| 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 | 217 | 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 | 59 | 2021 |
| 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 |
| 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 | 46 | 2017 |
| 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 | 28 | 2019 |
| 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 | 23 | 2022 |
| 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 | 20 | 2020 |
| 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 | 19 | 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 |
| 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 | 18 | 2017 |
| 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 |
| 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 |
| 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 | 13 | 2023 |
| 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 |
| 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 | 12 | 2022 |
Jie YangShanghai Jiao Tong Universityכתובת אימייל מאומתת בדומיין sjtu.edu.cn
