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Fanghui Liu
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines

Nov 03, 2020
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens

* 27 pages, 9 figures 
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Kernel regression in high dimension: Refined analysis beyond double descent

Oct 06, 2020
Fanghui Liu, Zhenyu Liao, Johan A. K. Suykens

* 30 pages, 13 figures 
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End-to-end Kernel Learning via Generative Random Fourier Features

Sep 10, 2020
Kun Fang, Xiaolin Huang, Fanghui Liu, Jie Yang


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Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces

Jun 01, 2020
Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens


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Generalizing Random Fourier Features via Generalized Measures

May 30, 2020
Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens


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Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond

Apr 24, 2020
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens

* The current version is not ready for public avaliable 
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Random Fourier Features via Fast Surrogate Leverage Weighted Sampling

Nov 20, 2019
Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens

* accepted by AAAI-20 
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Deep Kernel Learning via Random Fourier Features

Oct 07, 2019
Jiaxuan Xie, Fanghui Liu, Kaijie Wang, Xiaolin Huang


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Robust Visual Tracking Revisited: From Correlation Filter to Template Matching

Apr 15, 2019
Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao

* has been published on IEEE TIP 
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Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions

Sep 26, 2018
Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens

* 20 pages, 2 figures 
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Learning Data-adaptive Nonparametric Kernels

Aug 31, 2018
Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li


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Indefinite Kernel Logistic Regression

Jul 06, 2017
Fanghui Liu, Xiaolin Huang, Jie Yang

* Note that this is not the camera-ready version 
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Robust Visual Tracking via Inverse Nonnegative Matrix Factorization

Jan 12, 2016
Fanghui Liu, Tao Zhou, Keren Fu, Irene Y. H. Gu, Jie Yang

* This paper has been withdrawn by the author due to part-based representation. On one hand, not all data can be successfully identified as 'parts' by NMF. On the other hand, inverse sparse representation could not fit this situation. I will give a clearer explanation from clustering instead of part-based representation 
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Visual Tracking via Nonnegative Regularization Multiple Locality Coding

Oct 29, 2015
Fanghui Liu, Tao Zhou, Irene Y. H. Gu, Jie Yang

* 8 pages, 5 figures, ICCVW 
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