About Me


I am a Ph.D. student in the Department of Math & CS at Emory University. I am currently
working in the AIMS (Assured Information Management and Sharing) group.

My advisor is Prof. Li Xiong, joint work with Prof. Xiaoqian Jiang in the iDash lab, division of medicine, University of California, San Diego.

Research interests


  • Privacy preserving machine learning techniques
  • Privacy preserving multi-dimensional and large domain data release
  • Privacy preserving genome data publication
  • Statistical data modeling
  • Experiences


  • Research assistant in AIMS group at Emory University (2010 - Present)
  • Personalized differential privacy
    Understanding the privacy budget of differential privacy
    Adaptive Differentially Private Data Release (ADP)
    ( Demo website of DPCopula and other DP data release methods )

  • Summer intern at iDash lab, University of California, San Diego 2014
  • Privacy preserving top significant SNPs selection
    (Presentation vedio on Youtube)

  • Summer intern at iDash lab, University of California, San Diego 2013
    Privacy preserving support vector machine using small portion of public data
    (Presentation vedio on Youtube)

  • Research assistant at computer science lab, Northeastern University (Fall 2009 - Spring 2010)
  • Software aging in the load balancer of Web clusters.
    Developed a dynamic load balancing mechanism to decrease software aging effects of Web server clusters.

  • Undergraduate dissertation thesis: Dijkstra in the Optimization Path of Physical Distribution . (Spring 2009)
  • Submitted Papers


  • Understand the privacy budget of differential privacy in the context of biomedical data analysis.
    Haoran Li, Li Xiong, Shuang Wang, Xiaoqian Jiang.
    Submitted to AMIA Joint Summits on Translational Science (AMIA 2015)

  • Published Papers


  • Differentially Private SNP selection in Genome-Wide Association Studies.
    Haoran Li, Xiaoqian Jiangy, Zhanglong Ji, and Li Xiong. (PDF)
    Recommended to Journal of the American Medical Informatics Association (JAMIA), 2014

  • DPCube: Differentially Private Histogram Release through Multidimensional Partitioning. (PDF)
    Yonghui Xiao, Li Xiong, Liyue Fan, Slawomir Goryczka, and Haoran Li.
    In Transactions on Data Privacy , 2014

  • Privacy Preserving RBF Kernel Support Vector Machine.
    Haoran Li, Li Xiong, Lucila Ohno-Machado, Xiaoqian Jiang. (PDF)
    In BioMed Research International, Special issue on Biomedical Data Integration, Modeling, and Simulation in the Era of Big Data and Translational Medicine, 2014

  • DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing.
    Haoran Li, Li Xiong, Xiaoqian Jiang and Lifan Zhang. (PDF)
    In 17th Very Large Database (VLDB 2014), Hangzhou, China 2014

  • Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions.
    Haoran Li, Li Xiong, Xiaoqian Jiang. (PDF)
    In 17th International Conference on Extending Database Technology (EDBT 2014), Athens, 2014 [Full Paper, acceptance ratio: ~20% (266 submissions)]

  • Dynamic Load-Balance Strategy based on Software Aging in Web Cluster System.
    Haoran Li, Jun Guo, Weiyue Li,Bin Zhang.
    International Conference on Advanced Measurement and Test (AMT 2010) and Key Engineering Journal

  • Finding the Good of Health Care System.
    Haoran Li, Li Wan, Ting Zhang.
    Vol.24, No.5, Oct.2008, College Mathematics
  • Hornors and Awards

  • TATTO fellowship, Laney Graduate School of Emory University, 2014.
  • Southwest Grace Hopper Women Scholarship, 2013
  • Grad Cohort Workshop Scholarship, 2013
  • Ph.D. Fellowship Award, Laney Graduate School of Emory University, 2010-Present.
  • Grace Hopper Celebration of Women in Computing scholarship, 2010
  • Master, Fellowship Award, Graduate School of Northeastern University, 2009-2010.
  • First-level scholarships for consecutive four years, HFUT, 2006-2009
  • First-level excellent freshmen scholarships, HFUT, 2005
  • Professional Activities

  • Reviewer of AMIA 2015, Journal of Clouding Computing, MSCEME (2013)
    ICDE 2014, CIKM 2014, IEEE Big Data 2014, Journal of Biomedical Science

    Teaching Experience

  • Instructor -- Fall 2014: CS130R - Programming in Python
  • Teaching assistant -- Fall 2013: CS170 - Computer Science I
  • Teaching assistant -- Spring 2014: CS170 - Computer Science I