107110 (2020)

64. Lingling LiJie ZengLicheng JiaoPujiang LiangFang LiuShuyuan Yang:
Online Active Extreme Learning Machine With Discrepancy Sampling for PolSAR Classification. 
IEEE Trans. Geosci. Remote. Sens. 58(3): 2027-2041 (2020)

65. Lingling LiPujiang LiangJingjing MaLicheng JiaoXiaohui GuoFang LiuChen Sun: A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification. Remote. Sens. 12(14): 2209 (2020)

66. Hao ZhuWenping MaLingling LiLicheng JiaoShuyuan YangBiao Hou:
A Dual-Branch Attention fusion deep network for multiresolution remote-Sensing image classification. 
Inf. Fusion 58: 116-131 (2020)

67. Yake ZhangFang LiuLicheng JiaoShuyuan YangLingling LiMeijuan 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)

68. Xiufang LiQigongSunLinglingLiXu LiuHongying LiuLicheng Jiao Fang Liu: SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification. IEEE Access  8: 146560-146576 (2020)

2019

69. Lingling LiSibo ZhangLicheng JiaoFang LiuShuyuan YangXu Tang: Semi-Coupled Convolutional Sparse Learning for Image Super-Resolution. Remote. Sens. 11(21): 2593 (2019)

70. Ganchao LiuLingling LiLicheng JiaoYongsheng DongXuelong Li: Stacked Fisher autoencoder for SAR change detection. Pattern Recognit. 96 (2019)

71. Ge LiLingling LiHao ZhuXu LiuLicheng Jiao: Adaptive Multiscale Deep Fusion Residual Network for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(11): 8506-8521 (2019)

72. Zhe MengLingling LiLicheng JiaoZhixi FengXu TangMiaomiao Liang: Fully Dense Multiscale Fusion Network for Hyperspectral Image Classification. Remote. Sens. 11(22): 2718 (2019)

73. Zhe MengLingling LiXu TangZhixi FengLicheng JiaoMiaomiao Liang: Multipath Residual Network for Spectral-Spatial Hyperspectral Image Classification. Remote. Sens. 11(16): 1896 (2019)

74. Bingrui GengLicheng JiaoMaoguo GongLingling LiYue Wu: A two-step personalized location recommendation based on multi-objective immune algorithm. Inf. Sci. 475: 161-181 (2019)

75. Yanqiao ChenLicheng JiaoYangyang LiLingling LiDan ZhangBo RenNaresh Marturi: A Novel Semicoupled Projective Dictionary Pair Learning Method for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(4): 2407-2418 (2019)

76. Lingling LiZhengyan YangLicheng JiaoFang LiuXu Liu: High-Resolution SAR Change Detection Based on ROI and SPP Net. IEEE Access 7: 177009-177022 (2019)

77. Licheng JiaoFan ZhangFang LiuShuyuan YangLingling LiZhixi FengRong Qu: A Survey of Deep Learning-Based Object Detection. IEEE Access 7: 128837-128868 (2019) (ESI高被引论文)

2018

78. Licheng JiaoSibo ZhangLingling LiFang LiuWenping Ma: A modified convolutional neural network for face sketch synthesis. Pattern Recognit. 76: 125-136 (2018)

79. Fang LiuJie WuLingling LiLicheng JiaoHongxia HaoXiangrong 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

80. Lingling LiLicheng JiaoJiaqi ZhaoRonghua ShangMaoguo Gong: Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering. Pattern Recognit. 63: 1-14 (2017) 

81. Licheng JiaoSibo ZhangLingling LiShuyuan YangFang LiuHongxia HaoHang Dong: A Novel Image Representation Framework Based on Gaussian Model and Evolutionary Optimization. IEEE Trans. Evol. Comput. 21(2): 265-280 (2017)

2016

82.  Xiaoliang MaFang LiuYutao QiXiaodong WangLingling LiLicheng JiaoMinglei YinMaoguo 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)

83. Fang LiuYiping DuanLingling LiLicheng JiaoJie WuShuyuan YangXiangrong ZhangJialing 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)

