A survey of FPGA-based neural network accelerator K Guo, S Zeng, J Yu, Y Wang, H Yang arXiv preprint arXiv:1712.08934, 2017 | 260 | 2017 |
[DL] A survey of FPGA-based neural network inference accelerators K Guo, S Zeng, J Yu, Y Wang, H Yang ACM Transactions on Reconfigurable Technology and Systems (TRETS) 12 (1), 1-26, 2019 | 76 | 2019 |
Enabling efficient and flexible FPGA virtualization for deep learning in the cloud S Zeng, G Dai, H Sun, K Zhong, G Ge, K Guo, Y Wang, H Yang 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020 | 16 | 2020 |
Towards lower bit multiplication for convolutional neural network training K Zhong, T Zhao, X Ning, S Zeng, K Guo, Y Wang, H Yang arXiv preprint arXiv:2006.02804 3 (4), 2020 | 12* | 2020 |
Soft error tolerant convolutional neural networks on fpgas with ensemble learning Z Gao, H Zhang, Y Yao, J Xiao, S Zeng, G Ge, Y Wang, A Ullah, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (3), 291-302, 2022 | 11 | 2022 |
An efficient reconfigurable framework for general purpose CNN-RNN models on FPGAs S Zeng, K Guo, S Fang, J Kang, D Xie, Y Shan, Y Wang, H Yang 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018 | 11 | 2018 |
Black box search space profiling for accelerator-aware neural architecture search S Zeng, H Sun, Y Xing, X Ning, Y Shan, X Chen, Y Wang, H Yang 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 518-523, 2020 | 8 | 2020 |
A Survey of FPGA-Based Neural Network Inference Accelerator (2018) K Guo, S Zeng, J Yu, Y Wang, H Yang arXiv preprint arXiv:1712.08934, 0 | 8 | |
FPGA accelerated model predictive control for autonomous driving Y Li, SE Li, X Jia, S Zeng, Y Wang Journal of Intelligent and Connected Vehicles 5 (2), 63-71, 2022 | 7 | 2022 |
INCA: Interruptible CNN accelerator for multi-tasking in embedded robots J Yu, Z Xu, S Zeng, C Yu, J Qiu, C Shen, Y Xu, G Dai, Y Wang, H Yang 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 7 | 2020 |
A fine-grained sparse accelerator for multi-precision DNN S Zeng, Y Lin, S Liang, J Kang, D Xie, Y Shan, S Han, Y Wang, H Yang Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019 | 7 | 2019 |
A unified FPGA virtualization framework for general-purpose deep neural networks in the cloud S Zeng, G Dai, H Sun, J Liu, S Li, G Ge, K Zhong, K Guo, Y Wang, H Yang ACM Transactions on Reconfigurable Technology and Systems (TRETS) 15 (3), 1-31, 2021 | 5 | 2021 |
Optimizing cnn accelerator with improved roofline model S Fang, S Zeng, Y Wang 2020 IEEE 33rd International System-on-Chip Conference (SOCC), 90-95, 2020 | 4 | 2020 |
Reliability evaluation of FPGA based pruned neural networks Z Gao, Y Yao, X Wei, T Yan, S Zeng, G Ge, Y Wang, A Ullah, P Reviriego Microelectronics Reliability 130, 114498, 2022 | 3 | 2022 |
INCAME: Interruptible CNN Accelerator for Multirobot Exploration J Yu, Z Xu, S Zeng, C Yu, J Qiu, Z Shen, Y Xu, G Dai, Y Wang, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 3 | 2021 |
Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems H Sun, Z Zhu, Y Cai, S Zeng, K Qiu, Y Wang, H Yang Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 2 | 2021 |
Enable efficient and flexible FPGA virtualization for deep learning in the cloud S Zeng, G Dai, K Zhong, H Sun, G Ge, K Guo, Y Wang, H Yang Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 2 | 2020 |
Ensemble of Pruned Networks for Reliable Classifiers Z Gao, H Zhang, X Wei, J Xiao, S Zeng, G Ge, Y Wang, P Reviriego 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 1 | 2021 |
3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud S Zeng, G Dai, H Sun, J Liu, H Zheng, Y Wu, F Zhang, X Yang, Y Cai, ... The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2021 | 1 | 2021 |
Efficient Computing Platform Design for Autonomous Driving Systems S Liang, C Tang, X Ning, S Zeng, J Yu, Y Wang, K Guo, D Yang, T Lu, ... Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 1 | 2021 |