Xiaolin Wu

Professor

NSERC Senior Industrial Research Chair

IEEE Fellow

McMaster Distinguished Engineering Professor

Associated Editor, IEEE Transactions on Image Processing

Department of Electrical & Computer Engineering
ITB A315
McMaster University
Hamilton, Ontario, Canada, L8G 4K1

COURSES: Digital Logic (2DI4); Discrete Methods (703); Data Structures and Algorithms (2SI4) ; Image Processing (4TN4); Numerical Analysis (3SK3); Parallel and Distributed Computing (709)

RESEARCH:

My general research interests are visual/multimedia computing and communications. I have published numerous algorithms for computer graphics and image processing (image coding in particular), some of which are being used by practitioners, such as a fast optimal color quantizer, and a Context-based Adaptive Lossless Image Codec CALIC(executable) .

My cool idea for information display

(featured in MIT Technology Review http://m.technologyreview.com/blog/arxiv/27490/)

Temporal Psychovisual Modulation (TPVM)

Via an ingenious interplay of critical flicker frequency of human vision, high refresh-rate digital display and optoelectronic viewing devices, TPVM is a new display paradigm that differs fundamentally, in design principle, user experience and cost effectiveness, from head-mounted display (HMD) technology and from Sony screen sharing technology, while offering more and exciting functionalities.

visor7a

The scientific principle of TPVM: atom frames emitted by high-speed display are weighted by active LC glasses and perceived by the human visual system (HSV) as an image. TPVM allows concurrent multiple self-intended exhibitions via a common display medium, an optoelectronic-psychovisual process modeled by non-negative matrix factorization. Different images are perceived by different viewers whose LC glasses modulate the same sequence of atom frames differently (see below).

visor7b See how TPVM works

In virtual reality (VR) and augmented reality (AR), TPVM allows

many users interact with the same virtual world and at the same time enjoy each other’s physical presence (e.g., surfing together), which is impossible with HMD.
a bulk of imaging computations off-loaded from HMD (electronic) to HSV (biologic), making user-worn viewing apparatus much simpler, lighter and far less expensive.

Examples in 3D medical visualization; Examples in security/privacy protection.

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Our book: Network-aware Source Coding and Communication, Cambridge University Press, 2011 new book

Selected Publications:

Machine learning

· X. Zhang, X. Wu, ``On numerosity of deep neural networks``, in Advances in Neural Information Processing Systems (NIPS), Dec., 2020.

· X Wu, Q Gao, Z Li, S Li, ``A fast and practical CNN method for artful image regeneration``, ACM SIGGRAPH 2020.

· X. Zhang, X. Wu, X. Zhai, X. Ben, C. Tu, ``DAVD-Net: Deep audio-aided video decompression of talking heads``, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12335-12344, June, 2020.

· Q. Gao, X. Shu and X. Wu, ``Deep restoration of vintage photographs from scanned halftone prints``, in Proc. of 2019 International Conference on Computer Vision (ICCV), pp. 4120-4129, 2019.

· X. Wu, X. Zhang, X. Shu, ``Cognitive deficit of deep learning in numerosity``, in Proc. of the Thirty-Third AAAI Conference on Artificial Intelligence, pp. 1303-1310, 2019.

· Z. Chi, X. Shu and X. Wu, ``Joint demosaicking and blind deblurring using deep convolutional neural network``, in 2019 IEEE International Conference on Image Processing, pp. 2169-2173, 2019.

· X. Zhang and X. Wu, "Near-lossless loo-constrained image decompression via deep neural network.", in Proc. of 2019 Data Compression Conference, pp. 33-42, 2019.

Image Processing

· X. Wu, D. Gao, Q. Chen, “Multispectral imaging via nanostructured random broadband filtering", Optics Express, vol. 28, no. 4, pp. 4859-4875, Apr. 2020.

· X. Shu, X. Wu, “Locally adaptive rank-constrained optimal tone mapping", ACM Transactions on Graphics, vol. 37, no. 3, pp. 3801-3810, Aug. 2018.

· D. Gao, X. Wu, “Multispectral image restoration via inter- and intra-block sparse estimation based on physically-induced joint spatiospectral structures", IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 4038-4051, Aug. 2018.

· X. Shu, X. Wu, “Real-time high-fidelity compression for extremely high frame rate video cameras", IEEE Transactions on Computational Imaging, vol. 4, no. 1, pp. 172-180, March 2018.

