Selected Papers by Topics
My Google Citation Profile:
http://scholar.google.com/citations?user=tAK5l1IAAAAJ
Preprint
[P-I].
L. Zhang, M. Yang, X. Feng, Y. Ma and D. Zhang, “Collaborative Representation
based Classification for Face Recognition,” arXiv:1204.2358. (paper)
(This
paper is a substantial extension of our ICCV11 paper “Sparse Representation or Collaborative Representation: Which
Helps Face Recognition?”. The
role of sparsity and regularization in face representation and classification
is more comprehensively analyzed.)
[P-II].
K. Zhang, L. Zhang, H. Song, and
D. Zhang, “Re-initialization Free Level Set Evolution via Reaction Diffusion.” arXiv:1112.1496. (paper)
[P-III].
M. Yang, L. Zhang, J. Yang and D.
Zhang, “Regularized Robust Coding for
Face Recognition.” arXiv:1202.4207. (paper)
(This
paper is a substantial extension of our CVPR11 paper “Robust sparse coding
for face recognition”.)
[P-IV].
B. Peng, L. Zhang and D. Zhang, “A Survey of
Graph Theoretical Approaches to Image Segmentation.” (paper).
Newly accepted:
[1]
Lin Zhang, Lei Zhang, X. Mou and D.
Zhang, “A Comprehensive Evaluation of Full Reference Image Quality Assessment
Algorithms,” in ICIP 2012. (paper)
[2]
M. Yang, L. Zhang, D. Zhang and S. Wang,
“Relaxed Collaborative
Representation for Pattern Classification,” in CVPR 2012. (paper) (code will be available soon)
[3]
S. Wang, L. Zhang, Y.
Liang and Q. Pan, “Semi-Coupled Dictionary Learning with Applications to Image
Super-Resolution and Photo-Sketch Image Synthesis,” in CVPR 2012. (paper) (code will be available soon)
[4]
W. Lian,
L. Zhang and D. Zhang, “Rotation Invariant Nonrigid Point Set Matching in Cluttered Scenes,” IEEE Trans. Image
Processing, 2012. (paper,
source code)
ICCV 2011
[5]
L. Zhang, M. Yang and X. Feng, “Sparse Representation or Collaborative
Representation: Which Helps Face Recognition?” in ICCV 2011. (paper,
code)
[6]
M. Yang, L. Zhang, X. Feng and D. Zhang, “Fisher Discrimination Dictionary Learning for Sparse
Representation,” in ICCV 2011. (paper, code)
[7]
L. Zhang, P. Zhu, Q. Hu and D. Zhang, “A Linear Subspace Learning Approach via Sparse Coding,” in ICCV 2011. (paper, code) (Some errors in the experimental
results on MPIE database were corrected.)
[8]
W. Dong, L. Zhang and G. Shi, “Centralized
Sparse Representation for Image Restoration,” in ICCV 2011. (paper, code)
Color Demosaicking, CFA Image Denoising, CFA Video
Processing, etc.
[9]
L. Zhang, X. Wu, A. Buades,
and X. Li, "Color Demosaicking by Local Directional Interpolation and
Non-local Adaptive Thresholding,"
Journal of Electronic Imaging 20(2), 023016 (Apr-Jun 2011),
DOI:10.1117/1.3600632. (paper, website and
dataset, code)
[10]
L. Zhang, W. Dong, X. Wu, G. Shi, “Spatial-Temporal Color Video Reconstruction from Noisy CFA
Sequence,” IEEE
Trans. on Circuits and Systems for Video Technology,
vol. 20, no. 6, pp. 838-847, June 2010. (paper, website, source code
will be available soon)
[11] L. Zhang, R. Lukac, X. Wu and D. Zhang, “PCA-based Spatially Adaptive Denoising of CFA Images for Single-Sensor
Digital Cameras,” IEEE Trans. on Image Processing, vol. 18,
no. 4, pp. 797-812, April 2009. (paper, matlab code, website)
[12]
L.
