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专著
  1.  焦李成，孙其功，田小林，侯彪，李阳阳. 人工智能室验简明教程. 清华大学出版社，2021. 
  2.  田小林，孙其功，焦李成，侯彪. 人工智能创新室验教程. 西安电子科技大学出版社，2021.
  3.  焦李成，侯彪等. 人工智能、类脑计算与图像解译前沿. 西安电子科技大学出版社，2020.
  4.  孙其功，邬刚， 田小林， 陈永， 侯彪等. 深度神经网络FPGA设计与实现. 西安电子科技大学出版社，2020.
  5.  焦李成，李阳阳，侯彪，石光明. 人工智能学院本硕博培养体系. 清华大学出版社, 2019.
  6.  焦李成，刘芳， 李玲玲， 杨淑媛，侯彪等. 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.
  7.  焦李成，侯彪等. 雷达图像解译技术. 国防工业出版社, 2017.
  8.  焦李成，侯彪等. 智能SAR影像变化检测. 科学出版社, 2017
  9.  焦李成，尚荣华, 刘芳, 杨淑媛, 侯彪等. 稀疏学习、分类与识别. 科学出版社, 2017
  10.  焦李成，尚荣华, 刘芳, 杨淑媛, 侯彪等. 认知计算与多目标优化. 科学出版社, 2017
  11.  焦李成，侯彪等.图像多尺度几何分析理论与应用. 西安电子科技大学出版社, 2008
  12.  焦李成，张向荣，侯彪等. 智能SAR图像处理与解译. 科学出版社, 2008
  13.  焦李成，公茂果，王爽，侯彪等. 自然计算、机器学习与图像理解前沿. 西安电子科技大学出版社, 2008
期刊论文
  1. Zhonghua Li, Biao Hou, Zitong Wu, Bo Ren, Zhongle Ren, Licheng Jiao. Gaussian Synthesis for High-Precision Location in Oriented Object Detection. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 1-12.
  2. Wenping Ma, Mengru Ma, Licheng Jiao, Fang Liu, Hao Zhu, Xu Liu, Shuyuan Yang, Biao Hou. An Adaptive Migration Collaborative Network for Multimodal Image Classification. IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI: 10.1109/TNNLS.2023.3245643.
  3. Wenping Ma, Mingyu Yue, Yue Wu, Yongzhe Yuan, Hao Zhu, Biao Hou, Licheng Jiao. Explore the Influence of Shallow Information on Point Cloud Registration. IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI: 10.110 9/TNNLS.2023.3284035.
  4. 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, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng. Brain-inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, DOI:10.1109/JSTARS.2023.3316302.
  5. Xianpeng Guo, Biao Hou, Chen Yang, Siteng Ma, Bo Ren, Shuang Wang, Licheng Jiao. Visual explanations with detailed spatial information for remote sensing image classification via channel saliency. International Journal of Applied Earth Observation and Geoinformation. 2023, 118: 103244.
  6. Zitong Wu, Biao Hou, Xianpeng Guo, Bo Ren, Zhonghua Li, Shuang Wang, Licheng Jiao. CCNR: Cross-regional context and noise regularization for SAR image segmentation. International Journal of Applied Earth Observation and Geoinformation. 2023, 121: 103363.
  7. Helei Qiu, Biao Hou, Bo Ren, Xiaohua Zhang. Spatio-temporal segments attention for skeleton-based action recognition. Neurocomputing. 2023, 518: 30-38.
  8. Licheng Jiao, Xin Zhang, Xu Liu, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Yuwei Guo, Xu Tang, Biao Hou, Xiangrong Zhang, Jing Bai, Dou Quan, Junpeng Zhang. Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023, 16: 1-45.
  9. Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng. Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023, 16: 2992-3033.
  10. Dou Quan, Huiyuan Wei, Shuang Wang, Yi Li, Jocelyn Chanussot, Yanhe Guo, Biao Hou, Licheng Jiao. Efficient and Robust: A Cross-Modal Registration Deep Wavelet Learning Method for Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023, 16: 4739-4754.
  11. 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 Transactions on Artificial Intelligence. 2023, 4(1): 2-22.
  12. Licheng Jiao, Jie Gao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou. Multiscale Representation Learning for Image Classification: A Survey. IEEE Transactions on Artificial Intelligence. 2023, 4(1): 23-43.
  13. Jing Chen, Biao Hou, Bo Ren, Qian Wu, Licheng Jiao. An Improved Neural Network Classification Algorithm by Expanding Training Samples for Polarimetric SAR Application. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-16.
  14. Zhihao Li, Biao Hou, Xianpeng Guo, Siteng Ma, Yanyu Cui, Shuang Wang, Licheng Jiao. Contrastive Learning Based on Multiscale Hard Features for Remote-Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-13.
  15. Zhonghua Li, Biao Hou, Zitong Wu, Zhengxi Guo, Bo Ren, Xianpeng Guo, Licheng Jiao. Complete Rotated Localization Loss Based on Super-Gaussian Distribution for Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-14.
  16. Siteng Ma, Biao Hou, Zitong Wu, Zhihao Li, Xianpeng Guo, Bo Ren, Licheng Jiao. Automatic Aug-Aware Contrastive Proposal Encoding for Few-Shot Object Detection of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-11.
  17. Dou Quan, Huiyuan Wei, Shuang Wang, Yu Gu, Biao Hou, Licheng Jiao. A Novel Coarse-to-Fine Deep Learning Registration Framework for Multimodal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-16.
  18. 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 Transactions on Geoscience and Remote Sensing. 2023, 61: 1-13.
  19. Jie Gao, Licheng Jiao, Fang Liu, Shuyuan Yang, Biao Hou, Xu Liu. Multiscale Curvelet Scattering Network. IEEE Transactions on Neural Networks and Learning Systems. 2023, 34(7): 3665-3679.
  20. Wenping Ma, Yating Li, Hao Zhu, Haoxiang Ma, Licheng Jiao, Jianchao Shen, Biao Hou. A Multi-Scale Progressive Collaborative Attention Network for Remote Sensing Fusion Classification. IEEE Transactions on Neural Networks and Learning Systems. 2023, 34(8): 3897-3911.
  21. Yuxuan Li, Licheng Jiao, Zhongjian Huang, Xin Zhang, Ruohan Zhang, Xue Song, Chenxi Tian, Zixiao Zhang, Fang Liu, Shuyuan Yang, Biao Hou, Wenping Ma, Xu Liu. Lingling Li. Deep Learning-Based Object Tracking in Satellite Videos: A comprehensive survey with a new dataset.IEEE Geoscience and Remote Sensing Magazine, 2022, 10(4), 181-212.
  22. Dou Quan, Shuang Wang, Ning Huyan, Yi Li, Ruiqi Lei, Jocelyn Chanussot, Biao Hou, Licheng Jiao. A Concurrent Multiscale Detector for End-to-End Image Matching. IEEE Transactions on Neural Networks and Learning Systems, 2022, DOI: 10.1109/TNNLS.2022.3194079.
  23. Chen Yang, Biao Hou, Qian Wu, Bo Ren, Jocelyn Chanussot, Shuang Wang, Licheng Jiao. PDFL: Polarimetric Decomposition Feature Learning via Deep Autoencoder. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60 1-17.
  24. Dou Quan, Shuang Wang, Yu Gu, Ruiqi Lei, Bowu Yang, Shaowei Wei, Biao Hou, Licheng Jiao. Deep Feature Correlation Learning for Multi-Modal Remote Sensing Image Registration. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 1-16.
