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Jing Wang
Jing Wang
Syracuse University
Verified email at syr.edu
Title
Cited by
Cited by
Year
Spatiotemporal Modeling and Prediction in Cellular Networks: A Big Data Enabled Deep Learning Approach
J Wang, J Tang, Z Xu, Y Wang, G Xue, X Zhang, D Yang
IEEE InfoCom, 2017
4592017
A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs
Z Xu, Y Wang, J Tang, J Wang, MC Gursoy
Communications (ICC), 2017 IEEE International Conference on, 2017
3202017
Quality-aware and Fine-grained Incentive Mechanisms for Mobile Crowdsensing
J Wang, J Tang, D Yang, E Wang, G Xue
ICDCS, 2016
1192016
Towards energy-efficient task scheduling on smartphones in mobile crowd sensing systems
J Wang, J Tang, G Xue, D Yang
Computer Networks 115, 100-109, 2017
682017
ReCARL: Resource allocation in cloud RANs with deep reinforcement learning
Z Xu, J Tang, C Yin, Y Wang, G Xue, J Wang, MC Gursoy
IEEE Transactions on Mobile Computing 21 (7), 2533-2545, 2020
182020
Enabling radio-as-a-service with truthful auction mechanisms
J Wang, D Yang, J Tang, MC Gursoy
IEEE Transactions on Wireless Communications 16 (4), 2340-2349, 2017
132017
Enabling Green Mobile Crowd Sensing via Optimized Task Scheduling on Smartphones
J Wang, J Tang, X Sheng, G Xue, D Yang
2015 IEEE Global Communications Conference (GLOBECOM), 7, 2015
82015
Radio-as-a-Service: Auction-based model and mechanisms
J Wang, D Yang, J Tang, MC Gursoy
2015 IEEE International Conference on Communications (ICC), 2015
82015
SOR: An Objective Ranking System Based on Mobile Phone Sensing
X Sheng, J Tang, J Wang, C Gao, G Xue
Distributed Computing Systems (ICDCS), 2014 IEEE, 2014
42014
LIPS: Lifestyle learning via mobile phone sensing
X Sheng, J Tang, J Wang, T Li, G Xue, D Yang
2016 IEEE Global Communications Conference (GLOBECOM), 1-7, 2016
32016
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Articles 1–10