Zhang, X. Wu and D. Zhang, “Color Reproduction from Noisy CFA Data of Single
Sensor Digital Cameras,” IEEE Trans. Image Processing, vol. 16, no. 9,
pp. 2184-2197, Sept. 2007. (paper, matlab code, website)
[13]
L.
Zhang and X. Wu, “Color demosaicking via directional linear minimum mean
square-error estimation,” IEEE Trans. on Image Processing, vol. 14, pp. 2167-2178, Dec. 2005. (paper, matlab code)
[14] F. Zhang, X. Wu, X. Yang, W. Zhang, L. Zhang, “Robust Color Demosaicking with Adaptation to Varying Spectral Correlations,” IEEE Trans. on Image Processing, vol. 18, no. 12, pp. 2706-2717, Dec 2009. (paper)
[15] X. Wu and L. Zhang, “Improvement of
color video demosaicking in temporal domain,” IEEE Trans. on Image
Processing, vol. 15, pp.
3138-3151, Oct. 2006. (paper, software)
[16] X. Wu and L. Zhang, “Temporal color
video demosaicking via motion estimation and data fusion,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 16,
pp. 231-240, Feb. 2006. (paper)
[17] X. Li, B. Gunturk, L. Zhang, “Image demosaicing: a systematic survey,” Visual Communications and Image Processing 2008, Proceedings of the SPIE, Volume 6822, pp. 68221J-68221J-15 (2008). San Jose, CA, USA
Image Interpolation, Restoration and Super-resolution
[18]
W. Dong, L. Zhang, G. Shi and X. Wu, “Image
deblurring and supper-resolution by adaptive sparse domain selection and
adaptive regularization,” in IEEE Trans.
on Image Processing, 2011. (paper, matlab code &
website)
[19] L. Zhang and X. Wu, “An
edge-guided image interpolation algorithm via directional filtering and data
fusion,” IEEE Trans. on Image Processing, vol. 15, pp. 2226-2238, Aug. 2006. (paper, matlab code)
[20] W.
Dong, G. Shi, L. Zhang and X. Wu, “Super-resolution
with nonlocal regularized sparse representation,” in SPIE VCIP 2010. (Best paper award)
[21] Weisheng Dong, Lei Zhang, Guangming
Shi, Xiaolin Wu, “Nonlocal back-projection for adaptive image
enlargement,” ICIP
2009. (code)
Signal and Image Denoising
[22]
L. Zhang, W. Dong, D. Zhang and G.
Shi, “Two-stage Image Denoising by Principal Component Analysis with Local
Pixel Grouping,” Pattern
Recognition, vol. 43, issue 4, pp.
1531-1549, April 2010. (paper, matlab code, website) (Code optimized!)
[23]
Weisheng Dong, Xin Li, Lei Zhang and Guangming
Shi, “Sparsity-based Image Denoising via Dictionary Learning and Structural
Clustering,” CVPR 2011 (oral). (paper)
(code)
[24] L. Zhang, B. Paul and X. Wu, “Multiscale LMMSE-based image denoising with optimal wavelet
selection,” IEEE Trans. on Circuits and Systems for Video Technology, vol.
15, pp. 469-481, April 2005.
(paper, matlab code)
[25]
Q. Pan, L. Zhang, et al, “Two de-noising
methods by wavelet transform,” IEEE Trans. on Signal Processing, vol.
47, pp. 3401-3406, Dec. 1999. (paper)
Image Segmentation
[26] B.
Peng, L. Zhang and D. Zhang, “Automatic Image
Segmentation by Dynamic Region Merging”, IEEE
Trans. Image Processing, vol. 12, no. 12, pp. 3592-3605, 2011. (paper,
software, website) (Source code) 
[27]
