Publications (selected)

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· Yiming Yang, Abhay Harpale and Subramaniam Ganapathyand. Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling (pdf). The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2009.

• Yiming Yang and Abhimanyu Lad. Modeling Expected Utility of Multi-session Information Distillation (pdf). Second International Conference on the Theory of Information Retrieval (ICTIR09), 2009.
• Shinjae Yoo, Yiming Yang, Frank Lin and Il-Chul Moon. Mining Social Networks for Personalized Email Prioritization (pdf). The 15^th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD09), 2009.
• Abhimanyu Lad, Yiming Yang, Rayid Ghani and Bryan Kisiel. Toward Optimal Ordering of Prediction Tasks (pdf). SIAM International Conference on Data Mining (SDM09), pp 883-893, 2009.
• Konstantin Salomatin, Yiming Yang and Abhimanyu Lad. Multi-field Correlated Topic Modeling (pdf). SIAM International Conference on Data Mining (SDM09), pp 628-637, 2009.
• Abhay Harpale and Yiming Yang. Active Learning for Collaborative Filtering [pdf]. ACM SIGIR’08: 91-98.
• Yiming Yang and Thorsten Joachims (2008) Text categorization. [Scholarpedia: Text Categorization], 3(5):4242
• Jian Zhang, Zoubin Ghahramani and Yiming Yang. Flexible Latent Variable Models for Multi-Task Learning. Machine Learning, 2008.
• Abhimanyu Lad, Yiming Yang. Generalizing from Relevance Feedback using Named Entity Wildcards. CIKM 2007
• Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati, Jian Zhang, Jaime Carbonell, Peter Brusilovsky, Daqing He. Utility-based information distillation over temporally sequenced documents. SIGIR 2007: 31-38.
• Yiming Yang, Shinjae Yoo, Jian Zhang and Bryan Kisiel. Robustness of Adaptive Filtering Methods in a Cross-benchmark Evaluation. In the 28th Annual International ACM SIGIR Conference (SIGIR 2005), Brazil, 2005.
• Jian Zhang, Zoubin Ghahramani and Yiming Yang. Learning Multiple Related Tasks using Latent Independent Component Analysis. NIPS 2005.
• Fan Li, Yiming Yang, Eric P. Xing. From lasso regression to feature vector machine. NIPS 2005.
• Fan Li, Yiming Yang. Use modified lasso regressions to learn large undirected graphs in a probabilistic framework. The 20th national conference on artificial intelligence (AAAI 2005).
• Tie-Yan Liu, Yiming Yang, Hao Wan, et al, Support Vector Machines Classification with Very Large Scale Taxonomy, SIGKDD Explorations, Special Issue on Text Mining and Natural Language Processing, vol.7, issue.1, pp36~43, 2005.
• Fan Li, Yiming Yang. Analysis of recursive gene selection approaches from micro-array data (MEDLINE indexed). Journal Bioinformatics, 2005 (to appear).
• Fan Li, Yiming Yang. Using recursive classification to discover predictive features [pdf]. ACM SAC 2005.
• Jian Zhang, Zoubin Ghahramani and Yiming. Yang. A Probabilistic Model for Online Document Clustering with Application to Novelty Detection [pdf]. In Proceedings of NIPS 2004, Vancouver, Canada, 2004.
• Monica Rogati and Yiming Yang. Resource Selection for Domain Specific CLIR [pdf].. ACM SIGIR 2004. 
• Jian Zhang and Yiming Yang. Probabilistic Score Estimation with Piecewise Logistic Regression (ps). International Conference on Machine Learning (ICML), 2004.
• B. Klimt and Y. Yang. The Enron Corpus: A New Dataset for Email Classification Research (pdf) . ECML 2 004.
• Tengli, Y. Yang and N. Ma. Learning Table Extraction from Examples (pdf). COLING 2004.
• N. Ma, Y. Yang & M. Rogati. Applying CLIR Techniques to Event Tracking (pdf). Lecture Notes in Computer Science.  Revised Selected Papers, Information Retrieval Technology: Asia Information Retrieval Symposium (AIRS), 2004.
• D. Lewis, Y. Yang, T. Rose and .F. Li.  RCV1: A New Benchmark Collection for Text Categorization Research (pdf). Journal of Machine Learning Research 5 (2004) 361-397.
• Y. Yang and B. Kisiel. Margin-based Local Regression of Adaptive Filtering (ps.gz) ACM CIKM 2003.
• Y. Yang, J. Zhang and B. Kisiel. A scalability analysis of classifiers in text categorization (ps.gz) ACM SIGIR'03, pp 96-103, 2003.
• F. Li and Y. Yang. A loss function analysis for classification methods in text categorization (ps.gz) The Twentith International Conference on Machine Learning (ICML'03), pp472-479, 2003.
• J. Zhang and Y. Yang. Robustness of regularized linear classification methods in text categorization (ps.gz) ACM SIGIR'03, pp 190-197, 2003.
• J. Zhang, R. Jing, Y. Yang and A. Hauptmann. Monified logistic regression: an approximation to SVM and its application in large-scale text categorization (ps.gz) The Twentith International Conference on Machine Learning (ICML'03), pp888-897, 2003.
• M. Rogati, S. McCarley and Y. Yang. Unsupervised learning of Arabic stemming using a parallel corpus (pdf.gz) ACL'03 pp391-398, 2003.
• Y. Yang, J. Zhang, J. Carbonell and C. Jin. Topic-conditioned Novelty Detection (pdf.gz) ACM SIGKDD Internaltional Conference on Knowledge Discovery and Data Mining, pp 688-693, 2002.
• J. Kubica, A. Moore, J. Schneider and Yiming Yang Stochastic Link and Group Detection (ps.gz) AAAI-02, 2002.
• Thomat Ault and Yiming Yang kNN, Rocchio and Metrics for Information Filtering at TREC-10 (ps.gz) TREC-10 Notes, Nov. 2001.
• Yiming Yang, S. Slattery and R. Ghani. A study of approaches to hypertext categorization (ps.gz) Journal of Intelligent Information Systems, Volume 18, Number 2, March 2002.
• M. Rogati and Y. Yang. High-performing feature selection for text classification (pdf) ACM CIKM 2002.
• R. Ghani, S. Slattery and Yiming Yang. Hypertext categorization using hyperlink patterns and meta data (ps.gz) The Eighteenth International Conference on Machine Learning (ICML'01), pp 178-185, 2001.
• Yiming Yang A study on thresholding strategies for text categorization (ps.gz) Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'01), pp 137-145, 2001.
• M. Rogati and Y. Yang. Cross-Lingual Pseudo-Relevance Feedback Using a Comparable Corpus (rtf) CLEF'01, 2001.
• Yiming Yang, Thomas Ault, Thomas Pierce and Charles W Lattimer. Improving text categorization methods for event tracking (ps.gz). Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'00), pp65-72. 2000.
• Yiming Yang, Thomas Ault, Thomas Pierce. Combining multiple learning strategies for effective cross validation (ps.gz). The Seventeenth International Conference on Machine Learning (ICML'00), pp1167-1182, 2000.
• Yiming Yang, Jaime Carbonell, Ralf Brown, Thomas Pierce, Brian T. Archibald, Xin Liu Learning Approaches for Detecting and Tracking News Events (pdf.gz). IEEE Intelligent Systems: Special Issue on Applications of Intelligent Information Retrieval,Vol. 14(4), pp32-43, July/August 1999.
• Yiming Yang and Xin Liu A re-examination of text categorization methods. Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'99, pp 42--49), 1999.
• Yiming Yang An evaluation of statistical approaches to text categorization. Journal of Information Retrieval, Vol 1, No. 1/2, pp 67--88, 1999.
• Carbonell J., Craven M., Fienberg S., Mitchell T. and Yang Y. CONALD Report on the Workshop on Learning from Text and the Web, June, 1998.
• Allan, J., Carbonell, J.G., Doddington, G., Yamron, J. and Yang Y. Topic Detection and Tracking Pilot Study Final Report, Proceedings of the Broadcast News Transcription and Understranding Workshop (Sponsored by DARPA), Feb. 1998.
• Yang, Y., Carbonell, J. G., Brown, R. and Frederking, R. E. Translingual Information Retrieval: Learning from Bilingual Corpora. Artificial Intelligence Journal special issue: Best of IJCAI-97, 1998, pp323--345.
• Yang, Y., Pierce, T., Carbonell, J. G. A Study on Retrospective and On-line Event Detection. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98).
• Carbonell, J. G., Yang, Y.,. Frederking, R. E., Brown, R., Geng, Y., and Lee, D. Translingual Information Retrieval: a comparative evaluation. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'97 Distinguished Paper Award), 1997.
• Yang, Y., Pedersen J.P. A Comparative Study on Feature Selection in Text Categorization Proceedings of the Fourteenth International Conference on Machine Learning (ICML'97), 1997, pp412-420.
• Yang, Y. An Evaluation of statistical approach to text categorization. Technical Report CMU-CS-97-127, Computer Science Department, Carnegie Mellon University, 1997. (ps.gz)
  
