Journal articles and peer-reviewed conference papers

(Selective list in core CS venues. The full list of publications can be found from my cv.)

  1. Erick Draayer, Huiping Cao: Towards Uncertainty Quantification for Time Series Segmentation. Accepted to be published in ACM Information and Knowledge Management (CIKM) 2024. (Acceptance rate: 23%).

  2. Qixu Gong, Huiying Chen, Huiping Cao, Jiefei Liu: Backbone Index and GNN Models for Skyline Path Query Evaluation over Multi-cost Road Networks. ACM Transactions on Spatial Algorithms and Systems (TSAS), April, 2024. http://dx.doi.org/10.1145/3660632.

  3. Trung Hoang Le, Huiping Cao, Tran Cao Son: ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction. Theory and Practice of Logic Programming, Volume 23 , Issue 4. International Conference on Logic Programming (ICLP), 2023, pp. 765-781. https://doi.org/10.1017/S1471068423000297, https://doi.org/10.48550/arXiv.2305.15374

  4. Yifan Hao, Huiping Cao, K. Selçuk Candan, Jiefei Liu, and Huiying Chen: Class-Specific Attention (CSA) for Time-Series Classification. The 8th SIGKDD International Workshop on Mining and Learning from Time Series (MILETS 2022). Washington DC, August 15, 2022. (Double-blind review) https://kdd-milets.github.io/milets2022/#papers

  5. Edgar Ceh-Varela, Huiping Cao, Hady W. Lauw: Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups. In ACM Transactions on Intelligent Systems and Technology (TIST)), Volume 13, Issue 6, Pages 1-26. September 2022. https://doi.org/10.1145/3542804

  6. Qixu Gong and Huiping Cao: Backbone Index to Support Skyline Path Queries over Multi-cost Road Networks. In Intl. Conf. on Extending Database Technology (EDBT). Vol 2, 325-337, 2022. https://doi.org/10.48786/edbt.2022.19

  7. Erick Draayer, Huiping Cao, Yifan Hao: Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection. In Intl. Conf. on Information and Knowledge Management, CIKM 2021: 2989-2993. https://doi.org/10.1145/3459637.3482167

  8. Edgar Ceh-Varela, Huiping Cao, and Tuan Le: Multi-criteria and Review-based Overall Rating Prediction. In Proc. of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021), 473-484. https://doi.org/10.1007/978-3-030-75765-6_38 (Acceptance rate: 20%).

  9. Edgar Ceh-Varela and Huiping Cao: Recommending novel and relevant reviews to expand users’ knowledge about a product. In Proc. of IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pages 195-202, December, 2020.
    https://doi.org/10.1109/WIIAT50758.2020.00030. (Acceptance rate: 25%).

  10. Yifan Hao, Huiping Cao, and Erick Draayer: CNN Approaches to Classify Multivariate Time Series Using Class-specific Features. In Proc. of 2020 IEEE International Conference on Smart Data Services (SMDS), pages 1-8. https://doi.org/10.1109/SMDS49396.2020.00008

  11. Yifan Hao and Huiping Cao: A New Attention Mechanism to Classify Multivariate Time Series. In Proc. of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI) Main track. 2020: Pages 1999-2005. (Acceptance rate: 12.6%). https://doi.org/10.24963/ijcai.2020/277.
    The source code for this paper can be downloaded from this github repository.

  12. Qixu Gong, Jiefei Liu, and Huiping Cao: CSQ System: A System to Support Constrained Skyline Queries on Transportation Networks (Demo paper). In Proc. of IEEE Intl. Conf. on Data Engineering (ICDE), 2020: 1746-1749. [https://doi.org/10.1109/ICDE48307.2020.00160] [Presentation slide] [Presentation video] [Demo video] The source code for this paper can be downloaded from this github repository.

  13. Yifan Hao, Huiping Cao, Abdullah Mueen, and Sukumar Brahma: Identify Significant Phenomenon-specific Variables for Multivariate Time Series. In IEEE Transactions on Knowledge and Data Engineering (TKDE). 2019. [https://ieeexplore.ieee.org/document/8798763]
    The source code for this paper can be downloaded from this github repository.

  14. Edgar Ceh-Varela and Huiping Cao: Recommending Packages of Multi-criteria Items to Groups. In Proc. of IEEE Intl. Conf. on Web Services (ICWS) 2019: 273-282. (Acceptance rate: 18%) [https://doi.org/10.1109/ICWS.2019.00054]
    The source code for this paper can be downloaded from this github repository.

  15. Qixu Gong, Huiping Cao, Parth Nagarkar: Skyline Queries Constrained by Multi-Cost Transportation Networks. In Proc. of IEEE Intl. Conf. on Data Engineering (ICDE), 2019: 926-937. [https://doi.org/10.1109/ICDE.2019.00087]
    The source code for this paper can be downloaded from this github repository.

  16. Chuan Hu, Huiping Cao, Qixu Gong: Sub-Gibbs Sampling: a New Strategy for Inferring LDA. In Proc. of Intl. Conf. on Data Mining (ICDM 2017), 907-912. (Overall acceptance rate: 19.9%). [PDF] [http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.113. ]
    The source code for this paper can be downloaded from this github repository.

  17. 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.

  18. 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

  19. 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. Accpepted by the first International Workshop on Mining Big Data in Social Networks (MBD-SONET) (Acceptance rate: 42.8%). (pdf) http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7364014.
    The source code for this paper can be downloaded from this github repository.

  20. 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.
    [Local PDF][http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7364106]

  21. James Obert, Inna Pivkina, Hong Huang, Huiping Cao: Dynamically Differentiated Multipath Secu- rity 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

  22. Chuan Hu, Huiping Cao, Chaomin Ke: Detecting Influence Relationships from Graphs. Proc. of SIAM Data Mining, SDM 2014:821-829. (Acceptance rate: N.A.) (pdf) http://dx.doi.org/10.1137/1.9781611973440.94
    This Link has the paper, source code, data sets, and technical report.
    The source code for this paper can also be downloaded from this github repository.

  23. 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

  24. 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

  25. 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

  26. 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.

  27. 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

  28. 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

  29. 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]

  30. 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/

  31. 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

  32. 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

  33. 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]

  34. 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]

  35. 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

  36. 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/

  37. 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

  38. Huiping Cao, Nikos Mamoulis, and David W. Cheung: Discovery of Periodic Patterns in Spatiotem- poral Sequences. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 19(4): 453-467, 2007. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4118704

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

Book Chapters, edited book

  1. Huiping Cao, Jinyan Li, Ruili Wang (eds): Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers. Lecture Notes in Computer Science 9794, Springer 2016, ISBN 978-3-319-42995-3.

  2. Huiping Cao, Yan Qi, K. Selçuk Candan, and Maria Luisa Sapino: XML Data Integration: Schema Extraction and Mapping. Chapter 14 in Advanced Applications and Structures in XML Processing. Editors: Changqing Li and Tok Wang Ling.

  3. Yan Qi, Huiping Cao, K. Selçuk Candan, and Maria Luisa Sapino: XML Data Integration: Merging, Query Processing and Conflict Resolution. Chapter 15 in Advanced Applications and Structures in XML Processing. Editors: Changqing Li and Tok Wang Ling.

  4. Huiping Cao, Nikos Mamoulis, and David W. Cheung: Periodic Pattern Discovery from Trajectories of Moving Objects. Chapter 15 in Geographic Data Mining and Knowledge Discovery, 2nd Edition. Editors: Harvey J. Miller and Jiawei Han.