  25. 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 Transactions on Geoscience and Remote Sensing. 2022, 60: 1-15.
  26. Wenping Ma, Na Li, Hao Zhu, Licheng Jiao, Xu Tang, Yuwei Guo, Biao Hou. Feature Split-Merge-Enhancement Network for Remote Sensing Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 2022, Sens. 60: 1-17.
  27. Siteng Ma, Biao Hou, Xianpeng Guo, Zhihao Li, Zitong Wu, Shuang Wang, Licheng Jiao. Multicrop Fusion Strategy Based on Prototype Assignment for Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 1-12.
  28. Yinuo Liao, Hao Zhu, Licheng Jiao, Xiaotong Li, Na Li, Kenan Sun, Xu Tang, Biao Hou. A Two-Stage Mutual Fusion Network for Multispectral and Panchromatic Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 1-18.
  29. Rui Yang, Shuang Wang, Yingzhi Sun, Huan Zhang, Yu Liao, Yu Gu, Biao Hou, Licheng Jiao. Multimodal Fusion Remote Sensing Image-Audio Retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022, 15: 6220-6235.
  30. Bo Ren, Mengqian Chen, Biao Hou, Danfeng Hong, Shibin Ma, Jocelyn Chanussot, Licheng Jiao. PolSAR Scene Classification via Low-Rank Constrained Multimodal Tensor Representation. Remote Sensing, 2022 14(13): 3117.
  31. Xianpeng Guo, Biao Hou, Zitong Wu, Bo Ren, Shuang Wang, Licheng Jiao. Prob-POS: A Framework for Improving Visual Explanations from Convolutional Neural Networks for Remote Sensing Image Classification. Remote Sensing. 2022, 14(13): 3042.
  32. Hao Zhu, Kenan Sun, Licheng Jiao, Xiaotong Li, Fang Liu, Biao Hou, Shuang Wang. Adaptive Dual-Path Collaborative Learning for PAN and MS Classification. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 1-15.
  33. Xiutiao Ye, Shuang Wang, Yu Gu, Jihui Wang, Ruixuan Wang, Biao Hou, Fausto Giunchiglia, Licheng Jiao. A Joint-Training Two-Stage Method For Remote Sensing Image Captioning. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 1-16.
  34. Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Yake Zhang, Jianlong Wang. Coarse-to-Fine Contrastive Self-Supervised Feature Learning for Land-Cover Classification in SAR Images With Limited Labeled Data. IEEE Transactions on Image Processing. 2022, 31: 6502-6516.
  35. Jianlong Wang, Biao Hou, Bo Ren, Yake Zhang, Meijuan Yang, Shuang Wang, Licheng Jiao. Parameter selection of Touzi decomposition and a distribution improved autoencoder for PolSAR image classification. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 186: 246-266.
  36. Dou Quan, Huiyuan Wei, Shuang Wang, Ruiqi Lei, Baorui Duan, Yi Li, Biao Hou, Licheng Jiao. Self-Distillation Feature Learning Network for Optical and SAR Image Registration. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.
  37. Zhaoliang Pi, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Biao Hou, Shuyuan Yang. Very Low-Resolution Moving Vehicle Detection in Satellite Videos. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.
  38. 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 Transactions on Geoscience and Remote Sensing, 2022, 60.
  39. Bo Ren, Shibin Ma, Biao Hou, Danfeng Hong, Jocelyn Chanussot, Jianlong Wang, Licheng Jiao.A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification. International Journal of Applied Earth Observation and Geoinformation, 2022, 112: 102896.
  40. Shuang Wang, Xiutiao Ye, Yu Gu, Jihui Wang,Yun Meng, Jingxian Tian, Biao Hou, Licheng Jiao. Multi-label semantic feature fusion for remote sensing image captioning. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 184: 1-18.
  41. Wenping Ma, Na Li, Hao Zhu, Licheng Jiao, Xu Tang, Yuwei Guo, Biao Hou. Feature Split–Merge–Enhancement Network for Remote Sensing Object Detection. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-17.
  42. Biao Hou, Zitong Wu, Bo Ren, Zhonghua Li, Xianpeng Guo, Shuang Wang, Licheng Jiao. A Neural Network Based on Consistency Learning and Adversarial Learning for Semi-supervised Synthetic Aperture Radar Ship Detection. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-16.
  43. Yanyu Cui, Biao Hou, Qian Wu, Bo Ren, Shuang Wang, Licheng Jiao. Remote Sensing Object Tracking With Deep Reinforcement Learning Under Occlusion. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60(7): 1-13.
  44. Chen Yang, Biao Hou, Jocelyn Chanussot, Yue Hu, Bo Ren, Shuang Wang, Licheng Jiao. N-cluster Loss and Hard Sample Generative Deep Metric Learning for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60(8): 1-16.
  45. Licheng Jiao, Jie Gao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou. Multi-Scale Representation Learning for Image Classification: A Survey. IEEE Transactions on Artificial Intelligence, DOI: 10.1109/TAI.2022.3170001.
  46. Licheng Jiao, Yuting Yang, Fang Liu, Shuyuan Yang, Biao Hou. The New Generation Brain-inspired Sparse Learning: A Comprehensive Survey. IEEE Transactions on Artificial Intelligence, 2022, DOI: 10.1109/TAI.2021.3135248.
  47. Wenping Ma, Na Li, Hao Zhu, Kenan Sun, Zhongle Ren, Xu Tang, Biao Hou, Licheng Jiao. A Collaborative Correlation-Matching Network for Multi-modality Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.
  48. Chen Yang, Biao Hou, Xianpeng Guo, Bo Ren, Jocelyn Chanussot, Shuang Wang, Licheng Jiao. Reconstruction Error-based Decomposition Feature Selection for PolSAR Image. IEEE Transactions on Geoscience and Remote Sensing, 2022, DOI: 10.1109/TGRS.2021.3125323.
  49. Jie Gao, Licheng Jiao, Fang Liu, Shuyuan Yang, Biao Hou, Xu Liu. Multiscale Curvelet Scattering Network. IEEE Transactions on Neural Networks and Learning Systems, 2022, DOI: 10.1109/TNNLS.2021.3118221.
  50. Zhihao Li, Bing Han, Xinbo Gao, Biao Hou, Zongyuan Liu. Distance constraint between features for unsupervised domain adaptive person reidentification. Neurocomputing, 2021, 462(28): 113-122.
  51. Xianpeng Guo, Biao Hou, Bo Ren, Zhongle Ren, Licheng Jiao. Network Pruning for Remote Sensing Images Classification Based on Interpretable CNNs. IEEE Transactions on Geoscience and Remote Sensing, 2021, DOI: 10.1109/TGRS.2021.3077062.
  52. Jianlong Wang, Biao Hou, Licheng Jiao, Shuang Wang. Representative Learning via Span-Based Mutual Information for PolSAR Image Classification. Remote Sensing, 2021, 13(9): 1609.
  53. Zitong Wu, Biao Hou, Bo Ren, Zhongle Ren, Shuang Wang, Licheng Jiao. A Deep Detection Network Based on Interaction of Instance Segmentation and Object Detection for SAR Images. Remote Sensing, 2021, 13(13): 2582.
  54. Dou Quan, Shuang Wang, Yi Li, Bowu Yang, Ning Huyan, Jocelyn Chanussot, Biao Hou, Licheng Jiao. Multi-relation Attention Network for Image Patch Matching. IEEE Transactions on Image Processing, 2021: 10.1109/TIP.2021.3101414.
  55. 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 Transactions on Cybernetics, 2021, DOI: 10.1109/TCYB.2021.3064571.
