Conference Papers

Ho, S. M., Timmarajus, S. S., Burmester, M., & Liu, X. (2014). "Dyadic Attribution: A Theoretical Model for Interpreting Online Words and Actions." In International Conference on Social Computing, Behavioral Modeling, and Prediction, pp. 277-284, Springer.

Jonathan Jenkins, Sean Easton, David Guidry, Mike Burmester, Xiuwen Liu, Xin Yuan, Joshua Lawrence, and Sereyvathana Ty (2013). "Trusted Group Key Management For Real-Time Critical Infrastructure Protection." IEEE Military and Commercial Communications Conference (MILCOM), November 2013, San Diego.

Burmester, M., Lawrence, J., Guidry, D., Easton, S., Ty, S., Liu, X., Yuan, Y., & Jenkins, J. (2013). "Towards a Secure Electricity Grid." In IEEE International Conference on Intelligent Sensors, Sensor Networks and Information. IEEE.

Yuan, J., & Liu, X. (2013). "Transform residual k-means trees for scalable clustering. In the Workshop on High Dimensional Data Mining." IEEE.

Liu, X., Zhang, Y., Liu, T., & Dennis, J. (2012). "One-base-pair Localization of Nucleosomes." In IEEE International Conference on Bioinformatics and Biomedicine. IEEE.

Yuan, J., Gravier, G., Campion, S., Liu, X., & Jégou, H. (2012). E "Efficient mining of repetitions in large scale TV streams with product quantization hashing." In Workshop on Web-scale Vision and Social Media, ECCV 2012. ECCV.

Zhang, Y., Liu, X., & Dennis, J. (2012). "Quantitative Models for Statistical Nucleosome Occupancy Prediction." In IEEE International Conference on Bioinformatics and Biomedicine. IEEE.

Allen, J. D., Ty, S., Liu, X., Lozano, I., & Yuan, X. (2012). A Cyber-Physical Approach to a Wide-Area Actionable System for the Power Grid. In Military Communications Conference (pp. 1337--1342). IEEE.

Guidry, D., Burmester, M., Yuan, Y., Liu, X., Jenkins, J., Easton, S., & Ty, S. (2012). Techniques for Securing Substation Automation Systems. In 7th Intern. Workshop on Critical Information Infrastructures Security. Springer.

Yuan, J., & Liu, X. (2012). A novel index structure for large scale image descriptor search. In Interional Conference on Image Processing. IEEE.

Allen, J. D., Liu, X., & Ty, S. (2011). System approach to steganalysis. In Proceedings of Mobile Multimedia/Image Processing, Security, and Applications (pp. 1-4). SPIE.

Allen, J. D., Ty, S., Liu, X., & Lozano, I. (2011). Preventing cascading event: a distributed cyber-physical approach. In Proceedings of the ACM Annual Workshop on Cyber Security and Information Intelligence Research (pp. 1-3). ACM.

J. Bates, D. Pafundi, P. Kanel, X. Liu, and W. Mio, ``Spectral signatures of point clouds and applications to detection of alzheimer's disease through neuroimaging,'' International Symposium on Biomedical Imaging (ISBI), 2011.

Xinyang Liu, Xiuwen Liu, Y. Shi, P. Thompson, W. Mio, ``A model of volumetric shape for the analysis of longitudinal Alzheimer's disease data ,'' European Conference on Computer Vision (ECCV), Heraklion, Greece, 2010.

J. Bates, X. Liu, W. Mio, ``Scale-space spectral representation of shape,'' International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010.

X. Liu, Y. Shi, Y. Wang, P.M. Thompson, W. Mio, ``A Riemannian model of regional degeneration of the hippocampus in Alzheimer's disease,'' International Symposium on Biomedical Imaging (ISBI), Rotterdam, Netherlands, 2010.

Yu Zhang, Xiuwen Liu, Justin Fincher, and Jonathan H. Dennis, "DNA sequence feature selection for intrinsic nucleosome positioning signals using AdaBoost," ACM International Conference On Bioinformatics and Computational Biology, 2010.

