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学术专著

1. 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.

2. 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.

3. 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. 

4. 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.

5. 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. 

6. 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.

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国际期刊

2024

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)

2023

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. 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)
  22. 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)
  23. 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)
  24. 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)
  25. 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)
  26. 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)
  27. 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

  1.  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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. Mengru Ma, Wenping Ma, 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)
  18. 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)
  19. 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.
  20. 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

  1. 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)
  2. 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)
  3. 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)
  4. Yanqiao Chen, 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

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao,  Fang Liu: SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification. IEEE Access  8: 146560-146576 (2020)

2019

  1. 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)
  2. Ganchao Liu, Lingling Li, Licheng Jiao, Yongsheng Dong, Xuelong Li: Stacked Fisher autoencoder for SAR change detection. Pattern Recognit. 96 (2019)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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

  1. 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)
  2. 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

  1. 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) 
  2. 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

  1.  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)
  2. 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)
  3. 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)
  4. 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

  1. 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)
  2. 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)
  3. 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

  1. 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)
  2. 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)
  3. 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

  1. 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. Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li: Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification. CVPR 2023: 15824-15835
  2. Qianyue Bao, Fang Liu, Yang Liu, Licheng Jiao, Xu Liu, Lingling Li: Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos. ACM Multimedia 2022: 6103-6112
  3. 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
  4. 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
  5. 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: 2651-2654
  6. Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao: Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification. IGARSS 2019: 3245-3248
  7. Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao: Pixel Dag-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification. IGARSS 2019: 2718-2721
27\\\\\\\\'"> Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification. CVPR 2023: 15824-15835
  • Qianyue Bao, Fang Liu, Yang Liu, Licheng Jiao, Xu Liu, Lingling Li: Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos. ACM Multimedia 2022: 6103-6112
  • 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
  • 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
  • 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: 2651-2654
  • Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao: Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification. IGARSS 2019: 3245-3248
  • Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao: Pixel Dag-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification. IGARSS 2019: 2718-2721
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