Прати
Qingzhi Liu
Qingzhi Liu
Assistant Professor, Wageningen University & Research
Верификована је имејл адреса на wur.nl
Наслов
Навело
Навело
Година
A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems
X Chen, L Cheng, C Liu, Q Liu, J Liu, Y Mao, J Murphy
IEEE Systems Journal 14 (3), 3117-3128, 2020
2702020
BSAS: a Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System
J Li, S Li, L Cheng, Q Liu, J Pei, S Wang
IEEE Transactions on Vehicular Technology 71 (11), 11421-11430, 2022
1152022
Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks
Q Liu, L Cheng, AL Jia, C Liu
IEEE Network, 1-8, 2021
852021
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems
Q Liu, T Xia, L Cheng, MV Eijk, T Ozcelebi, Y Mao
IEEE Transactions on Parallel and Distributed Systems, 1-12, 2021
722021
Safe and Secure Wireless Power Transfer Networks: Challenges and Opportunities in RF-Based Systems
Q Liu, KS Yıldırım, P Pawełczak, M Warnier
IEEE Communication Magazine 54 (9), 74 - 79, 2016
652016
Computer Vision-Based Weight Estimation of Livestock: a Systematic Literature Review
R Dohmen, C Catal, Q Liu
New Zealand Journal of Agricultural Research, 1-21, 2021
592021
Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers
L Cheng, Y Wang, Q Liu, DHJ Epema, C Liu, Y Mao, J Murphy
IEEE Transactions on Parallel and Distributed Systems, 2021
562021
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
Y Mao, Y Fu, S Gu, S Vhaduri, L Cheng, Q Liu
arXiv preprint arXiv:2010.10350, 2020
512020
Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing
Q Liu, L Cheng, T Ozcelebi, J Murphy, J Lukkien
2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2019
442019
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster
Y Mao, Y Fu, W Zheng, L Cheng, Q Liu, D Tao
IEEE Systems Journal, 2021
392021
Cluster-Based Flow Control in Hybrid Software-Defined Wireless Sensor Networks
Q Liu, L Cheng, R Alves, T Ozcelebi, F Kuipers, G Xu, J Lukkien, S Chen
Computer Networks 187, 107788, 2021
372021
Image-Based Body Mass Prediction of Heifers Using Deep Neural Networks
R Dohmen, C Catal, Q Liu
Biosystems Engineering 204, 283-293, 2021
352021
Differentiate Quality of Experience Scheduling for Deep Learning Inferences with Docker Containers in the Cloud
Y Mao, W Yan, Y Song, Y Zeng, M Chen, L Cheng, Q Liu
IEEE Transactions on Cloud Computing, 2022
242022
The Internet of Lights: an Open Reference Architecture and Implementation for Intelligent Solid State Lighting Systems
E Mathews, SS Guclu, Q Liu, T Ozcelebi, JJ Lukkien
Energies 10 (8), 1187, 2017
242017
Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey
L Cheng, Y Gu, Q Liu, L Yang, C Liu, Y Wang
IEEE Transactions on Sustainable Computing, 2024
222024
Green Wireless Power Transfer Networks
Q Liu, M Goliński, P Pawełczak, M Warnier
IEEE Journal on Selected Areas in Communications 34 (5), 1740 - 1756, 2016
222016
Gradient-Based Distance Estimation for Spatial Computers
Q Liu, A Pruteanu, S Dulman
Computer Journal 56 (12), 1469-1499, 2013
162013
Perpetual Bluetooth communications for the IoT
Q Liu, W IJntema, A Drif, P Pawełczak, M Zuniga, KS Yıldırım
IEEE Sensors Journal 21 (1), 829-837, 2020
152020
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems
M Liu, L Cheng, Y Gu, Y Wang, Q Liu, NE O'Connor
IEEE Transactions on Intelligent Transportation Systems, 2021
142021
GDE: a Distributed Gradient-Based Algorithm for Distance Estimation in Large-Scale Networks
Q Liu, A Pruteanu, S Dulman
ACM International Conference on Modeling, Analysis and Simulation of …, 2011
142011
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