| Interpretable CNNs for object classification Q Zhang, X Wang, YN Wu, H Zhou, SC Zhu IEEE transactions on pattern analysis and machine intelligence 43 (10), 3416 …, 2020 | 65 | 2020 |
| Building interpretable interaction trees for deep nlp models D Zhang, H Zhang, H Zhou, X Bao, D Huo, R Chen, X Cheng, M Wu, ... Proceedings of the AAAI conference on artificial intelligence 35 (16), 14328 …, 2021 | 39 | 2021 |
| Explaining generalization power of a dnn using interactive concepts H Zhou, H Zhang, H Deng, D Liu, W Shen, SH Chan, Q Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17105 …, 2024 | 12 | 2024 |
| Concept-level explanation for the generalization of a dnn H Zhou, H Zhang, H Deng, D Liu, W Shen, SH Chan, Q Zhang arXiv preprint arXiv:2302.13091, 2023 | 11 | 2023 |
| Explaining how a neural network play the go game and let people learn H Zhou, H Tang, M Li, H Zhang, Z Liu, Q Zhang arXiv preprint arXiv:2310.09838, 2023 | 5 | 2023 |
| Interpretability of neural networks based on game-theoretic interactions H Zhou, J Ren, H Deng, X Cheng, J Zhang, Q Zhang Machine Intelligence Research, 1-22, 2024 | 4 | 2024 |
