| Analysis of knn density estimation P Zhao, L Lai IEEE Transactions on Information Theory 68 (12), 7971-7995, 2022 | 36 | 2022 |
| Minimax optimal estimation of KL divergence for continuous distributions P Zhao, L Lai IEEE Transactions on Information Theory 66 (12), 7787-7811, 2020 | 28 | 2020 |
| Analysis of KNN information estimators for smooth distributions P Zhao, L Lai IEEE Transactions on Information Theory 66 (6), 3798-3826, 2019 | 20 | 2019 |
| Minimax rate optimal adaptive nearest neighbor classification and regression P Zhao, L Lai IEEE Transactions on Information Theory 67 (5), 3155-3182, 2021 | 19 | 2021 |
| Efficient classification with adaptive KNN P Zhao, L Lai Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11007 …, 2021 | 11 | 2021 |
| Analysis of k nearest neighbor KL divergence estimation for continuous distributions P Zhao, L Lai 2020 IEEE International Symposium on Information Theory (ISIT), 2562-2567, 2020 | 6 | 2020 |
| Robust nonparametric regression under poisoning attack P Zhao, Z Wan Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17007 …, 2024 | 5 | 2024 |
| Minimax regression via adaptive nearest neighbor P Zhao, L Lai 2019 IEEE International Symposium on Information Theory (ISIT), 1447-1451, 2019 | 5 | 2019 |
| Optimal stochastic nonconvex optimization with bandit feedback P Zhao, L Lai arXiv preprint arXiv:2103.16082, 2021 | 4 | 2021 |
| A huber loss minimization approach to byzantine robust federated learning P Zhao, F Yu, Z Wan Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21806 …, 2024 | 3 | 2024 |
| On the convergence rates of KNN density estimation P Zhao, L Lai 2021 IEEE International Symposium on Information Theory (ISIT), 2840-2845, 2021 | 2 | 2021 |
| Nonparametric direct entropy difference estimation P Zhao, L Lai 2018 IEEE Information Theory Workshop (ITW), 1-5, 2018 | 2 | 2018 |
| CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models H Wu, X Li, D Zhang, X Xu, J Wu, P Zhao, Z Liu arXiv preprint arXiv:2405.13746, 2024 | 1 | 2024 |
| A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy P Zhao, L Lai, L Shen, Q Li, J Wu, Z Liu arXiv preprint arXiv:2405.13453, 2024 | 1 | 2024 |
| High dimensional distributed gradient descent with arbitrary number of byzantine attackers P Zhao, Z Wan arXiv preprint arXiv:2307.13352, 2023 | 1 | 2023 |
| Nearest neighbor methods with applications in functional estimation and machine learning P Zhao University of California, Davis, 2021 | 1 | 2021 |
| Progressive tone mapping of brain images at single-neuron resolution P Zhao, Z Xiong, D Liu, H Wang, C Yang, L Ding, W Ding, ZJ Zha, G Bi, ... 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 1 | 2017 |
| Learning with User-Level Local Differential Privacy P Zhao, L Shen, R Fan, Q Li, H Wu, J Wu, Z Liu arXiv preprint arXiv:2405.17079, 2024 | | 2024 |
| Enhancing Learning with Label Differential Privacy by Vector Approximation P Zhao, R Fan, H Wu, Q Li, J Wu, Z Liu arXiv preprint arXiv:2405.15150, 2024 | | 2024 |
| Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning Q Li, J Miao, P Zhao, L Zhou, S Ji, B Zhou, F Liu arXiv preprint arXiv:2405.13584, 2024 | | 2024 |
Lifeng LaiProfessor, University of California, DavisVerified email at ucdavis.edu
