| Adaptive transfer learning on graph neural networks X Han, Z Huang, B An, J Bai Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 49 | 2021 |
| Adaptergnn: Efficient delta tuning improves generalization ability in graph neural networks S Li, X Han, J Bai arXiv preprint arXiv:2304.09595, 2023 | 9 | 2023 |
| Parameter-efficient is not sufficient: Exploring parameter, memory, and time efficient adapter tuning for dense predictions D Yin, X Han, B Li, H Feng, J Bai arXiv preprint arXiv:2306.09729, 2023 | 5 | 2023 |
| Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs H Zhang, X Han, X Xiao, J Bai Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
| AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs S Li, X Han, J Bai Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13600 …, 2024 | 1 | 2024 |
| NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models S Li, X Han, J Bai arXiv preprint arXiv:2402.09773, 2024 | | 2024 |
