PUBLICATIONS

(DBLP, MS Academic Search, Google Scholar)
[Journals] [Conferences][Book Chapters][TechReports][Patents]

Journal Papers

  • Keke Chen, James Powers, Shumin Guo, and Fengguang Tian: "CRESP: Towards Optimal Resource Provisioning for MapReduce Computing in Public Clouds ", accepted by IEEE TPDS in Nov. 2013. [pdf]
  • Huiqi Xu, Shumin Guo, and Keke Chen: "Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation ", accepted by IEEE TKDE in Nov. 2012, appears in Volume 26, Issue 2, 2014. [long version with refined proofs and corrected notations]
  • Keke Chen: "Optimizing Star-coordinate Visualization Models for Effective Interactive Cluster Exploration on Big Data ", Journal of Intelligent Data Analysis, accepted in August, 2012. [pdf]
  • Keke Chen, Jing Bai, and Zhaohui Zheng: "Ranking Function Adaptation with Boosting Trees ", ACM Transactions on Information Systems (TOIS), accepted in July, 2011. [pdf]
  • Keke Chen and Ling Liu, " Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining ", Journal of Knowledge and Information Systems (KAIS), online version, 2010; in print 2011. [pdf]
  • Hua Yan, Keke Chen and Ling Liu, "SCALE: a Scalable Framework for Efficiently Clustering Large Transactional Data ", Journal of Data Mining and Knowledge Discovery (DMKD), 2010. [pdf]

  • Keke Chen and Ling Liu: " Privacy-preserving Multiparty Collaborative Mining with Geometric Data Perturbation, IEEE Transactions on Parallel and Distributed Systems, 2009 [pdf]
  • Keke Chen and Ling Liu: " HE-Tree: a Framework for Detecting Changes in Clustering Structure for Categorical Data Streams ", VLDB Journal, 2009 [pdf]
  • Keke Chen and Ling Liu: " Best K: the Critical Clustering Structures in Categorical Data ", Knowedge and Information Systems, 2008 [pdf]
  • Hua Yan, Keke Chen and Ling Liu, "Determining the Best K for Clustering Transactional Datasets: A Coverage Density-based Approach ", Journal of Data and Knowledge Engineering (DKE), 2008. [pdf]

  • Keke Chen and Ling Liu: "VISTA: Validating and Refining Clusters via Visualization." Journal of Information Visualization. Sept. 2004. [pdf]
  • Keke Chen and Ling Liu: " iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets " ACM Transactions on Information Systems (TOIS), Vol24, issue 2, 2006 . [pdf]
  • Yongjing Lin, Wenyuan Li, Keke Chen and Ying Liu, " Document Clustering and Ranking System for Exploring MEDLINE Citations ", Volume 14, Issue 5,2007, Journal of the American Medical Informatics Association (JAMIA). [pdf]

