| Eagleeye: Fast sub-net evaluation for efficient neural network pruning B Li, B Wu, J Su, G Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 236 | 2020 |
| Redundancy-reduced mobilenet acceleration on reconfigurable logic for imagenet classification J Su, J Faraone, J Liu, Y Zhao, DB Thomas, PHW Leong, PYK Cheung Applied Reconfigurable Computing. Architectures, Tools, and Applications …, 2018 | 79 | 2018 |
| Neural network based reinforcement learning acceleration on fpga platforms J Su, J Liu, DB Thomas, PYK Cheung ACM SIGARCH Computer Architecture News 44 (4), 68-73, 2017 | 52 | 2017 |
| Deductive reinforcement learning for visual autonomous urban driving navigation C Huang, R Zhang, M Ouyang, P Wei, J Lin, J Su, L Lin IEEE Transactions on Neural Networks and Learning Systems 32 (12), 5379-5391, 2021 | 41 | 2021 |
| Accuracy to throughput trade-offs for reduced precision neural networks on reconfigurable logic J Su, NJ Fraser, G Gambardella, M Blott, G Durelli, DB Thomas, ... Applied Reconfigurable Computing. Architectures, Tools, and Applications …, 2018 | 30 | 2018 |
| Scene-oriented hierarchical classification of blurry and noisy images L Dong, J Su, E Izquierdo IEEE transactions on image processing 21 (5), 2534-2545, 2012 | 17 | 2012 |
| Increasing network size and training throughput of FPGA restricted Boltzmann machines using dropout J Su, DB Thomas, PYK Cheung 2016 IEEE 24th Annual International Symposium on Field-Programmable Custom …, 2016 | 14 | 2016 |
| Artificial neural networks acceleration on field-programmable gate arrays considering model redundancy J Su Imperial College London, UK, 2018 | 3 | 2018 |
| Finding conspirators in the network via machine learning F Guo, J Su, J Gao UMAPJournal, 275, 2012 | 3 | 2012 |
| Hypergraph matching based on marginalized constrained compatibility J Su, L Dong, P Ren, ER Hancock Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 2 | 2012 |
| Hybrid and dynamic policy gradient optimization for bipedal robot locomotion. C Huang, J Su, Z Zhang, D Zhao, L Lin CoRR, 2021 | | 2021 |
| FNNP: Fast Neural Network Pruning Using Adaptive Batch Normalization B Li, B Wu, J Su, G Wang | | |
| Supplymentary for EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning B Li, B Wu, J Su, G Wang | | |
David ThomasUniversity of SouthamptonVerificeret mail på southampton.ac.uk
