Yirong Kan

Orcid: 0000-0002-4070-0672

According to our database1, Yirong Kan authored at least 26 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FPSpike: A Fully Parallel and Reconfigurable Architecture for Accelerating Spiking Neural Networks With Structured Sparsity.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2026

DystoHD: an area-efficient hyperdimensional computing system with dynamic hypervector generation for memory-constrained devices.
J. Supercomput., February, 2026

An FPGA Accelerator for Vision Transformer with Quantization and LUT-Based Operations.
IEICE Trans. Inf. Syst., 2026

Efficient Hardware Implementation of Robust Binary Neural Networks Using End-to-End Unipolar Representation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2026

Mutual Information Loss for Enhancing Class-Wise Representation in Spiking Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

2025
Buffer and Splitter Insertion for Adiabatic Quantum-Flux-Parametron Circuits.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2025

A DNN-Oriented Rapid Simulation Framework for Digital Processing-In-Memory Architectures.
Proceedings of the 38th IEEE International System-on-Chip Conference, 2025

A Lightweight Transformer Model with Dynamic Sparse Mask for Neural Machine Translation.
Proceedings of the IEEE Symposium on Low-Power and High-Speed Chips and Systems, 2025

2024
Bisection Neural Network Toward Reconfigurable Hardware Implementation.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

A Fully-Parallel Reconfigurable Spiking Neural Network Accelerator with Structured Sparse Connections.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Power-Efficient Acceleration of GCNs on Coarse-Grained Linear Arrays.
Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2024

An FPGA-Oriented Quantization Approach for Vision Transformer with LUT-Friendly Operations.
Proceedings of the Twelfth International Symposium on Computing and Networking, 2024

2023
A Low Latency Spiking Neural Network with Improved Temporal Dynamics.
Proceedings of the 36th IEEE International System-on-Chip Conference, 2023

A Non-deterministic Training Approach for Memory-Efficient Stochastic Neural Networks.
Proceedings of the 36th IEEE International System-on-Chip Conference, 2023

An Ultra-Compact Calculation Unit with Temporal-Spatial Re-configurability.
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

A Global Optimization Algorithm for Buffer and Splitter Insertion in Adiabatic Quantum-Flux-Parametron Circuits.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

Computer-Aided-Prediction of Body Constitution with Efficient Cock-Tail Learning.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
MuGRA: A Scalable Multi-Grained Reconfigurable Accelerator Powered by Elastic Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Online Learning of Parameters for Modeling User Preference Based on Bayesian Network.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022

A Stochastic Coding Method of EEG Signals for Sleep Stage Classification.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

GAND-Nets: Training Deep Spiking Neural Networks with Ternary Weights.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
DiaNet: An elastic neural network for effectively re-configurable implementation.
Neurocomputing, 2021

2020
An Elastic Neural Network Toward Multi-Grained Re-configurable Accelerator.
Proceedings of the 18th IEEE International New Circuits and Systems Conference, 2020

A Multi-grained Reconfigurable Accelerator for Approximate Computing.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020


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