· Z. Li, X. Wu, “Learning-based restoration of backlit images", IEEE Transactions on Image Processing, vol. 27, no. 2, pp. 976-986, Feb. 2018.

· Y. Liu, X. Wu, G. Shi, “Image enhancement by entropy maximization and quantization resolution upconversion”, IEEE Transactions on Image Processing, vol. 25, no. 10, pp. 4815-4828, Oct. 2016.

· X. Liu, X. Wu, J. Zhou, D. Zhao, “Data-driven sparsity-based restoration of JPEG compressed images in dual transform-pixel domain", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 5171-5178, 2015.

· X. Wu, Z. Li, X. Deng, ``Video restoration against yin-yang phasing", 2015 IEEE Int. Conf. on Computer Vision (ICCV), pp. 549-557, 2015.

R. Pournaghi, X. Wu, "Coded acquisition of high frame rate video", IEEE Trans. on Image Processing, vol. 23, no. 12, pp. 5670-5682, Dec. 2014.
W. Dong, X. Wu, G. Shi, "Sparsity fine tuning in wavelet domain with application to compressive image restoration", IEEE Trans. on Image Processing, vol. 23, no. 12, pp. 5249-5262, December 2014.

· H. Xu, G. Zhai, X. Wu, X. Yang, "Generalized equalization model for contrast enhancement", IEEE Trans. on Multimedia, vol. 16, no. 1, pp. 68-82, January 2014.

· W. Dong, G. Shi, X. Wu, L. Zhang, "A learning-based method for compressive image recovery", J. of Visual Comm. and Image Repr., vol. 24, no. 7, pp. 1055-1063, Oct. 2013.

· D. Gao, D. Liu, X. Xie, X. Wu, G. Shi, "High-resolution multispectral imaging with random coded exposure", Journal of Applied Remote Sensing, vol. 7, no. 1, Sept. 2013.

· Y. Niu, X. Wu, X. Zhang, G. Shi, “Model-based adaptive resolution upconversion of degraded images", J. Visual Communication and Image Representation 23(7), pp. 1144-1157, July 2012.

· X. Wu, W. Dong, X. Zhang and G. Shi, “Model-assisted adaptive recovery of compressive sensing with imaging applications", IEEE Trans. on Image Processing, vol. 21, no. 2, pp. 451-458, Feb. 2012.

· D. Gao, X. Wu, G. Shi, L. Zhang, "Color demosaicking with an image formation model and adaptive PCA", J. Visual Communication and Image Representation 23(7), pp. 1019-1030, 2012.

W. Dong, G. Shi, X. Li, L. Zhang, X. Wu, "Image reconstruction with locally adaptive sparsity and nonlocal robust regularization", Signal Processing: Image Comm., vol. 27, no. 10, pp. 1109-1122, Sept. 2012.
G. Zhai, X. Wu, X. Yang and W. Lin, “A psychovisual quality metric in free energy principle”, IEEE Trans. Image Processing, vol. 21, no. 1, pp. 41-52, Jan. 2012..

· W. Dong, L. Zhang, G. Shi, X. Wu, “Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization", IEEE Trans. on Image Processing,

vol. 20, no. 7, pp. 1838-1857, July 2011.

