Book Chapters

  • Sheng, V.S., & Ling, C.X. Cost-Sensitive Learning. Encyclopedia of Data Warehousing and Mining - 2nd Edition. Editor-in-Chief, John Wang. Ideal Group Inc. 2007. To appear.
  • Ling, C.X., & Sheng, V.S. Cost-Sensitive Learning and the Class Imbalance Problem. Encyclopedia of Machine Learning. Editor-in-Chief, Claude Sammut. Springer. 2007. To appear.
Articles in Peer-refereed Journals

  • Ling, C.X., Sheng, V.S., & Yang, Q. (2006). Test Strategies for Cost-Sensitive Decision Trees. IEEE Transactions on Knowledge and Data Engineering, August 2006 (Vol. 18, No. 8), 1055-1067.
  • Zhang, S., Qin, Z., Ling, C.X., & Sheng, S. (2005). "Missing is Useful": Missing Values in Cost-sensitive Decision Trees. IEEE Transactions on Knowledge and Data Engineering, December 2005 (Vol. 17, No. 12), 1689-1693.
  • Ling, C.X., & Sheng, V.S. (2007). A Comparative Study of Cost-Sensitive Classifiers. Chinese Journal of Computers, July 2007 (Vol. 30, No. 8), 1203-1212.
  • Sheng, S., Kong, H., & Zhou, Z. (2001). Travel Information Agent System. E-Business Review, Vol. 1, 2001, 203-206. The International Academy Of E-Business.
Articles in Peer-refereed Conference Proceedings

  • Sheng, V.S., Provost, F.J., & Ipeirotis, P.G. (2008). Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD08), 614-622, August 24-27, Las Vegas, Nevada, USA. (Acceptance rate: 50/~500 < 10%, Best Paper Award Runner-Up)
  • Sheng, V.S., & Ling, C.X. (2007). Partial Example Acquisition in Cost-Sensitive Learning. Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD07), 638-646, August 12-15, San Jose, California, USA. (Acceptance rate: 1/12, a top data mining conference)
  • Sheng V.S., & Ling, C.X. (2007). Roulette Sampling for Cost-Sensitive Learning. Proceedings of the 18th European Conference on Machine Learning (ECML07), 724-731. September 17-21, Warsaw, Poland.
  • Sheng, V.S., & Ling, C.X. (2006). Feature Value Acquisition in Testing: A Sequential Batch Test Algorithm. Proceedings of the 23rd International Conference on Machine Learning (ICML06), 809-816. June 25-29, Carnegie Mellon University in Pittsburgh, Pennsylvania. (A top machine learning conference)
  • Ling, C.X., Sheng, V.S., Bruckhaus T., & Madhavji, N.H. (2006). Maximum Profit Mining and Its Application in Software Development. Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD06), 929-934. August 20-23, Philadelphia, USA.
  • Sheng, V.S., & Ling, C.X. (2006). Thresholding for Making Classifiers Cost-Sensitive. Proceedings of the 21st National Conference on Artificial Intelligence (AAAI06), 476-481. July 16-20, 2006, Boston, Massachusetts. (A top AI conference)
  • Sheng, V.S., Ling, C.X., Ni, A., & Zhang, S. (2006). Cost-Sensitive Test Strategies. Proceedings of the 21st National Conference on Artificial Intelligence (AAAI06), 482-487. July 16-20, 2006, Boston, Massachusetts.
  • Sheng, S., Ling, C.X., & Yang, Q. (2005). Simple Test Strategies for Cost-Sensitive Decision Trees. Proceedings of the 16th European Conference on Machine Learning (ECML05), 365-376. October 3-7, Porto, Portugal. (Acceptance rate: 1/9).
  • Sheng, S., & Ling, C.X. (2005). Hybrid Cost-Sensitive Decision Trees. Proceedings of the 9th European Conference on the Principles and Practice of Knowledge Discovery in Databases (PKDD05), 274-284. October 3-7, Porto, Portugal. (Acceptance rate: 1/7).
  • Ling, C.X., Sheng, S., Bruckhaus, T., & Madhavji, N.H. (2005). Predicting Software Escalations with Maximum ROI. Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM05), IEEE Computer Society Press. November 27-30, Houston, Texas. (Acceptance rate: 1/7).
  • Zhang, H., & Sheng, S. (2004). Learning Weighted Naive Bayes with Accurate Ranking. Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM04), IEEE Computer Society Press. November 01-04, Brighton, UK.
  • Sheng, S., Kong, H., & Zhou, Z. (2001). Travel Information Agent System. 2001 Conference Program, The International Academy Of E-Business. March 7-12, Hyatt, San Francisco.
  • Sheng, S., Kong, H., & Yeo, H.N. (2001). XML and E-Commerce: A Travel Industry Case Study. Proceedings of IASTED International Conference on Applied Informatics (AI'2001). February 19-22, Innsbruck, Austria.
  • Sheng, S., Kong, H., & Yeo, H.N. (2000). Information Infrastructure for Web-based Data Mining Systems. Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications (IMSA'2000), 256-261. November 20-23, Las Vegas, Nevada, USA.
  • Sheng, S., Kong, H., & Yeo, H.N. (2000). Multi-Miner: A System Prototype for Web Mining Agent. Proceedings of International ICSC Congress on Intelligent Systems & Applications (MAMA'2000: Multi-Agents and Mobile Agents in Virtual Organizations and E-Commerce). December 11-13, Wollongong, Australia.
  • Yeo, H.N., Kong, H., & Sheng, S. (2000). Multi-agents Collaboration Model for E-Travel Business. Proceedings of International ICSC Congress on Intelligent Systems & Applications (MAMA'2000: Multi-Agents and Mobile Agents in Virtual Organizations and E-Commerce). December 11-13, Wollongong, Australia.
  • Sheng, S., & Kong, H. (2000). Information Infrastructure - XDoc for Multi-miner Systems. International Symposium on Data Mining and Statistics. November 19-21, University of Augsburg, Germany.
Articles in Peer-refereed Workshop Proceedings

