Victor (Shengli) Sheng

Victor (Shengli) Sheng

Visiting Assistant Professor
Computer Science Deparment
University of Central Arkansas

Address :

Tel :
email :

Victor (Shengli) Sheng
Apt.E5, 300 S Donaghey Ave.
Conway, AR 72034, USA

501-450-5839
ssheng \at stern \dot nyu \dot edu

RESEARCH INTERESTS

Data Mining and Machine Learning
Artificial Intelligence
Data Security
Decision Support
Applications in E-Learning, Business, Industry, Bio-Informatics, Health Informatics, Software Engineering

EDUCATION

NSERC Postdoctoral Fellow
Leonard N. Stern School of Business, New York University, USA September 2007 - August 2009
Ph.D., Computer Science (GPA: 92.5)
The University of Western Ontario, London, Ontario, Canada August 2007
Thesis Title: Cost-sensitive learning with data acquisition
M.Sc., Computer Science (GPA: 4.0)
University of New Brunswick, Fredericton, New Brunswick, Canada December 2003
Thesis Title: Learning weighted Naive Bayes for accurate ranking
M.Sc.E., Computer Engineering (GPA: 87.9)
Suzhou University, Suzhou, Jiangsu, China July 1999
Thesis Title: New algorithms of cryptology and security for computer network
B.Sc.E., Materials Science and Engineering (GPA: 90.6)
Chongqing University, Chongqing, China July 1993

HONOURS AND AWARDS

Best Paper Award Runner-Up, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD08), 2008
NSERC Postdoctoral Fellowship (total $80,000)
Best Presentation Award, The University of Western Ontario Research in Computer Science Annual Conference, 2007
Student Travel Award, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD07), 2007
Nominated for Graduate Teaching Assistant Award, The University of Western Ontario, 2006 - 2007
Three CS Publications Incentive Awards, Department of Computer Science, The University of Western Ontario, 2004 - 2005, 2005 - 2006, 2006 - 2007 respectively
Nominated for Robert and Ruth Lumsden Fellowships in Science, The University of Western Ontario, 2006
Best Poster Award, The UW and IEEE Kitchener-Waterloo Section Joint Workshop on Knowledge and Data Mining (2006), University of Waterloo, ON, Canada
Student Travel Award, International Conference on Machine Learning (ICML06), 2006
Student Travel Award, American Association of Artificial Intelligence (AAAI06), 2006
NSERC Post-graduate Scholarship (total $63,000), 2005 - 2008
Western Graduate Research Scholarship, The University of Western Ontario, 2005 - 2008
Special University Scholarship, The University of Western Ontario, 2004
Graduate Scholarship, University of New Brunswick, 2002 - 2003

SELECTED PUBLICATIONS

Selected 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.

Selected 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.

A list of his complete publications. Also find his papers listed in DBLP here and here.

PROFESSIONAL SERVICES AND ACTIVITIES

Editorial Board

International Journal of Information Systems in the Service Sector (IJISSS), December 2008 – present

Program Committee Member

HCOMP 2009 workshop on Human Computation
NAACL 2009 workshop on Active Learning for NLP
Session chair: INFORMS Annual Meeting (data mining/machine learning session, 2008)
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD07)

Reviewer for journals and book chapters

Journal of Machine Learning
IEEE Transactions on Knowledge and Data Engineering
Data Mining and Knowledge Discovery
ACM Transactions on Knowledge Discovery from Data
International Journal of Information Technology & Decision Making
Journal of Computer Science and Technology
Encyclopedia of Data Warehousing and Mining - 2nd Edition, 2008

Reviewer/external reviewer for conferences

International Joint Conference on Artificial Intelligence (IJCAI05, IJCAI07)
International Conference on Data Mining (ICDM04, ICDM05, ICDM06, ICDM07)
IEEE/WIC/ACM International Conference on Web Intelligence (WI07)
IEEE International Conference on Bioinformatics and Biomedicine (BIBM07)
European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD05)
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD05, PAKDD06, PAKDD07)

Reviewer/external reviewer for workshops

HCOMP 2009 workshop on Human Computation
NAACL 2009 workshop on Active Learning for NLP
Utility-Based Data Mining (UBDM05, UBDM06)

Memberships

ACM
AIS (the Association for Information Systems)
INFORMS (Institute for Operations Research and the Management Sciences)
American Association of Artificial Intelligence (AAAI)
IEEE Society