Articles with public access mandates - Jing WangLearn more
Not available anywhere: 1
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
Mandates: US National Science Foundation
Available somewhere: 6
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
Mandates: US National Science Foundation, National Natural Science Foundation of China
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
Mandates: US National Science Foundation
Quality-aware and Fine-grained Incentive Mechanisms for Mobile Crowdsensing
J Wang, J Tang, D Yang, E Wang, G Xue
ICDCS, 2016
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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