| What makes multi-modal learning better than single (provably) Y Huang*, C Du*, Z Xue, X Chen, H Zhao, L Huang Advances in Neural Information Processing Systems 34, 10944-10956, 2021 | 308 | 2021 |
| Chatdb: Augmenting llms with databases as their symbolic memory C Hu, J Fu, C Du, S Luo, J Zhao, H Zhao arXiv preprint arXiv:2306.03901, 2023 | 75 | 2023 |
| Improving multi-modal learning with uni-modal teachers C Du, T Li, Y Liu, Z Wen, T Hua, Y Wang, H Zhao arXiv preprint arXiv:2106.11059, 2021 | 51 | 2021 |
| On Uni-Modal Feature Learning in Supervised Multi-Modal Learning C Du, J Teng, T Li, Y Liu, T Yuan, Y Wang, Y Yuan, H Zhao International Conference on Machine Learning (ICML) 2023, 2023 | 46 | 2023 |
| Kimi k1. 5: Scaling reinforcement learning with llms K Team, A Du, B Gao, B Xing, C Jiang, C Chen, C Li, C Xiao, C Du, C Liao, ... arXiv preprint arXiv:2501.12599, 2025 | 20 | 2025 |
| Intrinsically motivated self-supervised learning in reinforcement learning Y Zhao, C Du, H Zhao, T Li 2022 International Conference on Robotics and Automation (ICRA), 3605-3615, 2022 | 4 | 2022 |
| Secure Data Sharing With Flow Model C Wu*, C Du*, Y Yuan arXiv preprint arXiv:2009.11762, 2020 | 4 | 2020 |
| What Makes for Robust Multi-Modal Models in the Face of Missing Modalities? S Li*, C Du*, Y Zhao, Y Huang, H Zhao arXiv preprint arXiv:2310.06383, 2023 | 3* | 2023 |
| Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models C Du, Y Zhao, C Liao, J You, J Fu, H Zhao arXiv preprint arXiv:2310.05193, 2023 | 2 | 2023 |
Hang ZhaoAssistant Professor, Tsinghua UniversityAdresă de e-mail confirmată pe csail.mit.edu