C. Hekimian-Williams, B. Grant, X. Liu, Z. Zhang, and P. Kumar, ``Accurate localization of RFID tags using phase difference,'' IEEE International Conference on RFID, 2010.

Yiming Wu, Xiuwen Liu, and Washington Mio, ``Linear representation learning using sphere factor analysis,'' The Eighth International Conference on Machine Learning and Applications, 2009.

C. Ordonez, O. Y. Chuy Jr., E. G. Collins Jr., and X. Liu, "Rut detection and following for autonomous ground vehicles," Proceedings of Robotics: Science and Systems, 2009.

Xinyang Liu, Y. Shi, J. Morra, Xiuwen Liu, P. Thompson, W. Mio, ``Mapping hippocampal atrophy with a multi-scale model of shape,'' IEEE International Symposium on Biomedical Imaging, 2009.

J. Bates, Y. Wang. X. Liu, W. Mio, ``Registration of contours of brain structures through a heat-kernel representation of shape,'' IEEE International Symposium on Biomedical Imaging, 2009.

Q. Yue, Y. Wang, X. Liu, W. Mio, ``Spherical representations of shape using parametrizations with minimal distortion,'' IEEE International Symposium on Biomedical Imaging, 2009.

Y. Zhu, W. Mio, and X. Liu, ``Optimal dimension reduction for image retrieval with correlation metrics,'' International Joint Conference on Neural Networks, 2009.

Y. Zhu, X. Liu, and W. Mio, ``Image retrieval based on intrinsic spectral histogram representations,'' International Joint Conference on Neural Networks, 2009.

Y. Zhu, W. Mio, X. Liu, ``Optimal factor analysis and applications to content-based image retrieval,'' Communications in Computer and Information Science (CCIS), Springer, vol. 21, Part 2, pp. 164--176, 2009.

Xinyang Liu, W. Mio, Y. Shi, I. Dinov, Xiuwen Liu, N. Lepore, F. Lepore, M. Fortin, P. Voss, M. Lassonde, P. Thompson, ``Models of Normal Variation and Local Contrasts in Hippocampal Anatomy,'' MICCAI, Lecture Notes in Computer Science 5242 (Eds. D. Metaxas et al.), 407-415, 2008.

X. Liu, A. Donate, M. Jemison, and W. Mio, ``Kernel Functions for Robust 3D Surface Registration with Spectral Embeddings,'' IEEE International Conference on Pattern Recognition, 2008.

Y. Zhu, Y. Wu, X. Liu, and W. Mio, ``Transductive Optimal Component Analysis,'' IEEE International Conference on Pattern Recognition, 2008.

A. Donate, Y. Wang, X. Liu, and E. Collins, ``Efficient and Accurate Subpixel Path Based Stereo Matching,'' IEEE International Conference on Pattern Recognition, 2008.

Y. Wu, X. Liu and W. Mio, ``Scalable optimal linear representation for face and object recognition,'' IEEE International Conference on Machine Learning and Applications, 2007.

W. Mio, J. C. Bowers, M. Hurdal, and X. Liu, ``Modeling brain anatomy with 3D arrangements of curves,'' in the Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, 2007.

Y. Zhu, X. Liu, and W. Mio, ``Content-based image categorization and retrieval using neural networks,'' in the Proceedings of the IEEE International Conference on Multimedia and Expo, pp. 528--531, 2007.

W. Mio. Y. Zhu, and X. Liu, ``A learning approach to content-based image categorization and retrieval,'' In Proc. 2nd International Conference on Computer Vision Theory and Applications} (VISAPP), Barcelona, Spain, 2007.

X. Liu, J. Bowers, and W. Mio, ``Parametrization, alignment and shape of spherical surfaces,'' In the Proceedings of the 2nd International Conference on Computer Vision Theory and Applications} (VISAPP), Barcelona, Spain, pp. 199-206, 2007.

