CNEL Alumnus: Weifeng Liu


Former student webpage:
About Me

My name is Weifeng Liu, a.k.a. Aaron, from Shanghai China. I am currently pursuing my PH.D. under the supervision of Dr. Principe.
Some working experiences include video compression (H.264), satellite communication (designer and DSP programmer), wireless communication (Turbo HARQ) in SJTU and Bell Labs(Shanghai).
 
My Research Interests

Adaptive filtering
Digital Signal Processing
Machine learning
Data mining
 
Research Goals

understanding kernel methods;
nonlinear signal processing;
Information theoretic learning
Picture
Links

 
CNEL Papers
Dissertation
1Liu, Weifeng,"Adaptive filtering in reproducing kernel Hilbert spaces", Aug. 2008, University of Florida.(author PDF)
 
Journal Papers
1Weifeng Liu, Il (Memming) Park , Yiwen Wang, Jose C. Principe, "Extended kernel recursive least squares algorithm", Trans. on Signal Processing, Vol. 57, No. 10, pp. 3801-3814, Oct. 2009 (author PDF)
2Weifeng Liu, Student Member, IEEE, Puskal P. Pokharel, Student Member, IEEE, and Jose C. Principe, Fellow, IEEE, "The Kernel Least-Mean-Square Algorithm", Trans. on Signal Processing, Vol. 56, No. , pp. 543-554, Feb. 2008 (author PDF)
3Weifeng Liu, P.P.Pokharel, Jose C. Principe, "Kernel Least Mean Square Algorithm", Trans. on Signal Processing, Vol. 56, No. 2, pp. 543-554, 2008 (author PDF)
4W. Liu, P. Pokharel, J. Principe, "Correntropy: Properties and Applications in Non-Gaussian Signal Processing", Trans. on Signal Processing, Vol. 55, No. 11, pp. 5286-5298, Nov. 2007,DOI:10.1109/TSP.2007.896065 (author PDF)
 
Conference Papers
1Weifeng Liu, P. Pokharel, J. Principe, "Recursively Adapted Radial Basis Function Networks and its Relationship to Resource Allocating Networks and Online Kernel Learning," Intl. Conf. on Machine Learning.(Submitted)
2Weifeng Liu, P. Pokharel, J. Principe, "Kernel LMS as Solving A Lower Triangular Linear System," Intl. Joint Conf. on Neural Networks.(Submitted)
3Weifeng Liu, P. Pokharel, J. Principe, "A New RKHS for Machine Learning and Statistical Signal Processing," Neural Information Processing Systems.(Submitted)
4Weifeng Liu, P. P. Pokharel, J. C. Principe, "Correntropy: A Localized Similarity Measure," Intl. Joint Conf. on Neural Networks.(Accepted) (author PDF)
5Weifeng Liu, P. Pokharel, J. Principe, "A NEW INFORMATION THEORETIC MEASURE OF PDF SYMMETRY," Intl. Conf. on Acoustics, Speech, and Signal Processing.(Accepted) (author PDF)
6Dongliang Duan, Weifeng Liu, Pengwen Chen, Murali Rao and Jose C. Principe, "Variance and Bias Analysis of Information Potential and Symmetric Information Potential," IEEE Int. Workshop on Machine Learning for Signal Processing.(Accepted) (author PDF)
7Wei-Feng Liu, Puskal P. Pokharel, Jose C. Principe, "Recursively Adapted Radial Basis Function Networks and its Relationship to Resource Allocating Networks and Online Kernel Learning," IEEE Int. Workshop on Machine Learning for Signal Processing.(Accepted) (author PDF)
8W. Liu, P. Pokharel, J. Principe, "Error Engropy, Correntropy, and M-Estimation", IEEE Int. Workshop on Machine Learning for Signal Processing, pp. 179-184, July 2006 (author PDF)
 

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