| 2025 | CSCWD | An Adaptive Weighting Approach to Enhance the Efficiency and Robustness of Federated Learning. | Zhenkui Shi, Zhile Cao, Xiangyu Pan, Jiahao Zeng, Feng Yu |
| 2025 | CSCWD | Personalized Federated Learning with Dual Collaborative Information for Data Heterogeneity. | Jialin Wang, Zhenkui Shi, Xiangyu Pan, Jiahao Zeng |
| 2024 | CSCWD | Personalized federated learning based on feature fusion. | Wolong Xing, Zhenkui Shi, Hongyan Peng, Xiantao Hu, Yaozong Zheng, Xianxian Li |
| 2023 | ISCC | FedEF: Federated Learning for Heterogeneous and Class Imbalance Data. | Hongyan Peng, Tongtong Wu, Zhenkui Shi, Xianxian Li |
| 2021 | CSCWD | A Private Statistic Query Scheme for Encrypted Electronic Medical Record System. | Xianxian Li, Xuemei Fu, Feng Yu, Zhenkui Shi, Jie Li, Junhao Yang |
| 2021 | Qshine | Achieving Fair and Accountable Data Trading Scheme for Educational Multimedia Data Based on Blockchain. | Xianxian Li, Jiahui Peng, Zhenkui Shi, Chunpei Li |
| 2021 | Qshine | DBS: Blockchain-Based Privacy-Preserving RBAC in IoT. | Xianxian Li, Junhao Yang, Shiqi Gao, Zhenkui Shi, Jie Li, Xuemei Fu |
| 2017 | CCS | Enabling Privacy-assured Mobile Advertisement Targeting and Dissemination. | Zhenkui Shi, Xiaoning Liu, Xingliang Yuan |
| 2015 | INFOCOM | Towards secure and practical targeted mobile advertising. | Jinghua Jiang, Zhenkui Shi, Xingliang Yuan, Cong Wang, Xiaolin Gui |