Y. Wu, X. Liu, and W. Mio, ``Multi-stage optimal component analysis,'' in the Proceedings of the Joint International Conference on Neural Networks, 2007.

W. Mio and X. Liu, ``Landmark Representation of Shapes and Fisher-Rao Geometry,'' In Proc. 13th International Conference on Image Processing (ICIP), Atlanta, GA, 2006.

X. Liu and W. Mio, ``Splitting Factor Analysis and Multi-Class Boosting,'' In Proc. 13th International Conference on Image Processing (ICIP), Atlanta, GA, 2006.

K. Haynes, X. Liu, and W. Mio, ``Recognition Using Rapid Classification Trees,'' In Proc. 13th International Conference on Image Processing (ICIP), Atlanta, GA, 2006.

Y. Wu, X. Liu, W. Mio, and K. Gallivan, ``Two-Stage Optimal Component Analysis,'' In Proc. 13th International Conference on Image Processing (ICIP), Atlanta, GA, 2006.

C. Waring and X. Liu, ``Rotation invariant face detection using spectral histograms,'' In Proc. 13th International Conference on Image Processing (ICIP), Atlanta, GA, 2006.

X. Liu and W. Mio, ``Kernel methods for nonlinear discriminative analysis,'' In Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005.

W. Mio, D. Badlyans, and X. Liu, ``A computational approach to Fisher information geometry with applications to image analysis,'' In Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005.

W. Mio, D. Badlyans, and X. Liu, ``Non-parametric information geometry and multi-scale models of texture,'' In the Proceedings of the European Signal Processing Conference, 2005.

W. Mio, Q. Zhang and X. Liu, ``Nonlinearity and optimal component analysis,'' In the Proceedings of the International Conference on Neural Networks, pp. 220--225, 2005.

X. Liu and A. Srivastava, "Applications of Stochastic Algorithms for Optimal Linear Representations", In the Proceedings of ECCV Workshop on Statistical Learning in Computer Vision, 2004.

Q. Zhang and X. Liu, ``Kernel optimal component analysis,'' In the Proceedings of the IEEE Workshop on Learning in Computer Vision and Pattern Recognition, 2004.

A. Srivastava,X. Liu, W. Mio, and E. Klassen, ``Efficient computational approaches to planar shape theory,'' In the Proceedings of Neural Information Processing Systems, 2003.

X. Liu and A. Srivastava, ``An integrated learning framework for recognition based on images,'' In the Proceedings of the IEEE Workshop on Learning in Computer Vision and Pattern Recognition, pp. 2003.

X. Liu, A. Srivastava, and D. Sun, ``Learning optimal representations for image retrieval applications,'' In the Proceedings of the International Conference on Image and Video Retrieval, 2003.

X. Liu, A. Srivastava, and K. Gallivan, ``Optimal linear representations of images for object recognition,'' In the Proceedings of the International Conference on Computer Vision and Pattern Recognition, vol. I, pp. 229--234, 2003.

X. Liu, A. Srivastava, and D. L. Wang, ``On intrinsic generalization of low dimensional representations of images for recognition,'' In the Proceedings of the International Joint Conference on Neural Networks, 2003.

X. Liu and A. Srivastava, ``Integrated learning of linear representations,'' In the Proceedings of the International Joint Conference on Neural Networks, 2003.

C. Waring and X. Liu, ``Spectral histogram based face detection,'' In the Proceedings of the International Joint Conference on Neural Networks, 2003.

L. Cheng and X. Liu, ``Sparse linear representations for recognition,'' In the Proceedings of the International Joint Conference on Neural Networks, 2003.

Q. Zhang and X. Liu, ``Hierarchical learning of optimal linear representations,'' In the Proceedings of the International Joint Conference on Neural Networks, 2003.

X. Liu and L. Cheng, ``Independent filters for texture classification,'' In the Proceedings of the International Conference on Image Processing, vol. 3, pp. 113--116, 2002.

