| Discrimination-aware channel pruning for deep neural networks Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu Advances in neural information processing systems 31, 2018 | 696 | 2018 |
| Perception-aware Multi-sensor Fusion for 3D LiDAR Semantic Segmentation Z Zhuang, R Li, K Jia, Q Wang, Y Li, M Tan arXiv preprint arXiv:2106.15277, 2021 | 123 | 2021 |
| Discrimination-aware network pruning for deep model compression J Liu, B Zhuang, Z Zhuang, Y Guo, J Huang, J Zhu, M Tan IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4035-4051, 2021 | 109 | 2021 |
| Das: Densely-anchored sampling for deep metric learning L Liu, S Huang, Z Zhuang, R Yang, M Tan, Y Wang European Conference on Computer Vision, 399-417, 2022 | 13 | 2022 |
| Cpcm: Contextual point cloud modeling for weakly-supervised point cloud semantic segmentation L Liu, Z Zhuang, S Huang, X Xiao, T Xiang, C Chen, J Wang, M Tan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Contrastive Vision-Language Alignment Makes Efficient Instruction Learner L Liu, X Sun, T Xiang, Z Zhuang, L Yin, M Tan arXiv preprint arXiv:2311.17945, 2023 | 1 | 2023 |
| Towards Compact and Robust Model Learning Under Dynamically Perturbed Environments H Luo, Z Zhuang, Y Li, M Tan, C Chen, J Zhang IEEE Transactions on Circuits and Systems for Video Technology, 2023 | | 2023 |
| CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (Supplementary Materials) L Liu, Z Zhuang, SHXXT Xiang, CCJ Wang, M Tan | | |
| Supplementary Material: Discrimination-aware Channel Pruning for Deep Neural Networks Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu | | |
| Supplementary Material for “Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation” Z Zhuang, R Li, KJQWY Li, M Tan | | |
