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