X. Wu, “A linear programming approach for optimal contrast-tone mapping", IEEE Trans. Image Processing, vol. 20, no. 5, pp. 1262-1272, May 2011.
L. Zhang, X.Wu, A. Buades, X. Li, "Color demosaicking by local directional interpolation and nonlocal adaptive thresholding", Journal of Electronic Imaging, vol. 20, pp. 023016-1 16, June, 2011.
L. Zhang, W. Dong, X. Wu and G. Shi, "Spatial-temporal color video reconstruction from noisy CFA sequence", IEEE Trans. on Circuit and Syst. for Video Tech., vol. 20, no. 6, pp. 838-847, June 2010.
X. Wu and X. Zhang, “Joint color decrosstalk and demosaicking for CFA cameras”, IEEE Trans. Image Processing, vol. 19, no. 12, pp. 3181-3189, Dec. 2010.
G. Shi, W. Dong, X. Wu, “Context-based adaptive image resolution upconversion", Electronic Imaging, vol. 19, pp. 013008-1 - 013008-9, Mar. 2010.
F. Zhang, X. Wu, X. Yang, W. Zhang, “Robust color demosaicking with adaptation to varying spectral correlations", IEEE Trans. on Image Processing, vol. 18, no. 12, pp. 2706-2717, Dec. 2009.
X. Zhang, X. Wu, “Image interpolation by adaptive 2D autoregressive modeling and soft-decision estimation”, IEEE Trans. on Image Processing, vol. 17, no. 6, pp. 887-896, June 2008.
L. Zhang, X. Wu and D. Zhang, “Color reproduction from noisy CFA data of single sensor digital cameras”, IEEE Trans. on Image Processing, vol. 16, no. 9, pp. 2184-2197, Sept. 2007.
X. Wu and L. Zhang, “Color video demosaicking via motion estimation and data fusion”, IEEE Trans. on Circuit and Syst. for Video Tech., vol. 16, no.2, pp. 231-240, Feb. 2006.
X. Wu and L. Zhang, “Improvement of color video demosaicking in temporal domain,” IEEE Trans. Image Processing, vol.15, no.10, Oct. 2006.
L. Zhang and X. Wu, “Image interpolation via directional filtering and data fusion,” IEEE Trans. Image Processing, vol.15, no.8, pp. 2226-2238, Aug. 2006.
X. Wu and N. Zhang, “Primary-consistent soft-decision color demosaicking for digital cameras", IEEE Trans. on Image Processing, vol. 13, no. 9, pp. 1263-1274, Sept. 2004.
L. Zhang and X. Wu, "Color demosaicking via directional linear minimum mean square-error estimation", IEEE Trans. on Image Processing, vol. 14, no. 12, pp. 2167-2178, Dec. 2005.
P. Bao, L. Zhang and X. Wu, “Canny edge detection enhancement by scale multiplication,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 9, pp. 1485-1490, Sept. 2005.
L. Zhang, P. Bao, and X.Wu, “Multiscale-LMMSE-based image denoising with optimal wavelet selection”, IEEE Trans. on Circuit and Syst. for Video Tech., vol. 15, no. 4, pp. 496-481, Apr. 2005.
L. Zhang, X. Wu, Q. Pan and H. Zhang, "Multiresolution modeling and estimation of multisensor data", IEEE Trans. on Signal Processing, pp. 3170-3182, Nov. 2004.
L. Zhang, P. Bao, and X. Wu, "Wavelet-based estimation of fractional Brownian motion embedded in noisy environment", IEEE Trans. on Information Theory, vol. 50, no. 9, pp. 2194-2200, Sept. 2004.
L. Zhang, X. Wu, and P. Bao, "Noisy signal compression by wavelet transform with optimal downsampling", International Journal of Wavelets, Multiresolution and Information Processing, vol. 1, no. 4, pp. 407-423, Dec. 2003.
L. Zhang, P. Bao, and X.Wu, ”Hybrid inter- and intra-wavelet scale image restoration”, Pattern Recognition, p. 1737-1746, vol. 36 (8), Aug. 2003.

Image Coding

· X. Liu, G. Cheung, X. Wu, D. Zhao, “Random walk graph Laplacian-based smoothness prior for soft decoding of JPEG images”, IEEE Transactions on Image Processing, vol. 25, no. 11, pp. 509-524, Nov. 2016.

· X. Liu, X. Wu, J. Zhou, D. Zhao, "Data-driven soft decoding of compressed images in dual transform-pixel domain", IEEE Transactions on Image Processing, vol. 25, no. 4, pp. 1649-1659, Apr. 2016.

· S. Chuah, S. Dumitrescu, X. Wu, "L2 optimized predictive image coding with Loo bound", IEEE Trans. on Image Processing, vol. 22, no. 12, pp. 5271-5281, Dec. 2013.

· J. Zhou, X. Wu, L. Zhang, “L2 restoration of L1-decoded images via soft-decision estimation", IEEE Trans. on Image Processing, vol. 21, no. 12, pp. 4797-4807, Dec. 2012.

· Y. Niu, X. Wu, G. Shi, X. Wang, “Edge-based perceptual image coding", IEEE Trans. on Image Processing, vol. 21, no. 4, pp. 1899-1910, April 2012.

