Qingzhi Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 43

Top Topics

Advisory Systems

Wireless Sensor Networks

Indoor Localization

Top Venues

Comput. Electron. Agric.

IEEE Trans. Parallel Distributed Syst.

Publications

Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng
Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain. ACM Trans. Multim. Comput. Commun. Appl. 20 (6) (2024)
Na Guo, Cong Liu, Caihong Li, Qingtian Zeng, Chun Ouyang, Qingzhi Liu, Xixi Lu
Explainable and Effective Process Remaining Time Prediction Using Feature-Informed Cascade Prediction Model. IEEE Trans. Serv. Comput. 17 (3) (2024)
Ao Zhang, Qingzhi Liu, Jinwei Liu, Long Cheng
CASA: cost-effective EV charging scheduling based on deep reinforcement learning. Neural Comput. Appl. 36 (15) (2024)
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
Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease. Comput. Electron. Agric. 225 (2024)
Xiaohan Zhou, Qingzhi Liu, David Katzin, Tian Qian, Ep Heuvelink, Leo F. M. Marcelis
Boosting the prediction accuracy of a process-based greenhouse climate-tomato production model by particle filtering and deep learning. Comput. Electron. Agric. 211 (2023)
Jian Liu, Youling Chen, Qingzhi Liu, Bedir Tekinerdogan
A similarity-enhanced hybrid group recommendation approach in cloud manufacturing systems. Comput. Ind. Eng. 178 (2023)
Jiale Qin, Tianci Hu, Jianghao Yuan, Qingzhi Liu, Wensheng Wang, Jie Liu, Leifeng Guo, Guozhu Song
Deep-Learning-Based Rice Phenological Stage Recognition. Remote. Sens. 15 (11) (2023)
Mohammed Ahmad Abuhaliqa, Cagatay Catal, Qingzhi Liu
Securing the Internet of Things Network using a Hierarchical Hyperledger Fabric Model. MetaCom (2023)
Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu
Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud. IEEE Trans. Cloud Comput. 11 (2) (2023)
Qingzhi Liu, Zhendong Yin, Yanlong Zhao, Zhilu Wu, Mingyang Wu
UWB LOS/NLOS identification in multiple indoor environments using deep learning methods. Phys. Commun. 52 (2022)
Qingzhi Liu, Tiancong Xia, Long Cheng, Merijn van Eijk, Tanir Ozcelebi, Ying Mao
Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems. IEEE Trans. Parallel Distributed Syst. 33 (6) (2022)
Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. IEEE Syst. J. 16 (3) (2022)
Yuqi Fu, Naseem Machlovi, Ying Mao, Jiayin Wang, Long Cheng, Qingzhi Liu
Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers. IPCCC (2022)
Jianbin Li, Shike Li, Long Cheng, Qingzhi Liu, Jiaming Pei, Shen Wang
BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System. IEEE Trans. Veh. Technol. 71 (11) (2022)
Qingzhi Liu, Zhendong Yin, Mingyang Wu, Zhilu Wu, Zhijiang Xu
LSTM Network-based SNR Estimator for DS-UWB Wireless Sensor Network. DSA (2022)
Lei Yu, Qingzhi Liu, Rong Hua, You Fu
A change domain-based model repair method via Petri nets. Trans. Emerg. Telecommun. Technol. 32 (1) (2021)
Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems. CoRR (2021)
Qingzhi Liu, Long Cheng, Adele Lu Jia, Cong Liu
Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. IEEE Netw. 35 (2) (2021)
Long Cheng, Ying Wang, Qingzhi Liu, Dick H. J. Epema, Cheng Liu, Ying Mao, John Murphy
Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers. IEEE Trans. Parallel Distributed Syst. 32 (6) (2021)
Qingzhi Liu, Long Cheng, Renan C. A. Alves, Tanir Ozcelebi, Fernando A. Kuipers, Guixian Xu, Johan Lukkien, Shanzhi Chen
Cluster-based flow control in hybrid software-defined wireless sensor networks. Comput. Networks 187 (2021)
Qingzhi Liu, Zhilu Wu, Zhendong Yin, Mingyang Wu, Bo Ma
A Novel Multiuser UWB Ranging Scheme in NLOS Indoor Environment. ICT (2020)
Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. CoRR (2020)
Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu
Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud. CoRR (2020)