84. Jie WuFang LiuHongxia HaoLingling LiLicheng JiaoXiangrong 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)

85. Xiaoliang MaFang LiuYutao QiLingling LiLicheng JiaoXiaozheng DengXiaodong WangBei DongZhanting HouYongxiao ZhangJianshe 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

86. Fang LiuLeping LinLicheng Jiao,Lingling LiShuyuan YangBiao HouHongmei MaLi YangJinghuan Xu: Nonconvex Compressed Sensing by Nature-Inspired Optimization Algorithms. IEEE Trans. Cybern. 45(5): 1028-1039 (2015)

87. Cheng ShiFang LiuLingling LiLicheng JiaoYiping DuanShuang Wang: Learning Interpolation via Regional Map for Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 53(6): 3417-3431 (2015)

88. Zhiguo ZhouFang LiuLingling LiLicheng JiaoZhi-Jie ZhouJian-Bo YangZhi-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

89. Xiaoliang MaYutao QiLingling LiFang LiuLicheng JiaoJianshe Wu: MOEA/D with uniform decomposition measurement for many-objective problems. Soft Comput. 18(12): 2541-2564 (2014)

90. Xiaoliang MaFang LiuYutao QiLingling LiLicheng JiaoMeiyun LiuJianshe Wu: MOEA/D with Baldwinian learning inspired by the regularity property of continuous multiobjective problem. Neurocomputing 145: 336-352 (2014)

91. Xiaoliang MaFang LiuYutao QiMaoguo GongMinglei YinLingling LiLicheng JiaoJianshe Wu: MOEA/D with opposition-based learning for multiobjective optimization problem. Neurocomputing 146: 48-64 (2014)

2013

92. Zhiguo ZhouFang LiuLicheng JiaoLingling LiXiao-Dong WangShuiping GouShuang Wang: Object information based interactive segmentation for fatty tissue extraction. Commput. Biol. Medicine 43(10): 1462-1470 (2013)


国际会议

Author links open overlay panel

1. 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 Scenario guided Optimization, AAAI Conference on Artificial Intelligence, 2024.

2. Yanbiao MaLicheng JiaoFang LiuShuyuan YangXu LiuLingling Li: Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification. CVPR 2023: 15824-15835

3. Qianyue BaoFang LiuYang LiuLicheng JiaoXu LiuLingling Li: Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos. ACM Multimedia 2022: 6103-6112

4. Lingling LiYukai SunFuhai MaJingjing MaLicheng JiaoFang Liu: Deep Complex Convolutional Neural Networks for Remote Sensing Image Classification. IFIP TC12 ICIS 2022: 252-259

5. Zhicheng GuoJiaxuan ZhaoLicheng JiaoXu LiuLingling Li: Multi-Scale Progressive Attention Network for Video Question Answering. ACL/IJCNLP (2) 2021: 973-978

6. Lingling LiLin ChengXiaohui GuoXu LiuLicheng JiaoFang Liu: Deep Adaptive Proposal Network in Optical Remote Sensing Images Objective Detection. IGARSS 2020: 2651-2654

7. Qigong SunXiufang LiLingling LiXu LiuFang LiuLicheng Jiao: Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification. IGARSS 2019: 3245-3248

8. Xiufang LiQigong SunLingling LiZhongle RenFang LiuLicheng Jiao: Pixel Dag-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification. IGARSS 2019: 2718-2721

科研项目

国家自然科学基金青年项目, 尺度深度Contourlet网络及其多目标学习优化算法, 主持;

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;

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;

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;

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;

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;

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;

授权专利成果

1. 焦李成,李玲玲,贾美霞,李艾瑾,吴兆阳,丁静怡,张丹,郭雨薇,唐旭,冯志玺,张梦旋:一种基于注意力网络的3D点云分割方法, ZL201910399005.9

