| Eliminate deviation with deviation for data augmentation and a general multi-modal data learning method Y Gong, L Huang, L Chen arXiv preprint arXiv:2101.08533, 2021 | 46* | 2021 |
| Person re-identification method based on color attack and joint defence Y Gong, L Huang, L Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 39 | 2022 |
| Cross-modality perturbation synergy attack for person re-identification Y Gong, Z Zhong, Y Qu, Z Luo, R Ji, M Jiang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 14 | 2024 |
| Exploring Color Invariance through Image-Level Ensemble Learning Y Gong, J Li, L Chen, M Jiang arXiv preprint arXiv:2401.10512, 2024 | 8 | 2024 |
| Beyond dropout: Robust convolutional neural networks based on local feature masking Y Gong, C Zhang, Y Hou, L Chen, M Jiang 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | 6 | 2024 |
| Beyond augmentation: Empowering model robustness under extreme capture environments Y Gong, Y Hou, C Zhang, M Jiang 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | 5 | 2024 |
| Adversarial learning for neural pde solvers with sparse data Y Gong, Y Hou, Z Wang, Z Lin, M Jiang arXiv preprint arXiv:2409.02431, 2024 | 3 | 2024 |
| Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization Y Gong, Q Zeng, D Xu, Z Wang, M Jiang | 1 | 2024 |
| Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift Q Zeng, Y Gong, M Jiang 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
Min JIANG 江敏Professor, Xiamen University在 xmu.edu.cn 的电子邮件经过验证
