| A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation X Huang, W Ruan, W Huang, G Jin, Y Dong, C Wu, S Bensalem, R Mu, ... Artificial Intelligence Review, 2024 | 67 | 2024 |
| Randomized adversarial training via taylor expansion G Jin, X Yi, D Wu, R Mu, X Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 22 | 2023 |
| A little energy goes a long way: Build an energy-efficient, accurate spiking neural network from convolutional neural network D Wu, X Yi, X Huang Frontiers in neuroscience 16, 759900, 2022 | 17* | 2022 |
| Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff D Wu, G Jin, H Yu, X Yi, X Huang arXiv preprint arXiv:2301.09522, 2023 | 4 | 2023 |
| Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network D Wu, Y Qi, K Cai, G Jin, X Yi, X Huang arXiv preprint arXiv:2405.00699, 2024 | | 2024 |
Xiaowei HuangProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk
