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Qingzhi Liu
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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
Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease. Comput. Electron. Agric. 225: 109350 (2024) - [j24]Ao Zhang, Qingzhi Liu
CASA: cost-effective EV charging scheduling based on deep reinforcement learning. Neural Comput. Appl. 36(15): 8355-8370 (2024) - [j23]Long Cheng
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
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
Explainable and Effective Process Remaining Time Prediction Using Feature-Informed Cascade Prediction Model. IEEE Trans. Serv. Comput. 17(3): 949-962 (2024) - [c16]Long Cheng, Haoyang He, Yan Gu, Qingzhi Liu, Zhiming Zhao, Fang Fang:
MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection. ICPADS 2024: 657-666 - 2023
- [j20]Jian Liu, Youling Chen, Qingzhi Liu
A similarity-enhanced hybrid group recommendation approach in cloud manufacturing systems. Comput. Ind. Eng. 178: 109128 (2023) - [j19]Xiaohan Zhou
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
Deep-Learning-Based Rice Phenological Stage Recognition. Remote. Sens. 15(11): 2891 (2023) - [j17]Ying Mao
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
UWB LOS/NLOS identification in multiple indoor environments using deep learning methods. Phys. Commun. 52: 101695 (2022) - [j15]Ying Mao
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. IEEE Syst. J. 16(3): 3770-3781 (2022) - [j14]Mingming Liu
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
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
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
Cluster-based flow control in hybrid software-defined wireless sensor networks. Comput. Networks 187: 107788 (2021) - [j10]Lei Yu
A change domain-based model repair method via Petri nets. Trans. Emerg. Telecommun. Technol. 32(1) (2021) - [j9]Qingzhi Liu
Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. IEEE Netw. 35(2): 112-119 (2021) - [j8]Long Cheng
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
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
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
Load-balancing distributed outer joins through operator decomposition. J. Parallel Distributed Comput. 132: 21-35 (2019) - [c10]Qingzhi Liu
Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing. CCGRID 2019: 600-603 - [c9]Tianyu Bi
PCANN: Distributed ANN Architecture for Image Recognition in Resource-Constrained IoT Devices. Intelligent Environments 2019: 1-8 - [c8]Srikanth Sistu, Qingzhi Liu
Performance Evaluation of Thread Protocol based Wireless Mesh Networks for Lighting Systems. ISNCC 2019: 1-8 - [c7]Long Cheng
Learning Process Models in IoT Edge. SERVICES 2019: 147-150 - [c6]Qingzhi Liu
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
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
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
Green Wireless Power Transfer Networks. IEEE J. Sel. Areas Commun. 34(5): 1740-1756 (2016) - [c4]Ivar in 't Veen, Qingzhi Liu
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
Gradient-Based Distance Estimation for Spatial Computers. Comput. J. 56(12): 1469-1499 (2013) - [c2]Venkat Iyer, Qingzhi Liu
Adaptive Online Estimation of Temporal Connectivity in Dynamic Wireless Networks. SASO 2013: 237-246 - 2011
- [c1]Qingzhi Liu
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 2024-12-26 01:50 CET by the dblp team
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