Conference Papers

  • Zohreh Alavi, Lu Zhou, James Powers, and Keke Chen, "RASP-QS: Efficient and Confidential Query Services in the Cloud", International Conference on Very Large Databases (VLDB), Demonstration Session, 2014
  • Shumin Guo and Keke Chen, "PerturBoost: Practical Confidential Classifier Learning in the Cloud", IEEE Conference on Data Mining (ICDM), 2013
  • James Powers and Keke Chen, "Secure Computation of Top-K Eigenvectors for Shared Matrices in the Cloud", IEEE Cloud Computing Conference (CLOUD), 2013. [pdf]
  • Shumin Guo, and Keke Chen. "Privacy Preserving Boosting in the Cloud with Secure Half-Space Queries", Poster Session of ACM Conference on Computer and Communications Security (CCS), 2012. [with corrected notations pdf]
  • Shumin Guo, and Keke Chen. "Mining Privacy Settings to Find Optimal Privacy-Utility Tradeoffs for Social Network Services", ASE/IEEE International Conference on Privacy, Security, Risk and Trust (PASSAT), 2012. [ pdf]
  • Huiqi Xu, Zhen Li, Shumin Guo, and Keke Chen. "CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud". Demonstration Session of International Conferences on Very Large Databases, Istanbul, Turkey 2012. [ pdf]
  • Jinpeng Wei, Calton Pu, and Keke Chen. "Flying under the Radar: Maintaining Control of Kernel without Changing Kernel Code or Persistent Data Structures". The 7th Annual Cyber Security and Information Intelligence Research Workshop (CSIIRW), October 12 - 14, 2011. [ pdf]
  • Keke Chen, Huiqi Xu, Fengguang Tian, Shumin Guo, " CloudVista: visual cluster exploration for extreme scale data in the cloud ", Scientific and Statistical Database Management Conference, Portland OR, 2011 [ pdf]
  • Fengguang Tian, Keke Chen, " Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds", IEEE Conference on Cloud Computing, Washington DC, 2011[ pdf]
  • Keke Chen, Ramakanth Kavuluru, Shumin Guo " RASP: Efficient Multidimensional Range Query on Attack-Resilient Encrypted Databases ", ACM Conference on Data and Application Security and Privacy (CODASPY), 2011. [ pdf]
  • Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng and Keke Chen, " Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking ", International Conference on Computational Linguistics (COLING), 2010. [ pdf]
  • Keke Chen, Jing Bai, Srihari Reddy, and Belle Tseng: " On Domain Similarity and Effectiveness of Adapting to Rank " (short paper), ACM Conference on Information and Knowledge Management (CIKM09), 2009. [ pdf]
  • Keke Chen and Fengguang Tian: " VisGBT: Visually Analyzing Evolving Datasets for Adaptive Learning ", The 5th International Conference on Collaborative Computing (CollaborateCom09), 2009. [pdf]
  • Keke Chen, Rongqing Lu, CK Wong, Gordon Sun, Larry Heck, and Belle Tseng: " Trada: a Tree-Based Ranking Function Adaptation Approach", ACM Conference on Information and Knowledge Management (CIKM08), 2008. [pdf]
  • Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha and Gordon Sun: " Adapting Ranking Functions to User Preference ", IEEE Conference on Data Engineering, Workshop on Ranking in Databases, 2008. [pdf]
  • Keke Chen and LingLiu: "Towards Attack-Resilient Geometric Data Perturbation ", SIAM International Conference on Data Mining, 2007. [pdf]
  • Zhaohui Zheng, Keke Chen, Hongyuan Zha, Gordon Sun: "A Regression Framework for Learning Ranking Functions Using Relative Relevance Judgments ", SIGIR, 2007. [pdf]
  • Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun: " A General Boosting Method and its Application to Learning Ranking Functions for Web Search", in Proceedings of Neural Information Processing Systems (NIPS), Canada, 2007. [pdf]
  • Keke Chen and Ling liu: "Space Adaptation: Privacy-preserving Multiparty Collaborative Mining with Geometric Perturbation ", ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC 2007) (Brief Announcement) [pdf]
  • Keke Chen and Ling Liu: "Detecting Change of Clustering Structure in Categorical Data Stream ", SIAM Internatational Conference on Data Mining Conference(SDM), 2006. [pdf]
  • Hua Yan, Keke Chen and Ling Liu, " Efficiently Clustering Transactional Data with Weighted Coverage Density", ACM Conference on Information and Knowledge Management (CIKM2006) , November, 2006 [pdf]
  • Keke Chen and Ling Liu: "Privacy-Preserving Data Classification with Rotation Perturbation ", Proc. of IEEE Intl. Conf on Data Mining 2005 (ICDM05). [pdf]
  • Keke Chen and Ling Liu: "The ‘Best K’ for Entropy-based Categorical Clustering ", Proc of Scientific and Statistical Database Management (SSDBM05). Santa Barbara, CA June 2005. [pdf]
  • Keke Chen and Ling Liu: "ClusterMap: Labeling Large Datasets via Visualization." ACM Conf. of Information and Knowledge Management (CIKM04), Washington DC, Nov, 2004 [pdf]
  • Keke Chen and Ling Liu: "Validating and Refining Clusters via Visual Rendering." Proc. of Intl. Conf. on Data Mining(ICDM03). Melbourne, FL, November 2003. [pdf]
  • Keke Chen and Ling Liu: "A Visual Framework Invites Human into the Clustering Process." Proc. of Scientific and Statistical Database Management (SSDBM03). Cambridge, Boston, July 2003. [pdf]
  • Keke Chen and Ling Liu: "Cluster Rendering of Skewed Datasets via Visualization." Proc. of ACM Symposium on Applied Computing(ACM SAC03). Melbourne, FL, March 2003. [pdf]

Book Chapters

  • Keke Chen, Shumin Guo, James Powers, and Fengguang Tian: "Towards Optimal Resource Provisioning for Economical and Green MapReduce Computing in the Cloud." In "Data Processing Techniques in the Era of Big Data"". Edited by Sherif Sakr and Mohamed Medhat Gaber, published by CRC Press, to appear in 2013. [pdf]
  • Keke Chen and Ling Liu: "A Survey of Multiplicative Data Perturbation for Privacy Preserving Data Mining." In Privacy-Preserving Data Mining: Models and Algorithms". Edited by Charu C. Aggarwal and Philip S. Yu, 2008. [pdf]

Technical Reports

  • Huiqi Xu, Keke Chen, "kNN-R: Building Secure and Efficient Outsourced kNN Query Service with the RASP encryption", Department of Computer Scencie and Engineering, Wright State University, October, 2011
  • Keke Chen, "On Security of Utility Preserving RASP Encryption", Cryptology ePrint Archive, November, 2011
  • Fengguang Tian, Keke Chen, "Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds", Department of Computer Scencie and Engineering, Wright State University, 2011
  • Keke Chen, Fengguang Tian, Shumin Guo, "CloudVista: A Framework Supporting Visual Cluster Exploration for Extreme Scale Data in the Cloud", Department of Computer Scencie and Engineering, Wright State University, 2010
  • Keke Chen, Ramakanth Kavuluru, "RASP: Efficient Multidimensional Range Query on Attack-Resilient Encrypted Databases", Department of Computer Scencie and Engineering, Wright State University, 2010

Patents

  • Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, and Gordon Sun: Systems and Apparatus for Using B Measures to Learn Balanced Relevance Functions from Expert and User Judgments, US8126839, filing date: May 23, 2007, issue date: Mar 30, 2010
  • Keke Chen, Rongqing Lu, CK Wong, Gordon Sun, Larry Heck, and Belle Tseng: Methods and Apparatuses for Adapting a Ranking Function of a Search Engine for Use with a Specific Domain, US7685078, filing date: Jun 19, 2008, issue date: Feb 28 2012
  • Zhaohui Zheng, Hongyuan Zha, Keke Chen, and Gordon Sun: A Regression Framework for Learning Ranking Functions Using Relative Preferences, US20080208836, filing date: Feb 23, 2007, issue date: August 28, 2008