Shaojun Wang

Publications
Under review Consistency and generalization bounds for maximum entropy Estimation S. Wang, R. Greiner and S. Wang. [abstract] [Long Version][Short Version] Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields S. Wang, S. Wang R. Greiner, D. Schuurmans and L. Cheng. [pdf] The latent maximum entropy principle S. Wang, D. Schuurmans and Y. Zhao. [pdf] 2008 Boosting with incomplete information G. Haffari, Y. Wang, S. Wang, G. Mori and F. Jiao The 25th International Conference on Machine Learning, ICML-2008. [pdf] Segmenting brain tumors using pseudo--conditional random fields C. Lee, S. Wang, A. Murtha, M. Brown and R. Greiner The 11th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI-2008. [pdf] Constrained classification on structured data C. Lee, M. Brown, R. Greiner, S. Wang and A. Murtha The 23th AAAI Conference on Artificial Intelligence, AAAI-2008. Unsupervised discovery of compound entities for relationship extraction C. Ramakrishnan, P. Mendes, S. Wang and A. Sheth The 16th International Conference on Knowledge Engineering and Knowledge Management Knowledge Patterns, EKAW-2008. 2006 Almost sure convergence of Titterington's recursive estimator for finite mixture S. Wang and Y. Zhao Statistics & Probability Letters, Vol. 76, No. 18, pp. 2001-2006, December 2006. [pdf] Learning to model spatial dependency: Semi-supervised discriminative random fields C. Lee, S. Wang, F. Jiao, D. Schuurmans and R. Greiner Advances in Neural Information Processing Systems, NIPS-2006. [pdf] Implicit online learning with kernels L. Cheng, S. Vishwanathan, D. Schuurmans, S. Wang and T. Caelli Advances in Neural Information Processing Systems, NIPS-2006. [pdf] Stochastic analysis of lexical and semantic enhanced structural language model S. Wang, S. Wang, L. Cheng, R. Greiner and D. Schuurmans The 8th International Colloquium on Grammatical Inference, ICGI-2006. [pdf] Semi-supervised conditional random fields for improved sequence segmentation and labeling F. Jiao, S. Wang, C. Lee, R. Greiner and D. Schuurmans The Joint 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL-2006. [pdf] Using query-specific variance estimates to combine Bayesian classifiers C. Lee, R. Greiner and S. Wang The 23th International Conference on Machine Learning, ICML-2006. [pdf] An online discriminative approach to background subtraction L. Cheng, S. Wang, D. Schuurmans, T. Caelli and S. Vishwanathan IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS-2006. [pdf] 2005 Consistency and generalization bounds for maximum entropy density estimation S. Wang, R. Greiner and S. Wang The 16th International Conference on Algorithmic Learning Theory, ALT-2005. Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields S. Wang, S. Wang, R. Greiner, D. Schuurmans and L. Cheng The 22th International Conference on Machine Learning, ICML-2005. [pdf] Variational Bayesian image modelling L. Cheng, F. Jiao, D. Schuurmans and S. Wang The 22th International Conference on Machine Learning, ICML-2005. [pdf] Combining statistical language models via the latent maximum entropy principle S. Wang, D. Schuurmans, F. Peng and Y. Zhao Machine Learning Journal: Special Issue on Learning in Speech and Language Technologies, Vol. 60, pp. 229-250, 2005. [pdf] 2004 Learning mixture models with the regularized latent maximum entropy principle S. Wang, D. Schuurmans, F. Peng and Y. Zhao IEEE Trans. on Neural Networks: Special Issue on Information Theoretic Learning, Vol. 15, No. 4, pp. 903-916, 2004. [pdf] Augmenting naive Bayes text classifier using statistical n-gram language modeling F. Peng, D. Schuurmans and S. Wang Information Retrieval, Vol. 7, No. 3-4, pp. 317-345, 2004. [pdf] 2003 Learning continuous latent variable models with Bregman divergence S. Wang and D. Schuurmans The 14th International Conference on Algorithmic Learning Theory, ALT-2003. [pdf] Boltzmann machine learning with the latent maximum entropy principle S. Wang, D. Schuurmans, F. Peng and Y. Zhao The Nineteenth Conference on Uncertainty in Artificial Intelligence, UAI-2003. [ps] Learning mixture models with the latent maximum entropy principle S. Wang, D. Schuurmans, F. Peng and Y. Zhao The 20th International Conference on Machine Learning, ICML-2003. [ps] Semantic n-gram language modeling with the latent maximum entropy principle S. Wang, D. Schuurmans, F. Peng and Y. Zhao International Conference on Acoustics, Speech, ans Signal Processing, ICASSP-2003. [ps] Language and task independent text categorization with simple language models F. Peng, D. Schuurmans, S. Wang North American Chapter of the Association for Computational Linguistics, NAACL-2003. Language independent authorship attribution with character level n-Gram language modeling F. Peng, D. Schuurmans, S. Wang The 10th Conference of the European Chapter of the Association for Computational Linguistics, EACL-2003. 2002 The latent maximum entropy principle S. Wang, R. Rosenfeld, Y. Zhao and D. Schuurmans IEEE International Symposium on Information Theory, ISIT-2002. Abstract[ps], [ps] Almost sure convergence of Titterington's recursive estimator for finite mixture models S. Wang and Y. Zhao IEEE International Symposium on Information Theory, ISIT-2002. Predicting oral reading miscues J. Mostow, J. Beck, V. Winter, S. Wang and B. Tobin International Conference on Spoken Language Processing, ICSLP-2002. 2001 On-line Bayesian tree-structured transformation of HMMs with optimal model selection for speaker adaptation S. Wang and Y. Zhao IEEE Trans. on Speech and Audio Processing, Vol. 9, No. 6, pp. 663-677, September 2001. [pdf] Latent maximum entropy principle for statistical language modeling S. Wang, R. Rosenfeld and Y. Zhao IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU-2001. Recursive estimation of time-varying environments for robust speech recognition Y. Zhao, S. Wang and K. Yen IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-2001. 2000 Optimal on-line Bayesian model selection for speaker adaptation S. Wang and Y. Zhao International Conference on Spoken Language Processing, ICSLP-2000. On-line Bayesian speaker adaptation by using tree-structured transformation and robust priors S. Wang and Y. Zhao IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-2000. 1999 On-line Bayesian tree-structured transformation of hidden Markov models for speaker adaptation S. Wang and Y. Zhao IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU-1999. A unified framework for recursive maximum likelihood estimation of hidden Markov models S. Wang and Y. Zhao The 33rd Annual Conference on Information Sciences and Systems, CISS-1999. 1998 On convergence of maximum likelihood estimation of binary HMMs by EM algorithm M. Li, S. Wang and Y. Zhao The 32rd Annual Conference on Information Sciences and Systems, CISS-1998, pp. 1018-1024. 1995 Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation S. Wang, S. Shahidehpour, D. Kirschen, S. Mokhtari and G. Irisarri IEEE Trans. on Power Systems, Vol. 10, No. 3, pp. 1294-1301, August 1995. [pdf] Probabilistic marginal cost curve and its applications S. Wang, S. Shahidehpour and N. Xiang IEEE Trans. on Power Systems, Vol. 10, No. 3, pp 1321-1328, August 1995. [pdf] Manuscript On determination of domains of convergence for the EM algorithm S. Wang and Y. Zhao [ps]