Federated Learning in Smart Cities: A Comprehensive Survey. - Zhaohua Zheng; Yize Zhou; Yilong Sun; Zhang Wang; Boyi Liu; Keqiu Li (CoRR, 2021)

A Holistic Client Selection Scheme in Federated Mobile CrowdSensing Based on Reverse Auction. - Zhaohua Zheng; Zhaobin Qin; Deshun Li; Keqiu Li; Guangquan Xu (CSCWD, 2022)

GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings. - Zhaohua Zheng; Jianfang Li 001; Lingjie Zhu; Honghua Li; Frank Petzold; Ping Tan (CVPR, 2022)

A team-based multitask data acquisition scheme under time constraints in mobile crowd sensing. - Zhaohua Zheng; Zhaobin Qin; Keqiu Li; Tie Qiu 001 (Connect. Sci., 2022)

Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges. - Zhaohua Zheng; Yize Zhou; Yilong Sun; Zhang Wang; Boyi Liu; Keqiu Li (Connect. Sci., 2022)

An Incentive Mechanism Based on AoU, Data Quality, and Data Quantity for Federated Learning. - Zhaohua Zheng; Yiming Hong; Keqiu Li; Qiquan Chen (CSCWD, 2024)

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 (CSCWD, 2024)

PrivShieldROS: An Extended Robot Operating System Integrating Ethereum and Interplanetary File System for Enhanced Sensor Data Privacy. - Tianhao Wang; Ke Chen; Zhaohua Zheng; Jiahao Guo; Xiying Zhao; Shenhui Zhang (Sensors, 2024)

ID-SR: Privacy-Preserving Social Recommendation Based on Infinite Divisibility for Trustworthy AI. - Jingyi Cui; Guangquan Xu; Jian Liu 004; Shicheng Feng; Jianli Wang; Hao Peng 002; Shihui Fu; Zhaohua Zheng; James Xi Zheng; Shaoying Liu (ACM Trans. Knowl. Discov. Data, 2024)

A blockchain-based academic degree attestation system. - Wenbing Zhao 001; Izdehar M. Aldyaflah; Zhaohua Zheng; Xiong Luo (Int. J. Parallel Emergent Distributed Syst., 2024)

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 (CSCWD, 2025)

A Contextual Client Selection Method for Volatile Federated Learning. - Zizheng Wang; Zhaohua Zheng; Qiquan Chen (ICCCN, 2025)

Fed-LyAHP: A Client Selection Method for Federated Learning based on Analytic Hierarchy Process and Lyapunov Optimization in Mobile Edge. - Zhaohua Zheng; Junhui Du (ICCCN, 2025)

A multi-dimensional incentive mechanism based on age of update in hierarchical federated learning. - Zhaohua Zheng; Yiming Hong; Xin Xie 001; Keqiu Li; Qiquan Chen (Softw. Pract. Exp., 2025)