PHD Student Information and Communication Engineering, Department of Electronics and Information Engineering, Beihang University, Beijing, 100191, China Pattern Recognition and Artificial Intelligence Group (cv516)，Advisor: Qi Zhao Email: lyushuchang@buaa.edu.cn [Google Scholar] [GitHub][English Page]

Research Interest

Artificial Intelligence, Computer Vision, Deep Learning: Research on compact CNN design, Remote Sensing Scene Image Recognition, Medical Image understanding, Big Data and Knowledge Graph, Transfer Learning and Domain Adaptation，Image Processing Application on Embedded Devices

Education/Job

SenseTime (2019.1 ~ 2020.4)

M.S. Beihang University (2016.9 ~ 2019.1)

B.Sc. Shanghai University (2012.9 ~ 2016.7)

Publications

• MGML: Multigranularity Multilevel Feature Ensemble Network for Remote Sensing Scene Classification
  Qi Zhao, Shuchang Lyu, Yuewen Li, Yujing Ma and Lijiang Chen
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. [SCI Q1 IF:14.255]

• Make Baseline Model Stronger: Embedded Knowledge Distillation in Weight-Sharing Based Ensemble Network
  Shuchang Lyu, Qi Zhao, Yujing Ma and Lijiang Chen
  British Machine Vision Conference (BMVC), 2021. [CCF C]

• Embedded Knowledge Distillation in Depth-level Dynamic Neural Network
  Qi Zhao, Shuchang Lyu, Zhiwei Zhang, Ting-Bing Xu and Guangliang Cheng
  IEEE Conference on Computer Vision and Pattern Recognition Workshops CVPR Workshops. [CCF A oral]

• TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
  Xingkui Zhu*, Shuchang Lyu*, Xu Wang and Qi Zhao
  International Conference on Computer Vision Workshops ICCV Workshops, 2021. [CCF A oral]

• A Similarity Distillation Guided Feature Refinement Network for Few-Shot Semantic Segmentation
  Shuchang Lyu, Binghao Liu, Lijiang Chen and Qi Zhao
  IEEE International Conference on Image Processing (ICIP), 2022. Accepted, [CCF C]

• A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation
  Qi Zhao, Shuchang Lyu, Wenpei Bai, Linghan Cai, Binghao Liu, Meijing Wu, Xiubo Sang, Min Yang and Lijiang Chen
  IEEE Transactions on Medical Imaging (TMI), 2022. submitted, [SCI Q1, IF: 11.037]

• Deep Similarity Fusion Networks for One-Shot Semantic Segmentation
  Shuchang Lyu, Guangliang Cheng, Qimin Ding
  Asian Conference on Pattern Recognition (ACPR), 2019. [CCF C]

• Multiactivation Pooling Method in Convolutional Neural Networks for Image Recognition
  Qi Zhao, Shuchang Lyu, Boxue Zhang, Wenquan Feng
  Wireless Communications and Mobile Computing (WCMC), 2018. [SCI Q3 IF:2.146]

Competitions

• 2021, ICCV Workshop：“Vision Meets Drones: A Challenge (VisDrone 2021)”, Object Detection Track; Shuchang Lyu, Xingkui Zhu, Xu Wang; 4/113

• 2020, “Artificial Intelligence Remote Sensing Interpretation Competition”, Remote Sensing Scene Classification; Shuchang Lyu, Xu Wang; 10/83

  
  

Patents

• Symmetric cascade model and non-random evaluation method for one-shot semantic segmentation
  Shuchang Lyu, Guangliang Cheng, Jianping Shi
  China Invention Patent, 201911054823.1

• Similarity feature fusion model for one-shot semantic segmentation
  Shuchang Lyu, Guangliang Cheng, Jianping Shi
  China Invention Patent, 201911063316.4

• Deep dynamic network method embedded knowledge distillation
  Shuchang Lyu, Guangliang Cheng, Jianping Shi
  China Invention Patent, 201911090143.5

Projects

• Integrated meta learning activity recognition method based on compact visual perception convolutional neural network
  Leader
  National Natural Science Foundation of China，2020 ~ 2024
  

• Beijing Hospitals Authority'Ascent Plan
  Leader
  Beihang University and Beijing Shijitan Hospital, Capital Medical University Cooperation projects，2022~2024