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ORCIDQingzhi Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j25]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: 109350 (2024)- [j24]Ao Zhang, Qingzhi Liu, Jinwei Liu, Long Cheng:
CASA: cost-effective EV charging scheduling based on deep reinforcement learning. Neural Comput. Appl. 36(15): 8355-8370 (2024) - [j23]Long Cheng, Qingzhi Liu, Lei Yang, John Murphy:
Guest Editorial of the Special Section on Intelligent Computing for Big Data in Consumer Internet of Things. IEEE Trans. Consumer Electron. 70(2): 4958-4960 (2024) - [j22]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): 153:1-153:18 (2024) - [j21]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): 949-962 (2024) - 2023
- [j20]Jian Liu, Youling Chen, Qingzhi Liu, Bedir Tekinerdogan:
A similarity-enhanced hybrid group recommendation approach in cloud manufacturing systems. Comput. Ind. Eng. 178: 109128 (2023) - [j19]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: 107980 (2023) - [j18]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): 2891 (2023) - [j17]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): 1667-1677 (2023) - [c15]Mohammed Ahmad Abuhaliqa, Cagatay Catal, Qingzhi Liu:
Securing the Internet of Things Network using a Hierarchical Hyperledger Fabric Model. MetaCom 2023: 775-779 - 2022
- [j16]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: 101695 (2022) - [j15]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): 3770-3781 (2022) - [j14]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): 5887-5893 (2022) - [j13]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): 1491-1502 (2022) - [j12]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): 11421-11430 (2022) - [c14]Qingzhi Liu, Zhendong Yin, Mingyang Wu, Zhilu Wu, Zhijiang Xu:
LSTM Network-based SNR Estimator for DS-UWB Wireless Sensor Network. DSA 2022: 965-973 - [c13]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: 414-415 - 2021
- [j11]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: 107788 (2021) - [j10]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) - [j9]Qingzhi Liu, Long Cheng, Adele Lu Jia, Cong Liu:
Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. IEEE Netw. 35(2): 112-119 (2021) - [j8]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): 1494-1510 (2021) - [i9]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 abs/2101.06451 (2021) - 2020
- [j7]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: 174160-174168 (2020) - [j6]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): 3117-3128 (2020) - [c12]Qingzhi Liu, Zhilu Wu, Zhendong Yin, Mingyang Wu, Bo Ma:
A Novel Multiuser UWB Ranging Scheme in NLOS Indoor Environment. ICT 2020: 1-5 - [c11]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: 623-634 - [i8]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 abs/2010.10350 (2020) - [i7]Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao:
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. CoRR abs/2010.11307 (2020) - [i6]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 abs/2010.12728 (2020)
2010 – 2019
- 2019
- [j5]Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang:
Load-balancing distributed outer joins through operator decomposition. J. Parallel Distributed Comput. 132: 21-35 (2019) - [c10]Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien:
Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing. CCGRID 2019: 600-603 - [c9]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: 1-8 - [c8]Srikanth Sistu, Qingzhi Liu, Tanir Ozcelebi, Esko Dijk, Teresa Zotti:
Performance Evaluation of Thread Protocol based Wireless Mesh Networks for Lighting Systems. ISNCC 2019: 1-8 - [c7]Long Cheng, Cong Liu, Qingzhi Liu, Yucong Duan, John Murphy:
Learning Process Models in IoT Edge. SERVICES 2019: 147-150 - [c6]Qingzhi Liu, Tanir Ozcelebi, Long Cheng, Fernando A. Kuipers, Johan Lukkien:
CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks. WCNC 2019: 1-8 - [i5]Qingzhi Liu, Wieger IJntema, Anass Drif, Przemyslaw Pawelczak, Marco Zuniga:
BEH: Indoor Batteryless BLE Beacons using RF Energy Harvesting for Internet of Things. CoRR abs/1911.03381 (2019) - 2018
- [c5]Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos:
Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling. Euro-Par 2018: 293-305 - 2017
- [j4]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): 291-301 (2017) - [i4]Qingzhi Liu, Wieger IJntema, Anass Drif, Przemyslaw Pawelczak, Marco Zuniga:
WiPLoc: Perpetual Indoor Localization with RF Wireless Power Transfer. CoRR abs/1712.01735 (2017) - 2016
- [j3]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): 74-79 (2016) - [j2]Qingzhi Liu, Michal Golinski, Przemyslaw Pawelczak, Martijn Warnier:
Green Wireless Power Transfer Networks. IEEE J. Sel. Areas Commun. 34(5): 1740-1756 (2016) - [c4]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: 78-81 - [i3]Qingzhi Liu, Kasim Sinan Yildirim, Przemyslaw Pawelczak, Martijn Warnier:
Safe and Secure Wireless Power Transfer Networks: Challenges and Opportunities in RF-Based Systems. CoRR abs/1601.05648 (2016) - [i2]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 abs/1604.00913 (2016) - 2015
- [i1]Qingzhi Liu, Michal Golinski, Przemyslaw Pawelczak, Martijn Warnier:
Green Wireless Power Transfer Networks. CoRR abs/1504.00639 (2015) - 2014
- [c3]Thomas Christopher King, Qingzhi Liu, Gleb Polevoy, Mathijs de Weerdt, Virginia Dignum, M. Birna van Riemsdijk, Martijn Warnier:
Request driven social sensing. AAMAS 2014: 1651-1652 - 2013
- [j1]Qingzhi Liu, Andrei Pruteanu, Stefan Dulman:
Gradient-Based Distance Estimation for Spatial Computers. Comput. J. 56(12): 1469-1499 (2013) - [c2]Venkat Iyer, Qingzhi Liu, Stefan Dulman, Koen Langendoen:
Adaptive Online Estimation of Temporal Connectivity in Dynamic Wireless Networks. SASO 2013: 237-246 - 2011
- [c1]Qingzhi Liu, Andrei Pruteanu, Stefan Dulman:
GDE: a distributed gradient-based algorithm for distance estimation in large-scale networks. MSWiM 2011: 151-158
Coauthor Index
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last updated on 2024-10-08 20:27 CEST by the dblp team
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