X. Wu, G. Zhai, X. Yang and W. Zhang, “Adaptive sequential prediction of multidimensional signals with applications to lossless image coding”, IEEE Trans. on Image Processing, vol. 20, no. 1, pp. 36-42, Jan. 2011.
X. Wu, X. Zhang, and X. Wang, "Low bit-rate image compression via adaptive down-sampling and constrained least squares upconversion", IEEE Trans. on Image Processing, vol. 18, no. 3, pp. 552-561, Mar. 2009.
X. Wu, S. Dumitrescu, and N. Zhang, "On multirate optimality of JPEG 2000 code streams", IEEE Trans. on Image Processing, vol. 14, no. 12, pp. 2012-2023, Dec. 2005.
N. Sarshar and X. Wu, “On rate-distortion models for natural images”, IEEE Trans. on Image Processing, vol. 16, no. 5, pp. 1383-1394, May 2007.
N. Zhang and X. Wu, “Lossless compression of color mosaic images”, IEEE Trans. on Image Processing, vol. 15, no. 6, pp. 1379-1388, June 2006.
W. Ding, F. Wu, X. Wu, and S. Li, “Adaptive directional lifting-based wavelet transform for image coding ”, IEEE Trans. on Image Processing, vol. 16, no. 2, Feb. 2007.
X. Xue and X. Wu, “Directly operable image representation of multiscale primal sketch”, IEEE Trans. on Multimedia, vol. 7, no. 5, pp. 805-816, Oct. 2005

S. Cheng, Z. Xiong, and X. Wu, ``Fast trellis coded color quantization of images'', Real-Time Imaging, vol. 8, pp. 265-275, August 2002.
X. Wu and N. Memon, "Lossless interframe image compression via context modeling", IEEE Trans. on Image Processing, vol. 9, no. 5, pp. 994-1001, May 2000.
X. Wu and P. Bao, "-constrained high-fidelity image compression via adaptive context modeling", IEEE Trans. on Image Processing, vol. 9, no. 4, pp. 536-542, April 2000.
X. Wu, J. Wen, and W-H Wong, "Conditional entropy coding of VQ indexes for image compression", IEEE Trans. on Image Processing, vol. 8, no. 8, pp. 1005-1013, Aug. 1999.
Z. Xiong and X. Wu, "Wavelet image coding using trellis coded space-frequency quantization", IEEE Signal Processing Letters, pp. 158-161, July 1999.
P. Bao and X. Wu, ``-constrained near-lossless image compression using weighted finite automata encoding'', Computers and Graphics, vol. 22, no. 2, pp. 217-223, June 1998.
X. Wu, "Lossless compression of continuous-tone images via context selection, quantization, and modeling'', IEEE Trans. on Image Processing, vol. 6, no. 5, pp. 656-664, May 1997.
X. Wu and N. Memon, ``Context-based, adaptive, lossless image codec'', IEEE Trans. on Communications, vol. 45, no. 4, pp. 437-444, April 1997.
N. Memon and X. Wu, ``Recent developments in context-based predictive techniques for lossless image compression'', The Computer Journal, vol. 40, no. 2/3, pp. 127-136, 1997.
X. Wu and Y. Fang, "A segmentation-based predictive multiresolution image coder", IEEE Trans. on Image Processing, vol. 4, no. 1, pp. 34-47, 1995.
X. Wu, "Image coding by adaptive tree-structured segmentation", IEEE Trans. on Information Theory, vol. 38, no. 6, pp. 1755-1767, Nov. 1992.

Signal processing for information displays

· L. Jiao, X. Shu, Y. Cheng, X. Wu, "Optimal backlight modulation with crosstalk control in stereoscopic display", IEEE Journal of Display Technology, vol. 11, no. 2, pp. 157-164, Feb. 2015.

· G. Zhai, X. Wu, "Defeating camcorder piracy by temporal psychovisual modulation", Journal of Display Technology, vol. 10, no. 9, pp. 754-757, Sept. 2014.

· G. Zhai, X. Wu, "Multiuser collaborative viewport via temporal psychovisual modulation", IEEE Signal Processing Magazine, vol. 31, no. 5, pp. 144-149, May 2014.

· L. Jiao, X. Shu, Y. Cheng, X. Wu, "Optimal backlight modulation with crosstalk control in stereoscopic display", Journal of Display Technology, vol. 10, no. 10, Oct. 2014.

· X. Wu, G. Zhai, “Temporal psychovisual modulation: a new paradigm of information display", IEEE Signal Processing Magazine, vol. 30, no. 1, pp. 136-141, Jan. 2013.

· X. Shu, X. Wu, S. Forchhammer, “Optimal local dimming for LC image formation with controllable backlighting", IEEE Trans. on Image Processing, vol. 22, no. 1, pp. 166-173, Jan. 2013.

