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Zhenni Feng
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2020 – today
- 2023
- [j6]Zhenni Feng, Sijia Yu, Yanmin Zhu:
Towards personalized privacy preference aware data trading: A contract theory based approach. Comput. Networks 224: 109637 (2023) - [c16]Gengjian Liao, Qiyuan Wang, Zhenni Feng, Ruobing Jiang:
How to Sell Crowdsensed Data to Share-Averse Data Consumers: A Reinforcement Learning Approach. ACM TUR-C 2023: 104-105 - [c15]Feng Yin, Xiaoqiang Liu, Ming Du, Hui Song, Bo Xu, Zhenni Feng:
The Practice of Artificial Intelligence Education for Non-computer Science Majors in Universities. ICCSE (2) 2023: 113-120 - 2022
- [c14]Zhenni Feng, Xianghua Ding, Yanqi Jiang, Yiying Wu, Peng Zhang:
Understanding News Background Information Seeking from Readers' Perspective. CSCWD 2022: 1263-1268 - [c13]Zhenni Feng, Qiyuan Wang, Yanmin Zhu:
Truthful Auction Mechanism for Data Trading with Share-Averse Data Consumers. MSN 2022: 427-434 - 2021
- [j5]Ruobing Jiang, Zhenni Feng, Desheng Zhang, Shuai Wang, Yanmin Zhu, Fan Zhang, Tian He:
Data-Driven Digital Advertising with Uncertain Demand Model in Metro Networks. IEEE Trans. Big Data 7(2): 313-326 (2021) - [c12]Zhenni Feng, Junchang Chen, Fanbo Xu:
Reliable and Secure Data Sharing in Decentralized Mobile Crowd Systems. ACM TUR-C 2021: 15-22 - [c11]Hexiang Wu, Tong Liu, Chengfan Li, Weiqin Tong, Zhenni Feng, Shimin Zhao:
Estimation of Load Factors of Trains Using Multi-source data for Complex Metro Systems. BigCom 2021: 172-179 - [c10]Tong Liu, Dan Li, Chenhong Cao, Honghao Gao, Chengfan Li, Zhenni Feng:
Joint Location-Value Privacy Protection for Spatiotemporal Data Collection via Mobile Crowdsensing. CollaborateCom (2) 2021: 87-103 - [c9]Zhenni Feng, Junchang Chen, Tong Liu:
An Online Truthful Auction for IoT Data Trading with Dynamic Data Owners. CollaborateCom (1) 2021: 554-571 - [c8]Zhenni Feng, Junchang Chen, Yanmin Zhu:
Uncovering Value of Correlated Data: Trading Data based on Iterative Combinatorial Auction. MASS 2021: 260-268 - [c7]Zhenni Feng, Junchang Chen:
Blockchain based Mobile Crowd Sensing for Reliable Data Sharing in IoT Systems. Networking 2021: 1-3
2010 – 2019
- 2018
- [j4]Zhenni Feng, Yanmin Zhu, Hui Cai, Pingyi Luo:
Optimal Distributed Auction for Mobile Crowd Sensing. Comput. J. 61(10): 1443-1459 (2018) - [j3]Hui Cai, Yanmin Zhu, Zhenni Feng:
A truthful incentive mechanism for mobile crowd sensing with location-Sensitive weighted tasks. Comput. Networks 132: 1-14 (2018) - [j2]Hui Cai, Yanmin Zhu, Zhenni Feng, Hongzi Zhu, Jiadi Yu, Jian Cao:
Truthful incentive mechanisms for mobile crowd sensing with dynamic smartphones. Comput. Networks 141: 1-16 (2018) - 2017
- [c6]Zhenni Feng, Yanmin Zhu, Jian Cao:
Modeling Air Travel Choice Behavior with Mixed Kernel Density Estimations. WSDM 2017: 611-620 - 2016
- [j1]Zhenni Feng, Yanmin Zhu:
A Survey on Trajectory Data Mining: Techniques and Applications. IEEE Access 4: 2056-2067 (2016) - 2014
- [c5]Zhenni Feng, Yanmin Zhu, Qian Zhang, Lionel M. Ni, Athanasios V. Vasilakos:
TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing. INFOCOM 2014: 1231-1239 - [c4]Yao Sun, Yanmin Zhu, Zhenni Feng, Jiadi Yu:
Sensing processes participation game of smartphones in participatory sensing systems. SECON 2014: 239-247 - 2013
- [c3]Zhenni Feng, Yanmin Zhu, Ruobing Jiang, Bo Li:
Community-aware data replication in sparse vehicular networks. GLOBECOM 2013: 593-598 - [c2]Zhenni Feng, Yanmin Zhu, Lionel M. Ni:
iMac: Strategy-Proof Incentive Mechanism for Mobile Crowdsourcing. WASA 2013: 337-350 - 2012
- [c1]Zhenni Feng, Yanmin Zhu, Qian Zhang, Min Gao:
Exploiting Network Coding for Data Availability in Vehicular Networks: Issues and Opportunities. MSN 2012: 24-30
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