Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth.

This blog reports latest progresses in
(1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home
(2) Sparse Signal Recovery and Compressed Sensing of Signals by Exploiting Spatiotemporal Structures
(3) My Works


Sunday, May 27, 2012

New Papers on Sparse Bayesian Learning (SBL)

I was super busy these days, and I am sorry that I have not updated my blog for a long time. Finally, I can find some time to write some things.


First, I've uploaded our CVPR 2012 paper on my website. I will upload the code tomorrow.

Jing Wan*, Zhilin Zhang*, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen, Sparse Bayesian Multi-Task Learning for Predicting Cognitive Outcomes from Neuroimaging Measures in Alzheimer's Diseas, CVPR 2012 (*equal contribution)


I've uploaded my work on wireless telemonitoring of fetal ECG using compressed sensing. I planed to release the code once I have finally tested the code and optimized it. But since I listed the paper on my homepage, I received many emails asking for the code (Wow, it seems that many people are interested in telemonitoring/BCI, and are curious how compressed sensing is helpful to this field). So I am going to release the code of debug version tomorrow:

Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao, Low Energy Wireless Body-Area Networks for Fetal ECG Telemonitoring via the Framework of Block Sparse Bayesian Learning, submitted to IEEE Trans. on Biomedical Engineering


We have an invited review paper on sparse Bayesian learning for structured signals. This paper reviewed our lab's work on SBL. We also hoped to include all the interesting SBL papers for structured signals. But since this is a short paper, we had to select limited papers.

Bhaskar D. Rao, Zhilin Zhang, Yuzhe Jin, Sparse Signal Recovery in the Presence of Intra-Vector and Inter-Vector Correlation, International Conference on Signal Processing and Communications (SPCOM 2012)


I (and my friend, Lei, together) was also invited to write a review paper on SBL for a Chinese journal. So, I posted my part in my homepage, which can be downloaded here: http://dsp.ucsd.edu/~zhilin/papers/SBL_introduction.pdf. I hope this short review can give Chinese people a bird-eye on my work on SBL.


Finally, I was selected to attend the Doctoral Consortium of CVPR 2012. I will have a  poster to present all my work on SBL. I am eager to see you and receive your comments.









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