Exploiting Network Coding for Data Availability in Vehicular Networks: Issues and Opportunities. - Zhenni Feng; Yanmin Zhu 006; Qian Zhang 001; Min Gao (MSN, 2012)

Community-aware data replication in sparse vehicular networks. - Zhenni Feng; Yanmin Zhu 006; Ruobing Jiang; Bo Li 001 (GLOBECOM, 2013)

iMac: Strategy-Proof Incentive Mechanism for Mobile Crowdsourcing. - Zhenni Feng; Yanmin Zhu 006; Lionel M. Ni (WASA, 2013)

TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing. - Zhenni Feng; Yanmin Zhu 006; Qian Zhang 001; Lionel M. Ni; Athanasios V. Vasilakos (INFOCOM, 2014)

Sensing processes participation game of smartphones in participatory sensing systems. - Yao Sun; Yanmin Zhu 006; Zhenni Feng; Jiadi Yu (SECON, 2014)

A Survey on Trajectory Data Mining: Techniques and Applications. - Zhenni Feng; Yanmin Zhu 006 (IEEE Access, 2016)

Modeling Air Travel Choice Behavior with Mixed Kernel Density Estimations. - Zhenni Feng; Yanmin Zhu 006; Jian Cao 001 (WSDM, 2017)

Optimal Distributed Auction for Mobile Crowd Sensing. - Zhenni Feng; Yanmin Zhu 006; Hui Cai; Pingyi Luo (Comput. J., 2018)

A truthful incentive mechanism for mobile crowd sensing with location-Sensitive weighted tasks. - Hui Cai; Yanmin Zhu 006; Zhenni Feng (Comput. Networks, 2018)

Truthful incentive mechanisms for mobile crowd sensing with dynamic smartphones. - Hui Cai; Yanmin Zhu 006; Zhenni Feng; Hongzi Zhu; Jiadi Yu; Jian Cao 001 (Comput. Networks, 2018)

Reliable and Secure Data Sharing in Decentralized Mobile Crowd Systems. - Zhenni Feng; Junchang Chen; Fanbo Xu (ACM TUR-C, 2021)

Estimation of Load Factors of Trains Using Multi-source data for Complex Metro Systems. - Hexiang Wu; Tong Liu 001; Chengfan Li; Weiqin Tong; Zhenni Feng; Shimin Zhao (BigCom, 2021)

An Online Truthful Auction for IoT Data Trading with Dynamic Data Owners. - Zhenni Feng; Junchang Chen; Tong Liu 001 (CollaborateCom (1), 2021)

Joint Location-Value Privacy Protection for Spatiotemporal Data Collection via Mobile Crowdsensing. - Tong Liu 001; Dan Li; Chenhong Cao; Honghao Gao; Chengfan Li; Zhenni Feng (CollaborateCom (2), 2021)

Uncovering Value of Correlated Data: Trading Data based on Iterative Combinatorial Auction. - Zhenni Feng; Junchang Chen; Yanmin Zhu 006 (MASS, 2021)

Blockchain based Mobile Crowd Sensing for Reliable Data Sharing in IoT Systems. - Zhenni Feng; Junchang Chen (Networking, 2021)

Data-Driven Digital Advertising with Uncertain Demand Model in Metro Networks. - Ruobing Jiang; Zhenni Feng; Desheng Zhang; Shuai Wang 008; Yanmin Zhu 006; Fan Zhang 019; Tian He 001 (IEEE Trans. Big Data, 2021)

Understanding News Background Information Seeking from Readers' Perspective. - Zhenni Feng; Xianghua Ding; Yanqi Jiang; Yiying Wu; Peng Zhang 060 (CSCWD, 2022)

Truthful Auction Mechanism for Data Trading with Share-Averse Data Consumers. - Zhenni Feng; Qiyuan Wang; Yanmin Zhu 006 (MSN, 2022)

How to Sell Crowdsensed Data to Share-Averse Data Consumers: A Reinforcement Learning Approach. - Gengjian Liao; Qiyuan Wang; Zhenni Feng; Ruobing Jiang (ACM TUR-C, 2023)

The Practice of Artificial Intelligence Education for Non-computer Science Majors in Universities. - Feng Yin; Xiaoqiang Liu; Ming Du; Hui Song; Bo Xu 023; Zhenni Feng (ICCSE (2), 2023)

Towards personalized privacy preference aware data trading: A contract theory based approach. - Zhenni Feng; Sijia Yu; Yanmin Zhu 006 (Comput. Networks, 2023)

Balanced Federated Learning with Two-Stage Client Selection for Internet of Vehicles. - Lin Xu; Zhenni Feng (NPC (2), 2024)

Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting. - Ang Guo; Yanghe Liu; Shiyu Shao; Xiaowei Shi; Zhenni Feng (IEEE Access, 2025)

Personalized federated learning through self-knowledge distillation in vehicular edge computing. - Gengjian Liao; Yulin Yang; Zhenni Feng (Comput. Networks, 2025)