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2012
Wenbo Wang, Lu Chen, Ming Tan, Shaojun Wang, Amit Sheth. Discovering Fine-grained Sentiment in Suicide Notes. Book: Biomedical Informatics Insights. 2012 ;:137-145.  (234.32 KB)
Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Extracting Diverse Sentiment Expressions with Target-dependent Polarity from Twitter. In International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland: In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM); 2012.  (220.53 KB)
2009
Lei Zheng, Yan Liu, Shaojun Wang. Information Theoretic Regularization for Semi-Supervised Boosting. In Knowledge Discovery and Data Mining - KDD2009. Paris, France; 2009.  (369.35 KB)
Meenakshi Nagarajan, Kamal Baid, Amit Sheth, Shaojun Wang. Monetizing User Activity on Social Networks - Challenges and Experiences. In Beyond Search: Semantic Computing and Internet Economics 2009 Workshop; 2009.  (10.6 MB)
Shaojun Wang, Meenakshi Nagarajan, Kamal Baid, Amit Sheth. Monetizing User Activity on Social Networks - Challenges and Experiences. In Monetizing User Activity on Social Networks - Challenges and Experiences. 2009.  (0 bytes)
2003
Y. Zhao, Shaojun Wang, D. Schuurmans, F. Peng. Boltzmann Machine Learning with the Latent Maximum Entropy Principle. In Boltzmann Machine Learning with the Latent Maximum Entropy Principle. 2003.
Shaojun Wang, F. Peng, D. Schuurmans. Language and Task Independent Text Categorization Using Character Level N-Gram Language Models. 2003 ;.
F. Peng, Shaojun Wang, D. Schuurmans. Language Independent Automated Authorship Attribution with Character Level N-Gram Language Modeling. In Language Independent Automated Authorship Attribution with Character Level N-Gram Language Modeling. 2003.
F. Peng, D. Schuurmans, Shaojun Wang. Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. In 2003.
Shaojun Wang, D. Schuurmans. Learning Continuous Latent Variable Models with Bregman Divergences. In Learning Continuous Latent Variable Models with Bregman Divergences. 2003.
Shaojun Wang, D. Schuurmans. Learning Latent Variable Models with Bregman Divergences. In Learning Latent Variable Models with Bregman Divergences. 2003.
Y. Zhao, Shaojun Wang, F. Peng, D. Schuurmans. Learning Mixture Models with the Latent Maximum Entropy Principle. In Learning Mixture Models with the Latent Maximum Entropy Principle. 2003.
D. Schuurmans, F. Peng, Y. Zhao, Shaojun Wang. Semantic N-gram Language Modeling with the Latent Maximum Entropy Principle. In Semantic N-gram Language Modeling with the Latent Maximum Entropy Principle. 2003.
D. Schuurmans, Shaojun Wang, F. Peng, X. Huang. Text Classification in Asian Languages Without Word Segmentation. In Text Classification in Asian Languages Without Word Segmentation. 2003.
2000
Shaojun Wang, Y. Zhao. On-Line Bayesian Speaker Adaptation By Using Tree-Structured Transformation and Robust Priors. In On-Line Bayesian Speaker Adaptation By Using Tree-Structured Transformation and Robust Priors. 2000.
Shaojun Wang, Y. Zhao. Optimal On-Line Bayesian Model Selection for Speaker Adaptation. In Optimal On-Line Bayesian Model Selection for Speaker Adaptation. 2000.
1999
Shaojun Wang, Y. Zhao. On-Line Bayesian Tree-Structured Transformation of Hidden Markov Models for Speaker Adaptation. In On-Line Bayesian Tree-Structured Transformation of Hidden Markov Models for Speaker Adaptation. 1999.
Shaojun Wang, Y. Zhao. A Unifed Framework for Recursive Maximum Likelihood Estimation of Hidden Markov Models. In A Unifed Framework for Recursive Maximum Likelihood Estimation of Hidden Markov Models. 1999.
1998
Shaojun Wang, M. Li, Y. Zhao. On Convergence of Maximum Likelihood Estimation of Binary HMMs by EM Algorithm. In On Convergence of Maximum Likelihood Estimation of Binary HMMs by EM Algorithm. 1998.

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