Yihua Huang
Orcid: 0000-0001-6736-7913Affiliations:
- Sun Yat-Sen University, School of Electronic and Information Technology, Guangzhou, China
According to our database1,
Yihua Huang
authored at least 19 papers
between 2019 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
Neural Comput. Appl., 2024
Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024
Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024
Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024
Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024
2023
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023
BSTMSM: A High-Performance FPGA-based Multi-Scalar Multiplication Hardware Accelerator.
Proceedings of the International Conference on Field Programmable Technology, 2023
A Novel Hardware Accelerator of NeRF Based on Xilinx UltraScale and UltraScale+ FPGA.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023
2022
FPGA-Based High-Throughput CNN Hardware Accelerator With High Computing Resource Utilization Ratio.
IEEE Trans. Neural Networks Learn. Syst., 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
A High-performance Deployment Framework for Pipelined CNN Accelerators with Flexible DSE Strategy.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Hardware Design and Implementation of Classic McEliece Post-Quantum Cryptosystem Based on FPGA.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022
2021
IEEE Trans. Very Large Scale Integr. Syst., 2021
IEEE Trans. Very Large Scale Integr. Syst., 2021
2020
Deep Convolutional Neural Networks-Based Automatic Breast Segmentation and Mass Detection in DCE-MRI.
Comput. Math. Methods Medicine, 2020
A Hybrid-Pipelined Architecture for FPGA-based Binary Weight DenseNet with High Performance-Efficiency.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
2019
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019