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Shulin Zeng
Shulin Zeng
Ph.D Candidate, Tsinghua University
Verified email at mails.tsinghua.edu.cn
Title
Cited by
Cited by
Year
A survey of FPGA-based neural network accelerator
K Guo, S Zeng, J Yu, Y Wang, H Yang
arXiv preprint arXiv:1712.08934, 2017
3302017
[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
1022019
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
222020
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
212022
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
19*2022
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
162022
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
162018
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
102020
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
72024
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
72020
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
72018
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
62022
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
62019
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
52023
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
52022
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
42021
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
42020
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
32023
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
32023
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
32021
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