Puning Zhao - RankMe

60 papers A* 12B 5Journal 39Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BCA-IML: Bidirectional cross-attention guided multi-scale feature fusion for image manipulation localization. Expert Syst. Appl. Yulin Cheng, Wenyu Liu, Tianqiang Huang, Haifeng Luo, Puning Zhao, Jianke Zhu
2026	J	`jnl`	Dual-View Predictive Diffusion: Lightweight Speech Enhancement via Spectrogram-Image Synergy. CoRR Ke Xue, Rongfei Fan, Kai Li, Shanping Yu, Puning Zhao, Jianping An
2026	A*	`conf`	High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers. AAAI Wenyu Liu, Tianqiang Huang, Pengfei Zhang, Zong Ke, Minghui Min, Puning Zhao
2026	A*	`conf`	Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN. AAAI Kaichen Ouyang, Zong Ke, Shengwei Fu, Lingjie Liu, Puning Zhao, Dayu Hu
2026	A*	`conf`	MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies. AAAI Weiwei Qi, Shuo Shao, Wei Gu, Tianhang Zheng, Puning Zhao, Zhan Qin, Kui Ren
2026	J	`jnl`	Task Offloading With Differential Privacy in Multi-Access Edge Computing: An A3C-Based Approach. IEEE Trans. Cogn. Commun. Netw. Minghui Min, Jincheng Duan, Mingcheng Liu, Ning Wang, Puning Zhao, Hongliang Zhang, Zhu Han
2025	A*	`conf`	An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy. SP Puning Zhao, Zhikun Zhang, Jiawei Dong, Jiafei Wu, Zhe Liu, Shaowei Wang, Yunjun Gao
2025	J	`jnl`	Consistent Estimation of Numerical Distributions under Local Differential Privacy by Wavelet Expansion. CoRR Puning Zhao, Zhikun Zhang, Bo Sun, Li Shen, Liang Zhang, Shaowei Wang, Zhe Liu
2025	A*	`conf`	Contextual Bandits for Unbounded Context Distributions. ICML Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng
2025	J	`jnl`	DCF-Net: Efficient Target Speaker Extraction by Leveraging Mixture and Enrollment Interactions. IEEE Signal Process. Lett. Ke Xue, Rongfei Fan, Chang Sun, Puning Zhao, Jianping An
2025	A*	`conf`	Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. AAAI Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li
2025	J	`jnl`	Dynamic Target Attack. CoRR Kedong Xiu, Churui Zeng, Tianhang Zheng, Xinzhe Huang, Xiaojun Jia, Di Wang, Puning Zhao, Zhan Qin, Kui Ren
2025	J	`jnl`	Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives. CoRR Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao
2025	A*	`conf`	Enhancing Learning with Label Differential Privacy by Vector Approximation. ICLR Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li
2025	J	`jnl`	Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity. IEEE Trans. Mob. Comput. Shiyuan Zuo, Xingrun Yan, Rongfei Fan, Han Hu, Hangguan Shan, Tony Q. S. Quek, Puning Zhao
2025	J	`jnl`	H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning. CoRR Shiyuan Zuo, Rongfei Fan, Cheng Zhan, Jie Xu, Puning Zhao, Han Hu
2025	J	`jnl`	HarmMetric Eval: Benchmarking Metrics and Judges for LLM Harmfulness Assessment. CoRR Langqi Yang, Tianhang Zheng, Kedong Xiu, Yixuan Chen, Di Wang, Puning Zhao, Zhan Qin, Kui Ren
2025	J	`jnl`	MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies. CoRR Weiwei Qi, Shuo Shao, Wei Gu, Tianhang Zheng, Puning Zhao, Zhan Qin, Kui Ren
2025	J	`jnl`	Minimax Optimal Q Learning With Nearest Neighbors. IEEE Trans. Inf. Theory Puning Zhao, Lifeng Lai
2025	A*	`conf`	Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints. ICML Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao
2025	J	`jnl`	On Theoretical Limits of Learning with Label Differential Privacy. CoRR Puning Zhao, Chuan Ma, Li Shen, Shaowei Wang, Rongfei Fan
2025	—	`conf`	PromptFake: Generalizable Deepfake Detection via Orthogonal Prompts and Layer-Wise Feature Decoupling in CLIP. PRCV (12) Xueying Chen, Wenyu Liu, Tianqiang Huang, Haifeng Luo, Puning Zhao
2025	J	`jnl`	Robust Federated Learning Under Realistic Corruption: An Iterative Filtering Approach. IEEE Internet Things J. Jiafei Wu, Puning Zhao, Chong Wang, Zhe Liu
2025	J	`jnl`	Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets. IEEE Trans. Mob. Comput. Xingrun Yan, Shiyuan Zuo, Rongfei Fan, Han Hu, Li Shen, Puning Zhao, Yong Luo
2024	A*	`conf`	A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. AAAI Puning Zhao, Fei Yu, Zhiguo Wan
