Shuangming Yang

Orcid: 0000-0002-8044-0860

According to our database1, Shuangming Yang authored at least 28 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
NADOL: Neuromorphic Architecture for Spike-Driven Online Learning by Dendrites.
IEEE Trans. Biomed. Circuits Syst., February, 2024

Unsupervised character recognition with graphene memristive synapses.
Neural Comput. Appl., February, 2024

Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework.
IEEE Trans. Syst. Man Cybern. Syst., 2024

CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance Segmentation.
CoRR, 2024

2023
SNIB: Improving Spike-Based Machine Learning Using Nonlinear Information Bottleneck.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Smart Traffic Navigation System for Fault-Tolerant Edge Computing of Internet of Vehicle in Intelligent Transportation Gateway.
IEEE Trans. Intell. Transp. Syst., November, 2023

Auditory perception architecture with spiking neural network and implementation on FPGA.
Neural Networks, August, 2023

Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites.
Neurocomputing, July, 2023

Triple Change Detection Network via Joint Multifrequency and Full-Scale Swin-Transformer for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Evolutionary Optimization of Neuromorphic Architecture for Low-power Cerebellum Prosthetic Instrumentation and Device in Biomedical Systems.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing.
IEEE Trans. Neural Networks Learn. Syst., 2022

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

Local and Global Feature Learning With Kernel Scale-Adaptive Attention Network for VHR Remote Sensing Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion.
Entropy, 2022

2021
Reconstruction of a Fully Paralleled Auditory Spiking Neural Network and FPGA Implementation.
IEEE Trans. Biomed. Circuits Syst., 2021

A CORDIC based real-time implementation and analysis of a respiratory central pattern generator.
Neurocomputing, 2021

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

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

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

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

A real-time FPGA implementation of a biologically inspired central pattern generator network.
Neurocomputing, 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
Digital implementations of thalamocortical neuron models and its application in thalamocortical control using FPGA for Parkinson's disease.
Neurocomputing, 2016

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


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