Dynamic-ofa: Runtime dnn architecture switching for performance scaling on heterogeneous embedded platforms W Lou, L Xun, A Sabet, J Bi, J Hare, GV Merrett Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37 | 2021 |
Dynamic transformer for efficient machine translation on embedded devices H Parry, L Xun, A Sabet, J Bi, J Hare, GV Merrett 2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD), 1-6, 2021 | 8 | 2021 |
Analyzing Machine Learning Models with Gaussian Process for the Indoor Positioning System Y Xie, C Zhu, W Jiang, J Bi, Z Zhu Mathematical Problems in Engineering 2020, 2020 | 7 | 2020 |
A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization J Bi, SR Gunn PRICAI 2019, 337--349, 2019 | 4 | 2019 |
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization J Bi, SR Gunn ECML/PKDD 2021 12977, 135-150, 2021 | 3 | 2021 |
Sparse deep neural network optimization for embedded intelligence J Bi, SR Gunn International Journal on Artificial Intelligence Tools 29 (03n04), 2060002, 2020 | 3 | 2020 |
Sparse deep neural networks for embedded intelligence J Bi, SR Gunn 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 2 | 2018 |
GhostShiftAddNet: More Features from Energy-Efficient Operations J Bi, J Hare, GV Merrett BMVC 2021, 2021 | 1 | 2021 |
Improving training and inference for embedded machine learning J Bi University of Southampton, 2020 | 1 | 2020 |
Dataset for" GhostShiftAddNet: More Features from Energy-Efficient Operations" J Bi, J Hare, G Merrett University of Southampton, 2021 | | 2021 |
Dataset for" Dynamic Transformer for Efficient Machine Translation on Embedded Devices" H Parry, L Xun, M Sabetsarvestani, J Bi, J Hare, G Merrett University of Southampton, 2021 | | 2021 |