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Computer Science

D-Index
40
Citations
5667
World Ranking
9404
National Ranking
1192

Overview

Meiqin Liu is affiliated with Zhejiang University in China and has made contributions primarily in the fields of Engineering and Computer Science. Their work spans several subfields including Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Ocean Engineering, and Computer Networks and Communications.

Their research focuses on topics that range from underwater vehicles and communication systems to robotics, sensor-based localization, and distributed control in multi-agent systems. Key topics in their work include:

  • Underwater Vehicles and Communication Systems
  • Robotics and Sensor-Based Localization
  • Target Tracking and Data Fusion in Sensor Networks
  • Distributed Control Multi-Agent Systems
  • Indoor and Outdoor Localization Technologies
  • Robotic Path Planning Algorithms
  • Underwater Acoustics Research

Meiqin Liu has published extensively, with frequent appearances in venues such as arXiv (Cornell University), IEEE Transactions on Instrumentation and Measurement, SSRN Electronic Journal, IEEE Robotics and Automation Letters, and Ocean Engineering. Notable recent papers include:

  • "Secure Health Data Sharing for Medical Cyber-Physical Systems for the Healthcare 4.0," 2020, IEEE Journal of Biomedical and Health Informatics
  • "Observer-Based Sliding Mode Control for Markov Jump Systems With Actuator Failures and Asynchronous Modes," 2020, IEEE Transactions on Circuits & Systems II Express Briefs
  • "Cooperative Estimation to Reconstruct the Parametric Flow Field Using Multiple AUVs," 2021, IEEE Transactions on Instrumentation and Measurement
  • "Distributed Secondary Control for DC Microgrid With Event-Triggered Signal Transmissions," 2021, IEEE Transactions on Sustainable Energy
  • "Adaptive Fuzzy Asynchronous Control for Nonhomogeneous Markov Jump Power Systems Under Hybrid Attacks," 2022, IEEE Transactions on Fuzzy Systems

Liu collaborates frequently with several researchers. Prominent coauthors include Senlin Zhang, Ronghao Zheng, Shanling Dong, Ping Wei, and Badong Chen. The most frequent collaborator is Senlin Zhang, with a significant number of joint publications.

Best Publications

  • Data-Based Line Trip Fault Prediction in Power Systems Using LSTM Networks and SVM

    Senlin Zhang;Yixing Wang;Meiqin Liu;Zhejing Bao

  • Secure Health Data Sharing for Medical Cyber-Physical Systems for the Healthcare 4.0

    Han Qiu;Meikang Qiu;Meiqin Liu;Gerard Memmi

  • Fault diagnosis based on deep learning

    Feiya Lv;Chenglin Wen;Zejing Bao;Meiqin Liu

  • RiSH: A robot-integrated smart home for elderly care

    Ha Manh Do;Minh Pham;Weihua Sheng;Dan Yang

  • Exponential ${ m H}_{\infty}$ Synchronization of General Discrete-Time Chaotic Neural Networks With or Without Time Delays

    Donglian Qi;Meiqin Liu;Meikang Qiu;Senlin Zhang

  • Loop scheduling and bank type assignment for heterogeneous multi-bank memory

    Meikang Qiu;Minyi Guo;Meiqin Liu;Chun Jason Xue

  • Privacy-preserving multi-channel communication in Edge-of-Things

    Keke Gai;Meikang Qiu;Zenggang Xiong;Meiqin Liu

  • A Dynamic Scalable Blockchain Based Communication Architecture for IoT

    Han Qiu;Meikang Qiu;Gerard Memmi;Zhong Ming

  • Wearable Sensor-Based Behavioral Anomaly Detection in Smart Assisted Living Systems

    Chun Zhu;Weihua Sheng;Meiqin Liu

  • Cooperative Estimation to Reconstruct the Parametric Flow Field Using Multiple AUVs

    Linlin Shi;Ronghao Zheng;Senlin Zhang;Meiqin Liu

  • Short-Term Load Forecasting with Multi-Source Data Using Gated Recurrent Unit Neural Networks

    Yixing Wang;Meiqin Liu;Zhejing Bao;Senlin Zhang

  • Observer-Based Sliding Mode Control for Markov Jump Systems With Actuator Failures and Asynchronous Modes

    Shanling Dong;Meiqin Liu;Zheng-Guang Wu;Kaibo Shi

  • Electronic Health Record Error Prevention Approach Using Ontology in Big Data

    Keke Gai;Meikang Qiu;Li-Chiou Chen;Meiqin Liu

  • A novel pre-cache schema for high performance Android system

    Hui Zhao;Min Chen;Meikang Qiu;Keke Gai

  • A Hidden Markov Model based driver intention prediction system

    Duy Tran;Weihua Sheng;Li Liu;Meiqin Liu

  • Distributed Secondary Control for DC Microgrid With Event-Triggered Signal Transmissions

    Lantao Xing;Qianwen Xu;Fanghong Guo;Zheng-Guang Wu

  • Delayed Standard Neural Network Models for Control Systems

    Meiqin Liu

  • Weighted time series fault diagnosis based on a stacked sparse autoencoder

    Feiya Lv;Chenglin Wen;Meiqin Liu;Zhejing Bao

  • Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement

    Unknown

  • Deep learning neural network for power system fault diagnosis

    Yixing Wang;Meiqin Liu;Zhejing Bao

  • Optimal exponential synchronization of general chaotic delayed neural networks: An LMI approach

    Meiqin Liu

  • Low-Power Low-Latency Data Allocation for Hybrid Scratch-Pad Memory

    Meikang Qiu;Zhi Chen;Meiqin Liu

Frequent Co-Authors

Meikang Qiu
Meikang Qiu Augusta University
Weihua Sheng
Weihua Sheng Oklahoma State University
Keke Gai
Keke Gai Beijing Institute of Technology
Zheng-Guang Wu
Zheng-Guang Wu Zhejiang University
Yi Shen
Yi Shen Huazhong University of Science and Technology
Jianwei Niu
Jianwei Niu Beihang University
Guanrong Chen
Guanrong Chen City University of Hong Kong
Zhiyun Lin
Zhiyun Lin Hangzhou Dianzi University
X. Rong Li
X. Rong Li University of New Orleans
Gang Feng
Gang Feng City University of Hong Kong

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