Scaling the Kernel Function to Improve Performance of the Support Vector Machine. - Peter Williams; Sheng Li 002; Jianfeng Feng; Si Wu 001 (ISNN (1), 2005)

On the variability of cortical neural responses: a statistical interpretation. - Sheng Li 002; Si Wu 001 (Neurocomputing, 2005)

Robust coding and its implications on neural information processing. - Sheng Li 002 (2006)

A Geometrical Method to Improve Performance of the Support Vector Machine. - Peter Williams; Sheng Li 002; Jianfeng Feng; Si Wu 001 (IEEE Trans. Neural Networks, 2007)

Learning Shapes the Representation of Visual Categories in the Aging Human Brain. - Stephen D. Mayhew; Sheng Li 002; Joshua K. Storrar; Kamen A. Tsvetanov; Zoe Kourtzi (J. Cogn. Neurosci., 2010)

Behavior-constrained support vector machines for fMRI data analysis. - Danmei Chen; Sheng Li 002; Zoe Kourtzi; Si Wu 001 (IEEE Trans. Neural Networks, 2010)

Sharpened cortical tuning and enhanced cortico-cortical communication contribute to the long-term neural mechanisms of visual motion perceptual learning. - Nihong Chen; Taiyong Bi; Tiangang Zhou; Sheng Li 002; Zili Liu; Fang Fang 003 (NeuroImage, 2015)