Huiyan Li

Orcid: 0000-0002-2700-8550

According to our database1, Huiyan Li authored at least 70 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Distributed Fixed-Time Consensus of Discrete-Time Heterogeneous Multi-Agent Systems via Predictive Mechanism and Lyapunov Approach.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2024

An outlier detection based two-stage EEG artifact removal method using empirical wavelet transform and canonical correlation analysis.
Biomed. Signal Process. Control., 2024

2023
Evaluation of Curriculum Implementation Effectiveness of Higher Vocational Education Based on Collaborative Filtering Algorithm.
Scalable Comput. Pract. Exp., September, 2023

Distributed Model Predictive Consensus of Constrained Heterogeneous Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Finite-Time Predictive Consensus for Discrete-Time Heterogeneous Multi-Agent Systems Over Switching Digraphs.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

Silent Speech Interface With Vocal Speaker Assistance Based on Convolution-Augmented Transformer.
IEEE Trans. Instrum. Meas., 2023

Basic Taste Sensation Recognition From EEG Based on Multiscale Convolutional Neural Network With Residual Learning.
IEEE Trans. Instrum. Meas., 2023

Hybrid Silent Speech Interface Through Fusion of Electroencephalography and Electromyography.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Research on Teaching Model Innovation in the Context of Smart Learning.
Proceedings of the Computer Science and Education. Educational Digitalization, 2023

Bimodal Fusion Network for Basic Taste Sensation Recognition from Electroencephalography and Electromyography.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture.
IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Cross-User Adaptation in Taste Sensation Recognition Based on Surface Electromyography.
IEEE Trans. Instrum. Meas., 2022

Intensity-Varied Closed-Loop Noise Stimulation for Oscillation Suppression in the Parkinsonian State.
IEEE Trans. Cybern., 2022

Computer Network Vulnerability Detection and Semantic Data Analysis Optimization Based on Artificial Intelligence.
Int. J. Distributed Syst. Technol., 2022

Adaptive closed-loop control strategy inhibiting pathological basal ganglia oscillations.
Biomed. Signal Process. Control., 2022

Oscillation suppression effects of intermittent noisy deep brain stimulation induced by coordinated reset pattern based on a computational model.
Biomed. Signal Process. Control., 2022

A Novel Screening Framework for Lymph Node Metastasis in Colorectal Cancer Based on Deep Learning Approaches.
Proceedings of the ICMIP 2022: 7th International Conference on Multimedia and Image Processing, Tianjin, China, January 14, 2022

2021
Qualitative Recognition of Primary Taste Sensation Based on Surface Electromyography.
Sensors, 2021

Unsupervised cross-user adaptation in taste sensationrecognition based on surface electromyography withconformal prediction and domain regularizedcomponent analysis.
CoRR, 2021

Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model.
CoRR, 2021

Garbage detection and classification method based on YoloV5 algorithm.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

2020
Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2020

Distributed Consensus of Heterogeneous Linear Time-Varying Systems on UAVs-USVs Coordination.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Distributed Model Predictive Consensus of Heterogeneous Time-Varying Multi-Agent Systems: With and Without Self-Triggered Mechanism.
IEEE Trans. Circuits Syst., 2020

Formation of Generic UAVs-USVs System Under Distributed Model Predictive Control Scheme.
IEEE Trans. Circuits Syst., 2020

Text recognition and classification of english teaching content based on SVM.
J. Intell. Fuzzy Syst., 2020

Neural Network-Based Closed-Loop Deep Brain Stimulation for Modulation of Pathological Oscillation in Parkinson's Disease.
IEEE Access, 2020

Spectrum Demand Estimation Model for NGSO Communication Systems Considering Time Delay Constraints and Different Spectrum Access Strategies.
Proceedings of the 27th International Conference on Telecommunications, 2020

Research on the Application of Artificial Intelligence in Education.
Proceedings of the 15th International Conference on Computer Science & Education, 2020

Effects of Synaptic Time Constant on Firing Activities of a minimal Central Pattern Generator.
Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2019
Design of Hidden-Property-Based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation.
IEEE Trans. Fuzzy Syst., 2019

Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks.
IEEE Trans. Cybern., 2019

Noise-Induced Improvement of the Parkinsonian State: A Computational Study.
IEEE Trans. Cybern., 2019

