Statistical enhancement methods for immersive audio environments and compressed audio 

Molecular simulation of the structure, transport, and separation of fluid mixtures in nanporous membranes under subcritical and supercritical conditions 

Statistical learning in High Dimensions: Interpretability, inference and applications 

Nonlinear filtering for systems with actively changing parameters: Algorithms and their performance analysis in application to target tracking 

USC Computer Science Technical Reports, no. 946 (2014) 

Statistical models of sequencing error and algorithms of polymorphism detection 

Towards tractable parameter -free statistical learning 

Noise-robust spectro-temporal acoustic signature recognition using nonlinear Hebbian learning 

Sharpening the edge of tools for microbial diversity analysis 

etd-WangKejia-5020.pdf 

High-dimensional magnetic resonance imaging of microstructure 

A study of unsupervised speaker indexing 

High-sensitivity multidimensional photobleaching velocimetry 

Comprehensive uncertainty quantification in composites manufacturing processes 

New methods for carotid MRI 

Towards social virtual listeners: computational models of human nonverbal behaviors 

Signal processing methods for brain connectivity 

Discrete-synapse recurrent neural network for nonlinear system modeling and seismic signal classification 

Catalytic methane ignition over freely-suspended palladium nanoparticles 

Information theoretic measures for PET image reconstruction and non-rigid image registration 

Flame characteristics in quasi-2D channels: stability, rates and scaling 

Molecular simulation of the structure of, and transport and separation of gaseous mixtures in carbon molecular sieve membranes 

Performance prediction, state estimation and production optimization of a landfill 

Sequence detection and parameter estimation over the wireless multichannel based on fractional and higher order statistics 

Diffusion MRI white matter tractography: estimation of multiple fibers per voxel using independent component analysis