  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 Transactions on Neural Networks and Learning Systems, 2021, DOI: 10.1109/TNNLS.2021.3053249.
  57. Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Meng Jiang. DPFL-Nets: Deep Pyramid Feature Learning Networks for Multiscale Change Detection. IEEE Transactions on Neural Networks and Learning Systems, 2021, DOI: 10.1109/TNNLS.2021.3079627.
  58. Wenping Ma, Jianchao Shen, Hao Zhu, Jun Zhang, Jiliang Zhao, Biao Hou, Licheng Jiao. A Novel Adaptive Hybrid Fusion Network for Multiresolution Remote Sensing Images Classification. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.
  59. Wenping Ma, Haoxiang Ma, Hao Zhu, Yating Li, Longwei Li, Licheng,Jiao, Biao Hou. Hyperspectral image classification based on spatial and spectral kernels generation network. Information Sciences, 2021, 578: 435-456.
  60. Dou Quan, Shuang Wang, Ning Huyan, Jocelyn Chanussot, Ruojing Wang, Xuefeng Liang, Biao Hou,Licheng Jiao. Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching. IEEE Transactions on Neural Networks and Learning Systems, 2021, DOI: 10.1109/TNNLS.2021.3052756.
  61. Bo Ren, Yangyang Zhao, Biao Hou, Jocelyn Chanussot, Licheng Jiao. A Mutual Information-Based Self-Supervised Learning Model for PolSAR Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing, 2021, DOI: 10.1109/TGRS.2020.3048967.
  62. Wenping Ma, Jiliang Zhao, Hao Zhu, Jianchao Shen, Licheng Jiao, Yue Wu, Biao Hou. A Spatial-Channel Collaborative Attention Network for Enhancement of Multiresolution Classification. Remote Sensing, 2021, 13(1): 106.
  63. Hao Zhu, Mengru Ma, Wenping Ma, Licheng Jiao, Shikuan Hong, Jianchao Shena, Biao Hou. A spatial-channel progressive fusion ResNet for remote sensing classification. Information Fusion, 2021, 70: 72-87.
  64. Qian Wu, Biao Hou, Zaidao Wen, Zhongle Ren, Licheng Jiao. Cost-sensitive Latent Space Learning for Imbalanced PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(6): 4802-4817.
  65. Zitong Wu, Biao Hou, Licheng Jiao. Multiscale CNN With Autoencoder Regularization Joint Contextual Attention Network for SAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(2): 1200-1213.
  66. Xu Liu, Licheng Jiao, Lingling Li, Lin Cheng,Fang Liu, Shuyuan Yang, Biao Hou. Deep Multiview Union Learning Network for Multisource Image Classification. IEEE Transactions on Cybernetics, 2020, 52(6): 4534-4546.
  67. Meijuan Yang, Licheng Jiao, Biao Hou, Fang Liu, Shuyuan Yang. Selective Adversarial Adaptation-Based Cross-Scene Change Detection Framework in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 2020, DOI: 10.1109/TGRS.2020.3001584.
  68. Biao Hou, Zhongle Ren, Wei Zhao, Qian Wu, Licheng Jiao. Object Detection in High-resolution Panchromatic Images Using Deep Models and Spatial Template Matching. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(2): 956-970.
  69. Shuang Wang, Yanhe Guo, Wenqiang Hua, Xinan Liu, Guoxin Song, Biao Hou, Licheng Jiao. Semi-Supervised PolSAR Image Classification Based on Improved Tri-Training With a Minimum Spanning Tree. IEEE Transactions on Geoscience and Remote Sensing, 2020, DOI: 10.1109/TGRS.2020.2988982.
  70. Bo Ren, Biao Hou, Jocelyn Chanussot, Licheng Jiao. PolSAR Feature Extraction via Tensor Embedding Framework for Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing, 2020，58(4): 2337-2351.
  71. Jianlong Wang, Biao Hou, Licheng Jiao, Shuang Wang. POL-SAR Image Classification Based on Modified Stacked Autoencoder Network and Data Distribution. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(3): 1678-1695.
  72. 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. Information Fusion, 2020, 58: 116-131.
  73. Hongying Liu, Ruyi Luo, Fanhua Shang, Xuechun Meng, Shuiping Gou, Biao Hou. Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data. Remote Sensing, 2020, 12(10): 1593.
  74. Qian Wu, Biao Hou, Zaidao Wen, Zhongle Ren, Bo Ren, Licheng Jiao. Structure Label Matrix Completion for PolSAR Image Classification. Remote Sensing, 2020, 12(3) : 459.
  75. Bo Ren, Biao Hou, Jocelyn Chanussot, Licheng Jiao. Modified Tensor Distance-Based Multiview Spectral Embedding for PolSAR Land Cover Classification. IEEE Geoscience and Remote Sensing Letters, 2020.
  76. 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. Information Fusion, 2020, 58: 116-131.
  77. Zhongle Ren, Biao Hou, Qian Wu, Zaidao Wen, Licheng Jiao. A Distribution and Structure Match Generative Adversarial Network for SAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(6): 3864-3880.
  78. Biao Hou, Jiaojiao Guan, Qian Wu, Licheng Jiao. Semisupervised Classification of PolSAR Image Incorporating Labels\' Semantic Priors. IEEE Geoscience and Remote Sensing Letters, 2020, 17(10): 1737-1741.
  79. Qian Wu, Biao Hou, Zaidao Wen, Licheng Jiao. Variational Learning of Mixture Wishart Model for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(1): 141-154.
  80. Chen Yang, Biao Hou, Bo Ren, Yue Hu, Licheng Jiao. CNN-Based Polarimetric Decomposition Feature Selection for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(11): 8796-8812.
  81. Hongying Liu, Feixiang Wang, Shuyuan Yang, Biao Hou, Licheng Jiao, Ri Yang. Fast Semisupervised Classification Using Histogram-Based Density Estimation for Large-Scale Polarimetric SAR Data. IEEE Geoscience and Remote Sensing Letters, 2019, 16(12): 1844-1848.
  82. Yiguo Qiao, Licheng Jiao, Shuyuan Yang, Biao Hou. A Novel Segmentation Based Depth Map Up-Sampling. IEEE Transactions on Multimedia, 2019, 21(1):1-14.
  83. Wei Zhao, Wenping Ma, Licheng Jiao, Puhua Chen, Shuyuan Yang, Biao Hou. Multi-Scale Image Block-Level F-CNN for Remote Sensing Images Object Detection. IEEE Access, 2019, 7: 43607-43621.
  84. Biao Hou, Lanqi Wang, Qian Wu, Qingsen Han, Licheng Jiao. Complex Gaussian–Bayesian Online Dictionary Learning for SAR Target Recognition with Limited Labeled Samples. IEEE Access, 2019,7: 120626-120637.
  85. Yiguo Qiao, Licheng Jiao, Shuyuan Yang, Biao Hou, Jie Feng. Color Correction and Depth-Based Hierarchical Hole Filling in Free Viewpoint Generation. IEEE Transactions on Broadcasting, 2019, 65(2):294-307.
  86. Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang. Transferred Deep Learning-Based Change Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 6960-6973.
  87. Fang Liu, Licheng Jiao, Xu Tang, Shuyuan Yang, Wenping Ma, Biao Hou. Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(3): 818-833.
  88. Huan Chen, Licheng Jiao, Miaomiao Liang, Fang Liu, Shuyuan Yang, Biao Hou. Fast unsupervised deep fusion network for change detection of multitemporal SAR images. Neurocomputing, 2019, 332(7): 56-70.
