My background is in Computer Vision and Machine Learning, with specific interests in learning transformation-equivariant or invariant feature representations for various recognition tasks. Prior to joining NEOLab, I was a research assistant in Open Lab, Newcastle University. 

• Wang S, Guan Y, Shao L. Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. IEEE Transactions on Image Processing 2020, 29, 5396-5407.
• Wang S, Ren Y, Parr G, Guan Y, Shao L. Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. IEEE Transactions on Geoscience and Remote Sensing 2021, 59(8), 6549-6561.