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2020 – today
- 2024
[j5]Xin Zheng
, Mingjun Cheng, Jiasong Chen, Huaien Gao, Xiaoming Xiong, Shuting Cai:
BSSE: Design Space Exploration on the BOOM With Semi-Supervised Learning. IEEE Trans. Very Large Scale Integr. Syst. 32(5): 860-869 (2024)- [j4]Xian Lin, Heming Liu, Xin Zheng, Huaien Gao, Shuting Cai, Xiaoming Xiong:
FPUx: High-Performance Floating-Point Support for Cost-Constrained RISC-V Cores. IEEE Trans. Very Large Scale Integr. Syst. 32(10): 1945-1949 (2024) - 2023
- [j3]Xin Zheng, Junwei Wu, Xian Lin, Huaien Gao, Shuting Cai, Xiaoming Xiong:
Hardware/Software Co-Design of Cryptographic SoC Based on RISC-V Virtual Prototype. IEEE Trans. Circuits Syst. II Express Briefs 70(9): 3624-3628 (2023) - 2022
- [j2]Xueming Li, Hongmin Huang, Taosheng Chen, Huaien Gao, Xianghong Hu, Xiaoming Xiong:
A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator. Microelectron. J. 128: 105547 (2022) - [c10]Zixi Liang, Jiajun Chen, Rui Chen, Bingbing Zheng, Mingyue Zhou, Huaien Gao, Shan Lin:
Domain Adaptable Normalization for Semi-Supervised Action Recognition in the Dark. CVPR Workshops 2022: 4250-4257 - [c9]Zhi Chen, Zijun Fan, Yongjie Li, Huaien Gao, Shan Lin:
Z-Domain Entropy Adaptable Flex for Semi-supervised Action Recognition in the Dark. CVPR Workshops 2022: 4258-4265 - [c8]Shuhao Ling, Huaien Gao, Jiasong Chen, Dawei Liu:
Reinforcement Learning Enabled Throughput Optimization for Interconnection Networks of Interposer-based system. HP3C 2022: 12-18 - [c7]Junwei Wu, Xin Zheng, Shaofen Zeng, Huaien Gao, Xiaoming Xiong:
High-Performance Cryptographic SoC Virtual Prototyping Platform Based on RISC-V VP. HP3C 2022: 84-90 - [c6]Chenyu Huang, Huaien Gao, Yongfeng Zhong, Shuting Cai:
A High-Performance Bidirectional Compiler for conversion between SystemC and Verilog. HP3C 2022: 124-130 - 2021
- [c5]Rui Chen, Jiajun Chen, Zixi Liang, Huaien Gao, Shan Lin:
DarkLight Networks for Action Recognition in the Dark. CVPR Workshops 2021: 846-852
2000 – 2009
- 2009
- [j1]Rudolf Sollacher, Huaien Gao:
Towards Real-World Applications of Online Learning Spiral Recurrent Neural Networks. J. Intell. Learn. Syst. Appl. 1(1): 1-27 (2009) - 2008
- [b1]Huaien Gao:
Distributed learning in sensor networks: an online trained spiral recurrent neural network, guided by an evolution framework, making duty cycle reduction more robust. Ludwig Maximilian University of Munich, Germany, 2008, pp. 1-171 - [c4]Huaien Gao, Rudolf Sollacher:
Conditional prediction of time series using spiral recurrent neural network. ESANN 2008: 125-130 - [c3]Rudolf Sollacher, Huaien Gao:
Efficient online learning with Spiral Recurrent Neural Networks. IJCNN 2008: 2551-2558 - 2007
- [c2]Huaien Gao, Rudolf Sollacher, Hans-Peter Kriegel:
Spiral Recurrent Neural Network for Online Learning. ESANN 2007: 483-488 - 2003
- [c1]Huaien Gao, Andreas Schmidt, Amitava Gupta, Peter Luksch:
Load Balancing for Spatial-grid-based Parallel Numeric Simulations on Clusters of SMPs. PDP 2003: 75-82
Coauthor Index
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