Efficient Collusion-Tolerable Secure Multiparty Computation of Weighted Average. - Hongwei Duan; Runmeng Du; Qiong Wei; Wenli Wang; Xin Liu (CIS, 2018)

Privacy-preserving mixed set operations. - Wenli Wang; Shundong Li; Jiawei Dou; Runmeng Du (Inf. Sci., 2020)

Feature Engineering Framework based on Secure Multi-Party Computation in Federated Learning. - Litong Sun; Runmeng Du; Daojing He; Shanshan Zhu; Rui Wang; Sammy Chan (HPCC/DSS/SmartCity/DependSys, 2021)

Secure Logistic Regression for Vertical Federated Learning. - Daojing He; Runmeng Du; Shanshan Zhu; Min Zhang 005; Kaitai Liang; Sammy Chan (IEEE Internet Comput., 2022)

Accountable Attribute-Based Data-Sharing Scheme Based on Blockchain for Vehicular Ad Hoc Network. - Zhenzhen Guo; Gaoli Wang; Yingxin Li; Jianqiang Ni; Runmeng Du; Miao Wang (IEEE Internet Things J., 2023)

Toward Secure and Verifiable Hybrid Federated Learning. - Runmeng Du; Xuru Li; Daojing He; Kim-Kwang Raymond Choo (IEEE Trans. Inf. Forensics Secur., 2024)

GSASG: Global Sparsification With Adaptive Aggregated Stochastic Gradients for Communication-Efficient Federated Learning. - Runmeng Du; Daojing He; Zikang Ding; Miao Wang; Sammy Chan; Xuru Li (IEEE Internet Things J., 2024)

Decentralized Multiauthority KP-ABE Scheme Without Bilinear Pairings. - Miao Wang; Zhenfu Cao; Xiaolei Dong; Runmeng Du; Jiasheng Chen (IEEE Internet Things J., 2025)

Privacy-Preserving Short-Term Travel Demand Forecasting Based on Federated Learning. - Runmeng Du; Daojing He; Yan Song 002; Zikang Ding; Sammy Chan; Xuru Li (IEEE Trans. Veh. Technol., 2025)