| Learn more from less: Generalized zero-shot learning with severely limited labeled data Z Lu, Z Lu, Y Yu, Z Wang Neurocomputing 477, 25-35, 2022 | 7 | 2022 |
| A survey of face anti-spoofing Z LU, Z Lu, F Shen, Z Wang Journal of Cyber Security 5 (1), 18-27, 2020 | 7 | 2020 |
| Attentive semantic preservation network for zero-shot learning Z Lu, Y Yu, ZM Lu, FL Shen, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 6 | 2020 |
| Dual semantic-guided model for weakly-supervised zero-shot semantic segmentation F Shen, ZM Lu, Z Lu, Z Wang Multimedia Tools and Applications 81 (4), 5443-5458, 2022 | 3 | 2022 |
| Automatic metrics learning with low‐noise embedding for zero‐shot learning ZQ Lu, ZM Lu Electronics Letters 55 (16), 887-888, 2019 | 2 | 2019 |
| Unbiased hybrid generation network for zero‐shot learning ZH Wang, ZQ Lu, ZM Lu Electronics Letters 56 (18), 929-931, 2020 | 1 | 2020 |
| Self-supervised graph representations with generative adversarial learning X Sun, Z Wang, Z Lu, Z Lu Neurocomputing, 127786, 2024 | | 2024 |
| SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios M Liu, W He, Z Lu, Y Yu arXiv preprint arXiv:2312.03805, 2023 | | 2023 |
| Prompt-based test-time real image dehazing: a novel pipeline Z Chen, Z He, Z Lu, ZM Lu arXiv preprint arXiv:2309.17389, 2023 | | 2023 |
| Accurate and lightweight dehazing via multi-receptive-field non-local network and novel contrastive regularization Z He, Z Chen, Z Lu, X Sun, ZM Lu arXiv preprint arXiv:2309.16494, 2023 | | 2023 |
| Reasoning in Different Directions: Triplet Learning for Scene Graph Generation X Sun, ZM Lu, Z He, Z Lu, H Luo IEEE Access, 2023 | | 2023 |
| Mask-Free Iterative Refinement Network for Weakly-Supervised Few-Shot Semantic Segmentation Y Yu, S Chen, Y Li, Z Lu, Y Zhou Available at SSRN 4774117, 0 | | |
