简历：

王威，副研究员。2005年获武汉大学自动化专业学士学位，2011年在中国科学院研究生院获计算机应用技术博士学位。2011年7月加入中国科学院自动化研究所模式识别国家重点实验室。主要研究方向是计算机视觉、模式识别、视觉注意、深度学习等。

研究领域：

计算机视觉、模式识别和机器学习

学术成就：

1. Yan Huang, Wei Wang, Liang Wang, “Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution,” Proc. Advances in Neural Information Processing Systems, pp. 235-243, December 2015, Quebec, Canada. 
2. Wei Wang, Yan Huang, Yizhou Wang and Liang Wang, “Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition Workshops, pp. 496-503, June 2014, Columbus, USA.（Best Paper） 
3. Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang and Yuan Yao, “Simulating Human Saccadic Scanpath on Natural Images,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 441-448, June 2011, Colorado Springs, USA. 4. Wei Wang, Yizhou Wang, Qingming Huang and Wen Gao, “Measuring Visual Saliency by Site Entropy Rate,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 2368-2375, June 2010, San Francisco, USA. 
5. Wei Wang, Yizhou Wang, Luoshe Huo, Qingming Huang and Wen Gao, “Symmetric Segment-Based Stereo Matching for Motion Blurred Images with Illumination Variations,” Proc. International Conference on Pattern Recognition, pp.1-4, December 2008.