| 2025 | AAAI | EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity. | Hongyan Bao, Pengwen Chen, Ying Sun, Zhize Li |
| 2024 | EMNLP | Defending Jailbreak Prompts via In-Context Adversarial Game. | Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang |
| 2024 | ICML | Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data. | Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang |
| 2023 | AAAI | Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. | Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang |
| 2022 | ICLR | Towards Understanding the Robustness Against Evasion Attack on Categorical Data. | Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang |
| 2021 | ICML | PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. | Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtrik |
| 2020 | KDD | Attackability Characterization of Adversarial Evasion Attack on Discrete Data. | Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang |
| 2019 | WSDM | Co-Embedding Attributed Networks. | Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang |