| 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 | 102 | 2018 |
| 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 | 97 | 2022 |
| 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 | 87 | 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 | 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 | 56 | 2019 |
| 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 | 54 | 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 | 44 | 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 | 41 | 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 (9), 965-979, 2020 | 40 | 2020 |
| 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 | 38 | 2021 |
| Optimizing Reconfigurable Recurrent Neural Networks. Z Que, H Nakahara, E Nurvitadhi, H Fan, C Zeng, J Meng, X Niu, W Luk FCCM, 10-18, 2020 | 38 | 2020 |
| 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 | 31 | 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 | 30 | 2018 |
| 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 | 29 | 2018 |
| 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 | 28 | 2021 |
| LL-GNN: Low latency graph neural networks on FPGAs for high energy physics Z Que, H Fan, M Loo, H Li, M Blott, M Pierini, A Tapper, W Luk ACM Transactions on Embedded Computing Systems 23 (2), 1-28, 2024 | 27 | 2024 |
| 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 | 27 | 2019 |
| FPGA accelerated post-quantum cryptography H Li, Y Tang, Z Que, J Zhang IEEE Transactions on Nanotechnology 21, 685-691, 2022 | 26 | 2022 |
| Algorithm and hardware co-design for reconfigurable cnn accelerator H Fan, M Ferianc, Z Que, H Li, S Liu, X Niu, W Luk 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 250-255, 2022 | 25 | 2022 |
| Ultrafast jet classification at the HL-LHC P Odagiu, Z Que, J Duarte, J Haller, G Kasieczka, A Lobanov, V Loncar, ... Machine Learning: Science and Technology 5 (3), 035017, 2024 | 24 | 2024 |
Wayne LukProfessor of Computer Engineering, Imperial College LondonVerified email at imperial.ac.uk