B. Peng, L. Zhang, D.
Zhang and J. Yang, “Image Segmentation by Iterated Region Merging with
Localized Graph Cuts”, to appear in Pattern
Recognition. (paper)
(software)
[28]
K. Zhang, L. Zhang, H. Song and W. Zhou, “Active contours with
selective local or global segmentation: a new formulation and level set method,” Image and Vision Computing, vol. 28, issue 4, pp. 668-676, April
2010. (paper, matlab code, website)
[29]
K. Zhang, H. Song and L. Zhang, “Active Contours Driven by Local Image
Fitting Energy,” Pattern recognition, vol. 43, issue 4, pp. 1199-1206, April 2010. (paper, matlab code)
[30]
J. Ning, L. Zhang, D. Zhang and C. Wu,
“Interactive Image Segmentation by Maximal Similarity based Region Merging,” Pattern Recognition, vol. 43, pp. 445-456, Feb, 2010. (paper, website & code)
[31]
Y. Zhao, L. Zhang, D. Zhang and Q. Pan, “Object Separation by
Polarimetric and Spectral Imagery Fusion,” Computer
Vision and Image Understanding, vol. 113, no. 8, pp. 855-866, Aug.
2009. (paper, dataset)
[32] B. Peng,
L. Zhang and J. Yang, “Iterated Graph Cuts for Image Segmentation,” ACCV 2009. (software)
[33] Kaihua Zhang, Lei Zhang and Su Zhang, “A
Variational Multiphase Level Set Approach to Simultaneous Segmentation and Bias
Correction,” ICIP 2010.
(code)
Image Retrieval
[34]
G. Liu, L. Zhang,Y. Hou, Z. Li and J. Yang, “Image Retrieval Based on
Multi-Texton Histogram,”
Pattern Recognition,
Volume 43, Issue 7, pp. 2380-2389, July
2010. (paper, code)
[35]
G. Liu, Z. Li, L. Zhang and Y. Xu, “Image
Retrieval based on Micro-structure Descriptor,” to appear in Pattern Recognition. (paper) (code)
Image Quality Assessment
[36]
Lin Zhang, Lei Zhang, X. Mou
and D. Zhang, “FSIM: A Feature Similarity Index for Image Quality Assessment,” IEEE Trans. Image Processing, vol. 20, no. 8, pp. 2378-2386,
2011. (paper, website & code)
[37]
M. Zhang, X. Mou
and L. Zhang, “Non-Shift Edge based Ratio (NSER): An Image Quality Assessment
Metric Based on Early Vision Features,” IEEE
Signal Processing Letters, vol. 18, no. 5, pp. 315-318, May, 2011. (paper)
[38]
Lin Zhang, Lei Zhang and X. Mou, “RFSIM: A Feature based Image
Quality Assessment Metric using Riesz Transforms,”
ICIP 2010. (code)
Point Set Matching and Shape Matching
[39]
W. Lian, L. Zhang,
Y. Liang and Q. Pan, “A Quadratic Programming based Cluster Correspondence
Projection Algorithm for Fast Point Matching,” Computer Vision and Image Understanding, Vol. 114, Issue 3, pp.
322-333, March 2010. (paper, matlab code)
[40]
W. Lian and L. Zhang, “Rotation invariant
non-rigid shape matching in cluttered scenes,” ECCV 2010. (code)
Object Tracking
[41]
J. Ning, L. Zhang, D. Zhang and C. Wu, “Scale and Orientation
Adaptive Mean Shift Tracking,” to appear in IET
Computer Vision. (paper, website. matlab code)
[42]
J. Ning, L.
Zhang, D. Zhang and C. Wu, “Robust
Mean Shift Tracking with Corrected Background-Weighted Histogram,” to appear in IET Computer Vision. (paper, website. matlab code) (We
prove that the background-weighted histogram in the original mean-shift
tracking method is incorrect.)
[43]
J. Ning, L. Zhang, D. Zhang and C. Wu, “Robust Object Tracking using Joint Color-Texture Histogram,” International Journal of
Pattern Recognition and Artificial Intelligence, vol. 23, No. 7 (2009) 1245–1263. (paper, matlab code)
Edge Detection, Corner Detection and Line Detection
[44] B.
Paul, L. Zhang and X. Wu, “Canny edge detection enhancement by scale
multiplication,” IEEE. Trans. on Pattern Analysis and Machine
Intelligence, vol. 27, pp. 1485-1490, Sept. 2005. (paper, matlab code)
[45]
L. Zhang, B. Paul, et al, “Edge detection by
scale multiplication in wavelet domain,” Pattern Recognition Letters, vol.
