| DLAU: A scalable deep learning accelerator unit on FPGA C Wang, L Gong, Q Yu, X Li, Y Xie, X Zhou IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016 | 417 | 2016 |
| MALOC: A fully pipelined FPGA accelerator for convolutional neural networks with all layers mapped on chip L Gong, C Wang, X Li, H Chen, X Zhou IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 114 | 2018 |
| WinoNN: Optimizing FPGA-based convolutional neural network accelerators using sparse Winograd algorithm X Wang, C Wang, J Cao, L Gong, X Zhou IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 39 | 2020 |
| A power-efficient accelerator based on FPGAs for LSTM network Y Zhang, C Wang, L Gong, Y Lu, F Sun, C Xu, X Li, X Zhou 2017 IEEE International Conference on Cluster Computing (CLUSTER), 629-630, 2017 | 36 | 2017 |
| A ubiquitous machine learning accelerator with automatic parallelization on FPGA C Wang, L Gong, X Li, X Zhou IEEE Transactions on Parallel and Distributed Systems 31 (10), 2346-2359, 2020 | 33 | 2020 |
| A high-performance accelerator for large-scale convolutional neural networks F Sun, C Wang, L Gong, C Xu, Y Zhang, Y Lu, X Li, X Zhou 2017 IEEE International Symposium on Parallel and Distributed Processing …, 2017 | 26 | 2017 |
| Via: A novel vision-transformer accelerator based on fpga T Wang, L Gong, C Wang, Y Yang, Y Gao, X Zhou, H Chen IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 23 | 2022 |
| 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 |
| Improving hw/sw adaptability for accelerating cnns on fpgas through a dynamic/static co-reconfiguration approach L Gong, C Wang, X Li, X Zhou IEEE Transactions on Parallel and Distributed Systems 32 (7), 1854-1865, 2020 | 19 | 2020 |
| Implementation and optimization of the accelerator based on FPGA hardware for LSTM network Y Zhang, C Wang, L Gong, Y Lu, F Sun, C Xu, X Li, X Zhou 2017 IEEE international symposium on parallel and distributed processing …, 2017 | 19 | 2017 |
| A high-performance FPGA accelerator for sparse neural networks: work-in-progress Y Lu, L Gong, C Xu, F Sun, Y Zhang, C Wang, X Zhou Proceedings of the 2017 International Conference on Compilers, Architectures …, 2017 | 19 | 2017 |
| WooKong: A ubiquitous accelerator for recommendation algorithms with custom instruction sets on FPGA C Wang, L Gong, X Ma, X Li, X Zhou IEEE Transactions on Computers 69 (7), 1071-1082, 2020 | 18 | 2020 |
| Fpnet: Customized convolutional neural network for fpga platforms Y Yang, C Wang, L Gong, X Zhou 2019 International Conference on Field-Programmable Technology (ICFPT), 399-402, 2019 | 18 | 2019 |
| 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 |
| An fpga based accelerator for clustering algorithms with custom instructions C Wang, L Gong, F Jia, X Zhou IEEE Transactions on Computers 70 (5), 725-732, 2020 | 14 | 2020 |
| SOLAR: Services-oriented deep learning architectures-deep learning as a service C Wang, L Gong, X Li, Q Yu, A Wang, P Hung, X Zhou IEEE Transactions on Services Computing 14 (1), 262-273, 2017 | 14 | 2017 |
| Work-in-progress: a power-efficient and high performance FPGA accelerator for convolutional neural networks L Gong, C Wang, X Li, H Chen, X Zhou 2017 International Conference on Hardware/Software Codesign and System …, 2017 | 12 | 2017 |
| Domino: Graph processing services on energy-efficient hardware accelerator C Xu, C Wang, L Gong, L Jin, X Li, X Zhou 2018 IEEE International Conference on Web Services (ICWS), 274-281, 2018 | 11 | 2018 |
| SparseNN: A performance-efficient accelerator for large-scale sparse neural networks Y Lu, C Wang, L Gong, X Zhou International Journal of Parallel Programming 46 (4), 648-659, 2018 | 8 | 2018 |
Chao WangProfessor, University of Science and Technology of ChinaVerifierad e-postadress på ustc.edu.cn
