Fahong Zhang
Orcid: 0009-0006-9711-0549Affiliations:
- Xi'an Jiaotong University, Xi'an, China
According to our database1,
Fahong Zhang
authored at least 9 papers
between 2023 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
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
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 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
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
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