  • Sheng, V.S. (2006). Cost-Sensitive Learning for Software Escalation Predictions. The UW and IEEE Kitchener-Waterloo Section Joint Workshop on Knowledge and Data Mining. October 30-31, University of Waterloo, ON, Canada. (Best Poster Award)
  • Ling, C.X., Sheng, V.S., Bruckhaus T., & Madhavji, N.H. (2006). Maximum Profit Mining and Its Application in Software Development. Proceedings of the 2nd Workshop on Utility-Based Data Mining. Philadelphia, Pennsylvania, USA.
  • Sheng, S., & Osborn, S. (2004). A Classifier-based Approach to User-role Assignment for Web Applications. Proceedings of Workshop on Security Data Management (SDM04), joint with VLDB 2004, LNCS 3178, 163-171. August 29 - September 3, Toronto, Canada.
  • Bruckhaus T., Ling, C.X., Madhavji, N.H., & Sheng, S. (2004). Software Escalation Prediction with Data Mining. Workshop on Predictive Software Models (PSM04), Chicago, IL, USA.
  • Sheng, S., & Kong, H. (2000). Travel Information Agent System. Proceedings of IEEE 2nd International Workshop on Networked Appliances, November 30-December 1, New Brunswick, NJ, USA.
Talks

  • Improving Data Quality and Data Mining Using Multiple, Noisy Labelers. New York Academy of Sciences Machine Learning Symposium. 7 World Trade Center at 250 Greenwich Street, New York, October 10th, 2008.
  • Noisy Multi-Labeling: Toward Selective Acquisition of User-Generated Content. Fourth Symposium on Statistical Challenges in Electronic Commerce Research. (SCECR 2008), New York, May 18-19, 2008.
  • Multi-labeling When Data Preprocessing Is Costly. INFORMS (Institute for Operations Research and the Management Sciences) Annual Meeting (data mining/machine learning session). Washington DC, Oct. 10-15, 2008.
  • A Novel Sequential Batch Test Algorithm for Medical Diagnosis. The University of Western Ontario Research in Computer Science Annual Conference 2007. April 2, London, ON, Canada. (Best Presentation Award)
  • Test Strategies for Cost-Sensitive Learning. The University of Western Ontario Research in Computer Science Annual Conference 2006. March 23, London, ON, Canada.