饶强，男

最高学位：硕士研究生，中科院自动化所

email：raoqiangwill@163.com

2014.09 - 2017.06：中国科学院自动化研究所(北京)，模式识别与智能系统专业，工学硕士学位 研究方向:计算机视觉、机器学习、深度学习等

2010.09 - 2014.07： 西安交通大学，自动化专业，工学学士学位

研究方向

大规模神经元自动化重建，图像分割，识别等

1. An automated pipeline for mitochondrial segmentation on atum-sem stacks.W Li, H Deng, Q Rao, Q Xie, X Chen, H Han.Journal of Bioinformatics and Computational Biology 15 (03), 1750015.

2. Segmentation of mitochondria based on SEM images.W Li, Q Rao, X Chen, G Li, D Zhang.2016 IEEE International Conference on Mechatronics and Automation, 1953-1958.

3. Deep learning and shapes similarity for joint segmentation and tracing single neurons in SEM images.Q Rao, C Xiao, H Han, X Chen, L Shen, Q Xie.Medical Imaging 2017: Image Processing 10133, 1013329 3 2017.

4. 3D reconstruction of synapses with deep learning based on EM Images.C Xiao, Q Rao, D Zhang, X Chen, H Han, Q Xie.Medical Imaging 2017: Physics of Medical Imaging 10132, 101324N.

5. Regularization and Iterative Initialization of Softmax for Fast Training of Convolutional Neural Networks.Q Rao, B Yu, K He, B Feng.2019 International Joint Conference on Neural Networks (IJCNN), 1-8.

6. Knot Magnify Loss for Face Recognition.Q Rao, B Yu, Y Yang, B Feng.2018 25th IEEE International Conference on Image Processing (ICIP), 2396-2400.

7. Microscopic neural image registration based on the structure of mitochondria.H Cao, H Han, Q Rao, C Xiao, X Chen.Medical Imaging 2017: Image Processing 10133, 1013325.