Yishuo Meng
Orcid: 0000-0002-3402-6386
According to our database1,
Yishuo Meng
authored at least 20 papers
between 2022 and 2025.
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Collaborative distances:
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Bibliography
2025
Rethinking the Designing of Convolution Engine for Reconfigurable CNN Accelerator Using Sparse-Based Design Scheme.
IEEE Trans. Circuits Syst. I Regul. Pap., August, 2025
A Scalable and Efficient Architecture for Binary Polynomial Multiplication in BIKE Utilizing Inter-/Inner-Wise Sparsity and Block-by-Block Pipeline.
IEEE Trans. Very Large Scale Integr. Syst., May, 2025
A Reconfigurable and Area-Efficient Polynomial Multiplier Using a Novel In-Place Constant-Geometry NTT/INTT and Conflict-Free Memory Mapping Scheme.
IEEE Trans. Circuits Syst. I Regul. Pap., March, 2025
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2025
A Compact and Efficient Hardware Accelerator for RNS-CKKS En/Decoding and En/Decryption.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2025
An Efficient and Parallelism-Scalable Large Integer Multiplier Architecture Using Least-Positive Form and Winograd Fast Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2025
Low Multiplicative Depth Polynomial Evaluation Architectures for Homomorphic Encrypted Data.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025
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
LSTM-CRP: Algorithm-Hardware Co-Design and Implementation of Cache Replacement Policy Using Long Short-Term Memory.
Big Data Cogn. Comput., 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