Yishuo Meng
Orcid: 0000-0002-3402-6386
According to our database1,
Yishuo Meng
authored at least 12 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
ALSCA: A Large-Scale Sparse CNN Accelerator Using Position-First Dataflow and Input Channel Merging Approach.
IEEE Trans. Circuits Syst. II Express Briefs, July, 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
LMS-Based Background Calibration of Bit Weights in SAR ADC Using Reinforcement Learning Optimization.
Circuits Syst. Signal Process., 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
An Efficient and Scalable FHE-Based PDQ Scheme: Utilizing FFT to Design a Low Multiplication Depth Large-Integer Comparison Algorithm.
IEEE Trans. Inf. Forensics Secur., 2024
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
TCPM: A Reconfigurable and Efficient Toom-Cook-Based Polynomial Multiplier Over Rings Using a Novel Compressed Postprocessing Algorithm.
IEEE Trans. Very Large Scale Integr. Syst., August, 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
2022
A Sparse CNN Accelerator for Eliminating Redundant Computations in Intra- and Inter-Convolutional/Pooling Layers.
IEEE Trans. Very Large Scale Integr. Syst., 2022