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Research
Research Interests:
Recently I am interested in the behavior pattern inference for social networks.
My previous work includes distributed signal processing in Wireless Sensor
Networks (WSNs) and sparsity-embracing multiuser detection.
Project and Publications in Progress
1. Sparse Regularized Total Leat-Squares
H. Zhu, G. Leus, and G. B. Giannakis, ``Sparsity-Cognizant
Total Least-Squares for Perturbed Compressive Sampling,'' IEEE Transactions
on Signal Processing, submitted August 2010; revised January 2010.
(Matlab codes)
H. Zhu, G. B. Giannakis, and G. Leus,
``Weighted and structured sparse total least-squares for perturbed compressive
sampling,''
Proc. of Intl. Conf. on Acoustics, Speech and Signal Processing,
Prague, Czech Republic, May 22-27, 2011.
H. Zhu, G. Leus, and G. B. Giannakis, ``Sparse Regularized Total Leat-Squares for Sensing Applications,''
Proc. of Wrkshp. on Signal Processing Advances in Wireless Communications, Marrakech, Marocco, June 20 - 23, 2010.
2. Sparsity-cognizant Behavior Pattern Inference for Social Networks
H. Zhu, G. Mateos, G. B. Giannakis, N. D.
Sidiropoulos, and A. Banerjee, ``Sparsity-Cognizant Overlapping Co-Clustering
for Behavior Inference in Social Networks,'' Proc. of Intl. Conf. on
Acoustics, Speech and Signal Processing, Dallas, Texas, March 14-19, 2010.
3. Sparsity-embracing Multiuser Detection for CDMA systems
H. Zhu and G. B. Giannakis, ``Exploiting Sparse User Activity in Multiuser
Detection,'' IEEE Transactions on Communications, vol. 59, no. 2, pp.,
February 2011 (to appear).
H. Zhu and G. B. Giannakis, ``Sparsity-Embracing Multiuser Detection for
CDMA Systems with Low Activity Factor,'' Proc. of Intl. Symp. on Info. Theory,
Seoul, Korea, June 28 - July 3, 2009.
4.
Distributed Consensus-based In-network Detection in WSNs
H. Zhu, A. Cano, and G. B. Giannakis, ``Distributed Consensus-Based
Demodulation: Algorithms and Error Analysis,'' IEEE Transactions on Wireless
Communications, vol. 9, no. 6, pp. 2044-2054, June 2010.
H. Zhu, G. B. Giannakis, and A. Cano, ``Distributed
In-Network Channel Decoding,'' IEEE Transactions on Signal Processing,
vol. 57, no. 10, pp. 3970-3983, October 2009.
H. Zhu, A. Cano and G. B. Giannakis,
``Distributed Equalization and Decoding using Wireless Sensor Networks,''
Proc. of 42nd Asilomar Conf. on Signals, Systems, and Computers, Pacific
Grove, CA, Oct. 26-29, 2008.
H. Zhu, A. Cano and G. B. Giannakis, ``Distributed
In-Network Channel Decoding Using Consensus on Log-Likelihood Ratio Averages,''
Proc. of Conf. on Info. Sciences and Systems, Princeton Univ., NJ, March 19-21, 2008.
H. Zhu, A. Cano, and G. B. Giannakis, ``Consensus-Based
Distributed MIMO Decoding Using Semi-Definite Relaxation,'' Proc. of 2nd
Intl. Workshop on Comp. Advances in Multi-Sensor Adapt. Proc., St. Thomas, U.S. Virgin
Islands, Dec. 12-14, 2007.
5. Distributed Kalman Tracking using Dimensionality Reduction in WSNs
H. Zhu, I. Schizas and G. B. Giannakis, ``Power-Efficient Dimensionality
Reduction for Distributed Channel-Aware Kalman Tracking Using Wireless Sensor
Networks,'' IEEE Transactions on Signal Processing, vol. 57, no. 8, pp. 3193 -
3207, August 2009.
H. Zhu, I. Schizas and G. B. Giannakis, ``Power-Efficient Dimensionality
Reduction for Distributed Channel-Aware Kalman Tracking Using Wireless Sensor
Networks,'' Proc. of Wrkshp. on Statistical Signal Processing, Madison,
WI, August 26-29, 2007.
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