2. 焦李成,李玲玲,邹洪斌,张梦璇,郭雨薇,丁静怡,王佳宁,张丹,冯志玺:基于轮廓波分组特征金字塔卷积的遥感目标检测方法, ZL201910376741.2

3. 李玲玲,梁普江,马晶晶,焦李成,刘芳,郭晓惠:一种基于注意力机制深度Contourlet网络的遥感图像分类方法, ZL201910951214.X

4. 焦李成,李玲玲,王科,樊龙飞,刘旭,冯志玺,朱浩,唐旭,郭雨薇,陈璞花:基于深度特征交叉融合的高光谱图像分类方法, ZL202010007701.3

5. 焦李成,李玲玲,姜升,郭雨薇,程曦娜,丁静怡,张梦璇,杨淑媛,侯彪:基于深度进化剪枝卷积网的遥感图像目标检测方法, ZL201910648586.5

6. 焦李成,李玲玲,李阁,冯捷,张丹,尚凡华,刘园园,张梦旋,丁静怡,杨淑媛,侯彪,屈嵘:基于自适应特征融合残差网的多光谱图像分类方法 ZL201810650236.8

7. 焦李成,李玲玲,陈亚楠,施玲玲,杨静怡,郭雨薇,丁静怡,张梦璇,唐旭,冯志玺:基于语义分割图的遥感图像DSM融合方法, ZL201910421713.8

8. 焦李成,李玲玲,马清华,刘旭,孙启功,刘芳,张格格,冯志玺,郭雨薇,杨淑媛,侯彪:基于分割网络和对抗网络的三维点云语义分割方法, ZL202010230019.0

9. 焦李成,李玲玲,张杰,张格格,马清华,郭雨薇,丁静怡,张梦璇,程曦娜,王佳宁:基于深度学习和自注意力的3D点云数据语义分割方法, ZL201910526990.5

10. 焦李成,李玲玲,杨康,孙其功,刘芳,杨淑媛,侯彪,郭雨薇,唐旭:基于扩张残差卷积的光学遥感图像目标检测方法, ZL201810907184.8

11. 焦李成,李玲玲,张徽,郭雨薇,丁静怡,张梦璇,王晗丁,古晶,杨淑媛,陈璞花,侯彪,屈嵘:基于随机森林多尺度卷积模型的极化SAR分类方法, ZL201810808001.7

12. 焦李成,李玲玲,王茜,唐旭,郭雨薇,丁静怡,张梦旋,古晶,陈璞花,杨淑媛,侯彪,屈嵘:基于加权稠密网的极化SAR图像分类方法, ZL201810113040.5

13. 焦李成,李玲玲,陈婧,郭雨薇,唐旭,杨淑媛,刘芳,侯彪,张向荣,屈嵘:基于多尺度特征学习的光学遥感图像目标检测方法, ZL201810111594.1

14. 焦李成,李玲玲,张徽,唐旭,郭雨薇,丁静怡,张梦旋,古晶,陈璞花,杨淑媛,侯彪,屈嵘:基于聚类细化残差模型的极化SAR分类方法, ZL201810112427.9

15. 焦李成,李玲玲,卫淑波,屈嵘,郭雨薇,唐旭,杨淑媛,丁静怡,侯彪,张梦璇:基于残差学习和条件GAN的极化SAR图像分类方法, ZL201810112178.3

16. 焦李成,李玲玲,曾杰,马文萍,张丹,屈嵘,侯彪,王爽,马晶晶,尚荣华:基于高斯滤波和PSO的极化SAR地物分类方法, ZL201510512624.6

17. 焦李成,李玲玲,李伟龙,屈嵘,杨淑媛,侯彪,王爽,刘红英,熊涛,马文萍,马晶晶:基于面向对象和谱聚类的极化SAR图像分类方法, ZL201410745607.2

18. 焦李成,李玲玲,党晓婉,屈嵘,杨淑媛,候彪,王爽,刘红英,熊涛,马文萍,马晶晶:基于Wishart和SVM的极化SAR图像分类方法, ZL201410740814.9

19. 焦李成,李玲玲,韩佳敏,屈嵘,杨淑媛,侯彪,王爽,刘红英,熊涛,马文萍,马晶晶:基于深度神经网络的SAR纹理图像分类方法, ZL201410745713.0

20. 焦李成,李玲玲,姜红茹,屈嵘,杨淑媛,侯彪,王爽,刘红英,熊涛,马文萍,马晶晶:基于深度小波神经网络的极化SAR图像分类方法, ZL201410741410.1

Education Background

Work Experience

Social Affiliations

Research Focus

  • 1.量子进化优化学习;
    2.深度学习方法与应用;
    3.复杂遥感影像理解与解译;