| 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 | 66 | 2018 |
| An efficient convolutional neural network for small traffic sign detection S Song, Z Que, J Hou, S Du, Y Song Journal of Systems Architecture 97, 269-277, 2019 | 57 | 2019 |
| 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 | 42 | 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 | 35 | 2019 |
| Applications and techniques for fast machine learning in science AMC Deiana, N Tran, J Agar, M Blott, G Di Guglielmo, J Duarte, P Harris, ... Frontiers in big Data 5, 787421, 2022 | 34 | 2022 |
| High-throughput convolutional neural network on an FPGA by customized JPEG compression H Nakahara, Z Que, W Luk 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020 | 30 | 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 | 26 | 2018 |
| 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 | 25 | 2020 |
| FPGA acceleration of LSTM based on data for test flight Z Sun, Y Zhu, Y Zheng, H Wu, Z Cao, P Xiong, J Hou, T Huang, Z Que 2018 IEEE International Conference on Smart Cloud (SmartCloud), 1-6, 2018 | 25 | 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 | 22 | 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 | 19 | 2019 |
| Application of transfer learning in continuous time series for anomaly detection in commercial aircraft flight data P Xiong, Y Zhu, Z Sun, Z Cao, M Wang, Y Zheng, J Hou, T Huang, Z Que 2018 IEEE International Conference on Smart Cloud (SmartCloud), 13-18, 2018 | 19 | 2018 |
| 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 | 17 | 2018 |
| 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 | 16 | 2021 |
| Implementing medical CT algorithms on stand-alone FPGA based systems using an efficient workflow with SysGen and simulink Z Que, Y Zhu, X Wang, J Yu, T Huang, Z Zheng, L Yang, F Zhao, Y Fu 2010 10th IEEE International Conference on Computer and Information …, 2010 | 15 | 2010 |
| Optimizing FPGA-based CNN accelerator using differentiable neural architecture search H Fan, M Ferianc, S Liu, Z Que, X Niu, W Luk 2020 IEEE 38th International Conference on Computer Design (ICCD), 465-468, 2020 | 11 | 2020 |
| An overlay for rapid fpga debug of machine learning applications DH Noronha, R Zhao, Z Que, J Goeders, W Luk, S Wilton 2019 International Conference on Field-Programmable Technology (ICFPT), 135-143, 2019 | 10 | 2019 |
| Recurrent neural networks with column-wise matrix–vector multiplication on FPGAs Z Que, H Nakahara, E Nurvitadhi, A Boutros, H Fan, C Zeng, J Meng, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (2), 227-237, 2021 | 9 | 2021 |
| A Reconfigurable Multithreaded Accelerator for Recurrent Neural Networks Z Que, H Nakahara, H Fan, J Meng, KH Tsoi, X Niu, E Nurvitadhi, W Luk 2020 International Conference on Field-Programmable Technology (ICFPT), 2020 | 9 | 2020 |
| Revealing feasibility of FMM on ASIC: Efficient implementation of n-body problem on FPGA Z Zheng, Y Zhu, X Wang, Z Que, T Huang, X Yin, H Wang, G Rong, M Qiu 2010 13th IEEE International Conference on Computational Science and …, 2010 | 8 | 2010 |
Wayne LukProfessor of Computer Engineering, Imperial College LondonVerified email at imperial.ac.uk
