Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval K Jiang, Q Que, B Kulis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 42 | 2015 |

Feature‐preserving reconstruction of singular surfaces TK Dey, X Ge, Q Que, I Safa, L Wang, Y Wang Computer Graphics Forum 31 (5), 1787-1796, 2012 | 28 | 2012 |

Back to the Future: Radial Basis Function Networks Revisited. Q Que, M Belkin AISTATS, 1375-1383, 2016 | 23 | 2016 |

Toward understanding complex spaces: Graph laplacians on manifolds with singularities and boundaries M Belkin, Q Que, Y Wang, X Zhou Conference on Learning Theory, 36.1-36.26, 2012 | 22* | 2012 |

Inverse density as an inverse problem: The fredholm equation approach Q Que, M Belkin Advances in neural information processing systems, 1484-1492, 2013 | 13 | 2013 |

Learning with fredholm kernels Q Que, M Belkin, Y Wang Advances in neural information processing systems, 2951-2959, 2014 | 7 | 2014 |

Integral Equations For Machine Learning Problems Q Que The Ohio State University, 2016 | | 2016 |