LIST OF RESEARCH ARTICLES
Chernoff, H. and Wu, Y. N. (1994)
Bounds on inconsistent inferences for sequences of trials with varying probabilities.
In Probability, Statistics and Optimisation, Edited by F. P. Kelly. John Wiley & Sons.
351-366.
Wu, Y. N. (1995)
Random shuffling: a new approach to matching problem.
Proceedings of American Statistical Association, 69-74.
Rubin, D. B. and Wu, Y. N. (1997)
Modeling schizophrenic behavior using general mixture components.
Biometrics, 53, 243-261.
Zhu, S. C., Wu, Y. N., and Mumford, D. B. (1997)
Filter, Random field, And Maximum Entropy (FRAME):
towards a unified theory for texture modeling.
International Journal of Computer Vision, 27, 107-126.
Zhu, S. C., Wu, Y. N., and Mumford, D. B. (1998)
Minimax entropy principle and its application to texture modeling.
Neural Computation, 9, 1627-1660.
Liu, C., Rubin, D. B., and Wu, Y. N. (1998)
Parameter expansion to accelerate EM - the PX-EM algorithm.
Biometrika, 85, 755-770.
Liu, J. S. and Wu, Y. N. (1999)
Parameter expansion for data augmentation.
Journal of the American Statistical Association, 94, 1264-1274.
Wu, Y. N., Zhu, S. C., and Liu, X. (1999)
Equivalence of Julesz and Gibbs texture ensembles.
Proceedings of International Conference of Computer Vision, 1025-1032.
Matthysse S., Levy D. L., Wu Y. N., Rubin D. B., and Holzman P. (1999)
Intermittent degradation in performance in schizophrenia,
Schizophrenic Research, 40, 131-146.
Zhu, S. C., Liu, X., and Wu, Y. N. (2000)
Exploring texture ensembles by efficient Markov chain Monte Carlo
- towards a `trichromacy' theory of texture.
IEEE Pattern Analysis and Machine Intelligence, 22, 554-569.
Wu, Y. N., Zhu, S. C., and Liu, X. (2000)
Equivalence of Julesz ensembles and FRAME models.
International Journal of Computer Vision, 38, 245-261.
Pinheiro J., Liu, C., and Wu, Y. N. (2001)
Efficient algorithms for robust estimation in linear mixed-effects models
using the multivariate t-distribution.
Journal of Computational and Graphical Statistics, 10, 249-276.
Yuille, A. L., Coughlan, J., Wu, Y. N., and Zhu, S. C. (2001)
Order parameters for detecting target curves in images:
when does high level knowledge help?
International Journal of Computer Vision. 41, 9-33.
Soatto, S., Doretto, G., and Wu, Y. N. (2001) Dynamic textures.
Proceedings of International Conference of Computer Vision. 439-447.
Saisan, P., Doretto, G., Wu, Y. N., and Soatto, S. (2001)
Dynamic texture recognition.
Proceedings of Computer Vision and Pattern Recognition, 2001.
Wu, Y. N., Zhu, S. C., and Guo, C. (2002)
Statistical modeling of texture sketch.
Proceedings of European Conference of Computer Vision, 240-254.
Zhu, S. C., Guo, C., Wu, Y. N. and Wang, Y. (2002)
What are textons? Proceedings of European Conference of Computer Vision, 793-807.
Doretto, G., Chiuso, A, Wu, Y. N. and Soatto, S., (2003)
Dynamic textures.
International Journal of Computer Vision. 51, 91-109.
Guo, C., Zhu, S. C., and Wu, Y. N. (2003)
Visual learning by integrating descriptive and generative models.
International Journal of Computer Vision. 53, 5-29.
Guo, C., Zhu, S. C., and Wu, Y. N. (2003)
Towards a mathematical theory of primal sketch and sketchability.
Proceedings of International Conference of Computer Vision. 1228-1235.
Wu, Y. N., Guo, C. E., and Zhu, S. C. (2004)
Perceptual scaling.
Applied Bayesian Modeling and Causal Inference from an Incomplete Data Perspective,
Eds. Gelman and Meng, John Wiley.
Guo, C., Wu, Y. N., and Zhu, S. C. (2004)
Information scaling laws in natural scenes.
Proceedings of 2nd Workshop on Generative Model Based Vision. Washington, DC.
Kim, T. H, Barrera, L. O., Zheng, M., Qu, C., Singer, M. A.,
Richmand, T. A., Wu, Y. N., Green, R. G. and Ren, B. (2005)
A High-resolution map of active promoters in the human genome,
Nature, 436, 876-880.
Xing, Y. Yu, T., Wu, Y. N., Roy, M., Kim, J. and Lee C. (2006)
An expectation-maximization algorithm for probabilistic
reconstructions of full-length isoforms from splice graphs.
Nucleic Acid Research, 34, 3150-3160.
Guo, C., Zhu, S. C. and Wu, Y. N. (2007)
Primal sketch: integrating structure and texture.
Computer Vision and Image Understanding, 106, 5-19.
Li, J., Yang. X., Wu, Y. N. and Shoptaw, S. (2007)
A random-effect Markov transition model for Poisson-distributed
repeated measures with nonignorable missing values.
Statistics in Medicine, 26, 2519-2532.
Zheng, M., Barrera, L. O., B. Ren, and Wu, Y. N. (2007)
ChIP-chip: data, model, and analysis. Biometrics, 63, 787-796.
Wu, Y. N., Li, J., Liu, Z., and Zhu, S. C. (2007)
Statistical principles in image modeling. Technometrics, 49, 249-261.
Chen, R. B. and Wu, Y. N. (2007)
A null-space algorithm for overcomplete blind source separation.
Computational Statistics and Data Analysis, 51, 5519-5536.
Wu, Y. N., Si, Z., Fleming, C., and Zhu, S. C. (2007)
Deformable template as active basis. Proceedings of International
Conference of Computer Vision.
Wu, Y. N., Guo, C., and Zhu, S. C. (2008)
From information scaling to regimes of statistical models.
Quarterly of Applied Mathematics, 66, 81-122.
Wu, Y. N., Si, Z., Gong, H., and Zhu, S. C. (2008)
Active basis for modeling, learning and
recognizing deformable templates.