  89. Biao Hou, Jianlong Wang, Licheng Jiao, Shuang Wang. Auto Encoder Feature Learning with Utilization of Local Spatial Information and Data Distribution for Classification of PolSAR Image. Remote Sensing, 2019, 11(11): 1313.
  90. Wenping Ma, Hui Yang, Yue Wu, Yunta Xiong, Tao Hu, Licheng Jiao, Biao Hou. Change Detection Based on Multi-Grained Cascade Forest and Multi-Scale Fusion for SAR Images. Remote Sensing, 2019, 11(2): 142.
  91. Zaidao Wen, Biao Hou, Qian Wu, Licheng Jiao. Discriminative Feature Learning for Real-Time SAR Automatic Target Recognition With the Nonlinear Analysis Cosparse Model. IEEE Geoscience Remote Sensing Letters, 2018, 15(7): 1045-1049.
  92. Qian Wu, Biao Hou, Zaidao Wen, Licheng Jiao. Variational Learning of Mixture Wishart Model for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2018, DOI:10.1109/TGRS.2018.2852633.
  93. Ronghua Shang, Jiaming Wang, Licheng Jiao, RustamStolkin, Biao Hou, Yangyang Li. SAR Targets Classification Based on Deep Memory Convolution Neural Networks and Transfer Parameters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(8): 2834-2846.
  94. Miaomiao Liang, Licheng Jiao, Shuyuan Yang, Fang Liu, Biao Hou, Huan Chen. Deep Multiscale Spectral-Spatial Feature Fusion for Hyperspectral Images Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(8): 2911-2924.
  95. Dan Zhang, Licheng Jiao, Xue Bai, Shuang Wang, Biao Hou. A robust semi-supervised SVM via ensemble learning. Applied Soft Computing. 2018, 65: 632-643.
  96. YiguoQiao, Licheng Jiao, Shuyuan Yang, Biao Hou. A Novel Segmentation based Depth Map Upsampling. IEEE Transactions on Multimedia, 2018, DOI:10.1109/TMM.2018.2845699.
  97. Fang Liu, Licheng Jiao, Xu Tang, Shuyuan Yang, Wenping Ma, Biao Hou. Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images. IEEE Transactions on Neural Networks and Learning Systems, 2018, DOI:10.1109/TNNLS.2018.2847309.
  98. Huifang Shen, Biao Hou, Zaidao Wen, Licheng Jiao. Structural-Correlated Self-Examples Based Superresolution of Single Remote Sensing Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(9): 3209-322.
  99. Zhongle Ren, Biao Hou, Zaidao Wen, Licheng Jiao. Patch-Sorted Deep Feature Learning for High Resolution SAR Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(9): 3113-3126.
  100. Biao Hou, Chen Yang, Bo Ren, Licheng Jiao. Decomposition-Feature-Iterative-Clustering-Based Superpixel Segmentation for PolSARImage Classification. IEEE Geoscience Remote Sensing Letters, 2018, 15(8): 1239-1243.
  101. Bo Ren, Biao Hou, Jin Zhao, Licheng Jiao. Sparse Subspace Clustering-Based Feature Extraction for PolSAR Imagery Classification. Remote Sensing, 2018, 10(3), 391. 
  102. Yiguo Qiao, Licheng Jiao, Biao Hou. High-quality depth up-sampling based on multi-scale SLIC. Electronics Letters. 2018, 54(8): 494-496.
  103. Biao Hou, Kang Zhou, Licheng Jiao. Adaptive Super-Resolution for Remote Sensing Images Based on Sparse Representation With Global Joint Dictionary Model. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4): 2312 - 2327.
  104. Biao Hou, Zaidao Wen, Licheng Jiao, Qian Wu. Target-Oriented High-Resolution SAR Image Formation via Semantic Information Guided Regularizations. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4): 1922 - 1939.
  105. Biao Hou, Qian Wu, Zaidao Wen, Licheng Jiao. Robust Semisupervised Classification for PolSAR Image With Noisy Labels. IEEE Transactions on Geoscience and Remote Sensing. 2017, 55(11): 6440 - 6455
  106. Zaidao Wen, Biao Hou, Qian Wu, Licheng Jiao, Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering. IEEE Transactions On Cybernetics, 48(8): 2218-2231.
  107. Wen Xie, Licheng Jiao, Biao Hou, Wenping Ma, Jin Zhao, Shuyin Zhang, Fang Liu. POLSAR Image Classification via Wishart-AE Model or Wishart-CAE Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(8): 3604-3615.
  108. Zaidao Wen, Biao Hou, Licheng Jiao. Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification. IEEE Transactions on Image Processing, 2017, 26(7): 3449 - 3462
  109. Biao Hou, Guang Zhang, Zhenwei Li, Licheng Jiao. Sparse Coding-Inspired High-Resolution ISAR Imaging Using Multistage Compressive Sensing. IEEE Transactions on Aerospace and Electronic Systems, 2017, 53(1): 26 – 40.
  110. Zaidao Wen, Biao Hou, Licheng Jiao. Joint Sparse Recovery With Semisupervised MUSIC. IEEE Signal Processing Letters. 2017, 24(5): 629 – 633.
  111. Yaoguo Zheng, Licheng Jiao, Hongying Liu, Xiangrong Zhang, Biao Hou, Shuang Wang. Unsupervised saliency-guided SAR image change detection. Pattern Recognition, 2017, 61: 309-326.
  112. Bo Ren, Biao Hou, Jin Zhao, Licheng Jiao. Unsupervised Classification of Polarimetirc SAR Image Via Improved Manifold Regularized Low-Rank Representation With Multiple Features. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(2): 580 – 595.
  113. Zaidao Wen, Biao Hou, Licheng Jiao. Discriminative Dictionary Learning With Two-Level Low Rank and Group Sparse Decomposition for Image Classification. IEEE Transactions on Cybernetics, 2017, 47(11): 3758 - 3771
  114.  Ronghua Shang, Yijing Yuan, Licheng Jiao, Biao Hou. Amir Masoud Ghalamzan Esfahani; Rustam Stolkin, A Fast Algorithm for SAR Image Segmentation Based on Key Pixels. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Year: 2017, 10(12): 5657 - 5673
  115. Shuyin Zhang, Biao Hou, Licheng Jiao, Qian Wu, Chen Sun, Wen Xie. Context-Based Max-Margin for PolSAR Image Classification. IEEE Access, 2017,5, 24070 – 24077
  116. Biao Hou, Hongda Kou, Licheng Jiao, Classification of Polarimetric SAR Images Using Multil[ant]ayer Autoencoders and Superpixels. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(7), July 2016.
  117. Biao Hou, Bo Ren, Guilin Ju, Huiyan Li, Licheng Jiao, Jin Zhao. SAR Image Classification via Hierarchical Sparse Representation and Multisize Feature, IEEE Geoscience Remote Sensing Letters, 13(1), January 2016.
  118. Fang Liu, Licheng Jiao, Biao Hou, Shuyuan Yang. POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information, IEEE Transaction on Geoscience Remote Sensing, 54(6), June 2016.
  119. Shang Ronghua, Tian P, Jiao Licheng, Rustam Stolkin, Jie Feng, Biao Hou, Xiangrong Zhang. A Spatial Fuzzy Clustering Algorithm With Kernel Metric Based on Immune Clone for SAR Image Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(4): 1640-1652.
  120. Gu Jing, Jiao Licheng, Yang Shuyuan, Fang Liu, Biao Hou, Zhiqiang Zhao. A Multi-kernel Joint Sparse Graph for SAR Image Segmentation.. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(3): 1265-1285.
