| Dynamic channel pruning: Feature boosting and suppression X Gao, Y Zhao, L Dudziak, R Mullins, C Xu International Conference on Learning Representations, 2019 | 371 | 2019 |
| Pay attention to features, transfer learn faster CNNs K Wang, X Gao, Y Zhao, X Li, D Dou, CZ Xu International conference on learning representations, 2019 | 121 | 2019 |
| LAFEAT: Piercing through adversarial defenses with latent features Y Yu, X Gao, CZ Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 48 | 2021 |
| Automatic generation of multi-precision multi-arithmetic CNN accelerators for FPGAs Y Zhao, X Gao, X Guo, J Liu, E Wang, R Mullins, PYK Cheung, ... 2019 International Conference on Field-Programmable Technology (ICFPT), 45-53, 2019 | 44 | 2019 |
| Blackbox attacks on reinforcement learning agents using approximated temporal information Y Zhao, I Shumailov, H Cui, X Gao, R Mullins, R Anderson 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems …, 2020 | 37 | 2020 |
| Probabilistic dual network architecture search on graphs Y Zhao, D Wang, X Gao, R Mullins, P Lio, M Jamnik arXiv preprint arXiv:2003.09676, 2020 | 33 | 2020 |
| Focused quantization for sparse CNNs Y Zhao, X Gao, D Bates, R Mullins, CZ Xu Advances in Neural Information Processing Systems 32, 2019 | 29 | 2019 |
| Automatically optimizing the latency, area, and accuracy of c programs for high-level synthesis X Gao, J Wickerson, GA Constantinides Proceedings of the 2016 ACM/SIGDA International Symposium on Field …, 2016 | 24 | 2016 |
| SOAP: structural optimization of arithmetic expressions for high-level synthesis X Gao, S Bayliss, GA Constantinides 2013 International Conference on Field-Programmable Technology (FPT), 112-119, 2013 | 24 | 2013 |
| Spatiotemporal data fusion in graph convolutional networks for traffic prediction B Zhao, X Gao, J Liu, J Zhao, C Xu Ieee Access 8, 76632-76641, 2020 | 23 | 2020 |
| Learning the unlearnable: Adversarial augmentations suppress unlearnable example attacks T Qin, X Gao, J Zhao, K Ye, CZ Xu arXiv preprint arXiv:2303.15127, 2023 | 22 | 2023 |
| Advdiffuser: Natural adversarial example synthesis with diffusion models X Chen, X Gao, J Zhao, K Ye, CZ Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 17 | 2023 |
| Mayo: A framework for auto-generating hardware friendly deep neural networks Y Zhao, X Gao, R Mullins, C Xu Proceedings of the 2nd International Workshop on Embedded and Mobile Deep …, 2018 | 14 | 2018 |
| Adaptive channel sparsity for federated learning under system heterogeneity D Liao, X Gao, Y Zhao, CZ Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Metro OD matrix prediction based on multi-view passenger flow evolution trend modeling F Zheng, J Zhao, J Ye, X Gao, K Ye, C Xu IEEE Transactions on Big Data 9 (3), 991-1003, 2022 | 8 | 2022 |
| Sitatapatra: Blocking the transfer of adversarial samples I Shumailov, X Gao, Y Zhao, R Mullins, R Anderson, CZ Xu arXiv preprint arXiv:1901.08121, 2019 | 8 | 2019 |
| Numerical program optimization for high-level synthesis X Gao, GA Constantinides Proceedings of the 2015 ACM/SIGDA International Symposium on Field …, 2015 | 8 | 2015 |
| APBench: A unified benchmark for availability poisoning attacks and defenses T Qin, X Gao, J Zhao, K Ye, CZ Xu arXiv preprint arXiv:2308.03258, 2023 | 7 | 2023 |
| MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack Y Yu, X Gao, CZ Xu Advances in Neural Information Processing Systems, 2022 | 6 | 2022 |
| Improving few-shot image classification with self-supervised learning S Deng, D Liao, X Gao, J Zhao, K Ye International Conference on Cloud Computing, 54-68, 2022 | 5 | 2022 |
Cheng-Zhong Xu, IEEE FellowUniversity of Macau, Macau SAR, ChinaDirección de correo verificada de um.edu.mo
