| A parameterisable FPGA-tailored architecture for YOLOv3-tiny Z Yu, CS Bouganis International Symposium on Applied Reconfigurable Computing, 330-344, 2020 | 72 | 2020 |
| 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 | 38 | 2023 |
| 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 | 16 | 2022 |
| 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 | 12 | 2023 |
| 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 | 5 | 2023 |
| Streamsvd: Low-rank approximation and streaming accelerator co-design Z Yu, CS Bouganis 2021 International Conference on Field-Programmable Technology (ICFPT), 1-9, 2021 | 5 | 2021 |
| A Dataflow Compiler for Efficient LLM Inference using Custom Microscaling Formats J Cheng, C Zhang, Z Yu, CS Bouganis, GA Constantinides, Y Zhao arXiv preprint arXiv:2307.15517, 2023 | 4 | 2023 |
| MASE: An Efficient Representation for Software-Defined ML Hardware System Exploration C Zhang, J Cheng, Z Yu, Y Zhao NeurIPS 2023 Workshop on Machine Learning Systems (MLSys), 2023 | 4 | 2023 |
| Auto WS: Automate Weights Streaming in Layer-Wise Pipelined DNN Accelerators Z Yu, CS Bouganis 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | 3 | 2024 |
| SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction P Toupas, Z Yu, CS Bouganis, D Tzovaras 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom …, 2024 | 2 | 2024 |
| 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, ... CoRR, 2023 | 2 | 2023 |
| From Loop Nests to Silicon: Mapping AI Workloads onto AMD NPUs with MLIR-AIR E Wang, S Bayliss, A Bisca, Z Blair, S Chowdhary, K Denolf, J Fifield, ... arXiv preprint arXiv:2510.14871, 2025 | 1 | 2025 |
| HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator Z Yu, S Sreeram, K Agrawal, J Wu, A Montgomerie-Corcoran, C Zhang, ... | 1 | 2024 |
| ITERA-LLM: Boosting Sub-8-Bit Large Language Model Inference via Iterative Tensor Decomposition Y Huang, K Zheng, Z Yu, CS Bouganis 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom …, 2025 | | 2025 |
| 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 |
