| Explaining Knowledge Distillation by Quantifying the Knowledge X Cheng, Z Rao, Y Chen, Q Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 127 | 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 | 34 | 2021 |
| A unified game-theoretic interpretation of adversarial robustness J Ren, D Zhang, Y Wang, L Chen, Z Zhou, Y Chen, X Cheng, X Wang, ... arXiv preprint arXiv:2111.03536 4, 2021 | 23 | 2021 |
| Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification Q Zhang, X Cheng, Y Chen, Z Rao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 22 | 2022 |
| A Game-Theoretic Taxonomy of Visual Concepts in DNNs X Cheng, C Chu, Y Zheng, J Ren, Q Zhang arXiv preprint arXiv:2106.10938, 2021 | 20 | 2021 |
| Game-theoretic interactions of different orders H Zhang, X Cheng, Y Chen, Q Zhang arXiv preprint arXiv:2010.14978, 2020 | 12 | 2020 |
| Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness J Ren, D Zhang, Y Wang, L Chen, Z Zhou, Y Chen, X Cheng, X Wang, ... Advances in Neural Information Processing Systems 34, 3797-3810, 2021 | 11 | 2021 |
| Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability Q Zhang, X Wang, J Ren, X Cheng, S Lin, Y Wang, X Zhu arXiv preprint arXiv:2207.11694, 2022 | 8 | 2022 |
| A Hypothesis for the Aesthetic Appreciation in Neural Networks X Cheng, X Wang, H Xue, Z Liang, Q Zhang arXiv preprint arXiv:2108.02646, 2021 | 7 | 2021 |
| Game-theoretic understanding of adversarially learned features J Ren, D Zhang, Y Wang, L Chen, Z Zhou, X Cheng, X Wang, Y Chen, ... arXiv preprint arXiv:2103.07364, 2021 | 6 | 2021 |
| Why Adversarial Training of ReLU Networks Is Difficult? X Cheng, H Zhang, Y Xin, W Shen, J Ren, Q Zhang arXiv preprint arXiv:2205.15130, 2022 | 3 | 2022 |
| Rotation-Equivariant Neural Networks for Privacy Protection H Zhang, Y Chen, H Ma, X Cheng, Q Ren, L Xiang, J Shi, Q Zhang arXiv preprint arXiv:2006.13016, 2020 | 3 | 2020 |
| A HYPOTHESIS FOR THE COGNITIVE DIFFICULTY OF IMAGES X Cheng, X Wang, H Xue, Z Liang, X Jin, Q Zhang | | 2021 |
| Formulating and Proving the Trend of DNNs Learning Simple Concepts D Liu, H Deng, X Cheng, Q Ren, K Wang, Q Zhang | | |
