Search Results - "Xia, Yuhou"

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  1. 1

    Private queries on encrypted genomic data by Çetin, Gizem S, Chen, Hao, Laine, Kim, Lauter, Kristin, Rindal, Peter, Xia, Yuhou

    Published in BMC medical genomics (26-07-2017)
    “…One of the tasks in the iDASH Secure Genome Analysis Competition in 2016 was to demonstrate the feasibility of privacy-preserving queries on homomorphically…”
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    Journal Article
  2. 2

    Irreducibility of automorphic Galois representations of low dimensions by Xia, Yuhou

    Published in Mathematische annalen (06-08-2019)
    “…Let π be a polarizable, regular algebraic, cuspidal automorphic representation of GL n ( A F ) , where F is an imaginary CM field and n ≤ 6 . We show that…”
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    Journal Article
  3. 3

    Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation by Kim, Miran, Song, Yongsoo, Wang, Shuang, Xia, Yuhou, Jiang, Xiaoqian

    Published in JMIR medical informatics (17-04-2018)
    “…Learning a model without accessing raw data has been an intriguing idea to security and machine learning researchers for years. In an ideal setting, we want to…”
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    Journal Article
  4. 4

    SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol by Jiang, Yichen, Hamer, Jenny, Wang, Chenghong, Jiang, Xiaoqian, Kim, Miran, Song, Yongsoo, Xia, Yuhou, Mohammed, Noman, Sadat, Md Nazmus, Wang, Shuang

    “…Machine learning applications are intensively utilized in various science fields, and increasingly the biomedical and healthcare sector. Applying predictive…”
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    Journal Article
  5. 5

    Irreducibility of Automorphic Galois Representations of Low Dimensions by Xia, Yuhou

    Published 01-01-2018
    “…Let π be a polarizable, regular algebraic, cuspidal automorphic representation of GLn(AF), where F is a CM field. We show that for n ≤ 6, there is a Dirichlet…”
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    Dissertation
  6. 6

    Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces by Deshwal, Aryan, Cakmak, Sait, Xia, Yuhou, Eriksson, David

    Published 09-09-2024
    “…Bayesian optimization (BO) is a powerful approach to sample-efficient optimization of black-box functions. However, in settings with very few function…”
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    Journal Article
  7. 7

    Rigorous performance bounds for quadratic and nested dynamical decoupling by Xia, Yuhou, Uhrig, Götz S., Lidar, Daniel A.

    “…We present rigorous performance bounds for the quadratic dynamical decoupling pulse sequence which protects a qubit from general decoherence, and for its…”
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    Journal Article
  8. 8

    Rigorous Performance Bounds for Quadratic and Nested Dynamical Decoupling by Xia, Yuhou, Uhrig, Gotz S, Lidar, Daniel A

    Published 15-12-2011
    “…Phys. Rev. A 84, 062332 (2011) We present rigorous performance bounds for the quadratic dynamical decoupling (QDD) pulse sequence which protects a qubit from…”
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    Journal Article