Yi Chen

Orcid: 0009-0005-7944-9349

Affiliations:
  • China Aerodynamics Research and Development Center, Mianyang, Sichuan, China


According to our database1, Yi Chen authored at least 16 papers between 2017 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

2023
A biologically inspired auto-associative network with sparse temporal population coding.
Neural Networks, September, 2023

A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning.
Neurocomputing, 2022

Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Gradual Surrogate Gradient Learning in Deep Spiking Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A new recursive least squares-based learning algorithm for spiking neurons.
Neural Networks, 2021

Bio-inspired Model Based on Global-Local Hybrid Learning in Spiking Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing.
IEEE J. Sel. Top. Signal Process., 2020

A spiking neural network with probability information transmission.
Neurocomputing, 2020

2019
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2019

Automated diagnosis of breast ultrasonography images using deep neural networks.
Medical Image Anal., 2019

2017
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017


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