Qingzhi Liu

According to our database, Qingzhi Liu authored at least 46 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain.

Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng

ACM Trans. Multim. Comput. Commun. Appl., June, 2024

Guest Editorial of the Special Section on Intelligent Computing for Big Data in Consumer Internet of Things.

Long Cheng, Qingzhi Liu, Lei Yang, John Murphy

IEEE Trans. Consumer Electron., May, 2024

CASA: cost-effective EV charging scheduling based on deep reinforcement learning.

Ao Zhang, Qingzhi Liu, Jinwei Liu, Long Cheng

Neural Comput. Appl., May, 2024

Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey.

Long Cheng, Yan Gu, Qingzhi Liu, Lei Yang, Cheng Liu, Ying Wang

IEEE Trans. Sustain. Comput., 2024

Explainable and Effective Process Remaining Time Prediction Using Feature-Informed Cascade Prediction Model.

Na Guo, Cong Liu, Caihong Li, Qingtian Zeng, Chun Ouyang, Qingzhi Liu, Xixi Lu

IEEE Trans. Serv. Comput., 2024

Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease.

Yali Bai, Chenwei Nie, Xun Yu, Mingyue Gou, Shuaibing Liu, Yanqin Zhu, Tiantian Jiang, Xiao Jia, Yadong Liu, Fei Nan, Liming Li, Bedir Tekinerdogan, Yang Song, Qingzhi Liu, Xiuliang Jin

Comput. Electron. Agric., 2024

MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection.

Long Cheng, Haoyang He, Yan Gu, Qingzhi Liu, Zhiming Zhao, Fang Fang

Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

2023

Boosting the prediction accuracy of a process-based greenhouse climate-tomato production model by particle filtering and deep learning.

Xiaohan Zhou, Qingzhi Liu, David Katzin, Tian Qian, Ep Heuvelink, Leo F. M. Marcelis

Comput. Electron. Agric., August, 2023

Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud.

Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu

IEEE Trans. Cloud Comput., 2023

Deep-Learning-Based Rice Phenological Stage Recognition.

Jiale Qin, Tianci Hu, Jianghao Yuan, Qingzhi Liu, Wensheng Wang, Jie Liu, Leifeng Guo, Guozhu Song

Remote. Sens., 2023

A similarity-enhanced hybrid group recommendation approach in cloud manufacturing systems.

Jian Liu, Youling Chen, Qingzhi Liu, Bedir Tekinerdogan

Comput. Ind. Eng., 2023

Securing the Internet of Things Network using a Hierarchical Hyperledger Fabric Model.

Mohammed Ahmad Abuhaliqa, Cagatay Catal, Qingzhi Liu

Proceedings of the IEEE International Conference on Metaverse Computing, 2023

2022

BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System.

Jianbin Li, Shike Li, Long Cheng, Qingzhi Liu, Jiaming Pei, Shen Wang

IEEE Trans. Veh. Technol., 2022

Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems.

Qingzhi Liu, Tiancong Xia, Long Cheng, Merijn van Eijk, Tanir Ozcelebi, Ying Mao

IEEE Trans. Parallel Distributed Syst., 2022

MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems.

Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor

IEEE Trans. Intell. Transp. Syst., 2022

Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.

Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao

IEEE Syst. J., 2022

UWB LOS/NLOS identification in multiple indoor environments using deep learning methods.

Qingzhi Liu, Zhendong Yin, Yanlong Zhao, Zhilu Wu, Mingyang Wu

Phys. Commun., 2022

Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers.

Yuqi Fu, Naseem Machlovi, Ying Mao, Jiayin Wang, Long Cheng, Qingzhi Liu

Proceedings of the IEEE International Performance, 2022

LSTM Network-based SNR Estimator for DS-UWB Wireless Sensor Network.

Qingzhi Liu, Zhendong Yin, Mingyang Wu, Zhilu Wu, Zhijiang Xu

Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021

Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers.

Long Cheng, Ying Wang, Qingzhi Liu, Dick H. J. Epema, Cheng Liu, Ying Mao, John Murphy

IEEE Trans. Parallel Distributed Syst., 2021

Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks.

Qingzhi Liu, Long Cheng, Adele Lu Jia, Cong Liu

IEEE Netw., 2021

A change domain-based model repair method via Petri nets.

Lei Yu, Qingzhi Liu, Rong Hua, You Fu

Trans. Emerg. Telecommun. Technol., 2021

Cluster-based flow control in hybrid software-defined wireless sensor networks.