X. Liu and A. Srivastava, ``Spaces and subspaces of images for recognition,'' In the Proceedings of the International Conference on Image Processing, vol. 3, pp. 313--316, 2002.

X. Liu and A. Srivastava, ``A spectral representation for appearance-based classification and recognition,'' In the Proceedings of the International Conference on Pattern Recognition, vol. 1, pp. 37--40, 2002.

A. Srivastava, X. Liu, and U. Grenander, ``Analytical image models and their applications,'' In the Proceedings of the Seventh European Conference on Computer Vision , vol. 1, pp. 37--51, 2002.

X. Liu and D. L. Wang, ``Appearance-based recognition using perceptual components,'' In the Proceedings of the International Joint Conference on Neural Networks, vol. 3, pp. 1943-1948, 2001.

X. Liu and A. Srivastava, ``3D object recognition using perceptual components,'' In the Proceedings of the International Joint Conference on Neural Networks, vol. 1, pp. 553-558, 2001.

X. Liu and D. L. Wang, ``A spectral histogram model for textons and texture discrimination,'' In the Proceedings of the International Joint Conference on Neural Networks, vol. 2, pp. 1083-1088, 2001.

A. Srivastava, X. Liu, B. Thomasson, and C. Hesher, ``Spectral probability models for IR face recognition,'' In the Proceedings of the International Workshop on Computer Vision Beyond Visual Spectrum, 2001.

X. Liu, D. L. Wang, and A. Srivastava, ``Image segmentation using local spectral histograms,'' In the Proceedings of the International Conference on Image Processing, 2001.

A. Srivastava, X. Liu, and U. Grenander, ``Analytical models for reduced spectral representations of images,'' In the Proceedings of the International Conference on Image Processing, 2001.

S. C. Zhu and X. Liu, ``Learning in Gibbsian fields: How accurate and how fast can it be?'' In the Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2000.

X. Liu and D. L. Wang, ``Perceptual organization based on temporal dynamics,'' Advances in Neural Information Processing Systems 12, S.A. Solla, T. K. Leen, and K.-R. Muller (eds.), MIT Press, pp. 38-44, 2000.

Y. N. Wu, S. C. Zhu, and X. Liu, ``The equivalence of Julesz ensemble and Gibbs ensemble,'' Proceedings of International Conference on Computer Vision, 1999.

S. C. Zhu, X. Liu, and Y. N. Wu, ``Exploring the Julesz ensemble by efficient MCMC,'' Proceedings of Workshop on Statistical and Computational Theories of Vision, 1999.

X. Liu and D. L. Wang, ``Modeling perceptual organization using temporal dynamics,'' Proceedings of the International Joint Conference on Neural Networks, 1999.

X. Liu and D. L. Wang, ``A boundary-pair representation for perception modeling,'' Proceedings of the International Joint Conference on Neural Networks, 1999.

X. Liu, D. L. Wang, and J. R. Ramirez, ``Oriented statistical nonlinear smoothing filter," Proceedings of the International Conference on Image Processing, 1998.

X. Liu, D. L. Wang, and J. R. Ramirez, "Extracting hydrographic objects from satellite images using a two-layer neural network," Proceedings of the 1998 International Joint Conference on Neural Networks, 1998.

X. Liu and D.W. Wang (1997): "Range image segmentation using an oscillatory network," International Conference on Neural Networks pp. 1656-1660, 1997.

J. J. Loomis, X. Liu, Z. Ding, K. Fujimura, M. L. Evans, and H. Ishikawa, "Visualization of plant growth", Proceedings of the 1997 IEEE Conference on Visualization , pp.475-478, 1997.

X. Liu and J. R. Ramirez, "Automatic extraction of hydrographic features in digital orthophoto images," Proceedings of GIS/LIS'1997, pp. 365-373, 1997.

Y Li, B. Zhang, and X. Liu, "A robust motion planner for assembly robots", Proceedings of the IEEE International Conference on Robotics and Automation, vol3, p. 1016, 1993.

Last modified on July 2, 2011