Παρακολούθηση
Zhewen Yu
Zhewen Yu
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα imperial.ac.uk
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
A parameterisable FPGA-tailored architecture for YOLOv3-tiny
Z Yu, CS Bouganis
Applied Reconfigurable Computing. Architectures, Tools, and Applications …, 2020
432020
Samo: Optimised mapping of convolutional neural networks to streaming architectures
A Montgomerie-Corcoran, Z Yu, CS Bouganis
2022 32nd International Conference on Field-Programmable Logic and …, 2022
102022
Svd-nas: Coupling low-rank approximation and neural architecture search
Z Yu, CS Bouganis
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
52023
SATAY: a streaming architecture toolflow for accelerating YOLO Models on FPGA Devices
A Montgomerie-Corcoran, P Toupas, Z Yu, CS Bouganis
2023 International Conference on Field Programmable Technology (ICFPT), 179-187, 2023
22023
Streamsvd: Low-rank approximation and streaming accelerator co-design
Z Yu, CS Bouganis
2021 International Conference on Field-Programmable Technology (ICFPT), 1-9, 2021
22021
AutoWS: Automate Weights Streaming in Layer-wise Pipelined DNN Accelerators
Z Yu, CS Bouganis
arXiv preprint arXiv:2311.04764, 2023
12023
PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration
A Montgomerie-Corcoran, Z Yu, J Cheng, CS Bouganis
2023 33rd International Conference on Field-Programmable Logic and …, 2023
12023
Fast prototyping next-generation accelerators for new ml models using mase: Ml accelerator system exploration
J Cheng, C Zhang, Z Yu, A Montgomerie-Corcoran, C Xiao, CS Bouganis, ...
arXiv preprint arXiv:2307.15517, 2023
12023
SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction
P Toupas, Z Yu, CS Bouganis, D Tzovaras
arXiv preprint arXiv:2403.18921, 2024
2024
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition
Z Yu, CS Bouganis
2023 33rd International Conference on Field-Programmable Logic and …, 2023
2023
MASE: An Efficient Representation for Software-Defined ML Hardware System Exploration
C Zhang, J Cheng, Z Yu, Y Zhao
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