| Imitation learning: Progress, taxonomies and challenges B Zheng, S Verma, J Zhou, IW Tsang, F Chen IEEE Transactions on Neural Networks and Learning Systems, 2022 | 102 | 2022 |
| Imitation learning: Progress, taxonomies and opportunities B Zheng, S Verma, J Zhou, I Tsang, F Chen arXiv preprint arXiv:2106.12177, 2021 | 26 | 2021 |
| Ganexplainer: Gan-based graph neural networks explainer Y Li, J Zhou, B Zheng, F Chen arXiv preprint arXiv:2301.00012, 2022 | 4 | 2022 |
| Effects of Uncertainty and Knowledge Graph on Perception of Fairness J Zhou, B Zheng, F Chen Companion Proceedings of the 28th International Conference on Intelligent …, 2023 | 1 | 2023 |
| Reliable and Faithful Generative Explainers for Graph Neural Networks Y Li, J Zhou, B Zheng, N Shafiabady, F Chen Machine Learning and Knowledge Extraction 6 (4), 2913-2929, 2024 | | 2024 |
| Genetic Imitation Learning by Reward Extrapolation B Zheng, J Zhou, J Ma, F Chen 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Interpretable Robotic Manipulation from Language B Zheng, J Zhou, F Chen arXiv preprint arXiv:2405.17047, 2024 | | 2024 |
| Explaining Imitation Learning Through Frames B Zheng, J Zhou, C Liu, Y Li, F Chen IEEE Intelligent Systems, 2024 | | 2024 |
