Lichen Liang, Ph.D.
Affiliations: | 2007 | Electrical Engineering | University of Minnesota, Twin Cities, Minneapolis, MN |
Area:
Electronics and Electrical Engineering, Computer ScienceGoogle:
"Lichen Liang"Parents
Sign in to add mentorVladimir Cherkassky | grad student | 2007 | UMN | |
(Application and development of new learning methodologies for fMRI data analysis.) |
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Publications
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Liang L, Grauman K. (2014) Beyond comparing image pairs: Setwise active learning for relative attributes Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 208-215 |
Liang L, Cai F, Cherkassky V. (2009) Predictive learning with structured (grouped) data. Neural Networks : the Official Journal of the International Neural Network Society. 22: 766-73 |
Zhang J, Anderson JR, Liang L, et al. (2009) Evaluation and optimization of fMRI single-subject processing pipelines with NPAIRS and second-level CVA. Magnetic Resonance Imaging. 27: 264-78 |
Cherkassky V, Cai F, Liang L. (2009) Predictive learning with sparse heterogeneous data Proceedings of the International Joint Conference On Neural Networks. 544-551 |
Zhang J, Liang L, Anderson JR, et al. (2008) A Java-based fMRI processing pipeline evaluation system for assessment of univariate general linear model and multivariate canonical variate analysis-based pipelines. Neuroinformatics. 6: 123-34 |
Zhang J, Liang L, Anderson JR, et al. (2008) Evaluation and comparison of GLM- and CVA-based fMRI processing pipelines with Java-based fMRI processing pipeline evaluation system. Neuroimage. 41: 1242-52 |
Liang L, Cherkassky V. (2008) Connection between SVM+ and multi-task learning Proceedings of the International Joint Conference On Neural Networks. 2048-2054 |
Liang L, Cherkassky V. (2007) Learning using structured data: Application to fMRI data analysis Ieee International Conference On Neural Networks - Conference Proceedings. 495-499 |
Liang L, Cherkassky V, Rottenberg DA. (2006) Spatial SVM for feature selection and fMRI activation detection Ieee International Conference On Neural Networks - Conference Proceedings. 1463-1469 |