| Fairness-guided few-shot prompting for large language models H Ma, C Zhang, Y Bian, L Liu, Z Zhang, P Zhao, S Zhang, H Fu, Q Hu, ... Advances in Neural Information Processing Systems 36, 2024 | 32 | 2024 |
| Trustworthy multimodal regression with mixture of normal-inverse gamma distributions H Ma, Z Han, C Zhang, H Fu, JT Zhou, Q Hu Advances in Neural Information Processing Systems 34, 6881-6893, 2021 | 32 | 2021 |
| Calibrating multimodal learning H Ma, Q Zhang, C Zhang, B Wu, H Fu, JT Zhou, Q Hu International Conference on Machine Learning, 23429-23450, 2023 | 12 | 2023 |
| Adapting large language models for content moderation: Pitfalls in data engineering and supervised fine-tuning H Ma, C Zhang, H Fu, P Zhao, B Wu arXiv preprint arXiv:2310.03400, 2023 | 4 | 2023 |
| Invariant Test-Time Adaptation for Vision-Language Model Generalization H Ma, Y Zhu, C Zhang, P Zhao, B Wu, LK Huang, Q Hu, B Wu arXiv preprint arXiv:2403.00376, 2024 | 1 | 2024 |
| Evidential Pseudo-Label Ensemble for semi-supervised classification K Wang, C Zhang, Y Geng, H Ma Pattern Recognition Letters 177, 135-141, 2024 | 1 | 2024 |
| Attention Paper: How Generative AI Reshapes Digital Shadow Industry? Q Wang, H Ma, W Wei, H Li, C Zhang, P Zhao, B Zhao, B Hu, S Zhang, ... Proceedings of the ACM Turing Award Celebration Conference-China 2023, 143-144, 2023 | | 2023 |
