Huaien Gao

Orcid: 0009-0001-0528-3076

According to our database1, Huaien Gao authored at least 16 papers between 2003 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FPUx: High-Performance Floating-Point Support for Cost-Constrained RISC-V Cores.
IEEE Trans. Very Large Scale Integr. Syst., October, 2024

BSSE: Design Space Exploration on the BOOM With Semi-Supervised Learning.
IEEE Trans. Very Large Scale Integr. Syst., May, 2024

2023
Hardware/Software Co-Design of Cryptographic SoC Based on RISC-V Virtual Prototype.
IEEE Trans. Circuits Syst. II Express Briefs, September, 2023

2022
A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator.
Microelectron. J., 2022

High-Performance Cryptographic SoC Virtual Prototyping Platform Based on RISC-V VP.
Proceedings of the HP3C 2022: 6th International Conference on High Performance Compilation, 2022

Reinforcement Learning Enabled Throughput Optimization for Interconnection Networks of Interposer-based system.
Proceedings of the HP3C 2022: 6th International Conference on High Performance Compilation, 2022

A High-Performance Bidirectional Compiler for conversion between SystemC and Verilog.
Proceedings of the HP3C 2022: 6th International Conference on High Performance Compilation, 2022

Domain Adaptable Normalization for Semi-Supervised Action Recognition in the Dark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Z-Domain Entropy Adaptable Flex for Semi-supervised Action Recognition in the Dark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
DarkLight Networks for Action Recognition in the Dark.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2009
Towards Real-World Applications of Online Learning Spiral Recurrent Neural Networks.
J. Intell. Learn. Syst. Appl., 2009

2008
Distributed learning in sensor networks: an online trained spiral recurrent neural network, guided by an evolution framework, making duty cycle reduction more robust.
PhD thesis, 2008

Efficient online learning with Spiral Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

Conditional prediction of time series using spiral recurrent neural network.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Spiral Recurrent Neural Network for Online Learning.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2003
Load Balancing for Spatial-grid-based Parallel Numeric Simulations on Clusters of SMPs.
Proceedings of the 11th Euromicro Workshop on Parallel, 2003


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