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 | 178 | 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 | 67 | 2018 |
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 | 48 | 2016 |
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 | 43 | 2021 |
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 | 24 | 2019 |
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 | 19 | 2020 |
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 |
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 | 18 | 2020 |
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 | 17 | 2018 |
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 | 15 | 2022 |
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 |
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 | 14 | 2022 |
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 | 14 | 2017 |
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 |
Understanding Deep Neural Function Approximation in Reinforcement Learning via -Greedy Exploration F Liu, L Viano, V Cevher Advances in Neural Information Processing Systems (NeurIPS), 2022 | 13 | 2022 |
Robust visual tracking via constrained correlation filter coding F Liu, T Zhou, K Fu, J Yang Pattern Recognition Letters 84, 163-169, 2016 | 12 | 2016 |
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 | 11 | 2022 |
Analysis of regularized least-squares in reproducing kernel Kreĭn spaces F Liu, L Shi, X Huang, J Yang, JAK Suykens Machine Learning 110, 1145-1173, 2021 | 10 | 2021 |