Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond F Liu, X Huang, Y Chen, JAK Suykens
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
219 2021 Robust visual tracking revisited: From correlation filter to template matching F Liu, C Gong, X Huang, T Zhou, J Yang, D Tao
IEEE Transactions on Image Processing 27 (6), 2777-2790, 2018
69 2018 Kernel regression in high dimensions: Refined analysis beyond double descent F Liu, Z Liao, J Suykens
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
60 2021 Robust visual tracking via online discriminative and low-rank dictionary learning T Zhou, F Liu, H Bhaskar, J Yang
IEEE transactions on cybernetics 48 (9), 2643-2655, 2017
49 2017 Co-saliency detection via inter and intra saliency propagation C Ge, K Fu, F Liu, L Bai, J Yang
Signal Processing: Image Communication 44, 69-83, 2016
49 2016 Graph regularized and locality-constrained coding for robust visual tracking T Zhou, H Bhaskar, F Liu, J Yang
IEEE Transactions on Circuits and Systems for Video Technology 27 (10), 2153 …, 2016
36 2016 Deep kernel learning via random Fourier features J Xie, F Liu, K Wang, X Huang
arXiv preprint arXiv:1910.02660, 2019
27 2019 Generalization Properties of NAS under Activation and Skip Connection Search Z Zhu, F Liu, GG Chrysos, V Cevher
Advances in Neural Information Processing Systems (NeurIPS), 2022
22 2022 Random Fourier features via fast surrogate leverage weighted sampling F Liu, X Huang, Y Chen, J Yang, J Suykens
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4844-4851, 2020
22 2020 Learning Data-adaptive Non-parametric Kernels. F Liu, X Huang, C Gong, J Yang, L Li
Journal of Machine Learning Research (JMLR) 21 (208), 1-39, 2020
21 2020 Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) Z Zhu, F Liu, GG Chrysos, V Cevher
Advances in Neural Information Processing Systems (NeurIPS), 2022
19 2022 Visual tracking via nonnegative multiple coding F Liu, C Gong, T Zhou, K Fu, X He, J Yang
IEEE Transactions on Multimedia 19 (12), 2680-2691, 2017
19 2017 Understanding Deep Neural Function Approximation in Reinforcement Learning via F Liu, L Viano, V Cevher
Advances in Neural Information Processing Systems (NeurIPS), 2022
18 2022 Indefinite kernel logistic regression with concave-inexact-convex procedure F Liu, X Huang, C Gong, J Yang, JAK Suykens
IEEE Transactions on Neural Networks and Learning Systems 30 (3), 765-776, 2018
18 2018 Online discriminative dictionary learning for robust object tracking T Zhou, F Liu, H Bhaskar, J Yang, H Zhang, P Cai
Neurocomputing 275, 1801-1812, 2018
15 2018 Inverse nonnegative local coordinate factorization for visual tracking F Liu, T Zhou, C Gong, K Fu, L Bai, J Yang
IEEE Transactions on Circuits and Systems for Video Technology 28 (8), 1752-1764, 2017
15 2017 Benign Overfitting in Deep Neural Networks under Lazy Training Z Zhu, F Liu, GG Chrysos, F Locatello, V Cevher
International Conference on Machine Learning (ICML), 2023
14 2023 Online learning and joint optimization of combined spatial-temporal models for robust visual tracking T Zhou, H Bhaskar, F Liu, J Yang, P Cai
Neurocomputing 226, 221-237, 2017
14 2017 On the Double Descent of Random Features Models Trained with SGD F Liu, JAK Suykens, V Cevher
Advances in Neural Information Processing Systems (NeurIPS), 2022
13 2022 Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study Y Wu, Z Zhu, F Liu, GG Chrysos, V Cevher
Advances in Neural Information Processing Systems (NeurIPS), 2022
12 2022 
Jie YangShanghai Jiao Tong UniversityEmail yang diverifikasi di sjtu.edu.cn
