Publications

  • Chuan Hu, Huiping Cao: Aspect-Level Influence Discovery from Graphs. IEEE Trans. Knowl. Data Eng. 28(7): 1635-1649 (2016). [PDF] [DOI]
    The source code for this paper can be downloaded from this github repository.
  • James Obert, Inna Pivkina, Hong Huang, Huiping Cao: Proactively applied encryption in multipath networks. In Computers & Security, Volume 58, 106-124, May 2016. http://www.sciencedirect.com/science/article/pii/S0167404815001960
  • Chuan Hu and Huiping Cao: Discovering Time-evolving Influence from Dynamic Heterogeneous Graphs. In Proc. of IEEE International Conference on Big Data 2015, 2253-2262. [PDF] http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7364014.
    The source code for this paper can be downloaded from this github repository.
  • Yifan Hao, Huiping Cao, Yan Qi, Chuan Hu, Sukumar Brahma, and Jingyu Han: Efficient Keyword Search on Graphs using MapReduce. In IEEE International Conference on Big Data 2015, 2871-2873. [pdf] http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7364106.
  • James Obert, Inna Pivkina, Hong Huang, Huiping Cao: Dynamically Differentiated Multipath Security in Fixed Bandwidth Networks. In Military Communications Conference (MILCOM 2014), 88-93. Oct. 6 – 8, 2014.(Acceptance rate: N.A.) DOI: http://dx.doi.org/10.1109/MILCOM.2014.22
  • Chuan Hu, Huiping Cao, Chaomin Ke: Detecting Influence Relationships from Graphs. SDM 2014:821-829.
    This Link has the paper, source code, data sets, and technical report.
    The source code for this paper can be downloaded from this github repository.
  • Jingyu Han, Kejia Chen, Zhiming Ding, Huiping Cao: An efficient location reporting and indexing framework for urban road moving objects. Distributed and Parallel Databases 32(2): 271-311 (2014). http://link.springer.com/article/10.1007%2Fs10619-013-7135-5
  • Yifan Hao, Huiping Cao, Chuan Hu, Kabi Bhattarai, Satyajayant Misra: K-anonymity for social networks containing rich structural and textual information. Social Netw. Analys. Mining 4(1): 222-261, August (2014). http://link.springer.com/article/10.1007%2Fs13278-014-0223-3
  • Yifan Hao, Huiping Cao, Kabi Bhattarai, Satyajayant Misra: STK-anonymity: k-anonymity of social networks containing both structural and textual information, In Proc. of DBSocial 2013:19-24, co-located with SIGMOD 2013. (Acceptance rate: N.A.) http://dl.acm.org/citation.cfm?doid=2484702.2484707
  • James Obert, Huiping Cao, Hong Huang: Determination of Multipath Security Using Efficient Pat-
    tern Matching. In International Journal of Computer Science and Information Security (IJCSIS), 11(11), 24-33 (2013). http://www.scribd.com/doc/190070743/Determination-of-Multipath-Security-Using-Efficient-Pattern-Matching.
  • Yangpai Liu, Huiping Cao, Yifan Hao, Peng Han, Xinda Zeng: Discovering Context-aware Influential Objects. In Proc. of SIAM Data Mining, SDM 2012:780-791. (Acceptance rate: 27%) http://siam.omnibooksonline.com/2012datamining/data/papers/237.pdf
  • Huiping Cao, Shawn Bowers, Mark P. Schildhauer: Database Support for Enabling Data-Discovery Queries over Semantically-Annotated Observational Data. In LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS), 6: 198-228 (2012). http://link.springer.com/chapter/10.1007%2F978-3-642-34179-3_7
  • Huiping Cao, K. Selçuk Candan, and Maria Luisa Sapino: Skynets: Searching for Minimum Trees in Graphs with Incomparable Edge Weights. In Proc. of Intl. Conf. on Information and Knowledge Management, CIKM 2011, 1775-1784. (Acceptance rate: 15%) http://dl.acm.org/citation.cfm?doid=2063576.2063833
  • Huiping Cao, Shawn Bowers, Mark P. Schildhauer: Approaches for Semantically Annotating and Discovering Scientific Observational Data. In Proc. of Intl. Conf. on Database and Expert System Applications, DEXA 2011, 526-541. (Acceptance rate: 25%) http://www.springerlink.com/content/v56047534m051l71/