Qingzhi Liu, Long Cheng, Renan C. A. Alves, Tanir Ozcelebi, Fernando A. Kuipers, Guixian Xu, Johan Lukkien, Shanzhi Chen

Comput. Networks, 2021

2020

A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems.

Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy

IEEE Syst. J., 2020

Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud.

Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu

CoRR, 2020

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes.

Ying Mao, Yuqi Fu, Suwen Gu, Sudip Vhaduri, Long Cheng, Qingzhi Liu

CoRR, 2020

cRisk Analysis of Cash on Delivery Payment Method by Social Network Analysis and Fuzzy Petri Net.

Lei Yu, Qingzhi Liu, Rong Hua, You Fu

IEEE Access, 2020

Network-Based Matching of Patients and Targeted Therapies for Precision Oncology.

Qingzhi Liu, Min Jin Ha, Rupam Bhattacharyya, Lana X. Garmire, Veerabhadran Baladandayuthapani

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

A Novel Multiuser UWB Ranging Scheme in NLOS Indoor Environment.

Qingzhi Liu, Zhilu Wu, Zhendong Yin, Mingyang Wu, Bo Ma

Proceedings of the 27th International Conference on Telecommunications, 2020

2019

Load-balancing distributed outer joins through operator decomposition.

Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang

J. Parallel Distributed Comput., 2019

BEH: Indoor Batteryless BLE Beacons using RF Energy Harvesting for Internet of Things.

Qingzhi Liu, Wieger IJntema, Anass Drif, Przemyslaw Pawelczak, Marco Zuniga

CoRR, 2019

CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks.

Qingzhi Liu, Tanir Ozcelebi, Long Cheng, Fernando A. Kuipers, Johan Lukkien

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Learning Process Models in IoT Edge.

Long Cheng, Cong Liu, Qingzhi Liu, Yucong Duan, John Murphy

Proceedings of the 2019 IEEE World Congress on Services, 2019

Performance Evaluation of Thread Protocol based Wireless Mesh Networks for Lighting Systems.

Srikanth Sistu, Qingzhi Liu, Tanir Ozcelebi, Esko Dijk, Teresa Zotti

Proceedings of the 2019 International Symposium on Networks, Computers and Communications, 2019

PCANN: Distributed ANN Architecture for Image Recognition in Resource-Constrained IoT Devices.

Tianyu Bi, Qingzhi Liu, Tanir Ozcelebi, Dmitri Jarnikov, Dragan Sekulovski

Proceedings of the 15th International Conference on Intelligent Environments, 2019

Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing.

Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018

Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling.

Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos

Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017

The Ontology of Biological and Clinical Statistics (OBCS)-based statistical method standardization and meta-analysis of host responses to yellow fever vaccines.

Jie Zheng, Huan Li, Qingzhi Liu, Yongqun He

Quant. Biol., 2017

WiPLoc: Perpetual Indoor Localization with RF Wireless Power Transfer.

Qingzhi Liu, Wieger IJntema, Anass Drif, Przemyslaw Pawelczak, Marco Zuniga

CoRR, 2017

2016

Green Wireless Power Transfer Networks.

Qingzhi Liu, Michal Golinski, Przemyslaw Pawelczak, Martijn Warnier

IEEE J. Sel. Areas Commun., 2016

Safe and secure wireless power transfer networks: challenges and opportunities in RF-based systems.

Qingzhi Liu, Kasim Sinan Yildirim, Przemyslaw Pawelczak, Martijn Warnier

IEEE Commun. Mag., 2016

BLISP: Enhancing backscatter radio with active radio for computational RFIDs.

Ivar in 't Veen, Qingzhi Liu, Przemyslaw Pawelczak, Aaron N. Parks, Joshua R. Smith

Proceedings of the 2016 IEEE International Conference on RFID, 2016

2014

Request driven social sensing.

Thomas Christopher King, Qingzhi Liu, Gleb Polevoy, Mathijs de Weerdt, Virginia Dignum, M. Birna van Riemsdijk, Martijn Warnier

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Gradient-Based Distance Estimation for Spatial Computers.

Qingzhi Liu, Andrei Pruteanu, Stefan Dulman

Comput. J., 2013

Adaptive Online Estimation of Temporal Connectivity in Dynamic Wireless Networks.

Venkat Iyer, Qingzhi Liu, Stefan Dulman, Koen Langendoen

Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2013

2011

GDE: a distributed gradient-based algorithm for distance estimation in large-scale networks.

Qingzhi Liu, Andrei Pruteanu, Stefan Dulman

Proceedings of the 14th International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2011