  121. Yaoguo Zheng, Licheng Jiao, Ronghua Shang, Biao Hou, Xiangrong Zhang. Local Collaborative Representation With Adaptive Dictionary Selection for Hyperspectral Image Classification.  IEEE Geoscience Remote Sensing Letters, 2016, 13(10): 1482-1486.
  122. Erlei Zhang, Xiangrong Zhang, Licheng Jiao, Hongying Liu, Shuang Wang, Biao Hou. Weighted multifeature hyperspectral image classification via kernel joint sparse representation. Neurocomputing ,  2016, 178: 71-86.
  123. Zhiqiang Zhao, Licheng Jiao, Biao Hou, Shuang Wang, Jiaqi Zhao, Puhua Chen. Locality-constraint discriminant feature learning for high-resolution SAR image classification. Neurocomputing, 2016, 207: 772-784 .
  124. Hao Zhu, Wenping Ma, Biao Hou, Licheng Jiao. SAR Image Registration Based on Multifeature Detection and Arborescence Network Matching.  IEEE Geoscience Remote Sensing Letters,  2016, 13(5): 706-710.
  125. Erlei Zhang, Xiangrong Zhang, Licheng Jiao, Lin Li, Biao Hou. Spectral-spatial hyperspectral image ensemble classification via joint sparse representation. Pattern Recognition 2016, 59: 42-54.    
  126. Jianing Wang, Licheng Jiao, Shuang Wang, Biao Hou. Fang Liu. Adaptive Nonlocal Spatial–Spectral Kernel for Hyperspectral Imagery Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(9): 4086 – 4101.
  127. Hongying Liu, Dexiang Zhu, Shuyuan Yang, Biao Hou, Shuiping Gou, Tao Xiong, Licheng Jiao. Semisupervised Feature Extraction With Neighborhood Constraints for Polarimetric SAR Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(7): 3001 – 3015.
  128. Biao Hou, Chao Chen, Xiaojuan Liu. Multilevel Distribution Coding Model Based Dictionary Learning for PolSAR Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(11): 5262 – 5280
  129. Liu Fang, Lin Leping, Jiao Licheng, Lingling Li, Shuyuan Yang, Biao Hou, Hongmei Ma, Li Yang, Jinghuan Xu. Nonconvex compressed sensing by nature-inspired optimization algorithms. IEEE Transaction on cybernetics, 2015, 45(5): 1042-1053.
  130. Biao Hou, Taimin Huang, Licheng Jiao. Spectral-Spatial Classification of Hyperspectral Data Using 3D-Morphological Profile. IEEE Geosci. Remote Sens. Lett., 2015, 12(2): 2364 - 2368.
  131. Biao Hou, Xingzhong Chen, Licheng Jiao, Multil[ant]ayer CFAR Detection of Ship Targets in Very High Resolution SAR Images, IEEE Geoscience Remote Sensing Letters, 12(4):811-815, Apr. 2015.
  132. Licheng Jiao, Xu Tang, Biao Hou, Shuang Wang. SAR images retrieval based on semantic classification and region-based similarity measure for earth observation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(8): 3876-3891.
  133. Tao Xiong, Shuang Wang, Biao Hou, Yong Wang, Hongying Liu . A Resample-Based SVA Algorithm for Sidelobe Reduction of SAR/ISAR Imagery With Noninteger Nyquist Sampling Rate. IEEE Transaction on Geoscience Remote Sensing, 2015, 53(2): 1016-1028.
  134. Biao Hou, Qian Wei, Yaoguo Zheng, Shuang Wang. Unsupervised Change Detection in SAR Image Based on Gauss-Log Ratio Image Fusion and Compressed Projection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(8): 3297-3317
  135. Yan Ren, Shuang Wang, Biao Hou, Jingjing Ma. A Novel Eye Localization Method with Rotation Invariance. IEEE Transaction on Image Processing, 2014, 23(1): 226-239.
  136. Yaoguo Zheng, Xiangrong Zhang, Biao Hou, Ganchao Liu. Using Combined Difference Image and k-Means Clustering for SAR Image Change Detection. IEEE Geoscience Remote Sensing Letters, 2014, 11(3):691-695. 
  137. Biao Hou, Xiangrong Zhang, Qiang Ye, Yaoguo Zheng. A Novel Method for Hyperspectral Image Classification Based on Laplacian Eigenmap Pixels Distribution-Flow. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3): 1602-1618
  138. Hang Yu, Xiangrong Zhang, Shuang Wang, Biao Hou. Context-Based Hierarchical Unequal Merging for SAR Image Segmentation.. IEEE Transactions on Geoscience and Remote Sensing, 2013, 99:1-15.
  139. H. L. Wan, C. Jung, Biao Hou, G. T. Wang, Q. X. Tang. Novel Change Detection in SAR Imagery Using Local Connectivity. IEEE Geoscience and Remote Sensing Letters, 2013, 10(1):174-178. 
  140. Fei Yin, L. C. Jiao, Fanhua Shang, Shuang Wang, Biao Hou. Fast Fisher Sparsity Preserving Projections. Neural Computing and Applications 2013, 23(3-4): 691-705
  141. Biao Hou, Xiaohua Zhang, Xiaoming Bu, Hongxiao Feng. SAR Image Despeckling Based on Nonsubsampled Shearlet Transform. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5(3):809-823.
  142. Biao Hou, Xiangrong Zhang, Nan Li. MPM SAR Image Segmentation Using Feature Extraction and Context Model. IEEE Geoscience and Remote Sensing Letters, 2012, 9(6):1041-1045.
  143. Hongxiao Feng, Biao Hou, Maoguo Gong. SAR Image Despeckling Based on Local Homogeneous Region Segmentation by Using Pixel Relativity Measurement. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(2): 1-14.  
  144. Licheng Jiao, Lei Wang, Jiaji Wu, Jing Bai, Shuang Wang, Biao Hou. Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Two-Dimensional Images, IEEE Geoscience and Remote Sensing Letters, 2011, 8(2): 326-330.
  145.  J. Wu, F. Liu, L. Jiao, X. Wang, B. Hou, Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using Scale Mixture Models, IEEE Trans on Image Processing, 2011, 20(12): 3483-3494.
  146. 张向荣，于心源，唐旭，侯彪，焦李成. 基于马尔科夫判别谱聚类的极化SAR图像分类方法. 雷达学报，2019，4：425-435.
  147. 张姝茵，侯彪，焦李成，吴倩. 基于稀疏自编码器和边缘保持的Wishart马尔科夫随机场的极化SAR图像分类. 红外与毫米波学报，2018，2：177-183.
  148. 朱虎明，李佩，焦李成，杨淑媛，侯彪.  深度神经网络并行化研究综述. 计算机学报，2018，8：1861-1881.
  149. 张姝茵，侯彪. 高概率选择和自适应MRF的极化SAR分类. 西安电子科技大学学报， 2017，6: 59-64.
  150. 滑文强 , 王爽 , 侯彪.  基于半监督学习的SVM-Wishart极化SAR图像分类方法. 雷达学报，2015，4（1）：93-96. （2015年度雷达学报高被引论文）
  151. 王爽，于佳平，刘坤，侯彪，焦李成. 基于双边滤波的极化SAR 相干斑抑制. 雷达学报，2014，3（1）：65-68.
  152.  焦李成, 杨淑媛, 刘芳, 侯彪. 压缩感知回顾与展望. 电子学报，2011, 20(7):1651-1662.
  153.  侯彪, 胡育辉, 焦李成. SAR图像水域的改进Shearlet边缘检测. 中国图象图形学报. 2010，15(10):1549-1554.
