| 2026 | AAAI | Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model. | Huiwen Wu, Shuo Zhang, Yi Liu, Hongbin Ye |
| 2025 | AAAI | DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. | Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu |
| 2025 | ACISP | Comparing and Improving Frequency Estimation Perturbation Mechanisms Under Local Differential Privacy. | She Sun, Jiafei Wu, Jian Yang, Li Zhou, Huiwen Wu |
| 2025 | ACISP | DPFedSub: A Differentially Private Federated Learning with Randomized Subspace Descend. | Huiwen Wu, Chuan Ma, Xueran Li, Deyi Zhang, Xiaohan Li, She Sun |
| 2025 | ECAI | CG-FedLLM: How to Compress Gradients in Federated Fine-Tuning for Large Language Models. | Huiwen Wu, Xiaogang Xu, Deyi Zhang, Xiaohan Li, Jiafei Wu, Zhe Liu |
| 2024 | PKAW | Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner. | Huiwen Wu |
| 2024 | PKAW | A Variational Approach to Personalized Federated Learning and Its Improvement. | Huiwen Wu, Shuo Zhang |
| 2022 | IJCAI | Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. | Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng |
| 2022 | WWW | Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. | Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang |
| 2002 | ICDM | Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification. | Huiwen Wu, Dimitrios Gunopulos |