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刘方辉

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2022年期刊论文和会议论文
[1] Kun Fang, Fanghui Liu, Xiaolin Huang, Jie Yang: End-to-end Kernel Learning via Generative Random Fourier Features, Pattern Recognition, 1(1): accepted, 2022
2021年期刊论文和会议论文
[1] Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A.K. Suykens: Analysis of regularized least-squares in reproducing kernel Kreĭn spaces, Machine Learning, 1-29, 2021
[2] Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A.K. Suykens: Generalization properties of hyper-RKHS and its applications, Journal of Machine Learning Research, 22(1): 1-38, 2021
[3] Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A.K. Suykens: Random features for kernel approximation: A survey on algorithms, theory, and beyond, IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, 2021
[4] Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A.K. Suykens: Towards a Unified Quadrature Framework for Large-Scale Kernel Machines, IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, 2021
[5] Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A.K. Suykens: Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures, in proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), online, pp. 388-396, 2021
2020年期刊论文和会议论文
[1] Fanghui Liu, Xiaolin Huang, Lei Shi, Jie Yang, Johan A.K. Suykens: A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels, IEEE Transactions on Neural Networks and Learning Systems, 31(8): 2162-2388, 2020
[2] Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li: Learning Data-adaptive Non-parametric Kernels, Journal of Machine Learning Research, 21(208): 1-39, 2020
[3] Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A.K. Suykens: Random Fourier Features via Fast Surrogate Leverage Weighted Sampling, in proceedings of AAAI Conference on Artificial Intelligence (AAAI), New York, USA, pp. 1-10, 2020
2019年期刊论文和会议论文
[1] Fanghui Liu, Xiaolin Huang, Jie Yang, Chen Gong, Johan A.K. Suykens: Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure, IEEE Transactions on Neural Networks and Learning Systems, 30(3): 765-776, 2019
2018年期刊论文和会议论文
[1] Fanghui Liu, Chen Gong, Xiaolin Huang,Tao Zhou, Jie Yang, Dacheng Tao: Robust Visual Tracking Revisited: From Correlation Filter to Template Matching, IEEE Transactions on Image Processing, 27(6): 2777-2790, 2018
[2] Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang: Online Discriminative Dictionary Learning for Robust Object Tracking, Neurocomputing, 275: 1801-1812, 2018
[3] Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li: Nonlinear Pairwise Layer and its Training for Kernel Learning, in proceedings of AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA, pp. 3659-3666, 2018
2017年期刊论文和会议论文
[1] Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Xiangjian He, Jie Yang: Visual Tracking via Nonnegative Multiple Coding, IEEE Transactions on Multimedia, 19(12): 2680-2691, 2017
[2] Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang : Online learning and joint optimization of combined spatial-temporal models for robust visual trackin, Neurocomputing, 226: 221-237, 2017
[3] Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang: Graph Regularized and Locality-constrained Coding for Robust Visual Tracking, IEEE Transactions on Circuits and Systems for Video Technology, 27(10): 2153-2164, 2017
[4] Fanghui Liu, Xiaolin Huang, Jie Yang: Indefinite Kernel Logistic Regression, in proceedings of ACM on Multimedia Conference (ACM MM), Mountain View, CA, USA, pp. 846-857, 2017
[5] Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola Kasabov: Robust Kernel Approximation for Classification, in proceedings of International Conference on Neural Information Processing (ICONIP), Guangzhou, China, pp. 289-296, 2017
[6] Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang, Lei Chen, Ping Cai: Visual Tracking via Structural Patch-based Dictionary Pair Learning, in proceedings of IEEE International Conference on Image Processing (ICIP), Beijing, pp. 0-0, 2017
[7] Cheng Peng, Fanghui Liu, Haiyan Yang, Jie Yang and Nikola Kasabov: Correlation Filters with Adaptive Memories and Fusion for Visual Tracking, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 0-0, 2017
2016年期刊论文和会议论文
[1] Fanghui Liu, Tao Zhou, Jie Yang: Geometric Affine Transformation Estimation via Correlation Filter for Visual Tracking, Neurocomputing, 214: 109-120, 2016
[2] Kunqi Gu, Tao Zhou, Fanghui Liu, Jie Yang, Yu Qiao: Correlation Filter Tracking via Bootstrap Learning, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2016
[3] Fanghui Liu, Mingna Liu, Tao Zhou, Yu Qiao, Jie Yang: Incremental Robust Nonnegative Matrix Factorization for Object tracking, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 0-0, 2016
2015年期刊论文和会议论文
[1] Fanghui Liu ,Tao Zhou, Irene Y.H. Gu , Jie Yang: Visual Tracking via Nonnegative Regularization Multiple Locality Coding, in proceedings of International Conference on Computer Vision (ICCV), ?, pp. 0-0, 2015

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