  154.  侯彪，翟艳霞，焦李成. 用于SAR图像分割的第二代Bandelet域HMT-3S模型. 红外与毫米波学报. 2010，29(2):145-149.
  155.  凤宏晓, 焦李成, 侯彪. 基于局部平移瑞利分布模型的SAR图像相干斑抑制. 电子与信息学报. 2010, 32(4):925-931.
  156.  凤宏晓, 侯 彪, 焦李成, 卜晓明. 基于非下采样Contourlet域局部高斯模型和MAP的SAR图像相干斑抑制. 电子学报. 2010, 38(4):811-816.
  157. 侯彪，刘凤，焦李成，包慧东. 基于小波域隐马尔科夫树模型的图像分割. 红外与毫米波学报，2009，28(2):156-160.
  158. 侯彪，徐婧，刘凤，焦李成. 基于第二代Bandelet域隐马尔科夫树模型的图像分割.自动化学报，2009，35(5):498-504.
  159. 侯彪，刘凤，焦李成，包慧东. 基于自适应窗口固定及传播的多尺度纹理图像分割. 电子学报，2009，37(7):1492-1500.
  160. 侯彪，刘佩，焦李成. 基于改进Wedgelet变换的SAR图像边缘检测. 红外与毫米波学报. 2009，28(5): 396-400.
  161. 凤宏晓，侯彪，王爽，焦李成. 基于自适应窗和形状自适应小波变换的SAR图像相干斑抑制. 红外与毫米波学报. 2009，28(3):212-217.
  162. 白静，侯彪，王爽，焦李成，基于提升Directionlet域高斯混合尺度模型SAR图像噪声抑制，计算机学报，2008，31（7）：1234-1241.
  163. Xiangrong Zhang, Biao Hou, Licheng Jiao, Feature Selection for SVMs Ensemble, Journal of Computational Information System, 2006, 2(4): 1385-1390.
  164. 侯彪，刘芳，焦李成. 基于脊波变换的直线特征检测.中国科学E辑.2003, 33(1): 65-73
  165. 侯彪，刘芳，焦李成，基于小波变换的高分辨SAR港口目标自动分割. 红外与毫米波学报. 2002, 21(5): 385-389
会议论文
  1. Yong Wu, Huming Zhu, Lingyun Zhang, Biao Hou, Licheng Jiao. Accelerating Deep Convolutional Neural Network Inference Based on OpenCL. IFIP TC12 ICIS 2022: 98-108.
  2. Zhengxi Guo, Biao Hou, Bo Ren. A Lightweight SAR Ship Detection Network Based on Superpixel Statistical Modeling. IFIP TC12 ICIS 2022: 294-301.
  3. Yang Yang, Jun Li, Biao Hou, Bo Ren, Xiaoming Jiang, Jinkai Cheng, Licheng Jiao. Gaussian Balanced Sampling for End-to-End Pedestrian Detector. IFIP TC12 ICIS 2022: 318-325.
  4. Zhongle Ren, Yiming Lu, Hanxiao Wang, Yu Zhang, Biao Hou. SAR Scene Classification Based on Self-supervised Jigsaw Puzzles. IFIP TC12 ICIS 2022: 334-343.
  5. Biao Hou, Shenxuan Zhou, Xiaoyu Chen, Heng Jiang, Hao Wang. YOLO-Head: An Input Adaptive Neural Network Preprocessor. IFIP TC12 ICIS 2022: 344-351.
  6. Biao Hou, Xiaoyu Chen, Shenxuan Zhou, Heng Jiang, Hao Wang. SR-YOLO: Small Objects Detection Based on Super Resolution. IFIP TC12 ICIS 2022: 352-362.
  7. Huan Zhang, Yingzhi Sun, Yu Liao, Siyuan Xu, Rui Yang, Shuang Wang, Biao Hou, Licheng Jiao. A Transformer-Based Cross-Modal Image-Text Retrieval Method using Feature Decoupling and Reconstruction. IGARSS 2022: 1796-1799.
  8. Huiyuan Wei, Dou Quan, Ruiqi Lei, Baorui Duan, Shuang Wang, Yi Li, Biao Hou, Licheng Jiao. Deep Modality Independent Descriptor Learning for Optical and SAR Image Patch Matching. IGARSS 2022: 1936-1939.
  9. Qi Zhen, Xiangrong Zhang, Zhenyu Li, Biao Hou, Xu Tang, Li Gao, Licheng Jiao. Few-Shot Hyperspectral Image Classification Based on Domain Adaptation of Class Balance. IGARSS 2022: 2255-2258.
  10. Xiangrong Zhang, Xiang Li, Jinliang An, Li Gao, Biao Hou, Chen Li, Natural language description of remote sensing imags based on deep learning. IGARSS2017: 4798-4801.
  11. Biao Hou, Xiaohua Zhang, Dezhao Gong, Shuang Wang, Xiangrong Zhang, Licheng Jiao,  Fast Graph-Based Sar Image Segmentation Via Simple Superpixels. IGARSS 2017:799-802.
  12. Biao Hou, Yuheng Jiang, Bo Ren, Zaidao Wen, Shuang Wang, and Licheng Jiao, Unsupervised Polsar Image Classification Using Boundary-Preserving Region Division And Region-Based Affinity Propagation Clustering. IGARSS, 2016:5103-5106.
  13. Zaidao Wen, Biao Hou, Shuang Wang, and Licheng Jiao. Learning Task-Driven Polarimetric Target Decomposition: A New Perspective. IGARSS 2016:4761-4764.
  14. Hongying Liu, Qiang Min, Chen Sun, Jin Zhao, Shuyuan Yang, Biao Hou, Jie Feng, and   Licheng Jiao. Terrain Classification With Polarimetric SAR Based on Deep Sparse Filtering Network，IGRASS 2016:64-67.
  15. Hongying Liu, Xing Xing, Shigang Wang, Zhixi Feng, Erlei Zhang, Shuyuan Yang, Biao Hou, and Licheng Jiao. Fast Semi–Supervised Classification Based on Parallel Auction Graph for Polarimetric SAR Data. IGRASS 2016:1528-1531.
  16. Xiangrong Zhang, Zeyu Gao, Jinliang An, Yanning Hu, Yangyang Li, Biao Hou. Joint Multi-Feature Hyperspectral Image Classification with Spatial Constraint in Semantic Manifold. IGRASS 2016:481-484.
  17. Biao Hou ，Xiaohuan Luo，Shuang Wang，Licheng Jiao，and Xiangrong Zhang. Polarimetric SAR images Classification Using Deep Belief Networks with Learning Features. IGARSS, 2015:2366-2369.
  18. Yanhe Guo, Shuang Wang, Chenqiong Gao, Danrong Shi, Donghui Zhang, and Biao Hou. Wishart RBM based DBN for polarimetric synthetic radar data classification. IGARSS 2015: 1841-1844.
  19. Hongying Liu, Yikai Wang, Dexiang Zhu, Shuyuan Yang, Shuang Wang, Biao Hou, and  Licheng Jiao. Semi-supervised classification based on anchor-spatial graph for large polarimetric SAR data. IGARSS 2015: 1845-1848.
  20. Xiangrong Zhang, Cai Cheng, Jinliang An, Yaoguo Zheng, Erlei Zhang, and Biao Hou. Sparsity-constrained generalized bilinear model for hyperspectral unmixing. IGARSS 2015: 5055-5058.
  21. Biao Hou, Na Li, Shuang Wang, and Xiangrong Zhang. SAR image segmentation based on random projection and signature frame. IGARSS, 2014: 3726 - 3729.
