Publications

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Privacy Technology
Jiang X, Menon A, Wang S, Kim J, Ohno-Machado L. Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration. PLoS One. 2012 ;7(11):e48823.
Wang S, Cui L, Que J, Choi D-H, Jiang X, Cheng S, Xie L. A Randomized Response Model For Privacy Preserving Smart Metering. IEEE Trans Smart Grid. 2012 ;3(2):1317-1324.
Wang S, Jiang X, Wu Y, Cui L, Cheng S, Ohno-Machado L. EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning. J Biomed Inform. 2013 ;46(3):480-96.
Cui L, Wang S, Jiang X, Cheng S. Adaptive Distributed Video Coding with Correlation Estimation using Expectation Propagation. Proc SPIE. 2012 ;8499.
Jiang X, Ji Z, Wang S, Mohammed N, Cheng S, Ohno-Machado L. Differential-Private Data Publishing Through Component Analysis. Trans Data Priv. 2013 ;6(1):19-34.
Wu Y, Jiang X, Wang S, Jiang W, Li P, Ohno-Machado L. Grid multi-category response logistic models. BMC Med Inform Decis Mak. 2015 ;15:10.
Jiang X, Zhao Y, Wang X, Malin B, Wang S, Ohno-Machado L, Tang H. A community assessment of privacy preserving techniques for human genomes. BMC Med Inform Decis Mak. 2014 ;14 Suppl 1:S1.
Ji Z, Jiang X, Wang S, Xiong L, Ohno-Machado L. Differentially private distributed logistic regression using private and public data. BMC Med Genomics. 2014 ;7 Suppl 1:S14.
Roozgard A, Barzigar N, Wang S, Jiang X, Cheng S. Empirical Transition Probability Indexing Sparse-Coding Belief Propagation (ETPI-SCoBeP) Genome Sequence Alignment. Cancer Inform. 2014 ;13(Suppl 1):159-65.
Wang S, Mohammed N, Chen R. Differentially private genome data dissemination through top-down specialization. BMC Med Inform Decis Mak. 2014 ;14 Suppl 1:S2.
Li Y, Jiang X, Wang S, Xiong H, Ohno-Machado L. VERTIcal Grid lOgistic regression (VERTIGO). J Am Med Inform Assoc. 2015 .
Wang S, Zhang Y, Dai W, Lauter K, Kim M, Tang Y, Xiong H, Jiang X. HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS. Bioinformatics. 2016 ;32(2):211-8.