40 citations · 47 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 40 cited
Piecewise Linear Neural Networks and Deep Learning
Qinghua Tao, Li Li, Xiaolin Huang +3
As a powerful modelling method, PieceWise Linear Neural Networks (PWLNNs) have proven successful in various fields, most recently in deep learning. To apply PWLNN methods, both the…
cs.LG2018
Learning Data-adaptive Nonparametric Kernels
Fanghui Liu, Xiaolin Huang, Chen Gong +2
In this paper, we propose a data-adaptive non-parametric kernel learning framework in margin based kernel methods. In model formulation, given an initial kernel matrix, a data-adap…
math.OC2016★ 7 cited
Adaptive Block Coordinate DIRECT algorithm
Qinghua Tao, Xiaolin Huang, Shuning Wang +1
DIviding RECTangles (DIRECT) is an efficient and popular method in dealing with bound constrained optimization problems. However, DIRECT suffers from dimension curse, since its com…