| 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 | 18 | 2018 |
| An unbiased mcmc fpga-based accelerator in the land of custom precision arithmetic S Liu, G Mingas, CS Bouganis IEEE Transactions on Computers 66 (5), 745-758, 2016 | 18 | 2016 |
| An exact MCMC accelerator under custom precision regimes S Liu, G Mingas, CS Bouganis 2015 International Conference on Field Programmable Technology (FPT), 120-127, 2015 | 17 | 2015 |
| Parallel resampling for particle filters on FPGAs S Liu, G Mingas, CS Bouganis 2014 International Conference on Field-Programmable Technology (FPT), 191-198, 2014 | 17 | 2014 |
| Research on acoustic source localization using time difference of arrival measurements S Liu, C Zhang, Y Huang Proceedings of 2012 International Conference on Measurement, Information and …, 2012 | 17 | 2012 |
| 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 | 16 | 2018 |
| Reconfigurable acceleration of genetic sequence alignment: A survey of two decades of efforts HC Ng, S Liu, W Luk 2017 27th International Conference on Field Programmable Logic and …, 2017 | 15 | 2017 |
| Adam: Automated design analysis and merging for speeding up fpga development HC Ng, S Liu, W Luk Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 11 | 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 | 10 | 2019 |
| Hardware Compilation of Deep Neural Networks: An Overview R Zhao, S Liu, N Ho-Cheung, E Wang, JJ Davis, X Niu, X Wang, H Shi, ... The 29th Annual IEEE International Conference on Application-specific …, 2018 | 9 | 2018 |
| Towards efficient deep neural network training by FPGA-based batch-level parallelism C Luo, MK Sit, H Fan, S Liu, W Luk, C Guo Journal of Semiconductors 41 (2), 022403, 2020 | 7 | 2020 |
| Efficient weight reuse for large lstms Z Que, T Nugent, S Liu, L Tian, X Niu, Y Zhu, W Luk 2019 IEEE 30th International Conference on Application-specific Systems …, 2019 | 7 | 2019 |
| 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 | 7 | 2018 |
| Communication-Aware MCMC method for big data applications on FPGAs S Liu, CS Bouganis 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 6 | 2017 |
| Towards an Efficient Accelerator for DNN-Based Remote Sensing Image Segmentation on FPGAs S Liu, W Luk 2019 29th International Conference on Field Programmable Logic and …, 2019 | 4 | 2019 |
| Memory-efficient architecture for accelerating generative networks on fpga S Liu, C Zeng, H Fan, HC Ng, J Meng, Z Que, X Niu, W Luk 2018 International Conference on Field-Programmable Technology (FPT), 30-37, 2018 | 4 | 2018 |
| Self-map building in wireless sensor network based on TDOA measurements S Liu, Y Tang, C Zhang, S Yue 2012 IEEE International Conference on Multisensor Fusion and Integration for …, 2012 | 4 | 2012 |
| A low-power deconvolutional accelerator for convolutional neural network based segmentation on fpga S Liu, X Niu, W Luk Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 3 | 2018 |
| Optimizing CNN-based Hyperspectral Image Classification on FPGAs S Liu, RSW Chu, X Wang, W Luk International Symposium on Applied Reconfigurable Computing, 17-31, 2019 | 2 | 2019 |
| Acceleration of MCMC-based algorithms using reconfigurable logic S Liu Imperial College London, 2017 | 1 | 2017 |
Wayne LukProfessor of Computer Engineering, Imperial College LondonEmail confirmado em imperial.ac.uk
