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Wenqi Lou
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2020 – today
- 2024
- [j3]Wenqi Lou, Lei Gong, Chao Wang, Jiaming Qian, Xuan Wang, Changlong Li, Xuehai Zhou:
Unleashing Network/Accelerator Co-Exploration Potential on FPGAs: A Deeper Joint Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3041-3054 (2024) - [c6]Wei Fu, Wenqi Lou, Lei Gong, Chao Wang, Xuehai Zhou:
Beyond Training: A Zero-Shot Framework to Neural Architecture and Accelerator Co-Exploration. CLUSTER Workshops 2024: 148-149 - [c5]Yunji Qin, Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou:
Enhancing Long Sequence Input Processing in FPGA-Based Transformer Accelerators through Attention Fusion. ACM Great Lakes Symposium on VLSI 2024: 599-603 - 2023
- [c4]Wenqi Lou, Jiaming Qian, Lei Gong, Xuan Wang, Chao Wang, Xuehai Zhou:
NAF: Deeper Network/Accelerator Co-Exploration for Customizing CNNs on FPGA. DATE 2023: 1-6 - [c3]Xuan Wang, Lei Gong, Jing Cao, Wenqi Lou, Weiya Wang, Chao Wang, Xuehai Zhou:
hAP: A Spatial-von Neumann Heterogeneous Automata Processor with Optimized Resource and IO Overhead on FPGA. FPGA 2023: 185-196 - 2022
- [j2]Wenqi Lou, Lei Gong, Chao Wang, Zidong Du, Xuehai Zhou:
OctCNN: A High Throughput FPGA Accelerator for CNNs Using Octave Convolution Algorithm. IEEE Trans. Computers 71(8): 1847-1859 (2022) - 2021
- [j1]Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou:
Neural Network Instruction Set Extension and Code Mapping Mechanism. Int. J. Softw. Informatics 11(2): 243-258 (2021) - 2020
- [c2]Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou:
OctCNN: An Energy-Efficient FPGA Accelerator for CNNs using Octave Convolution Algorithm. CLUSTER 2020: 410-411
2010 – 2019
- 2019
- [c1]Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou:
RV-CNN: Flexible and Efficient Instruction Set for CNNs Based on RISC-V Processors. APPT 2019: 3-14 - 2017
- [i1]Chao Wang, Wenqi Lou, Lei Gong, Lihui Jin, Luchao Tan, Yahui Hu, Xi Li, Xuehai Zhou:
Reconfigurable Hardware Accelerators: Opportunities, Trends, and Challenges. CoRR abs/1712.04771 (2017)
Coauthor Index
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last updated on 2024-11-19 21:44 CET by the dblp team
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