| 3d-rotation-equivariant quaternion neural networks W Shen, B Zhang, S Huang, Z Wei, Q Zhang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 53 | 2020 |
| Interpretable compositional convolutional neural networks W Shen, Z Wei, S Huang, B Zhang, J Fan, P Zhao, Q Zhang arXiv preprint arXiv:2107.04474, 2021 | 28 | 2021 |
| Three-way decisions based blocking reduction models in hierarchical classification W Shen, Z Wei, Q Li, H Zhang, D Miao Information Sciences 523, 63-76, 2020 | 22 | 2020 |
| Explaining the pointnet: What has been learned inside the pointnet? B Zhang, S Huang, W Shen, Z Wei CVPR Workshops, 71-74, 2019 | 18 | 2019 |
| Interpreting representation quality of dnns for 3d point cloud processing W Shen, Q Ren, D Liu, Q Zhang Advances in Neural Information Processing Systems 34, 8857-8870, 2021 | 16 | 2021 |
| Improved general attribute reduction algorithms B Li, Z Wei, D Miao, N Zhang, W Shen, C Gong, H Zhang, L Sun Information Sciences 536, 298-316, 2020 | 11 | 2020 |
| 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 | 9 | 2023 |
| Defects of convolutional decoder networks in frequency representation L Tang, W Shen, Z Zhou, Y Chen, Q Zhang arXiv preprint arXiv:2210.09020, 2022 | 9 | 2022 |
| Travel pattern modelling and future travel behaviour prediction based on GMM and GPR W Shen, Z Wei, C Yang, R Zhang International Journal of Simulation and Process Modelling 13 (6), 548-556, 2018 | 8 | 2018 |
| Where we have arrived in proving the emergence of sparse symbolic concepts in ai models Q Ren, J Gao, W Shen, Q Zhang arXiv preprint arXiv:2305.01939, 2023 | 7 | 2023 |
| A claim approach to understanding the pointnet S Huang, B Zhang, W Shen, Z Wei Proceedings of the 2019 2nd International Conference on Algorithms …, 2019 | 7 | 2019 |
| Verifiability and predictability: Interpreting utilities of network architectures for point cloud processing W Shen, Z Wei, S Huang, B Zhang, P Chen, P Zhao, Q Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5 | 2021 |
| A self-adaptive cascade ConvNets model based on label relation mining Z Wei, W Shen, C Zhao, D Miao Neurocomputing 328, 29-38, 2019 | 4 | 2019 |
| 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 |
| Selective feature fusion based adaptive image segmentation algorithm Q Li, Z Wei, W Shen Advances in Multimedia 2018, 2018 | 3 | 2018 |
| A self-adaptive cascade convnets model based on three-way decision theory W Shen, Z Wei, C Zhao, D Miao Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China …, 2017 | 3 | 2017 |
| Rotation-equivariant quaternion neural networks for 3d point cloud processing W Shen, Z Wei, Q Ren, B Zhang, S Huang, J Fan, Q Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 2 | 2024 |
| Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts? W Shen, L Cheng, Y Yang, M Li, Q Zhang arXiv preprint arXiv:2304.01083, 2023 | 1 | 2023 |
| Clarifying the Behavior and the Difficulty of Adversarial Training X Cheng, H Zhang, Y Xin, W Shen, Q Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11507 …, 2024 | | 2024 |
| 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 | | 2024 |
