| 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 | 244 | 2019 |
| Optimizing CNN-based object detection algorithms on embedded FPGA platforms R Zhao, X Niu, Y Wu, W Luk, Q Liu Applied Reconfigurable Computing: 13th International Symposium, ARC 2017 …, 2017 | 106 | 2017 |
| Optimizing CNN-based segmentation with deeply customized convolutional and deconvolutional architectures on FPGA S Liu, H Fan, X Niu, H Ng, Y Chu, W Luk ACM Transactions on Reconfigurable Technology and Systems (TRETS) 11 (3), 1-22, 2018 | 92 | 2018 |
| A real-time object detection accelerator with compressed SSDLite on FPGA H Fan, S Liu, M Ferianc, HC Ng, Z Que, S Liu, X Niu, W Luk 2018 International conference on field-programmable technology (FPT), 14-21, 2018 | 82 | 2018 |
| Towards efficient convolutional neural network for domain-specific applications on FPGA R Zhao, HC Ng, W Luk, X Niu 2018 28th International Conference on Field Programmable Logic and …, 2018 | 55 | 2018 |
| F-E3D: FPGA-based acceleration of an efficient 3D convolutional neural network for human action recognition H Fan, C Luo, C Zeng, M Ferianc, Z Que, S Liu, X Niu, W Luk 2019 IEEE 30th international conference on Application-specific Systems …, 2019 | 54 | 2019 |
| Real-time anomaly detection for flight testing using AutoEncoder and LSTM Z Que, Y Liu, C Guo, X Niu, Y Zhu, W Luk 2019 international conference on field-programmable technology (ICFPT), 379-382, 2019 | 50 | 2019 |
| Hardware acceleration for machine learning R Zhao, W Luk, X Niu, H Shi, H Wang 2017 IEEE computer society annual symposium on VLSI (ISVLSI), 645-650, 2017 | 50 | 2017 |
| F-C3D: FPGA-based 3-dimensional convolutional neural network H Fan, X Niu, Q Liu, W Luk 2017 27th International Conference on Field Programmable Logic and …, 2017 | 41 | 2017 |
| Toward full-stack acceleration of deep convolutional neural networks on FPGAs S Liu, H Fan, M Ferianc, X Niu, H Shi, W Luk IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3974-3987, 2021 | 40 | 2021 |
| Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only) R Zhao, X Niu, W Luk Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 39 | 2018 |
| Optimizing reconfigurable recurrent neural networks Z Que, H Nakahara, E Nurvitadhi, H Fan, C Zeng, J Meng, X Niu, W Luk 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020 | 37 | 2020 |
| Reconfigurable acceleration of 3D-CNNs for human action recognition with block floating-point representation H Fan, HC Ng, S Liu, Z Que, X Niu, W Luk 2018 28th International Conference on Field Programmable Logic and …, 2018 | 37 | 2018 |
| Exploiting run-time reconfiguration in stencil computation X Niu, Q Jin, W Luk, Q Liu, O Pell 22nd International Conference on Field Programmable Logic and Applications …, 2012 | 37 | 2012 |
| Mapping large LSTMs to FPGAs with weight reuse Z Que, Y Zhu, H Fan, J Meng, X Niu, W Luk Journal of Signal Processing Systems 92, 965-979, 2020 | 34 | 2020 |
| On the use of programmable hardware and reduced numerical precision in Earth‐system modeling PD Düben, FP Russell, X Niu, W Luk, TN Palmer Journal of Advances in Modeling Earth Systems 7 (3), 1393-1408, 2015 | 34 | 2015 |
| FPGA-based acceleration for Bayesian convolutional neural networks H Fan, M Ferianc, Z Que, S Liu, X Niu, MRD Rodrigues, W Luk IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 32 | 2022 |
| Reconfiguring distributed applications in FPGA accelerated cluster with wireless networking XY Niu, KH Tsoi, W Luk 2011 21st International Conference on Field Programmable Logic and …, 2011 | 30 | 2011 |
| High-performance FPGA-based accelerator for Bayesian neural networks H Fan, M Ferianc, M Rodrigues, H Zhou, X Niu, W Luk 2021 58th ACM/IEEE Design Automation Conference (DAC), 1063-1068, 2021 | 29 | 2021 |
| Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures FP Russell, PD Düben, X Niu, W Luk, TN Palmer Computer Physics Communications 221, 160-173, 2017 | 27 | 2017 |
Wayne LukProfessor of Computer Engineering, Imperial College LondonVerifisert e-postadresse på imperial.ac.uk
