Jianfei Wang

Orcid: 0009-0004-0132-3319

Affiliations:
  • Xi'an Jiaotong University, School of Microelectronics, China


According to our database1, Jianfei Wang authored at least 17 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
A Scalable and Efficient NTT/INTT Architecture Using Group-Based Pairwise Memory Access and Fast Interstage Reordering.
IEEE Trans. Very Large Scale Integr. Syst., February, 2025

A High-Throughput and Flexible CNN Accelerator Based on Mixed-Radix FFT Method.
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
A Lightweight and Efficient Encryption/Decryption Coprocessor for RLWE-Based Cryptography.
IEEE Trans. Circuits Syst. II Express Briefs, December, 2024

A Novel Two-Level Protection Scheme against Hardware Trojans on a Reconfigurable CNN Accelerator.
Cryptogr., September, 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

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


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