| 2026 | AAAI | High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers. | Wenyu Liu, Tianqiang Huang, Pengfei Zhang, Zong Ke, Minghui Min, Puning Zhao |
| 2026 | AAAI | Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN. | Kaichen Ouyang, Zong Ke, Shengwei Fu, Lingjie Liu, Puning Zhao, Dayu Hu |
| 2026 | AAAI | MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies. | Weiwei Qi, Shuo Shao, Wei Gu, Tianhang Zheng, Puning Zhao, Zhan Qin, Kui Ren |
| 2026 | SP | Sparse Estimation Under Local Differential Privacy at All Privacy Levels. | Puning Zhao, Qingqing Ye, Shaowei Wang, Jun Feng, Sheng Yue, Zhen Chen, Xiaochun Cao |
| 2026 | SP | Consistent Estimation of Numerical Distributions Under Local Differential Privacy by Wavelet Expansion. | Puning Zhao, Zhikun Zhang, Bo Sun, Li Shen, Liang Zhang, Shaowei Wang, Zhe Liu |
| 2025 | AAAI | Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. | Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li |
| 2025 | ICLR | Enhancing Learning with Label Differential Privacy by Vector Approximation. | Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li |
| 2025 | ICML | Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints. | Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao |
| 2025 | ICML | Contextual Bandits for Unbounded Context Distributions. | Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng |
| 2025 | SP | An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy. | Puning Zhao, Zhikun Zhang, Jiawei Dong, Jiafei Wu, Zhe Liu, Shaowei Wang, Yunjun Gao |
| 2024 | AAAI | Robust Nonparametric Regression under Poisoning Attack. | Puning Zhao, Zhiguo Wan |
| 2024 | AAAI | A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. | Puning Zhao, Fei Yu, Zhiguo Wan |
| 2024 | APWEB | Robust Federated Learning with Realistic Corruption. | Puning Zhao, Jiafei Wu, Zhe Liu |
| 2023 | ISIT | Entropy Rate Estimation for Markov Chains with Continuous Distributions. | Puning Zhao, Lifeng Lai |
| 2021 | AAAI | Efficient Classification with Adaptive KNN. | Puning Zhao, Lifeng Lai |
| 2021 | ISIT | On the Convergence Rates of KNN Density Estimation. | Puning Zhao, Lifeng Lai |
| 2020 | ISIT | Analysis of K Nearest Neighbor KL Divergence Estimation for Continuous Distributions. | Puning Zhao, Lifeng Lai |
| 2019 | ISIT | Minimax Regression via Adaptive Nearest Neighbor. | Puning Zhao, Lifeng Lai |
| 2018 | ITW | Nonparametric Direct Entropy Difference Estimation. | Puning Zhao, Lifeng Lai |