个人简介
工学博士，2002年至今任教于北京航空航天大学电子信息工程学院，博士生导师。长期从事信号采集与处理、图像识别、人工智能等相关理论和关键技术研究及模拟电子电路的教学工作。目前主要的研究方向为智能图像处理、空天地海大数据处理、深度学习、机器视觉等。围绕研究方向，开展国家自然科学基金、航空科学基金等项目的研究。获部级奖励2项。先后在英国曼彻斯特大学及美国匹兹堡大学进行访问研究。在国内外知名期刊与会议已发表论文70余篇，授权发明专利20余项。是国家教学团队和国家首届一流本科课程“电子电路1”核心成员。校研究生精品国际引智课程“编码理论”负责人，教学成果显著。出版专著1部。
近期论文
查看导师新发文章
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Qi Zhao, Xu Wang, Shuchang Lyu, Binghao Liu, Yifan Yang, A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval[J]. Pattern Recognition, 128:108618, 2022. (PR, SCI Q1, IF: 8.518)
Yuewen Li, Wenquan Feng, Shuchang Lyu, Qi Zhao, Feature reconstruction and metric based network for few-shot object detection, Computer Vision and Image Understanding, 2022, 103600, ISSN 1077-3142, https://doi-org-443.e2.buaa.edu.cn/10.1016/j.cviu.2022.103600. (CVIU, SCI Q1, IF: 4.866)
Shuchang Lyu, Binghao Liu, Qi Zhao, Yujing Ma, Lijiang Chen, A Similarity Distillation Guided Feature Refinement Network for Few-shot Semantic Segmentation[C]. International Conference on Image Processing, pp. 666-670, 2022. (ICIP)
Linghan Cai, Meijing Wu, Lijiang Chen, Wenpei Bai, Min Yang, Shuchang Lyu, Qi Zhao, Using Guided Self-Attention with Local Information for Polyp Segmentation. Medical Image Computing and Computer Assisted Interventions, pp: 629-638, 2022. (MICCAI)
Yuewwen li, Binghao Liu, Shuchang Lyu, lijiang chen, Qi Zhao and Wenquan Feng, ML-FDA: Meta-Learning via Feature Distribution Alignment for Few-Shot Learning[C], IEEE International Conference on Visual Communications and Image Processing, 2022. ( VCIP, oral)
Qi Zhao, Shuchang. Lyu, Yuewen. Li, Yujing. Ma and Lijiang. Chen, MGML: Multigranularity Multilevel Feature Ensemble Network for Remote Sensing Scene Classification[J], IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3106391, 2021. (TNNLS, SCI Q1, IF: 14.255)
Qi Zhao, Yujing Ma, Shuchang Lyu, Lijiang Chen, Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021. (TGRS, SCI Q1, IF:8.125)
Qi Zhao, Shuchang Lyu, Zhiwei Zhang, Ting-Bing Xu, Guangliang Cheng, Embedded Knowledge Distillation in Depth-level Dynamic Neural Network[C], IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021. (CVPR Workshop, oral, http://sites.google.com/view/cvpr2021-dnetcv)
Xingkui Zhu*, Shuchang Lyu*, Xu Wang, Qi Zhao, TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios[C]. International Conference on Computer Vision (ICCV) Workshops, 2021. (ICCV Workshop, oral)
Shuchang Lyu, Qi Zhao, Yujing Ma, Lijiang Chen, Make Baseline Model Stronger: Embedded Knowledge Distillation in Weight-Sharing Based Ensemble Network[C]. British Machine Vision Conference, 2021. (BMVC)
Qi Zhao, Jiahui Liu, Yuewen Li, et al. Semantic Segmentation with Attention Mechanism for Remote Sensing Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, pp(99):1-13. (TGRS, SCI Q1, IF:8.125)
Qi Zhao, Nauman Raoof, Shuchang Lyu, et al, RSNet: A Compact Relative Squeezing Net for Image Recognition[C], IEEE International Conference on Visual Communications and Image Processing (VCIP), pp. 1-4, doi: 10.1109/VCIP47243.2019.8966024, 2019. (VCIP, oral presentation)
Qi Zhao, Jiahui Liu, Boxue Zhang, Shuchang Lyu, Interpretable Relative Squeezing Bottleneck Design for Compact convolutional neural networks Model[J], Image and Vision Computing (IVC), 89:276-288, 2019. (IVC, SCI Q2, IF: 3.86)
Qi Zhao, Boxue Zhang, Shuchang Lyu et al., A CNN-SIFT Hybrid Pedestrian Navigation Method based on First-Person Vision[J], Remote Sensing, 10(8), 1229, doi: https://doi-org-443.e2.buaa.edu.cn/10.3390/rs10081229, 2018. (RS, SCI Q1, IF:5.349)
Boxue Zhang, Qi Zhao, Wenquan Feng, Shuchang Lyu, Alpha-MEX: A Smarter Global Pooling Method for Convolutional Neural Networks[J], Neurocomputing, 321:36-48, 2018. (Neurocomputing, SCI Q1, IF: 5.779)
Qi Zhao, Shuchang Lyu, Boxue Zhang, Wenquan Feng, Multi-activation Pooling Method in Convolutional Neural Networks for Image Recognition[J], Wireless Communications and Mobile Computing, Article ID 8196906, 2018. (WCMC, SCI Q3, IF:2.336)
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