| 2026 | CCGRID | FedOort: A Fair and Efficient Optimization Method for Federated Learning. | Zhaohua Zheng, Junhui Du, Xin Xie, Qiquan Chen, Xu Han, Qijun Huang, Jin Zhang |
| 2025 | CSCWD | An Uncertainty-Aware Multi-Dimensional Auction Mechanism Based on Age of Update for Federated Learning. | Huang Yue, Zhaohua Zheng, Yiming Hong, Yunwei Song, Qiquan Chen |
| 2025 | ICCCN | A Contextual Client Selection Method for Volatile Federated Learning. | Zizheng Wang, Zhaohua Zheng, Qiquan Chen |
| 2025 | ICCCN | Fed-LyAHP: A Client Selection Method for Federated Learning based on Analytic Hierarchy Process and Lyapunov Optimization in Mobile Edge. | Zhaohua Zheng, Junhui Du |
| 2024 | CSCWD | An Incentive Mechanism Based on AoU, Data Quality, and Data Quantity for Federated Learning. | Zhaohua Zheng, Yiming Hong, Keqiu Li, Qiquan Chen |
| 2024 | CSCWD | FedAHP: A Heterogeneous Client Selection Method for Federated Learning Based on the Analytic Hierarchy Process in Mobile Edge. | Zhaohua Zheng, Zizheng Wang, Xinyu Tong, Keqiu Li, Qiquan Chen |
| 2022 | CSCWD | A Holistic Client Selection Scheme in Federated Mobile CrowdSensing Based on Reverse Auction. | Zhaohua Zheng, Zhaobin Qin, Deshun Li, Keqiu Li, Guangquan Xu |
| 2022 | CVPR | GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings. | Zhaohua Zheng, Jianfang Li, Lingjie Zhu, Honghua Li, Frank Petzold, Ping Tan |