| Point cloud registration using representative overlapping points L Zhu, D Liu, C Lin, R Yan, F Gómez-Fernández, N Yang, Z Feng arXiv preprint arXiv:2107.02583, 2021 | 35 | 2021 |
| 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 | 18 | 2021 |
| GeneCGAN: A conditional generative adversarial network based on genetic tree for point cloud reconstruction C Chen, D Liu, C Xu, TK Truong Neurocomputing 462, 46-58, 2021 | 16 | 2021 |
| A robust and reliable point cloud recognition network under rigid transformation D Liu, C Chen, C Xu, Q Cai, L Chu, F Wen, R Qiu IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2022 | 15 | 2022 |
| A data streaming algorithm for detection of superpoints with small memory consumption L Zheng, D Liu, W Liu, Z Liu, Z Li, T Wu IEEE Communications Letters 21 (5), 1067-1070, 2017 | 14 | 2017 |
| Multi-view partial (mvp) point cloud challenge 2021 on completion and registration: Methods and results L Pan, T Wu, Z Cai, Z Liu, X Yu, Y Rao, J Lu, J Zhou, M Xu, X Luo, K Fu, ... arXiv preprint arXiv:2112.12053, 2021 | 10 | 2021 |
| 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 |
| Identifying semantic induction heads to understand in-context learning J Ren, Q Guo, H Yan, D Liu, X Qiu, D Lin arXiv preprint arXiv:2402.13055, 2024 | 6 | 2024 |
| Towards the difficulty for a deep neural network to learn concepts of different complexities D Liu, H Deng, X Cheng, Q Ren, K Wang, Q Zhang Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| SAKS: Sampling adaptive kernels from subspace for point cloud graph convolution C Chen, D Liu, C Xu, TK Truong IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 6013 …, 2023 | 6 | 2023 |
| Trap of feature diversity in the learning of mlps D Liu, S Wang, J Ren, K Wang, S Yin, H Deng, Q Zhang arXiv preprint arXiv:2112.00980, 2021 | 6 | 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 | 5 | 2024 |
| Self-supervised point cloud registration with deep versatile descriptors for intelligent driving D Liu, C Chen, C Xu, RC Qiu, L Chu IEEE Transactions on Intelligent Transportation Systems 24 (9), 9767-9779, 2023 | 5 | 2023 |
| SGCNN for 3D point cloud classification S Liu, D Liu, C Chen, C Xu Proceedings of the 2022 14th International Conference on Machine Learning …, 2022 | 4 | 2022 |
| Self-supervised point cloud registration with deep versatile descriptors D Liu, C Chen, C Xu, R Qiu, L Chu arXiv preprint arXiv:2201.10034, 2022 | 4 | 2022 |
| Towards tracing trustworthiness dynamics: Revisiting pre-training period of large language models C Qian, J Zhang, W Yao, D Liu, Z Yin, Y Qiao, Y Liu, J Shao arXiv preprint arXiv:2402.19465, 2024 | 3 | 2024 |
| PFMixer: Point cloud frequency mixing D Liu, S Liu, C Chen, Z Jiang, C Xu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 3 | 2022 |
| Trajectory data compression using Hopfield neural network C Chen, C Xu, C Xu, D Liu, L Tian 2018 International Conference on Computational Science and Computational …, 2018 | 2 | 2018 |
| Self-Supervised Multi-Frame Neural Scene Flow D Liu, D Liu, X Li, S Lin, B Wang, X Chang, L Chu arXiv preprint arXiv:2403.16116, 2024 | 1 | 2024 |
| PointFP: A Feature-Preserving Point Cloud Sampling D Liu, C Chen, S Liu, Z Jiang, C Xu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
Quanshi ZhangShanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