  22. Xiaojin Hou, Lin Yan, Shuang Wang, Biao Hou. MSTAR image segmentation with multi-phase level set based on probability density model. IGARSS 2014: 1721-1724.
获批专利
  1. 侯彪，容拓拓，焦李成，马文萍，马晶晶，杨淑媛.基于特征提取的光学遥感图像水域分类方法.专利号：CN201910979348.2.授权时间：2023.3.10.
  2. 侯彪，周育榕，焦李成，马文萍，马晶晶，杨淑媛.基于边界框修正算法的遥感图像飞机目标检测方法.专利号：CN201911017055.2.授权时间：2023.3.10.
  3. 侯彪，柳阳飞，焦李成，马文萍，马晶晶，杨淑媛.基于卷积神经网络的光学遥感图像色彩的重建方法.专利号：CN201910979331.7.授权时间：2023.3.10.
  4. 侯彪，项子娟，焦李成，马文萍，马晶晶，杨淑媛.基于多尺度轻量化空洞卷积的光学遥感图像分割方法.专利号：CN201911342809.1.授权时间：2023.3.10.
  5. 侯彪，崔艳雨，焦李成，吴倩.基于深度强化学习的遥感视频遮挡目标跟踪方法.专利号：CN202010887465.9.授权时间：2023.3.10.
  6. 侯彪，焦李成，曹雯潇，马晶晶，马文萍，王爽，白静.基于K-SVD和深度堆栈网络的极化SAR图像分类方法.专利号：CN201810031936.9.授权时间：2022.4.19.
  7. 侯彪，刘佳丽，焦李成，马文萍，马晶晶，杨淑媛.基于感兴趣区块提取的遥感图像舰船检测方法.专利号：CN201911338663.3.授权时间：2022.4.29.
  8. 侯彪，焦李成，张永昌，马晶晶，马文萍，王爽，白静.基于多尺度卷积与特征融合的高分辨SAR地物分类方法.专利号：CN201810032469.1.授权时间：2022.5.17.
  9. 侯彪，焦李成，梁亚敏，马晶晶，马文萍，王爽，白静.基于SAR图像统计分布和DBN的SAR图像分类.专利号：CN201810031937.3.授权时间：2022.5.17.
  10. 侯彪，张瑞涛，焦李成，马晶晶，马文萍，白静.基于FCN图像序列模型的SAR视频目标检测方法.专利号：ZL201810811807.1.授权时间：2021.11.30.
  11. 侯彪，焦李成，田争娇，吴倩，马晶晶，马文萍，白静.基于代价敏感性辅助学习的不平衡极化SAR地物分类方法.专利号：ZL201910198273.4. 授权时间：2021.04.09.
  12. 侯彪，焦李成，林保权，马晶晶，马文萍，王爽，白静.基于加权核范数最小化的极化SAR特征分类方法.专利号：ZL201810031202.0.授权时间：2021.10.29.
  13. 侯彪，周驿怦，焦李成，马晶晶，马文萍，白静.基于重叠切片的遥感视频目标检测方法.专利号：ZL201811246304.0.授权时间：2021.11.09.
  14. 侯彪，焦李成，金晓飞，马晶晶，马文萍，白静.一种基于FPGA加速的机场跑道检测方法.专利号：ZL201811369168.4.授权时间：2021.01.01.
  15. 侯彪，焦李成，马菲，马晶晶，马文萍，白静.一种基于FPGA异构计算的车辆检测方法.专利号：ZL201810866372.0.授权时间：2021.08.17.
  16. 侯彪，焦李成，关娇娇，吴倩，马文萍，白静，马晶晶.一种基于模糊标签语义先验的小样本POlSAR图像分类方法.专利号：ZL201910349436.4.授权时间：2021.07.23.
  17. 侯彪，任仲乐，焦李成，朱浩，赵暐，刘旭，孙其功，马文萍.一种基于目标空间知识和两阶段预测学习的目标检测方法.专利号：ZL201711059887.1.授权时间：2021.07.06.
  18. 侯彪，焦李成，张华，王爽，马晶晶，马文萍，冯婕，张小华. 结合LBP特征图与卷积神经网络的人脸识别方法. 专利号：ZL201710255713.6，授权时间：2020.04.07.
  19. 侯彪，王蓝琦，焦李成，马文萍，马晶晶，杨淑媛. 基于稀疏表示和高斯分布的SAR图像分类方法. 专利号：ZL201810421599.4，授权时间：2020.05.05.
  20. 侯彪，任仲乐，吴倩，焦李成，马晶晶，马文萍，王爽，白静. 基于分布和结构匹配生成对抗网络的SAR图像地物分类方法. 专利号：ZL2018111798206，授权时间：2020.05.29.
  21. 侯彪，焦李成，种毫，马晶晶，马文萍，白静. 一种基于FPGA异构计算的桥梁检测方法. 专利号：ZL201811223077X，授权时间：2020.09.29.
  22. 侯彪，焦李成，李琳，马晶晶，马文萍，白静. 基于强度比和空间结构特征提取的高分辨SAR图像分类方法. 专利号：ZL2019100650873，授权时间：2020.11.03.
  23. 侯彪，焦李成，杨晨，马晶晶，马文萍，王爽，白静. 基于DFIC超像素的PolSAR图像地物分类方法. 专利号：ZL201810073220.5，授权时间：2020.04.07.
  24. 侯彪，焦李成，张华，王爽，马晶晶，马文萍，冯婕，张小华. Maxout多卷积神经网络融合人脸识别方法和系统. 专利号：ZL201710341857.3，授权时间：2020.04.21.
  25. 侯彪，焦李成，郑伟伟，王爽，马晶晶，马文萍，冯婕，张小华. 自适应体散射模型的freeman/特征值分解方法. 专利号：ZL201710328382.4，授权时间：2020.08.04.
  26. 侯彪，焦李成，牟树根，王爽，张向荣，马文萍，马晶晶. 基于收缩自编码器的SAR图像分类方法. 专利号：ZL201610407324.6，授权时间：2019.08.13.
  27. 侯彪，焦李成，赵岐， 王爽，马晶晶，马文萍，冯婕，张小华. 基于证据理论算法的SAR图像中检测建筑物方法. 专利号：ZL201710263958.3，授权时间：2019.10.11.
  28. 侯彪，焦李成，刘胜男，马晶晶，马文萍，王爽，白静. 基于SAR-KAZE特征提取的SAR图像分割方法. 专利号：ZL201810032466.8，授权时间：2019.10.11.
  29. 侯彪，焦李成，于竞竞，王爽，马晶晶，马文萍，冯婕，张小华. 基于共稀疏模型的高分辨SAR图像分类方法. 专利号：ZL 201710329004.8，授权时间：2019.10.25.
  30. 侯彪，焦李成，唐欢，马晶晶，马文萍，王爽，白静. 基于子模字典学习的SAR图像分割方法. 专利号：ZL201810031938.8，授权时间：2019.10.25.
  31. 侯彪，焦李成，侯伟丹，王爽，马晶晶，马文萍，冯婕，张小华. 基于空间信息和深度学习的极化SAR图像分类方法. 专利号：ZL201710311299.6，授权时间：2019.11.26.
  32. 侯彪，焦李成，鞠贵林，王爽，张向荣，马文萍，马晶晶.基于纹理特征和结构相似度的SAR图像质量评估方法. 专利号：ZL201610407766.0， 授权时间：2018.8.31.
