Xinghui Yin

According to our database1, Xinghui Yin authored at least 16 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
OptiDepthNet: A Real-Time Unsupervised Monocular Depth Estimation Network.
Wirel. Pers. Commun., February, 2023

2022
A Novel Sparsity Adaptive Algorithm for Underwater Acoustic Signal Reconstruction.
Sensors, 2022

Underwater salient object detection based on frequency-tuned.
Proceedings of the International Conference on Artificial Intelligence, 2022

2021
Adaptive control based on Barrier Lyapunov function for a class of full-state constrained stochastic nonlinear systems with dead-zone and unmodeled dynamics.
Trans. Inst. Meas. Control, 2021

Low Rank Correlation Representation and Clustering.
Sci. Program., 2021

Adaptive neural output-feedback control for a class of output-constrained switched stochastic nonlinear systems.
Int. J. Syst. Sci., 2021

Adaptive output-feedback control for a class of stochastic nonlinear systems with unknown control directions and hysteresis input.
Int. J. Syst. Sci., 2021

2020
Adaptive finite-time prescribed performance control of switched nonlinear systems with unknown actuator dead-zone.
Int. J. Syst. Sci., 2020

BLF-based adaptive DSC for a class of stochastic nonlinear systems of full state constraints with time delay and hysteresis input.
Neurocomputing, 2020

Variable step-size matching pursuit based on oblique projection for compressed sensing.
IET Image Process., 2020

2019
Underwater salient object detection jointly using improved spectral residual and Fuzzy c-Means.
J. Intell. Fuzzy Syst., 2019

Neural network based adaptive dynamic surface control of nonaffine nonlinear systems with time delay and input hysteresis nonlinearities.
Neurocomputing, 2019

Neural Networks-Based Adaptive Tracking Control for a Class of High-Order Stochastic Nonlinear Time-Delay Systems.
IEEE Access, 2019

2018
Disturbance observer based adaptive neural control of uncertain MIMO nonlinear systems with unmodeled dynamics.
Neurocomputing, 2018

Disturbance observer based adaptive neural prescribed performance control for a class of uncertain nonlinear systems with unknown backlash-like hysteresis.
Neurocomputing, 2018

Robust adaptive neural tracking control for a class of nonlinear systems with unmodeled dynamics using disturbance observer.
Neurocomputing, 2018


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