A Novel Machine Translation Method based on Stochastic Finite Automata Model for Spoken English.
Int. J. Emerg. Technol. Learn., 2019

A Secure and Power-Efficient Constellations for Physical Layer Security.
Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

Digital Implementation of the Retinal Spiking Neural Network under Light Stimulation.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

An adaptive transcranial direct current stimulation (tDCS).
Proceedings of the 6th International Conference on Systems and Informatics, 2019

Adaptive alternating current transcranial electrical stimulation (tACS).
Proceedings of the 6th International Conference on Systems and Informatics, 2019

Patient-Specific Seizure Prediction Using Convolutional Neural Networks and Scalp EEG.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018
Modeling and Analysis of Beta Oscillations in the Basal Ganglia.
IEEE Trans. Neural Networks Learn. Syst., 2018

Nonlinear predictive control for adaptive adjustments of deep brain stimulation parameters in basal ganglia-thalamic network.
Neural Networks, 2018

Cost-efficient FPGA implementation of a biologically plausible dopamine neural network and its application.
Neurocomputing, 2018

FPGA implementation of hippocampal spiking network and its real-time simulation on dynamical neuromodulation of oscillations.
Neurocomputing, 2018

Synaptic dynamics regulation in response to high frequency stimulation in neuronal networks.
Commun. Nonlinear Sci. Numer. Simul., 2018

2017
Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network.
IEEE Trans. Neural Networks Learn. Syst., 2017

Efficient hardware implementation of the subthalamic nucleus-external globus pallidus oscillation system and its dynamics investigation.
Neural Networks, 2017

Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state.
Neural Networks, 2017

Contributions of adaptation currents to dynamic spike threshold on slow timescales: Biophysical insights from conductance-based models.
Commun. Nonlinear Sci. Numer. Simul., 2017

Ground-target tracking UAVs system via nonlinear distbuted model predictive control.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Real-Time Prediction of the Unobserved States in Dopamine Neurons on a Reconfigurable FPGA Platform.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
SAR Image Classification via Hierarchical Sparse Representation and Multisize Patch Features.
IEEE Geosci. Remote. Sens. Lett., 2016

Digital implementations of thalamocortical neuron models and its application in thalamocortical control using FPGA for Parkinson's disease.
Neurocomputing, 2016

Predictive control for spike pattern modulation of a two-compartment neuron model.
Neurocomputing, 2016

Effects of couplings on the optimal desynchronizing control of neuronal networks.
Neurocomputing, 2016

Minimum energy control for a two-compartment neuron to extracellular electric fields.
Commun. Nonlinear Sci. Numer. Simul., 2016

2015
Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis.
Neural Networks, 2015

Variable universe fuzzy closed-loop control of tremor predominant Parkinsonian state based on parameter estimation.
Neurocomputing, 2015

Adaptive Control of Parkinson's State Based on a Nonlinear Computational Model with Unknown Parameters.
Int. J. Neural Syst., 2015

Impacts of clustering on noise-induced spiking regularity in the excitatory neuronal networks of subnetworks.
Frontiers Comput. Neurosci., 2015

Dynamical analysis of Parkinsonian state emulated by hybrid Izhikevich neuron models.
Commun. Nonlinear Sci. Numer. Simul., 2015

2014
Model-based iterative learning control of Parkinsonian state in thalamic relay neuron.
Commun. Nonlinear Sci. Numer. Simul., 2014

Dynamic analysis of Hodgkin's three classes of neurons exposed to extremely low-frequency sinusoidal induced electric field.
Appl. Math. Comput., 2014

Short time effect of delta oscillation under microcurrent transcutaneous electrical nerve stimulation at ST36.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Effects of synaptic coupling on phase response curve of neurons.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013
The effects of induction electric field on sensitivity of firing rate in a single-compartment neuron model.
Neurocomputing, 2013

Closed-Loop Control of the thalamocortical Relay Neuron's Parkinsonian State Based on Slow Variable.
Int. J. Neural Syst., 2013

2012
The effect of extreme low frequency external electric field on the adaptability in the Ermentrout model.
Neurocomputing, 2012

2011
Influence of the twirling frequency on the firing patterns of the evoked spike trains.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2007
Bifurcation Analysis of the Hodgkin-Huxley Model Exposed to External DC Electric Field.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006
Adaptive robust control of nonholonomic systems with stochastic disturbances.
Sci. China Ser. F Inf. Sci., 2006


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