Ke Wang
Database, Data Mining
Professor, Computing Science
MSc, Georgia Institute of Technology
PhD, Georgia Institute of Technology
School of Computing Science
Simon Fraser University
8888 University Drive
Burnaby, British Columbia, Canada V5A 1S6
Email: wangk@cs.sfu.ca
Tel: 7787824667
Fax: 7787823045
Database and Data Mining Laboratory
Software for Download:
Hongwei Liang, Ke Wang. Top-k Route Search through Submodularity Modeling of
Recurrent POI Features. SIGIR 2018. [datasets and code on GitHub]
Temporal Probabilistic Matrix Factorization : A temporal recommender based on matrix factorization. Publication:
Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, En-Peng Lim.
Latent Factor Transition for Dynamic Collaborative Filtering . SDM 2014
CUT Classification : A clearance threshold based approach to cost sensitive classification. Publication:
Ryan McBride, Ke Wang, Wenyuan Li. Classification by CUT: Clearance Under Threshold . IEEE ICDM 2014
Top-Down Specialization
(TDS 1.0): Generalize a table to satisfy the k-anonymity privacy
requirement and preserve information for classification. Publication:
B.C.M. Fung, K. Wang, and P.S. Yu.
"Top-Down Specialization for Information and Privacy
Preservation". ICDE 2005
Frequent Itemset-based Hierarchical Clustering (FIHC 1.0):
Construct a document cluster hierarchy from a set of unlabeled documents based on frequent itemsets. Publication: B.C.M. Fung,
K. Wang, and M. Ester.
"Hierarchical Document Clustering Using Frequent Itemsets". SDM 2003
Recent Publication:
Book: B. C. M. Fung, K. Wang, A. W.-C. Fu, and P. S. Yu.
Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques, Data Mining and Knowledge Discovery Series. 376 pages, Chapman & Hall/CRC, August 2010.
ISBN: 9781420091489
B. Fung, K. Wang, R. Chen, P. Yu.
Privacy-Preserving Data Publishing:
A Survey of Recent Developments. ACM Computing Surveys, Vol. 42,
Issue No 4, 1-53, June 2010, ACM Press
Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li. Cost-Sensitive Learning to Rank. AAAI 2019
Zhilin Zhang, Ke Wang, Chen Lin and Weipeng Lin. Secure Top-k Inner Product Retrieval. CIKM 2018
Jiaxi Tang, Ke Wang. Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. KDD 2018
Hongwei Liang, Ke Wang. Top-k Route Search through Submodularity Modeling of
Recurrent POI Features. SIGIR 2018, 545-554. [datasets and code on GitHub]
Weipeng Lin, Ke Wang, Zhilin Zhang, Hong Chen.
Revisiting Security Risks of Asymmetric Scalar Product Preserving Encryption and Its Variants . IEEE International Conference on Distributed Computing Systems (ICDCS 2017)
Ryan McBride, Ke Wang, Viswanadh Nekkanti, Wenyuan Li. Risk Clearance with Guaranteed Precision. SDM 2017.
Hongwei Liang, Ke Wang, Feida Zhu. Mining Social Ties Beyond Homophily. ICDE 2016
Loc Do, Hady W. Lauw, Ke Wang. Mining Revenue-Maximizing Bundling Configuration. PVLDB 2015.
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