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Shaojun Wang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans
    Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  2. Shaojun Wang, Dale Schuurmans
    Learning Continuous Latent Variable Models with Bregman Divergences. [Citation Graph (0, 0)][DBLP]
    ALT, 2003, pp:190-204 [Conf]
  3. Fuchun Peng, Dale Schuurmans, Vlado Keselj, Shaojun Wang
    Language Independent Authorship Attribution with Character Level N-Grams. [Citation Graph (0, 0)][DBLP]
    EACL, 2003, pp:267-274 [Conf]
  4. Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans
    Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. [Citation Graph (0, 0)][DBLP]
    ICGI, 2006, pp:97-111 [Conf]
  5. Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
    Variational Bayesian image modelling. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:129-136 [Conf]
  6. Chi-Hoon Lee, Russell Greiner, Shaojun Wang
    Using query-specific variance estimates to combine Bayesian classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:529-536 [Conf]
  7. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
    Learning Mixture Models with the Latent Maximum Entropy Principle. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:784-791 [Conf]
  8. Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng
    Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:948-955 [Conf]
  9. Fuchun Peng, Dale Schuurmans, Shaojun Wang
    Language and Task Independent Text Categorization with Simple Language Models. [Citation Graph (0, 0)][DBLP]
    HLT-NAACL, 2003, pp:- [Conf]
  10. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
    Boltzmann Machine Learning with the Latent Maximum Entropy Principle. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:567-574 [Conf]
  11. Fuchun Peng, Xiangji Huang, Dale Schuurmans, Shaojun Wang
    Text classification in Asian languages without word segmentation. [Citation Graph (0, 0)][DBLP]
    IRAL, 2003, pp:41-48 [Conf]
  12. Bhaba R. Sarker, A. M. M. Jamal, Shaojun Wang
    Supply chain models for perishable products under inflation and permissible delay in payment. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 2000, v:27, n:1, pp:59-75 [Journal]
  13. Fuchun Peng, Dale Schuurmans, Shaojun Wang
    Augmenting Naive Bayes Classifiers with Statistical Language Models. [Citation Graph (0, 0)][DBLP]
    Inf. Retr., 2004, v:7, n:3-4, pp:317-345 [Journal]
  14. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
    Combining Statistical Language Models via the Latent Maximum Entropy Principle. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:229-250 [Journal]
  15. Shaojun Wang, Bhaba R. Sarker
    Optimal models for a multi-stage supply chain system controlled by kanban under just-in-time philosophy. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2006, v:172, n:1, pp:179-200 [Journal]
  16. Shaojun Wang, Bhaba R. Sarker
    An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2005, v:162, n:1, pp:153-172 [Journal]
  17. Shaojun Wang, Bhaba R. Sarker, Lawrence Mann, Evangelos Triantaphyllou
    Resource planning and a depot location model for electric power restoration. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2004, v:155, n:1, pp:22-43 [Journal]
  18. Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner
    Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:793-800 [Conf]
  19. Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli
    implicit Online Learning with Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:249-256 [Conf]

  20. Constrained Classification on Structured Data. [Citation Graph (, )][DBLP]


  21. An Online Discriminative Approach to Background Subtraction. [Citation Graph (, )][DBLP]


  22. Unsupervised Discovery of Compound Entities for Relationship Extraction. [Citation Graph (, )][DBLP]


  23. Boosting with incomplete information. [Citation Graph (, )][DBLP]


  24. Information theoretic regularization for semi-supervised boosting. [Citation Graph (, )][DBLP]


  25. Segmenting Brain Tumors Using Pseudo-Conditional Random Fields. [Citation Graph (, )][DBLP]


  26. Monetizing User Activity on Social Networks - Challenges and Experiences. [Citation Graph (, )][DBLP]


  27. Fuzzy Petri Net-Based Evaluation to the Process of ERP Implementation. [Citation Graph (, )][DBLP]


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