| Deep neural network approximation for custom hardware: Where we've been, where we're going E Wang, JJ Davis, R Zhao, HC Ng, X Niu, W Luk, PYK Cheung, ... ACM Computing Surveys (CSUR) 52 (2), 1-39, 2019 | 213 | 2019 |
| LUTNet: Rethinking inference in FPGA soft logic E Wang, JJ Davis, PYK Cheung, GA Constantinides 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019 | 70 | 2019 |
| LUTNet: Learning FPGA configurations for highly efficient neural network inference E Wang, JJ Davis, PYK Cheung, GA Constantinides IEEE Transactions on Computers 69 (12), 1795-1808, 2020 | 53 | 2020 |
| Automatic generation of multi-precision multi-arithmetic CNN accelerators for FPGAs Y Zhao, X Gao, X Guo, J Liu, E Wang, R Mullins, PYK Cheung, ... 2019 International Conference on Field-Programmable Technology (ICFPT), 45-53, 2019 | 38 | 2019 |
| A PYNQ-based framework for rapid CNN prototyping E Wang, JJ Davis, PYK Cheung 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018 | 36 | 2018 |
| Nonideality‐Aware Training for Accurate and Robust Low‐Power Memristive Neural Networks D Joksas, E Wang, N Barmpatsalos, WH Ng, AJ Kenyon, ... Advanced Science 9 (17), 2105784, 2022 | 23 | 2022 |
| Accelerating recurrent neural networks for gravitational wave experiments Z Que, E Wang, U Marikar, E Moreno, J Ngadiuba, H Javed, ... 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 17 | 2021 |
| Hardware compilation of deep neural networks: An overview R Zhao, S Liu, HC Ng, E Wang, JJ Davis, X Niu, X Wang, H Shi, ... 2018 IEEE 29Th international conference on application-specific systems …, 2018 | 17 | 2018 |
| Enabling binary neural network training on the edge E Wang, JJ Davis, D Moro, P Zielinski, JJ Lim, C Coelho, S Chatterjee, ... Proceedings of the 5th international workshop on embedded and mobile deep …, 2021 | 14 | 2021 |
| Logic shrinkage: Learned FPGA netlist sparsity for efficient neural network inference E Wang, JJ Davis, GI Stavrou, PYK Cheung, GA Constantinides, ... Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022 | 9 | 2022 |
| Mitigating non-idealities of memristive-based artificial neural networks-an algorithmic approach A Mehonic, D Joksas, N Barmpatsalos, WH Ng, AJ Kenyon, E Wang, ... 2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM …, 2022 | 2 | 2022 |
| Accelerating position-aware top-k ListNet for ranking under custom precision regimes Q Li, E Wang, ST Fleming, DB Thomas, PYK Cheung 2019 29th international conference on field programmable logic and …, 2019 | 2 | 2019 |
| Enabling Binary Neural Network Training on the Edge E Wang, JJ Davis, D Moro, P Zielinski, JJ Lim, C Coelho, S Chatterjee, ... ACM Transactions on Embedded Computing Systems 22 (6), 1-19, 2023 | 1 | 2023 |
| Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks E Wang, M Auffret, GI Stavrou, PYK Cheung, GA Constantinides, ... ACM Transactions on Reconfigurable Technology and Systems 16 (4), 1-25, 2023 | | 2023 |
| FPL Demo: Logic Shrinkage: A Neural Architecture Search-Based Approach to FPGA Netlist Generation M Auffret, E Wang, JJ Davis 2022 32nd International Conference on Field-Programmable Logic and …, 2022 | | 2022 |
| IEEE: Accelerating Recurrent Neural Networks for Gravitational Wave Experiments Z Que, V Loncar, H Javed, E Wang, U Marikar, T Aarrestad, J Ngadiuba, ... | | 2021 |
| Rethinking binary neural network design for FPGA implementation E Wang Imperial College London, 2021 | | 2021 |
Peter Y K CheungProfessor of Digital Systems, Imperial College LondonVerified email at imperial.ac.uk
