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Yulan He: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yulan He, Siu Cheung Hui, Edmund Ming-Kit Lai
    Automatic Timetabling Using Artificial Immune System. [Citation Graph (0, 0)][DBLP]
    AAIM, 2005, pp:55-65 [Conf]
  2. Yulan He, Siu Cheung Hui, Yongxiang Sim
    A Novel Ant-Based Clustering Approach for Document Clustering. [Citation Graph (0, 0)][DBLP]
    AIRS, 2006, pp:537-544 [Conf]
  3. Deyu Zhou, Yulan He, Chee Keong Kwoh
    Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2006, pp:718-725 [Conf]
  4. Yulan He, Siu Cheung Hui, Alvis Cheuk M. Fong
    Mining a Web Citation Database for Document Clustering. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2002, v:16, n:4, pp:283-302 [Journal]
  5. Yulan He, Siu Cheung Hui, Alvis Cheuk M. Fong
    Citation-Based Retrieval for Scholarly Publications. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2003, v:18, n:2, pp:58-65 [Journal]
  6. Yulan He, Siu Cheung Hui
    Mining a Web Citation Database for author co-citation analysis. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 2002, v:38, n:4, pp:491-508 [Journal]
  7. Yulan He, Steve Young
    Spoken language understanding using the Hidden Vector State Model. [Citation Graph (0, 0)][DBLP]
    Speech Communication, 2006, v:48, n:3-4, pp:262-275 [Journal]
  8. Yulan He, Steve Young
    Semantic processing using the Hidden Vector State model. [Citation Graph (0, 0)][DBLP]
    Computer Speech & Language, 2005, v:19, n:1, pp:85-106 [Journal]
  9. Deyu Zhou, Yulan He, Chee Keong Kwoh
    Training the Hidden Vector State Model from Un-annotated Corpus. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2007, pp:378-385 [Conf]
  10. Deyu Zhou, Yulan He, Chee Keong Kwoh, Hao Wang
    Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:198-205 [Conf]
  11. Deyu Zhou, Yulan He, Chee Keong Kwoh
    Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction. [Citation Graph (0, 0)][DBLP]
    CIDM, 2007, pp:674-680 [Conf]

  12. Joint sentiment/topic model for sentiment analysis. [Citation Graph (, )][DBLP]


  13. A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus. [Citation Graph (, )][DBLP]


  14. Recent Developments in Information Retrieval. [Citation Graph (, )][DBLP]


  15. Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model. [Citation Graph (, )][DBLP]


  16. Protein-Protein Interactions Classification from Text via Local Learning with Class Priors. [Citation Graph (, )][DBLP]


  17. Goal Detection from Natural Language Queries. [Citation Graph (, )][DBLP]


  18. Exploring ant-based algorithms for gene expression data analysis. [Citation Graph (, )][DBLP]


  19. Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions. [Citation Graph (, )][DBLP]


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