Back to the future: Radial basis function networks revisited Q Que, M Belkin Artificial intelligence and statistics, 1375-1383, 2016 | 101 | 2016 |

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 | 63 | 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 | 38 | 2012 |

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 | 31 | 2012 |

Inverse density as an inverse problem: The fredholm equation approach Q Que, M Belkin Advances in neural information processing systems 26, 2013 | 25 | 2013 |

Learning with Fredholm kernels Q Que, M Belkin, Y Wang Advances in neural information processing systems 27, 2014 | 11 | 2014 |

Feature selection for Facebook feed ranking system via a group-sparsity-regularized training algorithm X Ni, Y Yu, P Wu, Y Li, S Nie, Q Que, C Chen Proceedings of the 28th acm international conference on information and …, 2019 | 6 | 2019 |

Integral Equations For Machine Learning Problems Q Que The Ohio State University, 2016 | 1 | 2016 |

Supplementary Material: Inverse Density as an Inverse Problem Q Que, M Belkin | | |