| 2025 | CEC | Q-A DE2: A Novel Approach for Solving Federated Learning Incentive Mechanisms Based on Stackelberg Game. | Chenyang Guo, Shengnan Zhao, Shiyue Qin |
| 2024 | ICICS | Secure and Robust Privacy-Preserving Federated Learning For Heterogeneous Resource. | Amina El Garne, Yunan Wei, Yucheng Lin, Shengnan Zhao, Chuan Zhao, Zhenxiang Chen |
| 2024 | ICONIP | LBRFL: Lightweight Privacy-Preserving Federated Learning with Byzantine-Robustness. | Pingzhang Shen, Shengnan Zhao, Jun Xu, Chuan Zhao, Zhenxiang Chen, Shanqing Guo |
| 2023 | SEC | Practical Single-Round Secure Wildcard Pattern Matching. | Jun Xu, Shengnan Zhao, Chuan Zhao, Zhenxiang Chen, Zhe Liu, Liming Fang |
| 2018 | NSS | Analysis on the Block Reward of Fork After Withholding (FAW). | Junming Ke, Han Jiang, Xiangfu Song, Shengnan Zhao, Hao Wang, Qiuliang Xu |
| 2016 | CEC | Energy consumption prediction for steelmaking production using PSO-based BP neural network. | Yanyan Zhang, Shengnan Zhao, Lixin Tang |
| 2016 | CEC | A differential evolution algorithm with double-mode crossover for supply chain scheduling in cold rolling. | Shengnan Zhao, Yang Yang, Qingxin Guo, Lixin Tang |