Network-aware source coding and communication

· J. Wang, X. Wu, J. Sun, S. Yu, "On two-stage sequential coding of correlated sources", IEEE Trans. on Information Theory, vol. 60, no. 12, pp. 7490-7505, Dec. 2014.

· X. Wu, H. D. Mittelmann, X. Wang, J. Wang, “On computation of performance bounds of optimal index assignment", IEEE Trans. on Communications, vol. 59, no. 12, pp. 3229-3233, Dec. 2011.

· M. Shao, S. Dumitrescu and X. Wu, “Layered multicast with inter-layer network coding for multimedia streaming", IEEE Trans. on Multimedia, vol. 13, no. 2, pp. 353-365, March 2011.

· J. Wang, J. Chen, and X. Wu, “On the sum rate of Gaussian multiterminal source coding: new proofs and results", IEEE Trans. on Information Theory, vol. 56, no. 8, pp. 3946-3960, Aug. 2010.

· X. Wang and X. Wu, “Index assignment optimization for joint source-channel MAP decoding", IEEE Trans. on Communications, vol. 58, no. 3, pp. 901-910, Mar. 2010.

· Z. Sun, M. Shao, J. Chen, K. Wong, X. Wu, “Achieving the rate-distortion bound with low-density generator matrix codes," IEEE Trans. on Communications, vol. 58, no. 6, pp. 1643-1653, June, 2010.

· X. Wang and X. Wu, "Index assignment optimization for joint source-channel MAP decoding", IEEE Trans. on Communications, vol. 58, no. 3, pp. 901-910, Mar 2010.

· S. Dumitrescu and X. Wu, “On properties of locally optimal multiple description scalar quantizers with convex cells", IEEE Trans. on Information Theory, vol. 55, no. 12, pp. 5591-5606, Dec. 2009.

X. Wu, X. Wang, and Z. Wang, "Resource-scalable joint source-channel MAP and MMSE estimation of multiple descriptions", IEEE Trans. on Signal Processing, vol. 57, no. 1, pp. 279-288, Jan. 2009.
X. Wu, B. Ma and N. Sarshar, “Rainbow network problems and multiple description coding”, IEEE Trans. on Information Theory, vol. 54, no. 10, pp. 4565-4574, Oct. 2008.
S. Dumitrescu and X. Wu, “On the complexity of joint source-channel decoding of Markov sequences over memoryless channels”, IEEE Trans. on Communications, vol. 56, no. 6, pp. 877-885, June 2008.
S. Dumitrescu, X. Wu, and Z. Wang, “Efficient algorithms for optimal uneven protection of single and multiple scalable code streams against packet erasures”, IEEE Trans. on Multimedia, vol. 9, no. 7, pp. 1466-1474, Nov. 2007.
X. Wu, S. Dumitrescu, and Z. Wang, “Monotonicity-based fast algorithm for MAP estimation of Markov sequences over noisy channels”, IEEE Trans. on Information Theory, vol.50, no.7, pp.1539-1544, July 2004.
Z. Wang and X. Wu, “Length-constrained MAP decoding of variable length encoded Markov sequences”, IEEE Trans. on Communications, vol.54, no.7, pp.1259-1266, July, 2006.
S. Dumitrescu, X. Wu, and Z. Wang, ”Globally optimal uneven error protected packetization of scalable code streams”, IEEE Trans. on Multimedia, vol. 6, no. 2, pp. 230-239, Apr. 2004.
N. Sarshar and X. Wu, “A practical approach to joint network-source coding”, Proc. of DCC 2006 (dcc06.pdf).
X. Huang and X. Wu, “Optimal index assignment for multiple description lattice vector quantization”, Proc. of DCC 2006 (IAMDLVQ.pdf).
X. Wu, X. Wang, and J. Wang, “Joint source-channel decoding of multiple description quantized Markov sequences”, Proc. of DCC 2006 (MDQMAP.pdf).
B. Ma and X. Wu, “Maximum network flow of multiple description codes”, Proc. of NetCod 2005, Apr. 2005.
N. Sarshar and X. Wu, “Statistical mechanics of optimal networked source coding”, Proc. of NetCod 2005, Apr. 2005.
X. Wu, S. Cheng and Z. Xiong, ``On packetization of embedded multimedia bitstreams'', IEEE Trans. on Multimedia, 2001, vol. 3, pp. 132-140, 2001.

