| Transferring hierarchical structures with dual meta imitation learning C Gao, Y Jiang, F Chen Conference on Robot Learning, 762-773, 2023 | 8 | 2023 |
| Task understanding from confusing multi-task data X Su, Y Jiang, S Guo, F Chen International Conference on Machine Learning, 9177-9186, 2020 | 8 | 2020 |
| Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize T Zhang, C Zhao, G Chen, Y Jiang, F Chen arXiv preprint arXiv:2406.03345, 2024 | 4 | 2024 |
| Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers Y Jiang, K Hu, T Zhang, H Gao, Y Liu, Y Fang, F Chen The Twelfth International Conference on Learning Representations, 2024 | 3 | 2024 |
| LDD: High-Precision Training of Deep Spiking Neural Network Transformers Guided by an Artificial Neural Network Y Liu, C Zhao, Y Jiang, Y Fang, F Chen Biomimetics 9 (7), 413, 2024 | 1 | 2024 |
| MPL: Identifying and Exploiting View Bias of Prompt Learning C Zhao, T Zhang, G Chen, Y Jiang, F Chen Transactions on Machine Learning Research, 0 | | |
| Learning from conflicting data with hidden contexts T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen | | |
| Subjective Learning for Conflicting Data T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen ICLR Workshop on Agent Learning in Open-Endedness, 0 | | |
