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Qichao Que
Qichao Que
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Title
Cited by
Cited by
Year
Back to the future: Radial basis function networks revisited
Q Que, M Belkin
Artificial intelligence and statistics, 1375-1383, 2016
1132016
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
632015
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
412012
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
362012
Inverse density as an inverse problem: The fredholm equation approach
Q Que, M Belkin
Advances in neural information processing systems 26, 2013
242013
Learning with Fredholm kernels
Q Que, M Belkin, Y Wang
Advances in neural information processing systems 27, 2014
112014
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
72019
Graph laplacians on singular manifolds: Toward understanding complex spaces: Graph laplacians on manifolds with singularities and boundaries
M Belkin, Q Que, Y Wang, X Zhou
arXiv preprint arXiv:1211.6727, 2012
52012
Integral Equations For Machine Learning Problems
Q Que
The Ohio State University, 2016
32016
Supplementary Material: Inverse Density as an Inverse Problem
Q Que, M Belkin
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Articles 1–10