Siwei Xiang

According to our database1, Siwei Xiang authored at least 9 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A High-Throughput and Scalable Schoolbook Polynomial Multiplier for Accelerating Saber on FPGA Using a Novel Winograd-Based Architecture.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

Flexible and Efficient Convolutional Acceleration on Unified Hardware Using the Two-Stage Splitting Method and Layer-Adaptive Allocation of 1-D/2-D Winograd Units.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

WRA-SS: A High-Performance Accelerator Integrating Winograd With Structured Sparsity for Convolutional Neural Networks.
IEEE Trans. Very Large Scale Integr. Syst., January, 2024

A High-Throughput Toom-Cook-4 Polynomial Multiplier for Lattice-Based Cryptography Using a Novel Winograd-Schoolbook Algorithm.
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2024

2023
A High-Throughput and Flexible Architecture Based on a Reconfigurable Mixed-Radix FFT With Twiddle Factor Compression and Conflict-Free Access.
IEEE Trans. Very Large Scale Integr. Syst., October, 2023

An Efficient CNN Accelerator Achieving High PE Utilization Using a Dense-/Sparse-Aware Redundancy Reduction Method and Data-Index Decoupling Workflow.
IEEE Trans. Very Large Scale Integr. Syst., October, 2023

POSS-CNN: An Automatically Generated Convolutional Neural Network with Precision and Operation Separable Structure Aiming at Target Recognition and Detection.
Inf., 2023

An Efficient Hardware Implementation of Dilated Convolution Using a Novel Channel-Equivalent Decomposition Method.
Proceedings of the IEEE International Conference on Integrated Circuits, 2023

2021
A High Performance and Full Utilization Hardware Implementation of Floating Point Arithmetic Units.
Proceedings of the 28th IEEE International Conference on Electronics, 2021


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