23, pp. 1771-1784, 2002. (paper)
[46] Lin Zhang, Lei Zhang and D.
Zhang, “A
Multi-Scale Bilateral Structure Tensor Based Corner Detector,” ACCV 2009. (code)
Finger-Knuckle-Print Recognition
[47]
Lin Zhang, Lei Zhang, D. Zhang and H. Zhu, “Ensemble of Local and
Global Information for Finger-Knuckle-Print Recognition ,” accepted by PR. (paper) (website)
[48]
Lin Zhang, Lei Zhang, D. Zhang and
H. Zhu, “Online Finger-Knuckle-Print Verification for Personal Authentication,”
Pattern Recognition, vol. 43, no. 7, pp. 2560-2571, July 2010. (paper)
(website)
[49] Lin
Zhang, Lei Zhang, David Zhang, “Finger-Knuckle-Print: A New Biometric
Identifier”, ICIP
2009.
[50] Lin Zhang, Lei Zhang and David
Zhang, “Finger-Knuckle-Print
Verification Based On Band-Limited Phase-Only Correlation,” The 13th International
Conference on Computer Analysis of Images and Patterns (CAIP09).
Face Recognition
[51]
Meng Yang, Lei
Zhang, Jian Yang and David Zhang, “Robust Sparse
Coding for Face Recognition,” CVPR 2011. (paper)
(code)
[52] M. Yang and L. Zhang, “Gabor Feature based
Sparse Representation for Face Recognition with Gabor Occlusion Dictionary,”
ECCV 2010. (code)
[53]
B. Zhang, L. Zhang, D. Zhang, and L. Shen, “Directional Binary Code with Application to PolyU Near-Infrared Face Database,”Pattern
Recognition Letters, vol.
31, issue 14, pp. 2337-2344, Oct. 2010. (paper) (database)
[54]
W. Di, L. Zhang, D. Zhang and Q. Pan,
“Studies on Hyperspectral Face Recognition in Visible Spectrum with Feature Band
Selection,” IEEE Trans. on System, Man and Cybernetics, Part A, vol. 40,
issue 6, pp. 1354 – 1361, Nov. 2010. (paper) (database)
[55]
J. Yang, C. Liu, L. Zhang, “Color Space Normalization:
Enhancing the Discriminating Power of Color Spaces for Face Recognition,” Pattern Recognition, 2010, 43(4),
1454-1466, April 2010. (paper)
[56]
L. Zhang, Q. Gao and D. Zhang, “Directional
Independent Component Analysis with Tensor Representation,” pp.1-7, 23-28,
June, Anchorage, Alaska, U.S., CVPR2008
(Oral).
[57] Meng Yang, Lei Zhang, Daivd Zhang
and Jian Yang, “Metaface Learning for Sparse
Representation based Face Recognition,” ICIP 2010. (code)
[58] Meng Yang, Lei Zhang, Lin Zhang, David Zhang, “Monogenic
Binary Pattern (MBP): A Novel Feature Extraction and Representation Model for
Face Recognition,” ICPR 2010.
[59] Lei
Zhang, Meng Yang, Zhizhao Feng, David Zhang, “On the Dimensionality
Reduction for Sparse Representation based Face Recognition,” ICPR 2010.
[60]
Q. Gao, L. Zhang, D. Zhang and H. Xu, “Independent
components extraction from image matrix,” Pattern
Recognition Letters, vol. 31, issue 3, pp. 171 – 178, Feb. 2010. (paper)
[61]
Q. Gao, L. Zhang and D. Zhang,
“Sequential Row-Column Independent Component Analysis for Face Recognition,” Neurocomputing, vol. 72, pp. 1152–1159, Jan. 2009. (paper)
[62] Q. Gao, L. Zhang and D. Zhang, “Face Recognition using FLDA with Single Training Image Per-person,” Applied Mathematics and Computation, vol. 205, pp. 726-734, 2008. (paper, code)
2D and 3D Palmprint Recognition
[63]
