Analysis of knn density estimation P Zhao, L Lai IEEE Transactions on Information Theory 68 (12), 7971-7995, 2022 | 28 | 2022 |
Minimax optimal estimation of KL divergence for continuous distributions P Zhao, L Lai IEEE Transactions on Information Theory 66 (12), 7787-7811, 2020 | 25 | 2020 |
Analysis of KNN information estimators for smooth distributions P Zhao, L Lai IEEE Transactions on Information Theory 66 (6), 3798-3826, 2019 | 18 | 2019 |
Minimax rate optimal adaptive nearest neighbor classification and regression P Zhao, L Lai IEEE Transactions on Information Theory 67 (5), 3155-3182, 2021 | 15 | 2021 |
Efficient classification with adaptive KNN P Zhao, L Lai Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11007 …, 2021 | 9 | 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 |
Optimal stochastic nonconvex optimization with bandit feedback P Zhao, L Lai arXiv preprint arXiv:2103.16082, 2021 | 4 | 2021 |
Minimax regression via adaptive nearest neighbor P Zhao, L Lai 2019 IEEE International Symposium on Information Theory (ISIT), 1447-1451, 2019 | 4 | 2019 |
Robust nonparametric regression under poisoning attack P Zhao, Z Wan Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17007 …, 2024 | 2 | 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 |
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 |
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 | | 2024 |
OS-Level PMC-Based Runtime Thermal Control for ARM Mobile CPUs N Che, W Chen, P Zhao, F Yu, Z Li, X Gao, Y Li, X Cui, J Cheng IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | | 2024 |
Minimax Optimal Learning with Nearest Neighbors P Zhao, L Lai arXiv preprint arXiv:2308.01490, 2023 | | 2023 |
Entropy Rate Estimation for Markov Chains with Continuous Distributions P Zhao, L Lai 2023 IEEE International Symposium on Information Theory (ISIT), 1884-1889, 2023 | | 2023 |
Exploring Multimodal Sensor Feature Fusion for Motion Pattern Recognition Y Li, C Wang, C Tang, P Zhao, N Che Chang and Zhao, Puning and Che, Nan, Exploring Multimodal Sensor Feature …, 0 | | |