3D deep learning for perception and modeling 

Multi-scale dynamic capture for high quality digital humans 

Privacy-aware geo-marketplaces 

Alleviating the noisy data problem using restricted Boltzmann machines 

Hyperspectral and multispectral optical bioluminescence and fluorescence tomography in small animal imaging 

Scalable dynamic digital humans 

Reconstructing the literary canon: an innovation study 

Multivariate statistical analysis of magnetoencephalography data 

Integrative analysis of gene expression and phenotype data 

Cyberinfrastructure management for dynamic data driven applications 

USC Computer Science Technical Reports, no. 739 (2001) 

3D urban modeling from city-scale aerial LiDAR data 

Correction, coregistration and connectivity analysis of multi-contrast brain MRI 

Designing data-effective machine learning pipeline in application to physics and material science 

Data-driven methods for increasing real-time observability in smart distribution grids 

New analysis methods for microarray data 

USC Computer Science Technical Reports, no. 826 (2004) 

Unsupervised domain adaptation with private data 

Three-dimensional reconstruction from scattered data using triangular B-splines. 

Data-driven multi-fidelity modeling for physical systems 

Deep learning models for temporal data in health care 

USC Computer Science Technical Reports, no. 740 (2001) 

Data discovery on liquefaction-induced lateral ground deformations 

Human motion data analysis and compression using graph based techniques 

Efficient and accurate object extraction from scanned maps by leveraging external data and learning representative context