  • Shawn Bowers, Huiping Cao, Mark Schildhauer, Matt Jones, Ben Leinfelder, and Margaret O’Brien: A Semantic Annotation Framework for Retrieving and Analyzing Observational Datasets. In the third workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR2010), co-located with Intl. Conf. on Information and Knowledge Management (CIKM), 31-32, 2010. (Acceptance rate: N.A.) http://dl.acm.org/citation.cfm?doid=1871962.1871982
  • Shawn Bowers, Jay Kudo, Huiping Cao, Mark P. Schildhauer: ObsDB: A System for Uniformly Storing and Querying Heterogeneous Observational Data. In Proc. of the IEEE Intl. Conf. on e- Science, 2010, 261-268. (Acceptance rate: 30%) http://www.computer.org/csdl/proceedings/escience/2010/4290/00/4290a261-abs.html
  • Huiping Cao, Yan Qi, K. Selçuk Candan, and Maria Luisa Sapino: Feedback-driven result ranking and query refinement for exploring semi-structured data collections. In Proc. of Intl. Conf. on Extending Database Technology, EDBT 2010, 3-14. (Acceptance rate: N.A.) http://dl.acm.org/citation.cfm?doid=1739041.1739046
  • Huiping Cao, Yan Qi, K. Selçuk Candan, and Maria Luisa Sapino: Exploring Path Query Results through Relevance Feedback. In Proc. of Intl. Conf. on Information and Knowledge Management, CIKM 2009, 1959-1962. (Acceptance rate: N.A.) http://dl.acm.org/citation.cfm?doid=1645953.1646275
  • K. Selçuk Candan, Huiping Cao, Yan Qi, and Maria Luisa Sapino: AlphaSum: Size-Constrained Table Summarization using Value Lattices. In Proc. of Intl. Conf. on Extending Database Technology, EDBT 2009, 96-107. (Acceptance rate: 32.5%) http://dl.acm.org/citation.cfm?doid=1516360.1516373
  • K. Selçuk Candan, Huiping Cao, Yan Qi, and Maria Luisa Sapino: System Support for Exploration and Expert Feedback in Resolving Conflicts during Integration of Metadata. In The VLDB Journal, 17(6): 1407-1444, 2008. http://www.springerlink.com/content/e63571635m577344/
  • K. Selçuk Candan, Huiping Cao, Yan Qi, and Maria Luisa Sapino: Table Summarization with the Help of Domain Lattices. In Proc. of Intl. Conf. on Information and Knowledge Management, CIKM2008, 1473-1474. (Acceptance rate: 16%) http://dl.acm.org/citation.cfm?doid=1458082.1458340
  • Huiping Cao, Nikos Mamoulis, and David W. Cheung: Discovery of Periodic Patterns in Spatiotemporal Sequences. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 19(4): 453-467, 2007. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4118704
  • Huiping Cao, Nikos Mamoulis, and David W. Cheung: Discovery of Collocation Episodes in Spa- tiotemporal Data. In Proc. of Intl. Conf. on Data Mining, ICDM2006, 823-827. (Acceptance rate: 10%) http://www.computer.org/csdl/proceedings/icdm/2006/2701/00/270100823-abs.html
  • Huiping Cao, Nikos Mamoulis, and David W. Cheung: Mining Frequent Spatio-Temporal Sequential Patterns. In Proc. of Intl. Conf. on Data Mining, ICDM2005, 82-89. Received Student Travel award. (Acceptance rate: 13.8%) http://www.computer.org/csdl/proceedings/icdm/2005/2278/00/22780082-abs.html
  • Nikos Mamoulis, Huiping Cao, George Kollios, Marios Hadjieleftheriou, Yufei Tao, and David W. Cheung: Mining, Indexing, and Querying Historical Spatiotemporal Data. In ACM SIGKDD Proc. of Intl. Conf. on Knowledge Discovery and Data Mining, SIGKDD2004, 236-245. (Acceptance rate: 12%) http://dl.acm.org/citation.cfm?doid=1014052.1014080
  • Huiping Cao, David W. Cheung, and Nikos Mamoulis: Discovering Partial Periodic Patterns in Discrete Data Sequences. In Proc. of Pacific-Asia Conf. on Knowledge Discovery and Data Mining, PAKDD2004, 653-658. (Acceptance rate: 13%) http://link.springer.com/chapter/10.1007%2F978-3-540-24775-3_77
  • Yutao Shou, Nikos Mamoulis, Huiping Cao, Dimitris Papadias, and David W. Cheung: Evaluation of Iceberg Distance Joins. In Proc. of Intl. Symp. on Advances in Spatial and Temporal Databases, SSTD2003, 270-288. (Acceptance rate: N.A.) http://link.springer.com/chapter/10.1007%2F978-3-540-45072-6_16
  • Huiping Cao, Shan Wang, and Lingwei Li: Location Dependent Query in a Mobile Environment. In Journal of Information Sciences, 154(1-2): 71-83, 2003. http://www.sciencedirect.com/science/article/pii/S0020025503000355