Signal quantization and source coding

· L.Wang, X.Wu, G. Shi, “Binned progressive quantization for compressive sensing", IEEE Trans. on Image Processing, vol. 21, no. 6, pp. 2980-2990, June 2012.

N. Sarshar and X. Wu, “On L∞ properties of multiresolution scalar quantizers”, IEEE Trans. on Information Theory, vol. 56, no. 11, pp. 5805-5810, Nov. 2010.
S. Dumitrescu and X. Wu, "On properties of locally optimal multiple description scalar quantizers with convex cells", IEEE Trans. on Information Theory, vol. 55, no. 12, pp. 5591-5606, Dec. 2009.
S. Dumitrescu and X. Wu, “Lagrangian optimization of two-description scalar quantizers”, IEEE Trans. on Information Theory, vol. 53, no. 11, pp. 3990-4012, Nov. 2007.
M. Xue, X. Wu, P. Franti, “Context quantization by kernel Fisher discriminant”, IEEE Trans. on Image Processing, vol. 15, no. 1, pp. 169-177, Jan. 2006.
S. Dumitrescu and X. Wu, “Optimal two-description scalar quantizer design”, Algorithmica, vol. 41, no. 4, pp. 269-287, Feb. 2005.
S. Dumitrescu and X. Wu, “Algorithms for optimal multi-resolution quantization", Journal of Algorithms, vol. 50, no. 1, pp. 1-22, Jan. 2004.
D. Chen, Y. Chiang, N. Memon, X. Wu, “Alphabet partitioning techniques for semi-adaptive Huffman coding of large alphabets”, IEEE Trans. on Communications, vol. 55, no. 3, March 2007.
S. Forchhammer, X. Wu, and J. D. Andersen, "Optimal context quantization in lossless compression of image data sequences", IEEE Trans. on Image Processing, vol. 13, no. 4, pp. 509-517, Apr. 2004.
X. Wu, ``Optimal binary vector quantization via enumeration of covering codes'', IEEE Trans. on Information Theory, vol. 43, no. 2, pp. 638-645, March 1997.
X. Wu, "YIQ vector quantization in a new color palette architecture", IEEE Trans. on Image Processing, vol. 5. no. 2, pp. 321-329, 1996.
X. Wu and K. Zhang, "Quantizer monotonicities and quantizer design algorithms", IEEE Trans. on Information Theory, vol. 39, no. 3, pp. 1049-1053, May 1993.
X. Wu, "Color quantization by dynamic programming and principal analysis", ACM Trans. on Graphics, vol. 11, no. 4 (TOG special issue on color), pp. 348-372, Oct. 1992.
X. Wu, "On convergence of Lloyd's method I", IEEE Trans. on Information Theory, vol. 38, no. 1, pp. 171-174, Jan. 1992.
X. Wu, "Optimal quantization by matrix-searching," Journal of Algorithms, vol. 12, no. 4, pp. 663-673, Dec. 1991.

Biomedical Imaging

X. Wu and T. Qiu, “Wavelet coding of volumetric medical images for high throughput and operability”, IEEE Trans. on Medical Imaging, vol. 24, no. 6, pp. 719-727, June 2005.
X. Wu, S. Dumitrescu, P. Biyani, and Q. Wu, “Fast chromosome karyotyping by auction algorithm”, Int. J. of Bioinformatics and Applications, vol. 2, no. 3, 2006.
P. Biyani, X. Wu and A. Sinha, “Joint classification and pairing of human chromosomes”, IEEE/ACM Trans. on Computational Biology and Bioinformatics, vol. 2, no. 2, pp. 102-109, Apr. 2005.
Z. Xiong, X. Wu, S. Cheng, and J. Hua, "Lossy-to-lossless compression of medical volumetric data using 3D integer wavelet transforms", IEEE Transactions on Medical Imaging, vol. 22, pp. 459-470, March 2003.

Steganalysis and Watermarking

S. Dumitrescu and X. Wu, “A new framework of LSB steganalysis of digital media”, IEEE Trans. on Signal Processing, vol. 53, no. 10, pp. 3923-3935, Oct., 2005.
S. Dumitrescu, X. Wu, and Z. Wang, "Detection of LSB steganography via sample pair analysis", IEEE Transactions on Signal Processing, pp. 1995-2007, July 2003.
X. Wu, "Semantically transparent fingerprinting for copyright protection of digital cinema", Proc. of 2003 SPIE Conference on Electronic Imaging, Santa Clara, CA., vol. 5020, pp. 574-579, Feb. 2003.