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学术论文

 [最近期刊论文]

  1. Hongying Liu, Tianwen Zhu, Fanhua Shang*, Yuanyuan Liu, Derui Lv, Shuyuan Yang, Deep Fuzzy Graph Convolutional Networks for PolSAR Imagery Pixel-wise ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, Vol.14, 504-514. 
  2. Hongying Liu, Fanhua Shang*, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao, Sparse Manifold Regularized Neural Networks for Polarimetric SAR Terrain Classification, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(8), 2162-2388PDF 2019 IF:11.683  
  3. 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), 1593-1607 (DOI: 10.3390/rs12101593). PDF2019 IF:4.118
  4. Hongying Liu*, Feixiang Wang, Shuyuan Yang, Biao Hou, Licheng Jiao, Ri Yang, Fast Semi-supervised Classification Using Histogram-based Density Estimation for Large-scale Polarimetric SAR Data, IEEE Geoscience and Remote Sensing Letters, 2019, 16(12), 1844-1848. 2019 IF:3.534
  5. Hongying Liu*, Zhi Wang, Fanhua Shang*, Shuyuan Yang, Shuiping Gou, Licheng Jiao, Semi-supervised Tensorial Locally Linear Embedding for Feature Extraction using PolSAR Data, IEEE Journal of Selected Topics in Signal Processing, 2018, 12(6), 1476-1490. (WOS:000454221700028) 2019 IF:6.688
  6. Fanhua Shang, Kaiwen Zhou, Hongying Liu*, James Cheng, Ivor Tsang, Lijun Zhang, Dacheng Tao, Jiao Licheng. VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning, IEEE Transactions on Knowledge and Data Engineering, 2018. 2020,3(1),188-202. CCFA类期刊  2019 IF:3.857
  7. Hongying Liu*, Shuyuan Yang, Shuiping Gou, Shuai Liu, Licheng Jiao, Terrain Classification based on Spatial Multi-attribute Graph using Polarimetric SAR Data, Applied Soft Computing, 2018,Volume 68, July, 24-38.(WOS:000433155300003) 2019 IF:4.873
  8. Hongying Liu, Shuyuan Yang*, Shuiping Gou, Puhua Chen, Yikai Wang, and Licheng Jiao, Fast Classification for Large Polarimetric SAR Data based on Refined Spatial-anchor Graph, IEEE Geoscience and Remote Sensing Letters, 2017, 14(9), 1589-1593. (WOS: 000408765900034) 2019 IF:3.534
  9. Hongying Liu, Shuyuan Yang*, Shuiping Gou, Dexiang Zhu, Rongfang Wang, and Licheng Jiao, Polarimetric SAR Feature Extraction with Neighborhood Preservation-based Deep Learning, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(4) : 1456-1466. (WOS:000398948400018) 2017 IF:2.777
  10. Hongying Liu*, Dexiang Zhu, Shuyuan Yang, Biao Hou, Shuiping Gou, Tao Xiong and Licheng Jiao, Semi-supervised 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. (WOS:000384905500015) 2017 IF:2.777
  11. Hongying Liu*, Yikai Wang, Shuyuan Yang, Shuang Wang, Jie Feng, and Licheng Jiao, Large Polarimetric SAR Data Semi-supervised Classification with Spatial-anchor Graph, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (4), 1439-1458. IF:3.026 (DOI: 10.1109/JSTARS.2016.2518675) 

[最近会议论文]

  1. Hongying Liu, Ruyi Luo, et al, Progressive Semantic Matching for Video-Text Retrieval. Proceedings of the 29th ACM Multimedia (ACM MM ) Conference, 2021. (CCF A)
  2. Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, et al, Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)
  3. Hongying Liu, Zhongshu Wang, Fanhua Shang*, et al, A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images, IEEE International Conference on Data Mining (ICDM) Workshop, Nov 8, 2019, Nov 8, pp. 165-171, 2019, Beijing, China, 最佳论文奖.
  4. Hongying Liu, Xiongjie Shen, Fanhua Shang*, et al, CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation, 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop, Oct 17, Shen Zhen, China, pp. 102–111, 2019.