W. Li, D. Zhang, L. Zhang, G. Lu and J.
Yan, “3-D Palmprint Recognition with Joint Line and Orientation Features,” in IEEE
Trans. System, Man and Cybernetics, Part C, 2010. (paper) (database)
[64]
D. Zhang, G. Lu, W. Li, L. Zhang
and N. Luo, “Palmprint Recognition using 3-D
Information,” IEEE Trans. System, Man and Cybernetics, Part C, vol. 39, no. 5, pp. 505-519, Sept. 2009. (paper) (database)
[65] W. Li, L. Zhang, D. Zhang, G.
Lu and J. Yan, “Efficient Joint
2D and 3D Palmprint Matching with Alignment Refinement,”
CVPR 2010. (database)
[66] L.
Zhang and D. Zhang, “Characterization of palmprints
by wavelet signatures via directional context modeling,” IEEE Trans. on
System, Man and Cybernetic, Part B.
vol. 34, pp. 1335-1347, June, 2004. (paper)
[67]
Z. Guo, D. Zhang,
L. Zhang and W. Zuo, “Palmprint Verification
using Binary Orientation Co-occurrence Vector,” Pattern Recognition Letters, vol. 30, no. 13, pp. 1219-1227,
October, 2009. (paper)
[68]
Z. Guo,
W. Zuo, L. Zhang and D. Zhang, “A Unified
Distance Measurement for Orientation Coding in Palmprint Verification”, Neurocomputing, Volume 73, pp. 944-950, Issues 4-6,
January 2010. (paper)
[69] Wei Li, Lei Zhang and David Zhang, “Three Dimensional Palmprint Recognition,” 2009 IEEE International Conference on Systems,
Man, and Cybernetics, SMC09.
[70]
D. Zhang, G. Lu, W. Li, L. Zhang and N. Luo, “Three Dimensional Palmprint Recognition using
Structured Light Imaging,” 2nd IEEE International Conference on Biometrics:
Theory, Applications and Systems (BTAS08), Sept. 29-Oct. 1
2008, pp. 1-6. Hyatt Regency Crystal City, U.S.
[71] Lei Zhang, Zhenhua Guo, Zhou Wang and David Zhang, “Palmprint verification using
complex wavelet transform,” ICIP07, September 16-19, 2007, San
Antonio, Texas, USA. Volume 2, Page(s): II - 417 - II – 420.
Multispectral Palmprint Recognition, Palmvein
Recognition
[72]
D. Zhang, Z. Guo,
G. Lu, L. Zhang and W. Zuo, “An Online System of
Multispectral Palmprint Verification,” IEEE
Trans. on Instrument and Measurement, vol. 59, no. 2, pp. 480-490, Feb.
2010. (paper)
(database)
[73]
D. Zhang, Z. Guo,
G. Lu, L. Zhang, Y. Liu and W. Zuo, “Online Joint
Palmprint and Palmvein Verification,” accepted by Expert System with Applications. (paper)
(dataset will be available soon)
Fingerprint Recognition
[74]
Q. Zhao, D. Zhang, L. Zhang and N. Luo, “Adaptive Fingerprint Pore Modeling and
Extraction,” Pattern Recognition, Volume 43, Issue 8, Pages 2833-2844, August 2010. (paper) (database)
[75]
Q. Zhao, D. Zhang, L. Zhang and N. Luo, “High resolution partial fingerprint alignment
using pore–valley descriptors”, Pattern Recognition, vol. 43, no. 3, pp. 1050-1061, Mar. 2010. (paper) (database)
[76] Qijun Zhao, Feng Liu, Lei Zhang,
David Zhang, “A comparative study on quality
assessment of high resolution fingerprint images,” ICIP 2010.
[77] Qijun Zhao, Feng Liu, Lei Zhang,
David Zhang, “Parallel versus Hierarchical
Fusion of Extended Fingerprint Features”, ICPR 2010.
