| Fine-grained leukocyte classification with deep residual learning for microscopic images F Qin, N Gao, Y Peng, Z Wu, S Shen, A Grudtsin Computer methods and programs in biomedicine 162, 243-252, 2018 | 101 | 2018 |
| Unsupervised co-segmentation of 3D shapes via affinity aggregation spectral clustering Z Wu, Y Wang, R Shou, B Chen, X Liu Computers & Graphics 37 (6), 628-637, 2013 | 58 | 2013 |
| Interactive shape co-segmentation via label propagation Z Wu, R Shou, Y Wang, X Liu Computers & Graphics 38, 248-254, 2014 | 47 | 2014 |
| PVT: Point‐voxel transformer for point cloud learning C Zhang, H Wan, X Shen, Z Wu International Journal of Intelligent Systems 37 (12), 11985-12008, 2022 | 25 | 2022 |
| Patchformer: An efficient point transformer with patch attention C Zhang, H Wan, X Shen, Z Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| Joint analysis of shapes and images via deep domain adaptation Z Wu, Y Zhang, M Zeng, F Qin, Y Wang Computers & Graphics 70, 140-147, 2018 | 10 | 2018 |
| Active 3-d shape cosegmentation with graph convolutional networks Z Wu, M Zeng, F Qin, Y Wang, J Kosinka IEEE computer graphics and applications 39 (2), 77-88, 2019 | 8 | 2019 |
| Patchformer: A versatile 3d transformer based on patch attention Z Cheng, H Wan, X Shen, Z Wu arXiv preprint arXiv:2111.00207 6 (7), 14, 2021 | 6 | 2021 |
| Efficient L0 resampling of point sets X Cheng, M Zeng, J Lin, Z Wu, X Liu Computer Aided Geometric Design 75, 101790, 2019 | 5 | 2019 |
| Graph-PBN: Graph-based parallel branch network for efficient point cloud learning C Zhang, H Chen, H Wan, P Yang, Z Wu Graphical Models 119, 101120, 2022 | 4 | 2022 |
| Spectral irradiance distribution in underwater light field generated by an LED light source P Yang, Z Wu, Y Chen, Y Guo, P Zhang, H Song Journal of Coastal Research 103 (SI), 453-457, 2020 | 3 | 2020 |
| Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images Q Ye, D Tu, F Qin, Z Wu, Y Peng, S Shen Journal of Intelligent & Fuzzy Systems 37 (5), 6971-6982, 2019 | 3 | 2019 |
| A deep reinforcement learning approach for autonomous car racing F Guo, Z Wu E-Learning and Games: 12th International Conference, Edutainment 2018, Xi'an …, 2019 | 2 | 2019 |
| Integrated modeling, simulation, and visualization for nanomaterials F Qin, H Xia, Y Peng, Z Wu Complexity 2018, 2018 | 2 | 2018 |
| Interactive optimization of near-isometric shape correspondence Z Wu, L Zhang, Z Yan, F Lu, Y Wang Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual …, 2014 | 2 | 2014 |
| Upsampling Autoencoder for Self-Supervised Point Cloud Learning C Zhang, J Shi, X Deng, Z Wu arXiv preprint arXiv:2203.10768, 2022 | 1 | 2022 |
| VH3D-LSFM: video-based human 3D pose estimation with long-term and short-term pose fusion mechanism W Deng, Y Zheng, H Li, X Wang, Z Wu, M Zeng Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020 …, 2020 | 1 | 2020 |
| Co-skeletons: Consistent curve skeletons for shape families Z Wu, X Chen, L Yu, A Telea, J Kosinka Computers & Graphics 90, 62-72, 2020 | 1 | 2020 |
| PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding H Zhou, X Peng, J Mao, Z Wu, M Zeng arXiv preprint arXiv:2211.12032, 2022 | | 2022 |
| SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction X Peng, Y Shen, H Wang, B Nie, Y Wang, Z Wu arXiv preprint arXiv:2208.09224, 2022 | | 2022 |
