Progressive tone mapping of brain images at single-neuron resolution. - Puning Zhao; Zhiwei Xiong; Dong Liu 002; Hao Wang 161; Chaoyu Yang; Lufeng Ding; Weiping Ding 002; Zheng-Jun Zha; Guoqiang Bi; Feng Wu 001 (GlobalSIP, 2017)

Nonparametric Direct Entropy Difference Estimation. - Puning Zhao; Lifeng Lai (ITW, 2018)

Minimax Regression via Adaptive Nearest Neighbor. - Puning Zhao; Lifeng Lai (ISIT, 2019)

Analysis of K Nearest Neighbor KL Divergence Estimation for Continuous Distributions. - Puning Zhao; Lifeng Lai (ISIT, 2020)

Analysis of KNN Information Estimators for Smooth Distributions. - Puning Zhao; Lifeng Lai (IEEE Trans. Inf. Theory, 2020)

Minimax Optimal Estimation of KL Divergence for Continuous Distributions. - Puning Zhao; Lifeng Lai (IEEE Trans. Inf. Theory, 2020)

Efficient Classification with Adaptive KNN. - Puning Zhao; Lifeng Lai (AAAI, 2021)

On the Convergence Rates of KNN Density Estimation. - Puning Zhao; Lifeng Lai (ISIT, 2021)

Optimal Stochastic Nonconvex Optimization with Bandit Feedback. - Puning Zhao; Lifeng Lai (CoRR, 2021)

Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression. - Puning Zhao; Lifeng Lai (IEEE Trans. Inf. Theory, 2021)

Analysis of KNN Density Estimation. - Puning Zhao; Lifeng Lai (IEEE Trans. Inf. Theory, 2022)

Entropy Rate Estimation for Markov Chains with Continuous Distributions. - Puning Zhao; Lifeng Lai (ISIT, 2023)

High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers. - Puning Zhao; Zhiguo Wan (CoRR, 2023)

Robust Nonparametric Regression under Poisoning Attack. - Puning Zhao; Zhiguo Wan (AAAI, 2024)

A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. - Puning Zhao; Fei Yu; Zhiguo Wan (AAAI, 2024)

Robust Federated Learning with Realistic Corruption. - Puning Zhao; Jiafei Wu; Zhe Liu 001 (APWeb/WAIM (4), 2024)

A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. - Puning Zhao; Lifeng Lai; Li Shen 008; Qingming Li; Jiafei Wu; Zhe Liu 001 (NeurIPS, 2024)

Soft Label PU Learning. - Puning Zhao; Jintao Deng; Xu Cheng (CoRR, 2024)

Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning. - Qingming Li; Juzheng Miao; Puning Zhao; Li Zhou; Shouling Ji; Bowen Zhou 002; Furui Liu (CoRR, 2024)

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. - Huiwen Wu; Xiaohan Li; Deyi Zhang; Xiaogang Xu 002; Jiafei Wu; Puning Zhao; Zhe Liu 001 (CoRR, 2024)

Enhancing Learning with Label Differential Privacy by Vector Approximation. - Puning Zhao; Rongfei Fan; Huiwen Wu; Qingming Li; Jiafei Wu; Zhe Liu 001 (CoRR, 2024)

Learning with User-Level Local Differential Privacy. - Puning Zhao; Li Shen 008; Rongfei Fan; Qingming Li; Huiwen Wu; Jiafei Wu; Zhe Liu 001 (CoRR, 2024)

Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-IID Datasets. - Shiyuan Zuo; Xingrun Yan; Rongfei Fan; Li Shen 008; Puning Zhao; Jie Xu 002; Han Hu 003 (CoRR, 2024)

Contextual Bandits for Unbounded Context Distributions. - Puning Zhao; Jiafei Wu; Zhe Liu 001; Huiwen Wu (CoRR, 2024)

Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets. - Xingrun Yan; Shiyuan Zuo; Rongfei Fan; Han Hu 003; Li Shen 008; Puning Zhao; Yong Luo 002 (CoRR, 2024)

OS-Level PMC-Based Runtime Thermal Control for ARM Mobile CPUs. - Nan Che; Weihua Chen; Puning Zhao; Fei Yu 012; Zhijun Li 002; Xing Gao 004; Yuandi Li; Xiaogang Cui; Jie Cheng (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. - Puning Zhao; Jiafei Wu; Zhe Liu 001; Chong Wang 001; Rongfei Fan; Qingming Li (AAAI, 2025)

Enhancing Learning with Label Differential Privacy by Vector Approximation. - Puning Zhao; Jiafei Wu; Zhe Liu 001; Li Shen 008; Zhikun Zhang 001; Rongfei Fan; Le Sun; Qingming Li (ICLR, 2025)

An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy. - Puning Zhao; Zhikun Zhang 001; Jiawei Dong; Jiafei Wu; Zhe Liu 001; Shaowei Wang; Yunjun Gao (SP, 2025)

DCF-Net: Efficient Target Speaker Extraction by Leveraging Mixture and Enrollment Interactions. - Ke Xue; Rongfei Fan; Chang Sun; Puning Zhao; Jianping An (IEEE Signal Process. Lett., 2025)

On Theoretical Limits of Learning with Label Differential Privacy. - Puning Zhao; Chuan Ma; Li Shen 008; Shaowei Wang; Rongfei Fan (CoRR, 2025)

Minimax Optimal Q Learning With Nearest Neighbors. - Puning Zhao; Lifeng Lai (IEEE Trans. Inf. Theory, 2025)

Robust Federated Learning Under Realistic Corruption: An Iterative Filtering Approach. - Jiafei Wu; Puning Zhao; Chong Wang 001; Zhe Liu 001 (IEEE Internet Things J., 2025)