[78] Feng Liu, Qijun Zhao, Lei Zhang,
David Zhang, “Fingerprint
Pore Matching based on Sparse Representation,” ICPR 2010.
[79]
Q. Zhao, L. Zhang, D. Zhang, W. Huang, and J.
Bai, “Curvature and Singularity Driven Diffusion for
Oriented Pattern Enhancement with Singular Points,” CVPR09. Proceedings of IEEE
Conference on Computer Vision and Pattern Recognition, pp. 1-7, Miami, Florida,
USA, June 22-24 2009.
[80]
Q. Zhao, L. Zhang, D. Zhang and N. Luo, “Direct Pore Matching for
Fingerprint Recognition,” International Conference on Biometrics 2009 (ICB09), pp. 597-606, Alghero,
Italy, June 2-5, 2009.
[81]
Q. Zhao, L. Zhang, D. Zhang and N. Luo, “Adaptive Pore Model for
Fingerprint Pore Extraction,” ICPR08. Proceedings of International Conference on Pattern
Recognition, pp. 1-4, Tampa, Florida, USA, Dec. 8-11, 2008.
Texture Classification
[82]
Z. Guo, L.
Zhang and D. Zhang, “A Completed Modeling of Local Binary Pattern
Operator for Texture Classification,” IEEE Trans. on Image
Processing, vol. 19, no. 6, pp. 1657-1663, June 2010. (paper, matlab code) (a small bug in the code is fixed)
[83]
Z. Guo, L. Zhang and D. Zhang, “Rotation
Invariant Texture Classification using LBP Variance (LBPV) with Global Matching”, Pattern Recognition, vol. 43, no. 3, pp. 706-719, Mar.
2010. (paper, matlab code)
[84] Lin
Zhang, Lei Zhang, Zhenhua Guo
and David Zhang, “MONOGENIC-LBP: A NEW APPROACH FOR
ROTATION INVARIANT TEXTURE CLASSIFICATION,” ICIP 2010. (code)
[85]
Jin Xie, Lei
Zhang, Jane You and David Zhang, “TEXTURE CLASSIFICATION VIA
PATCH-BASED SPARSE TEXTON LEARNING,” ICIP 2010.
Medical Image Processing and Analysis
[86]
B. Paul and L. Zhang “Noise Reduction for
Magnetic Resonance Images via Adaptive Multiscale
Products Thresholding,” IEEE Trans. on Medical Imaging, vol.22, pp.
1089-1099, Sep. 2003. (paper, matlab code)
[87]
Y. Zhao, L. Zhang and Q. Pan, “Spectropolarimetric
Imaging for Pathological Analysis of Skin,” Applied
Optics, vol. 48(10), pp. D236-D246,
April 2009. (paper, dataset)
[88]
X. Mou, X. Chen, L. Sun, H. Yu, Z. Ji and L. Zhang, “The impact of calibration phantom errors on
dual-energy digital mammography,” Phys.
Med. Biol. 53 6321-6336, 2008. (paper)
[89] L. Zhang, Q. Li, J. You and D.
Zhang, “A Modified
Matched Filter with Double-Sided Thresholding for Screening Proliferative
Diabetic Retinopathy,” IEEE Trans. Information Technology in Biomedicine, vol. 13, no. 4, pp. 528-534, July 2009. (paper)
[90]
Bob Zhang, Lin Zhang, Lei Zhang and
Fakhri Karray, “Retinal Vessel Extraction by Matched Filter with First-Order
Derivative of Gaussian,” Computers
in Biology and Medicine, Volume
40, Issue 4, April 2010,
Pages 438-445. (paper, matlab code)
Biomedical Engineering
[91]
D. Guo, D.
Zhang, N. Li, L. Zhang, and J. Yang, “A Novel Breath Analysis System Based on
Electronic Olfaction” accepted by IEEE
Trans. on Biomedical Engineering. (paper)
[92] Y. Chen, L. Zhang, D. Zhang and D. Zhang, “Wrist Pulse Signal
Diagnosis using Modified Gaussian Models and Fuzzy C-Means Classification,” Medical Engineering & Physics, Vol.
