| Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian, D Dou Knowledge and Information Systems 64 (12), 3197-3234, 2022 | 228 | 2022 |
| Tensor graph convolutional networks for text classification X Liu, X You, X Zhang, J Wu, P Lv Proceedings of the AAAI conference on artificial intelligence 34 (05), 8409-8416, 2020 | 225 | 2020 |
| Medical exam question answering with large-scale reading comprehension X Zhang, J Wu, Z He, X Liu, Y Su Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 54 | 2018 |
| Master clinical medical knowledge at certificated-doctor-level with deep learning model J Wu, X Liu, X Zhang, Z He, P Lv Nature communications 9 (1), 4352, 2018 | 28 | 2018 |
| Learning conceptual-contextual embeddings for medical text X Zhang, D Dou, J Wu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9579-9586, 2020 | 15 | 2020 |
| Label-guided learning for text classification X Liu, S Wang, X Zhang, X You, J Wu, D Dou arXiv preprint arXiv:2002.10772, 2020 | 11 | 2020 |
| Feature forgetting in continual representation learning X Zhang, D Dou, J Wu arXiv preprint arXiv:2205.13359, 2022 | 4 | 2022 |
| Practical assessment of generalization performance robustness for deep networks via contrastive examples X Wu, X Li, H Xiong, X Zhang, S Huang, D Dou arXiv preprint arXiv:2106.10653, 2021 | 3 | 2021 |
| Measuring information transfer in neural networks X Zhang, X Li, D Dou, J Wu arXiv preprint arXiv:2009.07624, 2020 | 3 | 2020 |
| Delta embedding learning X Zhang, J Wu, D Dou arXiv preprint arXiv:1812.04160, 2018 | 2 | 2018 |
| Model information as an analysis tool in deep learning X Zhang, D Hu, X Li, D Dou, J Wu | | 2020 |
| Information distance for neural network functions X Zhang, D Dou, J Wu | | 2020 |
| Language-independent Cross-lingual Contextual Representations X Zhang, S Wang, D Dou, X Liu, TH Nguyen, J Wu | | 2019 |
