| Reinforcing pretrained models for generating attractive text advertisements X Wang, X Gu, J Cao, Z Zhao, Y Yan, B Middha, X Xie Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 30 | 2021 |
| Mitigating noisy correspondence by geometrical structure consistency learning Z Zhao, M Chen, T Dai, J Yao, B Han, Y Zhang, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 16 | 2024 |
| Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement Z Zhang*, J Zhu*, X Ge*, Z Zhao*, Z Zhou, X Li, X Feng, J Yao, B Han arXiv preprint arXiv:2508.00410, 2025 | 8 | 2025 |
| Multi-modal Medical Diagnosis via Large-small Model Collaboration W Chen*, Z Zhao*, J Yao, Y Zhang, J Bu, H Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2025 | 8 | 2025 |
| Exploring training on heterogeneous data with mixture of low-rank adapters Y Zhou, Z Zhao, H Li, S Du, J Yao, Y Zhang, Y Wang International Conference on Machine Learning, 2024 | 8 | 2024 |
| Probabilistic conformal distillation for enhancing missing modality robustness M Chen, F Zhang, Z Zhao, J Yao, Y Zhang, Y Wang Advances in Neural Information Processing Systems 37, 36218-36242, 2024 | 6 | 2024 |
| Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Z Zhao, F Hong, M Chen, P Chen, B Liu, J Yao, Y Zhang, Y Wang International Conference on Computer Vision, 2025 | 2 | 2025 |
| Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling N Liao, X Wang, Z Lin, W Guo, F Hong, S Song, G Yu, Z Zhao, S Xie, ... arXiv preprint arXiv:2507.18671, 2025 | 1 | 2025 |