Yu Hui

Orcid: 0000-0002-3756-8885

According to our database1, Yu Hui authored at least 19 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-Antagonism Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images.
Medical Image Anal., October, 2023

Dual-stream Assisted U-Net for Thyroid Nodule Segmentation.
Proceedings of the Asia Conference on Artificial Intelligence, 2023

2022
Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Data-Driven Adaptive Consensus Learning From Network Topologies.
IEEE Trans. Neural Networks Learn. Syst., 2022

Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations.
IEEE Trans. Cybern., 2022

Gentle Normalization and Translation in Graph Neural Network for Few-shot Learning.
Proceedings of the 13th Asian Control Conference, 2022

2021
Observer-Based Sampled-Data Model-Free Adaptive Control for Continuous-Time Nonlinear Nonaffine Systems With Input Rate Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems.
IEEE Trans. Autom. Control., 2021

Convergence Analysis of Sampled-Data ILC for Locally Lipschitz Continuous Nonlinear Nonaffine Systems With Nonrepetitive Uncertainties.
IEEE Trans. Autom. Control., 2021

2020
3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization.
IEEE Trans. Ind. Electron., 2020

Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation Control.
IEEE Trans. Cybern., 2020

Nonholonomic dynamic linearisation based adaptive PID-type ILC for nonlinear systems with iteration-varying uncertainties.
Int. J. Syst. Sci., 2020

2019
Research on Spinal Lumbar Sacral Degeneration Finite Element Model.
Int. J. Pattern Recognit. Artif. Intell., 2019

2018
Construction of Biological Model of Human Lumbar and Analysis of its Mechanical Properties.
Int. J. Pattern Recognit. Artif. Intell., 2018

2017
Three-Dimensional Geometric Statistical Model Based on Locating Feature Points of Gaussian Curvature Flow and Vector Inner Product.
Proceedings of the International Conference on Compute and Data Analysis, 2017

2010
Simple sticking models and adhesion criterion to predict sticking effects of fixed-fixed beams in RF MEMS switch design.
Proceedings of the 5th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2010


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