Qingzhi Liu

Qingzhi Liu

Wageningen Universiteit

H-index: 14

Europe-Netherlands

About Qingzhi Liu

Qingzhi Liu, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Wageningen Universiteit, specializes in the field of Artificial Intelligence, Internet of Things, Precision Agriculture.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

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

Privacy and Integrity Protection for IoT Multimodal Data using Machine Learning and Blockchain

Boosting the Prediction Accuracy of a Process-Based Greenhouse Climate-Tomato Production Model by Particle Filtering and Deep Learning

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

Deep Learning-Based Rice Phenological Stage Recognition

A Similarity-Enhanced Hybrid Group Recommendation Approach in Cloud Manufacturing Systems

Qingzhi Liu Information

University

Position

___

Citations(all)

780

Citations(since 2020)

702

Cited By

179

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

20

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Qingzhi Liu Skills & Research Interests

Artificial Intelligence

Internet of Things

Precision Agriculture

Top articles of Qingzhi Liu

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

Neural Computing and Applications

2024/2/21

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

IEEE Transactions on Services Computing

2024/1/15

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

IEEE Transactions on Sustainable Computing

2024/1/12

Privacy and Integrity Protection for IoT Multimodal Data using Machine Learning and Blockchain

ACM Transactions on Multimedia Computing, Communications and Applications

2024

Boosting the Prediction Accuracy of a Process-Based Greenhouse Climate-Tomato Production Model by Particle Filtering and Deep Learning

Computers and Electronics in Agriculture

2023/8/1

Qingzhi Liu
Qingzhi Liu

H-Index: 7

David Katzin
David Katzin

H-Index: 3

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

2023/6/26

Qingzhi Liu
Qingzhi Liu

H-Index: 7

Deep Learning-Based Rice Phenological Stage Recognition

Remote Sensing

2023/6/1

Qingzhi Liu
Qingzhi Liu

H-Index: 7

Jie Liu
Jie Liu

H-Index: 2

A Similarity-Enhanced Hybrid Group Recommendation Approach in Cloud Manufacturing Systems

Computers & Industrial Engineering

2023/4/1

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

2022/11/11

BSAS: A blockchain-based trustworthy and privacy-preserving speed advisory system

IEEE Transactions on Vehicular Technology

2022/7/8

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

IEEE Transactions on Cloud Computing

2022/3/1

Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster

IEEE Systems Journal

2021/12/10

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

IEEE Transactions on Parallel and Distributed Systems

2021/10

Image-Based Body Mass Prediction of Heifers Using Deep Neural Networks

Biosystems Engineering

2021/4/1

Qingzhi Liu
Qingzhi Liu

H-Index: 7

Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks

IEEE Network

2021/2/9

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

IEEE Transactions on Intelligent Transportation Systems

2021/1/28

Computer Vision-Based Weight Estimation of Livestock: a Systematic Literature Review

2021/1/19

Qingzhi Liu
Qingzhi Liu

H-Index: 7

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

IEEE Transactions on Parallel and Distributed Systems

2021/1/20

Cluster-Based Flow Control in Hybrid Software-Defined Wireless Sensor Networks

Computer Networks

2021/3/14

Transprecise: Proteomics-based network modeling of the pan-cancer patient and cell line interactome

APHA's 2020 VIRTUAL Annual Meeting and Expo (Oct. 24-28)

2020/10/27

See List of Professors in Qingzhi Liu University(Wageningen Universiteit)

Co-Authors

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