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Zhaohui Zheng: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun
    Incorporating query difference for learning retrieval functions in world wide web search. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:307-316 [Conf]
  2. Xiaoyun Wu, Rohini K. Srihari, Zhaohui Zheng
    Document Representation for One-Class SVM. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:489-500 [Conf]
  3. Zhaohui Zheng, Rohini K. Srihari, Sargur N. Srihari
    A Feature Selection Framework for Text Filtering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:705-708 [Conf]
  4. Zhaohui Zheng, Sargur N. Srihari
    Text Categorization Using Modified-CHI Feature Selection and Document/Term Frequencies. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2002, pp:143-146 [Conf]
  5. Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun
    Incorporating query difference for learning retrieval functions in information retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:721-722 [Conf]
  6. Zhaohui Zheng, Xiaoyun Wu, Rohini K. Srihari
    Feature selection for text categorization on imbalanced data. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:1, pp:80-89 [Journal]
  7. Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha
    A regression framework for learning ranking functions using relative relevance judgments. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2007, pp:287-294 [Conf]

  8. Session Based Click Features for Recency Ranking. [Citation Graph (, )][DBLP]


  9. Incorporating robustness into web ranking evaluation. [Citation Graph (, )][DBLP]


  10. Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions. [Citation Graph (, )][DBLP]


  11. Multi-task learning for learning to rank in web search. [Citation Graph (, )][DBLP]


  12. Stochastic gradient boosted distributed decision trees. [Citation Graph (, )][DBLP]


  13. Adapting ranking functions to user preference. [Citation Graph (, )][DBLP]


  14. Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query. [Citation Graph (, )][DBLP]


  15. A General Boosting Method and its Application to Learning Ranking Functions for Web Search. [Citation Graph (, )][DBLP]


  16. Enhancing topical ranking with preferences from click-through data. [Citation Graph (, )][DBLP]


  17. Global ranking by exploiting user clicks. [Citation Graph (, )][DBLP]


  18. Comparing both relevance and robustness in selection of web ranking functions. [Citation Graph (, )][DBLP]


  19. Active learning for ranking through expected loss optimization. [Citation Graph (, )][DBLP]


  20. Investigation of partial query proximity in web search. [Citation Graph (, )][DBLP]


  21. Time is of the essence: improving recency ranking using Twitter data. [Citation Graph (, )][DBLP]


  22. Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM. [Citation Graph (, )][DBLP]


  23. IntervalRank: isotonic regression with listwise and pairwise constraints. [Citation Graph (, )][DBLP]


  24. Early exit optimizations for additive machine learned ranking systems. [Citation Graph (, )][DBLP]


  25. Towards recency ranking in web search. [Citation Graph (, )][DBLP]


  26. Empirical Exploitation of Click Data for Task Specific Ranking. [Citation Graph (, )][DBLP]


  27. Learning to Blend by Relevance [Citation Graph (, )][DBLP]


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