This is my old homepage.

My new homepage is:

https://sites.google.com/site/researchbyzhang/

Zhilin (Zorro) Zhang

Ph.D Candidate

Department of Electrical & Computer Engineering

University of California, San Diego

z4zhang(at)ucsd.edu (only English)

zhangzlacademy(at)gmail.com (OK for Chinese and English)

My research fields include:

Sparse Signal Recovery/Compressed Sensing,

Bayesian Computation (Sparse Bayesian Learning, Bayesian Spatiotemporal Modelling)

Neuroimaging (EEG/MEG Source Localization, fMRI Data Analysis)

Independent Component Analysis

Computational and Cognitive Neuroscience

Currently I focus on sparse signal recovery/compressed sensing with application to neuroimaging. I have derived various spatiotemporal sparse Bayesian learning (SBL) models, such that the resulting algorithms can effectively explore and exploit spatiotemporal correlation structure in signals, instead of merely exploiting sparsity. Particularly, I have derived:

1. T-MSBL/T-SBL and Robust-TMSBL algorithms for temporally correlated signals;

2.The Block SBL framework and associated various algorithms for spatially correlated signals and non-sparse signals;

3. Algorithms for time-varying structured signals;

4. Algorithms for signals with dynamical spatiotemporal structure and other complex structure.

All of them have better performance than most, if not all, existing algorithms in corresponding models, and show great promise in various applications,

telemonitoring via wireless body-area networks, multi-task learning for feature extraction, brain-computer interface (BCI), face recognition, and earthquake detection.

Click here to see some of the publications/patents, and click here to download associated Matlab codes.