Towards secure and practical targeted mobile advertising. - Jinghua Jiang; Zhenkui Shi; Xingliang Yuan; Cong Wang 001; Xiaolin Gui (INFOCOM Workshops, 2015)

Towards Secure and Accurate Targeted Mobile Coupon Delivery. - Jinghua Jiang; Yifeng Zheng; Xingliang Yuan; Zhenkui Shi; Xiaolin Gui; Cong Wang 001; Jing Yao (IEEE Access, 2016)

Towards privacy-preserving user targeting. - Jinghua Jiang; Yifeng Zheng; Zhenkui Shi; Jing Yao; Cong Wang 001; Xiaolin Gui (J. Commun. Inf. Networks, 2016)

Enabling Privacy-assured Mobile Advertisement Targeting and Dissemination. - Zhenkui Shi; Xiaoning Liu 002; Xingliang Yuan (SCC@AsiaCCS, 2017)

Privacy-Assured Large-Scale Navigation from Encrypted Approximate Shortest Path Recommendation. - Zhenkui Shi (MSN, 2017)

GCBlock: A Grouping and Coding Based Storage Scheme for Blockchain System. - Bin Qu; Li-e Wang 001; Peng Liu 044; Zhenkui Shi; Xianxian Li (IEEE Access, 2020)

Top-k closed co-occurrence patterns mining with differential privacy over multiple streams. - Jinyan Wang; Shijian Fang; Chen Liu; Jiawen Qin; Xianxian Li; Zhenkui Shi (Future Gener. Comput. Syst., 2020)

A Practical System for Privacy-Aware Targeted Mobile Advertising Services. - Jinghua Jiang; Yifeng Zheng; Zhenkui Shi; Xingliang Yuan; Xiaolin Gui; Cong Wang 001 (IEEE Trans. Serv. Comput., 2020)

A Private Statistic Query Scheme for Encrypted Electronic Medical Record System. - Xianxian Li; Xuemei Fu; Feng Yu 006; Zhenkui Shi; Jie Li; Junhao Yang (CSCWD, 2021)

Achieving Fair and Accountable Data Trading Scheme for Educational Multimedia Data Based on Blockchain. - Xianxian Li; Jiahui Peng; Zhenkui Shi; Chunpei Li (QSHINE, 2021)

DBS: Blockchain-Based Privacy-Preserving RBAC in IoT. - Xianxian Li; Junhao Yang; Shiqi Gao; Zhenkui Shi; Jie Li; Xuemei Fu (QSHINE, 2021)

An Efficient and Accurate Encrypted Image Retrieval Scheme via Ball Tree. - Xianxian Li; Jie Lei; Zhenkui Shi; Feng Yu 006 (BigCom, 2022)

ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption. - Zhenkui Shi; Xuemei Fu; Xianxian Li; Kai Zhu 009 (IEEE Trans. Knowl. Data Eng., 2022)

FedEF: Federated Learning for Heterogeneous and Class Imbalance Data. - Hongyan Peng; Tongtong Wu; Zhenkui Shi; Xianxian Li (ISCC, 2023)

Personalized federated learning based on feature fusion. - Wolong Xing; Zhenkui Shi; Hongyan Peng; Xiantao Hu; Yaozong Zheng; Xianxian Li (CSCWD, 2024)

Personalized federated learning based on feature fusion. - Wolong Xing; Zhenkui Shi; Hongyan Peng; Xiantao Hu; Xianxian Li (CoRR, 2024)

Achieving fair and accountable data trading for educational multimedia data based on blockchain. - Xianxian Li; Jiahui Peng; Shiqi Gao; Zhenkui Shi; Chunpei Li (Wirel. Networks, 2024)

A fair and verifiable federated learning profit-sharing scheme. - Xianxian Li; Mei Huang; Shiqi Gao; Zhenkui Shi (Wirel. Networks, 2024)

A reputation-based and privacy-preserving incentive scheme for mobile crowd sensing: a deep reinforcement learning approach. - Jialin Zhang; Xianxian Li; Zhenkui Shi; Cong Zhu (Wirel. Networks, 2024)

An Adaptive Weighting Approach to Enhance the Efficiency and Robustness of Federated Learning. - Zhenkui Shi; Zhile Cao; Xiangyu Pan; Jiahao Zeng; Feng Yu 006 (CSCWD, 2025)

Personalized Federated Learning with Dual Collaborative Information for Data Heterogeneity. - Jialin Wang; Zhenkui Shi; Xiangyu Pan; Jiahao Zeng (CSCWD, 2025)

A Code Generation Watermarking Method Based on Double Threshold. - Yunsong He; Zhenkui Shi; Jiahao Zeng; Zhile Cao; Jinxing Chen; Xin Hu (ICIC (18), 2025)