Spremljaj
Haiming Jin
Haiming Jin
Preverjeni e-poštni naslov na sjtu.edu.cn - Domača stran
Naslov
Navedeno
Navedeno
Leto
Quality of information aware incentive mechanisms for mobile crowd sensing systems
H Jin, L Su, D Chen, K Nahrstedt, J Xu
Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc …, 2015
2992015
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
H Zhang, S Feng, C Liu, Y Ding, Y Zhu, Z Zhou, W Zhang, Y Yu, H Jin, Z Li
The World Wide Web Conference, 3620-3624, 2019
2622019
Inception: Incentivizing privacy-preserving data aggregation for mobile crowd sensing systems
H Jin, L Su, H Xiao, K Nahrstedt
Proceedings of the 17th international symposium on mobile Ad Hoc networking …, 2016
1992016
Enabling privacy-preserving incentives for mobile crowd sensing systems
H Jin, L Su, B Ding, K Nahrstedt, N Borisov
2016 IEEE 36th International Conference on Distributed Computing Systems …, 2016
1522016
Incentive mechanism for privacy-aware data aggregation in mobile crowd sensing systems
H Jin, L Su, H Xiao, K Nahrstedt
IEEE/ACM Transactions on Networking 26 (5), 2019-2032, 2018
1512018
Learning-aided computation offloading for trusted collaborative mobile edge computing
Y Li, X Wang, X Gan, H Jin, L Fu, X Wang
IEEE Transactions on Mobile Computing 19 (12), 2833-2849, 2019
1392019
Centurion: Incentivizing multi-requester mobile crowd sensing
H Jin, L Su, K Nahrstedt
INFOCOM 2017-IEEE Conference on Computer Communications, IEEE, 1-9, 2017
1192017
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
B Lu, X Gan, H Jin, L Fu, H Zhang
Proceedings of the 29th ACM International Conference on Information …, 2020
982020
Theseus: Incentivizing truth discovery in mobile crowd sensing systems
H Jin, L Su, K Nahrstedt
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc …, 2017
912017
MIRAS: Model-based Reinforcement Learning for Microservice Resource Allocation over Scientific Workflows
Z Yang, P Nguyen, H Jin, K Nahrstedt
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
772019
Thanos: Incentive mechanism with quality awareness for mobile crowd sensing
H Jin, L Su, D Chen, H Guo, K Nahrstedt, J Xu
IEEE Transactions on Mobile Computing 18 (8), 1951-1964, 2018
752018
Fast-Charging Station Deployment Considering Elastic Demand
X Gan, H Zhang, G Hang, Z Qin, H Jin
IEEE Transactions on Transportation Electrification 6 (1), 158-169, 2020
702020
WritingHacker: audio based eavesdropping of handwriting via mobile devices
T Yu, H Jin, K Nahrstedt
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
692016
Joint charging and relocation recommendation for e-taxi drivers via multi-agent mean field hierarchical reinforcement learning
E Wang, R Ding, Z Yang, H Jin, C Miao, L Su, F Zhang, C Qiao, X Wang
IEEE Transactions on Mobile Computing 21 (4), 1274-1290, 2020
442020
Double Insurance: Incentivized Federated Learning with Differential Privacy in Mobile Crowdsensing
C Ying, H Jin, X Wang, Y Luo
2020 International Symposium on Reliable Distributed Systems (SRDS), 81-90, 2020
372020
Joint scheduling and incentive mechanism for spatio-temporal vehicular crowd sensing
G Fan, H Jin, Q Liu, W Qin, X Gan, H Long, L Fu, X Wang
IEEE Transactions on Mobile Computing 20 (4), 1449-1464, 2019
362019
Dynamic Task Pricing in Multi-Requester Mobile Crowd Sensing with Markov Correlated Equilibrium
H Jin, H Guo, L Su, K Nahrstedt, X Wang
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1063-1071, 2019
362019
STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction
J Ou, J Sun, Y Zhu, H Jin, Y Liu, F Zhang, J Huang, X Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
352020
Data acquisition for real-time decision-making under freshness constraints
S Hu, S Yao, H Jin, Y Zhao, Y Hu, X Liu, N Naghibolhosseini, S Li, ...
2015 IEEE Real-Time Systems Symposium, 185-194, 2015
342015
Data-Driven Pricing for Sensing Effort Elicitation in Mobile Crowd Sensing Systems
H Jin, B He, L Su, K Nahrstedt, X Wang
IEEE/ACM Transactions on Networking 27 (6), 2208-2221, 2019
332019
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