Qingzhi Liu, Min Jin Ha, Rupam Bhattacharyya, Lana X. Garmire, Veerabhadran Baladandayuthapani
Network-Based Matching of Patients and Targeted Therapies for Precision Oncology. PSB (2020)
Ying Mao, Yuqi Fu, Suwen Gu, Sudip Vhaduri, Long Cheng, Qingzhi Liu
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes. CoRR (2020)
Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy
A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems. IEEE Syst. J. 14 (3) (2020)
Lei Yu, Qingzhi Liu, Rong Hua, You Fu
cRisk Analysis of Cash on Delivery Payment Method by Social Network Analysis and Fuzzy Petri Net. IEEE Access 8 (2020)
Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang
Load-balancing distributed outer joins through operator decomposition. J. Parallel Distributed Comput. 132 (2019)
Tianyu Bi, Qingzhi Liu, Tanir Ozcelebi, Dmitri Jarnikov, Dragan Sekulovski
PCANN: Distributed ANN Architecture for Image Recognition in Resource-Constrained IoT Devices. Intelligent Environments (2019)
Qingzhi Liu, Wieger IJntema, Anass Drif, Przemyslaw Pawelczak, Marco Zuniga
BEH: Indoor Batteryless BLE Beacons using RF Energy Harvesting for Internet of Things. CoRR (2019)
Long Cheng, Cong Liu, Qingzhi Liu, Yucong Duan, John Murphy
Learning Process Models in IoT Edge. SERVICES (2019)
Qingzhi Liu, Tanir Ozcelebi, Long Cheng, Fernando A. Kuipers, Johan Lukkien
CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks. WCNC (2019)
Srikanth Sistu, Qingzhi Liu, Tanir Ozcelebi, Esko Dijk, Teresa Zotti
Performance Evaluation of Thread Protocol based Wireless Mesh Networks for Lighting Systems. ISNCC (2019)
Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien
Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing. CCGRID (2019)
Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos
Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling. Euro-Par (2018)
Jie Zheng, Huan Li, Qingzhi Liu, Yongqun He
The Ontology of Biological and Clinical Statistics (OBCS)-based statistical method standardization and meta-analysis of host responses to yellow fever vaccines. Quant. Biol. 5 (4) (2017)
Qingzhi Liu, Wieger IJntema, Anass Drif, Przemyslaw Pawelczak, Marco Zuniga
WiPLoc: Perpetual Indoor Localization with RF Wireless Power Transfer. CoRR (2017)
Qingzhi Liu, Kasim Sinan Yildirim, Przemyslaw Pawelczak, Martijn Warnier
Safe and secure wireless power transfer networks: challenges and opportunities in RF-based systems. IEEE Commun. Mag. 54 (9) (2016)
Ivar in 't Veen, Qingzhi Liu, Przemyslaw Pawelczak, Aaron N. Parks, Joshua R. Smith
BLISP: Enhancing Backscatter Radio with Active Radio for Computational RFIDs. CoRR (2016)
Qingzhi Liu, Michal Golinski, Przemyslaw Pawelczak, Martijn Warnier
Green Wireless Power Transfer Networks. IEEE J. Sel. Areas Commun. 34 (5) (2016)
Ivar in 't Veen, Qingzhi Liu, Przemyslaw Pawelczak, Aaron N. Parks, Joshua R. Smith
BLISP: Enhancing backscatter radio with active radio for computational RFIDs. IEEE RFID (2016)
Qingzhi Liu, Kasim Sinan Yildirim, Przemyslaw Pawelczak, Martijn Warnier
Safe and Secure Wireless Power Transfer Networks: Challenges and Opportunities in RF-Based Systems. CoRR (2016)
Qingzhi Liu, Michal Golinski, Przemyslaw Pawelczak, Martijn Warnier
Green Wireless Power Transfer Networks. CoRR (2015)
Thomas Christopher King, Qingzhi Liu, Gleb Polevoy, Mathijs de Weerdt, Virginia Dignum, M. Birna van Riemsdijk, Martijn Warnier
Request driven social sensing. AAMAS (2014)
Venkat Iyer, Qingzhi Liu, Stefan Dulman, Koen Langendoen
Adaptive Online Estimation of Temporal Connectivity in Dynamic Wireless Networks. SASO (2013)
Qingzhi Liu, Andrei Pruteanu, Stefan Dulman
Gradient-Based Distance Estimation for Spatial Computers. Comput. J. 56 (12) (2013)
Qingzhi Liu, Andrei Pruteanu, Stefan Dulman
GDE: a distributed gradient-based algorithm for distance estimation in large-scale networks. MSWiM (2011)