  33. 侯彪，焦李成，刘达，姚若玉，马晶晶，马文萍，张涛，刘闯.基于空域混合模型的高分辨SAR图像目标检测方法. 专利号：ZL201510397659.X， 授权时间：2018.12.25.
  34. 侯彪，焦李成，许声红，马晶晶，熊涛，马文萍，刘红英. 基于Gamma分布的异质超像素SAR图像分割方法. 专利号：ZL201510345007.1， 授权时间：2018.3.6.
  35. 侯彪，焦李成，刘小娟，马晶晶，张向荣，马文萍.基于稀疏深度堆栈网络的极化SAR图像分类方法. 专利号：ZL201510508724.1， 授权时间：2018.4.17.
  36. 侯彪，焦李成，刘贺，姚若玉，马晶晶，马文萍. 基于深层特征学习和分水岭的SAR图像分类方法. 专利号：ZL201510254220.1，授权时间：2018.6.15.
  37. 侯彪，焦李成，吕宏昌，马晶晶，张向荣，马文萍，刘红英.基于张量和稀疏自编码器的极化SAR图像分类方法. 专利号：ZL201510523567.1， 授权时间：2018.6.26.
  38. 侯彪，焦李成，寇杏子，王爽，张向荣，马文萍，马晶晶. 结合极化特征和分水岭的极化SAR图像分类方法. 专利号：ZL201410105053.X， 授权时间：2017.01.18.
  39. 侯彪，焦李成，牛志伟，王爽，张向荣，马文萍，马晶晶. 一种基于边缘信息和反卷积的SAR图像超分辨率方法. 专利号：ZL201410070411.8， 授权时间：2017.02.15.
  40. 侯彪，焦李成，李振炜，张向荣，马文萍，王爽，李卫斌.基于BP优化的压缩感知多层ISAR成像方法.专利号：ZL201410383872.0， 授权时间：2017.02.22.
  41. 侯彪，寇宏达，焦李成，王爽，张向荣，马文萍.基于深度神经网络的极化SAR图像分类方法. 专利号：ZL201410319969.5， 2017.04.19.
  42. 侯彪，吴小芳，焦李成，王爽，张向荣，马文萍.基于图和Wishart距离的极化SAR图像分类方法.专利号：ZL201410317435.9， 授权时间：2017.04.19.
  43. 侯彪，焦李成，张寒冰，马晶晶，张向荣，马文萍.基于矩阵填充的稀疏场景下采样SAR成像方法. 专利号：ZL201510524101.3， 授权时间：2017.07.28.
  44. 侯彪，焦李成，龚德钊，王爽，张向荣，马文萍，马晶晶.基于图论和超像素的并行快速SAR图像分割方法.专利号： ZL201310279504.7. 授权时间：  2016.8.10.
  45. 侯彪，焦李成，韩博，王爽，张向荣，马晶晶，马文萍.基于K分布和纹理特征的SAR图像分割方法    .专利号： ZL201310279548.X. 授权时间： 2016.8.10.
  46. 侯彪，焦李成，张文科，白静，王爽，倪玉峰.基于FPGA的USB转多路链路接口电路.专利号：ZL201310374495.X，授权时间： 2016.1.13.
  47. 侯彪，凤宏哲，焦李成，王爽，张向荣，马文萍.基于压缩感知的二维SAR稀疏目标成像方法.专利号：ZL201410317100.7，授权时间：2016.8.17.
  48. 侯彪，焦李成，陈超，王爽，张向荣，马文萍，马晶晶. 基于视觉先验模型的极化SAR图像分类方法.专利号： ZL201410010708.5. 授权时间：2016.11.23.
  49. 侯彪，李博学，赵睿，焦李成，马文萍，马晶晶，张向荣，王爽.基于DSP的车载实时运动目标检测系统及其方法. 专利号：ZL201310031758.7.  授权时间：2016.1.13.
  50. 焦李成，侯彪，李博学，马文萍，马晶晶，张向荣，王爽.基于并行DSP的SAR图像高速处理系统及其方法.专利号：ZL201310047031.8 ，授权时间：2015.11.25.
  51. 侯彪，焦李成，李邵利，王爽，张向荣，马文萍.基于观测向量差的SAR图像纹理分类方法.专利号：ZL201210344066.3 ，授权时间：2015.9.30.
  52. 侯彪，侯小瑾，周宇，焦李成，王爽.张向荣，马文萍，马晶晶.基于FPGA的K近邻分类器.专利号：ZL201210476415.7 ，授权时间：2015.7.15.
  53. 侯彪，侯小瑾，赵睿，焦李成，马文萍，马晶晶，张向荣，王  爽.基于嵌入式DSP的SAR图像实时分割方法.专利号：ZL201310031674.3 ，授权时间：2015.6.17.
  54. 侯彪，马晶晶，陈芊芊，焦李成，张向荣，马文萍.基于Beta算法的多尺度SAR图像降噪方法.专利号：ZL201310030623.9 ，授权时间：2015.6.17.
  55. 侯彪，焦李成，晨曦，王爽，张向荣，马文萍.基于压缩感知的目标重构方法.专利号：ZL201210007428.X，授权时间：2014.7.23.
  56. 侯彪，焦李成，杨伟，张向荣，马文萍，王爽.基于视觉注意机制的图像显著区域检测方法.专利号：ZL201110364499.0，授权时间：2014.8.6.
  57. 侯彪，焦李成，孙慧芳，刘芳，张小华，田小林，公茂果.基于SAR图像局部统计特性的K-SVD相干斑抑制方法.专利号：ZL201110318457.3，授权时间：2014.9.17.
  58. 侯彪，焦李成，白雪，王爽， 钟桦， 张小华， 公茂果， 缑水平.基于Gabor特征的三马尔可夫场SAR图像分割方法. 专利号：ZL 201110354635.8，授权时间：2013.6.26.
  59. 侯彪， 焦李成， 蒋继光， 王爽， 刘芳， 尚荣华.基于稀疏表示的SAR图像相干斑抑制方法. 专利号：ZL 201110346349.7，授权时间：2013.6.26.
  60. 侯彪， 焦李成， 孙慧芳， 刘芳， 张小华， 田小林， 公茂果.基于chelesky分解和近似奇异值分解的稀疏K-SVD噪声抑制方法. 专利号：ZL 201110358675.X，授权时间：2013.6.26.
  61. 侯彪，焦李成，刘瑞清，张向荣，马文萍，王爽. 基于条件随机场和最小距离法的超光谱图像分类方法. 专利号：ZL 201110366472.5，授权时间：2013.9.25.
  62. 侯彪，焦李成，刘瑞清，张向荣，马文萍，王爽. 基于条件随机场的超光谱图像分类方法. 专利号：ZL201110366473.X，授权时间：2013.9.25.
  63. 侯彪，焦李成，江琼花，张向荣，马文萍，王爽. 基于视觉注意的压缩感知图像目标重构方法. 专利号：ZL201210000464.X，授权时间：2013.11.12.
  64. 侯彪，焦李成，范娜，刘芳，马文萍，王爽，杨国辉. 基于显著性的SAR图像机场跑道边缘检测方法. 专利号：ZL201110328330.X，授权时间：2013.12.25.
  65. 焦李成，侯彪，刘娜娜，王爽，刘芳，尚荣华. 基于局部和全局区域信息的水平集SAR图像分割方法. 专利号：ZL201110346512.X，授权时间：2013.10.16.
  66. 焦李成，侯彪，蒋继光，王爽，刘芳，尚荣华. 基于小波域中字典学习的SAR图像相干斑抑制方法. 专利号：ZL201110346313.9，授权时间：2013.8.14.
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