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Zhenzhe Zheng
Zhenzhe Zheng
Associate Professor, Department of Computer Science and Engineering, Shanghai Jiao Tong University
Verified email at sjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
A budget feasible incentive mechanism for weighted coverage maximization in mobile crowdsensing
Z Zheng, F Wu, X Gao, H Zhu, S Tang, G Chen
IEEE Transactions on Mobile Computing 16 (9), 2392-2407, 2016
1312016
Context-aware data quality estimation in mobile crowdsensing
S Liu, Z Zheng, F Wu, S Tang, G Chen
IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017
962017
Trading Data in the Crowd: Profit-Driven Data Acquisition for Mobile Crowdsensing
Z Zheng, Y Peng, F Wu, S Tang, G Chen
IEEE Journal on Selected Areas in Communications 35 (2), 486-501, 2017
892017
Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data
C Niu, Z Zheng, F Wu, S Tang, X Gao, G Chen
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
882018
An Online Pricing Mechanism for Mobile Crowdsensing Data Markets
Z Zheng, Y Peng, F Wu, S Tang, G Chen
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc …, 2017
732017
Towards Personalized Task Matching in Mobile Crowdsensing via Fine-Grained User Profiling
S Yang, K Han, Z Zheng, S Tang, F Wu
INFOCOM, 2018
702018
Achieving data truthfulness and privacy preservation in data markets
C Niu, Z Zheng, F Wu, X Gao, G Chen
IEEE Transactions on Knowledge and Data Engineering 31 (1), 105-119, 2018
582018
STAR: strategy-proof double auctions for multi-cloud, multi-tenant bandwidth reservation
Z Zheng, Y Gui, F Wu, G Chen
IEEE Transactions on Computers 64 (7), 2071-2083, 2014
582014
Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy
C Niu, Z Zheng, S Tang, X Gao, F Wu
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 568-576, 2019
552019
Trading data in good faith: Integrating truthfulness and privacy preservation in data markets
C Niu, Z Zheng, F Wu, X Gao, G Chen
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 223-226, 2017
542017
Neural auction: End-to-end learning of auction mechanisms for e-commerce advertising
X Liu, C Yu, Z Zhang, Z Zheng, Y Rong, H Lv, D Huo, Y Wang, D Chen, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
532021
Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing
F Wu, S Yang, Z Zheng, S Tang, G Chen
IEEE Transactions on Mobile Computing 20 (10), 2961-2976, 2020
492020
Online pricing with reserve price constraint for personal data markets
C Niu, Z Zheng, F Wu, S Tang, G Chen
IEEE Transactions on Knowledge and Data Engineering 34 (4), 1928-1943, 2020
472020
Pricing for revenue maximization in iot data markets: An information design perspective
W Mao, Z Zheng, F Wu
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1837-1845, 2019
462019
Toward understanding the influence of individual clients in federated learning
Y Xue, C Niu, Z Zheng, S Tang, C Lyu, F Wu, G Chen
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10560 …, 2021
442021
A Strategy-Proof Combinatorial Heterogeneous Channel Auction Framework in Noncooperative Wireless Networks
Z Zheng, F Wu, G Chen
Mobile Computing, IEEE Transactions on 14 (6), 1123-1137, 2015
432015
Federated optimization under intermittent client availability
Y Yan, C Niu, Y Ding, Z Zheng, S Tang, Q Li, F Wu, C Lyu, Y Feng, ...
INFORMS Journal on Computing 36 (1), 185-202, 2024
402024
Data-Free Evaluation of User Contributions in Federated Learning
H Lv, Z Zheng, T Luo, F Wu, S Tang, L Hua, R Jia, C Lv
2021 19th International Symposium on Modeling and Optimization in Mobile, Ad …, 2021
312021
Arete: On designing joint online pricing and reward sharing mechanisms for mobile data markets
Z Zheng, Y Peng, F Wu, S Tang, G Chen
IEEE Transactions on Mobile Computing 19 (4), 769-787, 2019
302019
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
X Hao, Z Peng, Y Ma, G Wang, J Jin, J Hao, S Chen, R Bai, M Xie, M Xu, ...
International Conference on Machine Learning, 4060-4070, 2020
292020
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