31, Issue 10, pp. 1283-1289, Dec. 2009. (paper)
[93] Y. Chen, L. Zhang, D. Zhang and D. Zhang, “Computerized Wrist Pulse Signal Diagnosis Using Modified Auto-Regressive Models,” Journal of Medical Systems, Sept. 2009, DOI 10.1007/s10916-009-9368-4. (paper)
[94]
Bob Zhang, Lei Zhang, Jane You, Fakhri Karray, “Microaneurysm (MA) Detection via Sparse Representation
Classifier with MA and Non-MA Dictionary Learning,” ICPR 2010. (paper)
Bioinformatics
[95]
C. Zheng, L.
Zhang, T. Ng, C. Shiu and D. Huang, “Molecular Pattern
Discovery Based on Penalized Matrix Decomposition”, accepted by IEEE/ACM Transactions on Computational
Biology and Bioinformatics.
(paper,
code)
[96]
C. Zheng, L. Zhang, T. Ng, and C. Shiu, “Metasample Based Sparse Representation for Tumor
Classification,” accepted by IEEE/ACM Transactions on Computational
Biology and Bioinformatics.
(paper, code)
[97] C. Zheng,
D. Huang, L. Zhang and X. Kong, “Tumor Clustering
Using Nonnegative Matrix Factorization with Gene Selection,” IEEE Trans.
Information Technology in Biomedicine,
vol. 13, no. 4, pp.599-607,
July 2009. (paper, code)
Signal Processing, Adaptive Filtering and Multi-sensor Data Fusion
[98] Y. Liang, J. Cao, Lei Zhang, et al,
“A Biologically-Inspired Sensor Wakeup Control Method for Wireless
Sensor Networks”, IEEE
Trans. on System, Man and Cybernetics, Part C, vol. 40, issue 5, pp. 525–538, Sept. 2010. (paper)
[99] L.
Zhang and X. Wu, “On the Application of Cross Correlation Function to Subsample
Discrete Time Delay Estimation,” Digital
Signal Processing, 16 (2006), pp. 682-694. (paper)
[100] L.
Zhang, X. Wu, Q. Pan and H. Zhang, “Multiresolution
modeling and estimation of multisensor data,” IEEE
Trans. on Signal Processing, vol. 52, pp. 3170-3182, Nov. 2004. (paper)
[101] L. Zhang, B. Paul and X. Wu, “Wavelet
estimation of fractional Brownian motion embedded in a noisy environment,” IEEE
Trans. on Information Theory, vol. 50, pp. 2194-2200, Sept. 2004. (paper)
[102] L.
Zhang, Q. Pan, B. Paul and H. Zhang, “The Discrete Kalman
Filtering of A Class of Dynamic Multiscale Systems,” IEEE
Trans. on Circuits and Systems II: Digital and Analog
Signal Processing, vol.49, pp.
668-676, Oct. 2002. (paper)
Machine Learning and Artificial Intelligence
[103] Qinghua Hu, Lei Zhang, Degang Chen, Witold Pedrycz, Daren Yu, “Gaussian Kernel Based Fuzzy Rough Sets:
Model, Uncertainty Measures and Applications,” International Journal of Approximate Reasoning, Volume 51, Issue 4, March 2010, Pages 453-471. (paper)
[104] Qinghua Hu, Xunjian Chen, Lei Zhang and Daren Yu, “Feature Evaluation and
Selection Based on Neighborhood Soft Margin,” Neurocomputing, Volume 73, Issues 10-12, June 2010, Pages 2114-2124. (paper)
Hyperspectral Image Processing and Classification
[105]
Y. Zhao, L. Zhang and S. Kong, “Band Subset Based Clustering and Fusion for Hyperspectral
Imagery Classification,” IEEE Trans. on Geoscience and Remote Sensing, 2011. (paper)
[106] Marko Slyz and Lei Zhang, “A Block-based Inter-band Lossless Hyperspectral Image Compressor,” DCC05 (Data Compression Conference) 2005, pp.427-436, Cliff Lodge,
USA, 29-31 March 2005.
