| Reconfigurable hardware accelerators: Opportunities, trends, and challenges C Wang, W Lou, L Gong, L Jin, L Tan, Y Hu, X Li, X Zhou arXiv preprint arXiv:1712.04771, 2017 | 22 | 2017 |
| RV-CNN: Flexible and efficient instruction set for CNNs based on RISC-V processors W Lou, C Wang, L Gong, X Zhou Advanced Parallel Processing Technologies: 13th International Symposium …, 2019 | 16 | 2019 |
| Octcnn: A high throughput fpga accelerator for cnns using octave convolution algorithm W Lou, L Gong, C Wang, Z Du, X Zhou IEEE Transactions on Computers 71 (8), 1847-1859, 2021 | 14 | 2021 |
| OctCNN: An energy-efficient FPGA accelerator for CNNs using octave convolution algorithm W Lou, C Wang, L Gong, X Zhou 2020 IEEE International Conference on Cluster Computing (CLUSTER), 410-411, 2020 | 4 | 2020 |
| HAP: A spatial-von neumann heterogeneous automata processor with optimized resource and IO overhead on FPGA X Wang, L Gong, J Cao, W Lou, W Wang, C Wang, X Zhou Proceedings of the 2023 ACM/SIGDA International Symposium on Field …, 2023 | 3 | 2023 |
| NAF: Deeper Network/Accelerator Co-Exploration for Customizing CNNs on FPGA W Lou, J Qian, L Gong, X Wang, C Wang, X Zhou 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 1 | 2023 |
| Unleashing Network/Accelerator Co-Exploration Potential on FPGAs: A Deeper Joint Search W Lou, L Gong, C Wang, J Qian, X Wang, C Li, X Zhou IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | | 2024 |
| Neural Network Instruction Set Extension and Code Mapping Mechanism. W Lou, C Wang, L Gong, X Zhou Int. J. Softw. Informatics 11 (2), 243-258, 2021 | | 2021 |
Chao WangProfessor, University of Science and Technology of ChinaVerified email at ustc.edu.cn