2024	A*	`conf`	A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. NeurIPS Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu
2024	J	`jnl`	A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. CoRR Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu
2024	J	`jnl`	Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-IID Datasets. CoRR Shiyuan Zuo, Xingrun Yan, Rongfei Fan, Li Shen, Puning Zhao, Jie Xu, Han Hu
2024	J	`jnl`	CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. CoRR Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu
2024	J	`jnl`	Contextual Bandits for Unbounded Context Distributions. CoRR Puning Zhao, Jiafei Wu, Zhe Liu, Huiwen Wu
2024	J	`jnl`	Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. CoRR Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li
2024	J	`jnl`	Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning. CoRR Qingming Li, Juzheng Miao, Puning Zhao, Li Zhou, Shouling Ji, Bowen Zhou, Furui Liu
2024	J	`jnl`	Enhancing Learning with Label Differential Privacy by Vector Approximation. CoRR Puning Zhao, Rongfei Fan, Huiwen Wu, Qingming Li, Jiafei Wu, Zhe Liu
2024	J	`jnl`	Learning with User-Level Local Differential Privacy. CoRR Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen Wu, Jiafei Wu, Zhe Liu
2024	J	`jnl`	OS-Level PMC-Based Runtime Thermal Control for ARM Mobile CPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Nan Che, Weihua Chen, Puning Zhao, Fei Yu, Zhijun Li, Xing Gao, Yuandi Li, Xiaogang Cui, Jie Cheng
2024	—	`conf`	Robust Federated Learning with Realistic Corruption. APWeb/WAIM (4) Puning Zhao, Jiafei Wu, Zhe Liu
2024	A*	`conf`	Robust Nonparametric Regression under Poisoning Attack. AAAI Puning Zhao, Zhiguo Wan
2024	J	`jnl`	Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets. CoRR Xingrun Yan, Shiyuan Zuo, Rongfei Fan, Han Hu, Li Shen, Puning Zhao, Yong Luo
2024	J	`jnl`	Soft Label PU Learning. CoRR Puning Zhao, Jintao Deng, Xu Cheng
2023	J	`jnl`	A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. CoRR Puning Zhao, Fei Yu, Zhiguo Wan
2023	B	`conf`	Entropy Rate Estimation for Markov Chains with Continuous Distributions. ISIT Puning Zhao, Lifeng Lai
2023	J	`jnl`	High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers. CoRR Puning Zhao, Zhiguo Wan
2023	J	`jnl`	Minimax Optimal Q Learning with Nearest Neighbors. CoRR Puning Zhao, Lifeng Lai
2023	J	`jnl`	Robust Nonparametric Regression under Poisoning Attack. CoRR Puning Zhao, Zhiguo Wan
2022	J	`jnl`	Analysis of KNN Density Estimation. IEEE Trans. Inf. Theory Puning Zhao, Lifeng Lai
2021	A*	`conf`	Efficient Classification with Adaptive KNN. AAAI Puning Zhao, Lifeng Lai
2021	J	`jnl`	Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression. IEEE Trans. Inf. Theory Puning Zhao, Lifeng Lai
2021	B	`conf`	On the Convergence Rates of KNN Density Estimation. ISIT Puning Zhao, Lifeng Lai
2021	J	`jnl`	Optimal Stochastic Nonconvex Optimization with Bandit Feedback. CoRR Puning Zhao, Lifeng Lai
2020	B	`conf`	Analysis of K Nearest Neighbor KL Divergence Estimation for Continuous Distributions. ISIT Puning Zhao, Lifeng Lai
2020	J	`jnl`	Analysis of KNN Density Estimation. CoRR Puning Zhao, Lifeng Lai
2020	J	`jnl`	Analysis of KNN Information Estimators for Smooth Distributions. IEEE Trans. Inf. Theory Puning Zhao, Lifeng Lai
2020	J	`jnl`	Minimax Optimal Estimation of KL Divergence for Continuous Distributions. CoRR Puning Zhao, Lifeng Lai
2020	J	`jnl`	Minimax Optimal Estimation of KL Divergence for Continuous Distributions. IEEE Trans. Inf. Theory Puning Zhao, Lifeng Lai
2019	J	`jnl`	Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression. CoRR Puning Zhao, Lifeng Lai
2019	B	`conf`	Minimax Regression via Adaptive Nearest Neighbor. ISIT Puning Zhao, Lifeng Lai
2018	—	`conf`	Analysis of KNN Information Estimators for Smooth Distributions. Allerton Puning Zhao, Lifeng Lai
2018	J	`jnl`	Analysis of KNN Information Estimators for Smooth Distributions. CoRR Puning Zhao, Lifeng Lai
2018	B	`conf`	Nonparametric Direct Entropy Difference Estimation. ITW Puning Zhao, Lifeng Lai
2017	—	`conf`	Progressive tone mapping of brain images at single-neuron resolution. GlobalSIP Puning Zhao, Zhiwei Xiong, Dong Liu, Hao Wang, Chaoyu Yang, Lufeng Ding, Weiping Ding, Zheng-Jun Zha, Guoqiang Bi, Feng Wu