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Fan Hongxiang
Fan Hongxiang
Ph.D. Student in Computing Department, Imperial College
Email confirmado em imperial.ac.uk - Página inicial
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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
502018
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
452018
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
362020
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
302019
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
242017
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
192020
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
182020
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
162018
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
142018
Improving performance estimation for FPGA-based accelerators for convolutional neural networks
M Ferianc, H Fan, RSW Chu, J Stano, W Luk
International Symposium on Applied Reconfigurable Computing, 3-13, 2020
132020
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
92020
High-Performance FPGA-based Accelerator for Bayesian Neural Networks
H Fan, M Ferianc, M Rodrigues, H Zhou, X Niu, W Luk
DAC'21, 2021
72021
Static block floating-point quantization for convolutional neural networks on FPGA
H Fan, G Wang, M Ferianc, X Niu, W Luk
2019 International Conference on Field-Programmable Technology (ICFPT), 28-35, 2019
72019
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), 20-28, 2020
62020
Vinnas: Variational inference-based neural network architecture search
M Ferianc, H Fan, M Rodrigues
arXiv preprint arXiv:2007.06103, 2020
62020
Improving Performance Estimation for Design Space Exploration for Convolutional Neural Network Accelerators
M Ferianc, H Fan, D Manocha, H Zhou, S Liu, X Niu, W Luk
Electronics 10 (4), 520, 2021
42021
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, 2021
32021
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator
H Fan, M Ferianc, Z Que, H Li, S Liu, X Niu, W Luk
ASP-DAC'22, 2021
22021
Quantum Most-Significant Digit-First Addition
H Li, H Fan, J Liang
2021 12th International Green and Sustainable Computing Conference (IGSC), 1-8, 2021
22021
Acceleration of 2D and 3D CNNs on FPGAs Using Static Block Floating Point
H Fan, S Liu, Z Que, X Niu, W Luk
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
2*2021
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