| 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 | 94 | 2023 |
| Enhancing adversarial training with second-order statistics of weights G Jin, X Yi, W Huang, S Schewe, X Huang CVPR 2022, 2022 | 66 | 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 | 59 | 2020 |
| Randomized Adversarial Training via Taylor Expansion G Jin, X Yi, D Wu, R Mu, X Huang CVPR 2023, 2023 | 46 | 2023 |
| Machine Learning Safety X Huang, G Jin, W Ruan Machine Learning Safety, 3-13, 2023 | 38* | 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 | 34* | 2024 |
| SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability W Huang, X Zhao, G Jin, X Huang ICCV 2023, 2023 | 28 | 2023 |
| Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning R Mu, W Ruan, LS Marcolino, G Jin, Q Ni AAAI 2023, 2022 | 15 | 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 | 12 | 2024 |
| TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models L Zhang, N Xu, P Yang, G Jin, CC Huang, L Zhang ICCV 2023, 2023 | 10 | 2023 |
| Weight expansion: A new perspective on dropout and generalization G Jin, X Yi, P Yang, L Zhang, S Schewe, X Huang TMLR 2022, 2022 | 8 | 2022 |
| Optimising event-driven spiking neural network with regularisation and cutoff D Wu, G Jin, H Yu, X Yi, X Huang Frontiers in Neuroscience, 2023 | 6 | 2023 |
| 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 |
| 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 | 3 | 2024 |
| Neuronal Correlation: a Central Concept in Neural Network G Jin, X Yi, X Huang arXiv preprint arXiv:2201.09069, 2022 | 3 | 2022 |
| Class-Aware Cross Pseudo Supervision Framework for Semi-Supervised Multi-organ Segmentation in Abdominal CT Scans D Yang, H Zhao, G Jin, H Meng, L Zhang PRCV 2024, 2024 | 1 | 2024 |
| Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors T Lin, L Yu, G Jin, R Li, P Wu, L Zhang ECCV 2024, 2024 | 1 | 2024 |
| Enhancing Robust Fairness via Confusional Spectral Regularization G Jin, S Wu, J Liu, T Huang, R Mu ICLR 2025, 2025 | | 2025 |
| SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training T Huang, Z Zhu, G Jin, L Liu, Z Wang, S Liu ICLR 2025, 2025 | | 2025 |
| Invariant Correlation of Representation with Label G Jin, R Mu, X Yi, X Huang, L Zhang arXiv preprint arXiv:2407.01749, 2024 | | 2024 |
Xiaowei HuangProfessor of Computer Science, University of LiverpoolBestätigte E-Mail-Adresse bei liverpool.ac.uk