| Superpoint-guided semi-supervised semantic segmentation of 3d point clouds S Deng, Q Dong, B Liu, Z Hu 2022 International conference on robotics and automation (ICRA), 9214-9220, 2022 | 26 | 2022 |
| Hardness sampling for self-training based transductive zero-shot learning L Bo, Q Dong, Z Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 25 | 2021 |
| Zero-shot learning from adversarial feature residual to compact visual feature B Liu, Q Dong, Z Hu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11547 …, 2020 | 21 | 2020 |
| An iterative co-training transductive framework for zero shot learning B Liu, L Hu, Q Dong, Z Hu IEEE Transactions on Image Processing 30, 6943-6956, 2021 | 12 | 2021 |
| Language-level semantics conditioned 3d point cloud segmentation B Liu, S Deng, Q Dong, Z Hu arXiv preprint arXiv:2107.00430, 2021 | 6 | 2021 |
| Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector B Liu, Q Dong, Z Hu Knowledge-Based Systems 229, 107337, 2021 | 5 | 2021 |
| Rotation transformation network: Learning view-invariant point cloud for classification and segmentation S Deng, B Liu, Q Dong, Z Hu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 5 | 2021 |
| Comparison of it neural response statistics with simulations Q Dong, B Liu, Z Hu Frontiers in Computational Neuroscience 11, 60, 2017 | 3 | 2017 |
| Hardboost: boosting zero-shot learning with hard classes B Liu, L Hu, Z Hu, Q Dong arXiv preprint arXiv:2201.05479, 2022 | 2 | 2022 |
| Non-uniqueness phenomenon of object representation in modeling IT cortex by deep convolutional neural network (DCNN) Q Dong, B Liu, Z Hu Frontiers in Computational Neuroscience 14, 35, 2020 | 2 | 2020 |
