Lingjun Pu
Lingjun Pu
Associate Professor, Nankai University
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Zitiert von
Zitiert von
D2D fogging: An energy-efficient and incentive-aware task offloading framework via network-assisted D2D collaboration
L Pu, X Chen, J Xu, X Fu
IEEE Journal on Selected Areas in Communications 34 (12), 3887-3901, 2016
Exploiting massive D2D collaboration for energy-efficient mobile edge computing
X Chen, L Pu, L Gao, W Wu, D Wu
IEEE Wireless communications 24 (4), 64-71, 2017
Crowdlet: Optimal Worker Recruitment for Self-Organized Mobile Crowdsourcing
L Pu, X Chen, J Xu, X Fu
IEEE International Conference on Computer Communications (INFOCOM), 2016
Online resource allocation, content placement and request routing for cost-efficient edge caching in cloud radio access networks
L Pu, L Jiao, X Chen, L Wang, Q Xie, J Xu
IEEE Journal on Selected Areas in Communications 36 (8), 1751-1767, 2018
Chimera: An Energy-Efficient and Deadline-Aware Hybrid Edge Computing Framework for Vehicular Crowdsensing Applications
L Pu, X Chen, G Mao, Q Xie, J Xu
IEEE Internet of Things Journal 6 (1), 84-99, 2018
Crowd foraging: a QoS-oriented self-organized mobile crowdsourcing framework over opportunistic networks
L Pu, X Chen, J Xu, X Fu
IEEE Journal on Selected Areas in Communications 35 (4), 848 - 862, 2017
Multiple granularity online control of cloudlet networks for edge computing
L Jiao, L Pu, L Wang, X Lin, J Li
2018 15th Annual IEEE International Conference on Sensing, Communication …, 2018
CEFL: online admission control, data scheduling, and accuracy tuning for cost-efficient federated learning across edge nodes
Z Zhou, S Yang, L Pu, S Yu
IEEE Internet of Things Journal 7 (10), 9341-9356, 2020
Content Retrieval At the Edge: A Social-aware and Named Data Cooperative Framework
L Pu, X Chen, J Xu, X Fu
IEEE Transactions on Emerging Topics in Computing, 2019
SmartVirtCloud: virtual cloud assisted application offloading execution at mobile devices' discretion
L Pu, J Xu, X Jin, J Zhang
2013 IEEE Wireless Communications and Networking Conference (WCNC), 4398-4403, 2013
sNDN: a social-aware named data framework for cooperative content retrieval via D2D communications
L Pu, X Chen, J Xu, X Fu
Proceedings of the 10th International Workshop on Mobility in the Evolving …, 2015
“Smart cafe”: A mobile local computing system based on indoor virtual cloud
L Pu, J Xu, B Yu, J Zhang
China Communications 11 (4), 38-49, 2014
Energy efficient scheduling for IoT applications with offloading, user association and BS sleeping in ultra dense networks
B Yu, L Pu, Q Xie, J Xu
2018 16th International Symposium on Modeling and Optimization in Mobile, Ad …, 2018
An edge computing-based photo crowdsourcing framework for real-time 3D reconstruction
S Yu, X Chen, S Wang, L Pu, D Wu
IEEE Transactions on Mobile Computing, 2020
Measurements study on the i/o performance of virtualized cloud system
L Pu, J Xu, X Jin, Y Wu, J Zhang
2012 IEEE Seventh International Conference on Networking, Architecture, and …, 2012
QoE-aware 3D Video Streaming via Deep Reinforcement Learning in Software Defined Networking Enabled Mobile Edge Computing
P Zhou, Y Xie, B Niu, L Pu, Z Xu, H Jiang, H Huang
IEEE Transactions on Network Science and Engineering, 2020
Dynamic Component Placement and Request Scheduling for IoT Big Data Streaming
Y Zhang, J Yan, L Pu, S Chen
IEEE Internet of Things Journal 7 (8), 7156-7170, 2020
Themis: Efficient and Adaptive Resource Partitioning for Reducing Response Delay in Cloud Gaming
Y Li, H Liu, X Wang, L Pu, T Marbach, S Tang, G Wang, X Liu
Proceedings of the 27th ACM International Conference on Multimedia, 491-499, 2019
U-MEC: Energy-efficient mobile edge computing for IoT applications in ultra dense networks
B Yu, L Pu, Q Xie, J Xu, J Zhang
International Conference on Wireless Algorithms, Systems, and Applications …, 2018
Reinforcement Learning based Resource Partitioning for Improving Responsiveness in Cloud Gaming
Y Li, X Wang, H Liu, L Pu, S Tang, G Wang, X Liu
IEEE Transactions on Computers, 2021
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