• Yang, Y. Sampling strategies and learning efficiency in text categorization. AAAI Spring Symposium on Machine Learning in Information Access. 1996:88-95.
• Yang, Y., Wilbur W.J. Using corpus statistics to remove redundant words in text categorization (pdf.gz) J Amer Soc Inf Sci. (JASIS) 1996.
  
• Yang, Y. An evaluation of a statistical approaches to MEDLINE indexing. Proceedings of the 1996 Annual Full Symposium of the American Medical Informatics Association (AMIA), 1996:358-362.
  
• Yang, Y. Noise Reduction in a Statistical Approach to Text Categorization. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'95) 1995:256-263.
• Yang, Y., Chute, C.G. An example-based mapping method for text classification and retrieval. (pdf.gz) ACM Transactions on Information Systems (TOIS) 1994;12(3):252-77.
  
• Yang, Y. Expert Network: Effective and efficient learning from human decisions in text categorization and retrieval. (pdf.gz) Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'94) 1994:11-21.
  
• Yang, Y., Chute, C.G. An application of Expert Network to clinical classification and MEDLINE indexing. Proceedings of the 18th Annual Symposium on Computer Applications in Medical Care (SCAMC'94). JAMIA 1994;18(Symp.Suppl):157-61 (Best Theoretical Paper Award).
  
• Yang, Y., Chute, C.G. Words or concepts: The features of indexing units and their optimal use in information retrieval. Proceedings of 17th Annual Symposium on Computer Applications in Medical Care (SCAMC'93), 1993;17:685-9 (Best Theoretical Paper Award).
  
• Yang, Y., Chute, C.G. An application of Least Squares Fit mapping to text information retrieval (pdf.gz). Proceedings of 16th Ann Int ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'93) 1993;281-90.
  
• Yang, Y., Chute, C.G. A Linear Least Squares Fit method for terminology mapping. (pdf.gz) Proceedings of Fifteenth International Conference on Computational Linguistics (COLING'92), 1992;II:447-53.