| A survey of FPGA-based neural network accelerator K Guo, S Zeng, J Yu, Y Wang, H Yang arXiv preprint arXiv:1712.08934, 2017 | 342 | 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 | 105 | 2019 |
| FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs S Zeng, J Liu, G Dai, X Yang, T Fu, H Wang, W Ma, H Sun, S Li, Z Huang, ... arXiv preprint arXiv:2401.03868, 2024 | 30 | 2024 |
| Exploring the potential of low-bit training of convolutional neural networks K Zhong, X Ning, G Dai, Z Zhu, T Zhao, S Zeng, Y Wang, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 25* | 2022 |
| 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 | 24 | 2022 |
| 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 | 23 | 2020 |
| 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 | 19 | 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 | 16 | 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 | 13 | 2020 |
| Serving multi-DNN workloads on FPGAs: A coordinated architecture, scheduling, and mapping perspective S Zeng, G Dai, N Zhang, X Yang, H Zhang, Z Zhu, H Yang, Y Wang IEEE Transactions on Computers 72 (5), 1314-1328, 2022 | 10 | 2022 |
| An efficient accelerator for point-based and voxel-based point cloud neural networks X Yang, T Fu, G Dai, S Zeng, K Zhong, K Hong, Y Wang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 9 | 2023 |
| CoGNN: An algorithm-hardware co-design approach to accelerate GNN inference with minibatch sampling K Zhong, S Zeng, W Hou, G Dai, Z Zhu, X Zhang, S Xiao, H Yang, Y Wang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | 9 | 2023 |
| 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, 2018 | 9 | 2018 |
| Systematic reliability evaluation of FPGA implemented CNN accelerators Z Gao, S Gao, Y Yao, Q Liu, S Zeng, G Ge, Y Wang, A Ullah, P Reviriego IEEE Transactions on Device and Materials Reliability 23 (1), 116-126, 2023 | 8 | 2023 |
| 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 | 8 | 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 |
| 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 | 5 | 2020 |
| DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search S Zeng, Z Zhu, J Liu, H Zhang, G Dai, Z Zhou, S Li, X Ning, Y Xie, H Yang, ... Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 4 | 2023 |
| NTGAT: A graph attention network accelerator with runtime node tailoring W Hou, K Zhong, S Zeng, G Dai, H Yang, Y Wang Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 4 | 2023 |
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaE-mail confirmado em mail.tsinghua.edu.cn
