| 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, 2023 | 65 | 2023 |
| Enhancing adversarial training with second-order statistics of weights G Jin, X Yi, W Huang, S Schewe, X Huang CVPR 2022, 2022 | 53 | 2022 |
| How does weight correlation affect the generalisation ability of deep neural networks G Jin, X Yi, L Zhang, L Zhang, S Schewe, X Huang NeurIPS 2020, 2020 | 48 | 2020 |
| Machine Learning Safety X Huang, G Jin, W Ruan Machine Learning Safety, 3-13, 2023 | 30* | 2023 |
| Randomized Adversarial Training via Taylor Expansion G Jin, X Yi, D Wu, R Mu, X Huang CVPR 2023, 2023 | 21 | 2023 |
| SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability W Huang, X Zhao, G Jin, X Huang ICCV 2023, 2023 | 19 | 2023 |
| Position: Building Guardrails for Large Language Models Requires Systematic Design D Yi, R Mu, G Jin, Y Qi, J Hu, X Zhao, J Meng, W Ruan, X Huang ICML 2024, 2024 | 15* | 2024 |
| Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning R Mu, W Ruan, LS Marcolino, G Jin, Q Ni AAAI 2023, 2022 | 10 | 2022 |
| Formal verification of robustness and resilience of learning-enabled state estimation systems W Huang, Y Zhou, G Jin, Y Sun, J Meng, F Zhang, X Huang Neurocomputing 585, 127643, 2024 | 5* | 2024 |
| Weight expansion: A new perspective on dropout and generalization G Jin, X Yi, P Yang, L Zhang, S Schewe, X Huang Transactions on Machine Learning Research, 2022 | 5 | 2022 |
| Safeguarding Large Language Models: A Survey Y Dong, R Mu, Y Zhang, S Sun, T Zhang, C Wu, G Jin, Y Qi, J Hu, J Meng, ... arXiv preprint arXiv:2406.02622, 2024 | 4 | 2024 |
| 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 |
| TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models L Zhang, N Xu, P Yang, G Jin, CC Huang, L Zhang ICCV 2023, 2023 | 2 | 2023 |
| Neuronal Correlation: a Central Concept in Neural Network G Jin, X Yi, X Huang arXiv preprint arXiv:2201.09069, 2022 | 2 | 2022 |
| Invariant Correlation of Representation with Label G Jin, R Mu, X Yi, X Huang, L Zhang arXiv preprint arXiv:2407.01749, 2024 | | 2024 |
| 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 |
| Reliable deep neural networks with randomised weights G Jin PQDT-Global, 2023 | | 2023 |
Xiaowei HuangProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk