| Fast structured decoding for sequence models Z Sun, Z Li, H Wang, Z Lin, D He, ZH Deng NeurIPS 2019, 2019 | 125 | 2019 |
| Cross-domain few-shot classification via adversarial task augmentation H Wang, ZH Deng IJCAI 2021, 2021 | 116 | 2021 |
| Rethinking minimal sufficient representation in contrastive learning H Wang, X Guo, ZH Deng, Y Lu CVPR 2022 Oral, 2022 | 83 | 2022 |
| Masked Image Modeling with Local Multi-Scale Reconstruction H Wang, Y Tang, Y Wang, J Guo, ZH Deng, K Han CVPR 2023 Highlight, 2023 | 41 | 2023 |
| Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy S Jie, H Wang, ZH Deng ICCV 2023, 2023 | 28 | 2023 |
| Towards well-generalizing meta-learning via adversarial task augmentation H Wang, H Mai, Y Gong, ZH Deng Artificial Intelligence 317, 103875, 2023 | 6 | 2023 |
| Contrastive Prototypical Network with Wasserstein Confidence Penalty H Wang, ZH Deng ECCV 2022, 2022 | 5 | 2022 |
| Distributed representations of diseases based on co-occurrence relationship H Wang, H Mai, Z Deng, C Yang, L Zhang, H Wang Expert Systems with Applications 183, 115418, 2021 | 5 | 2021 |
| Few-shot learning with lssvm base learner and transductive modules H Wang, ZH Deng arXiv preprint arXiv:2009.05786, 2020 | 3 | 2020 |
| Focus Your Attention when Few-Shot Classification H Wang, S Jie, ZH Deng NeurIPS 2023, 2023 | | 2023 |
Zhi-Hong DengSchool of Intelligence Science and Technology, Peking University在 pku.edu.cn 的电子邮件经过验证
