| Expectation-maximization attention networks for semantic segmentation X Li, Z Zhong, J Wu, Y Yang, Z Lin, H Liu ICCV, 9167-9176, 2019 | 640 | 2019 |
| Improving Calibration for Long-Tailed Recognition Z Zhong, J Cui, S Liu, J Jia CVPR, 16489-16498, 2021 | 292 | 2021 |
| Parametric Contrastive Learning J Cui, Z Zhong, S Liu, B Yu, J Jia ICCV, 715-724, 2021 | 262 | 2021 |
| Deep joint-semantics reconstructing hashing for large-scale unsupervised cross-modal retrieval S Su*, Z Zhong*, C Zhang ICCV, 3027-3035, 2019 | 252 | 2019 |
| Convolutional neural networks with alternately updated clique Y Yang, Z Zhong, T Shen, Z Lin CVPR, 2413-2422, 2018 | 153 | 2018 |
| ResLT: Residual learning for long-tailed recognition J Cui, S Liu, Z Tian, Z Zhong, J Jia IEEE TPAMI, 2022 | 97 | 2022 |
| Joint sub-bands learning with clique structures for wavelet domain super-resolution Z Zhong, T Shen, Y Yang, Z Lin, C Zhang NeuIPS, 165-175, 2018 | 73 | 2018 |
| Differentiable linearized ADMM X Xie, J Wu, Z Zhong, G Liu, Z Lin ICML, 6902-6911, 2019 | 68 | 2019 |
| Mini-gemini: Mining the potential of multi-modality vision language models Y Li, Y Zhang, C Wang, Z Zhong, Y Chen, R Chu, S Liu, J Jia arXiv preprint arXiv:2403.18814, 2024 | 40 | 2024 |
| Understanding imbalanced semantic segmentation through neural collapse Z Zhong, J Cui, Y Yang, X Wu, X Qi, X Zhang, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 33 | 2023 |
| Generalized parametric contrastive learning J Cui, Z Zhong, Z Tian, S Liu, B Yu, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 30 | 2023 |
| ADA-Tucker: compressing deep neural networks via adaptive dimension adjustment tucker decomposition Z Zhong, F Wei, Z Lin, C Zhang Neural Networks 110, 104-115, 2019 | 27 | 2019 |
| Channel-level variable quantization network for deep image compression Z Zhong, H Akutsu, K Aizawa IJCAI, 467-473, 2020 | 24 | 2020 |
| Decoupled kullback-leibler divergence loss J Cui, Z Tian, Z Zhong, X Qi, B Yu, H Zhang arXiv preprint arXiv:2305.13948, 2023 | 19 | 2023 |
| R -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal T Shen, X Li, Z Zhong, J Wu, Z Lin MICCAI, 319-327, 2019 | 16 | 2019 |
| Region rebalance for long-tailed semantic segmentation J Cui, Y Yuan, Z Zhong, Z Tian, H Hu, S Lin, J Jia arXiv preprint arXiv:2204.01969, 2022 | 13 | 2022 |
| Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition Z Zhong, J Cui, Z Li, E Lo, J Sun, J Jia arXiv preprint arXiv:2203.11506, 2022 | 3 | 2022 |
Jiaya JiaProfessor, CUHK在 cse.cuhk.edu.hk 的电子邮件经过验证
