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 | 131 | 2016 |
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 | 96 | 2017 |
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 | 89 | 2017 |
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 | 88 | 2018 |
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 | 73 | 2017 |
Towards Personalized Task Matching in Mobile Crowdsensing via Fine-Grained User Profiling S Yang, K Han, Z Zheng, S Tang, F Wu INFOCOM, 2018 | 70 | 2018 |
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 | 58 | 2018 |
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 | 58 | 2014 |
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 | 55 | 2019 |
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 | 54 | 2017 |
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 | 53 | 2021 |
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 | 49 | 2020 |
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 | 47 | 2020 |
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 | 46 | 2019 |
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 | 44 | 2021 |
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 | 43 | 2015 |
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 | 40 | 2024 |
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 | 31 | 2021 |
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 | 30 | 2019 |
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 | 29 | 2020 |