| Causality inspired representation learning for domain generalization F Lv, J Liang, S Li, B Zang, CH Liu, Z Wang, D Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 118 | 2022 |
| Bi-classifier determinacy maximization for unsupervised domain adaptation S Li, F Lv, B Xie, CH Liu, J Liang, C Qin Proceedings of the AAAI conference on artificial intelligence 35 (10), 8455-8464, 2021 | 92 | 2021 |
| Semantic concentration for domain adaptation S Li, M Xie, F Lv, CH Liu, J Liang, C Qin, W Li Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 81 | 2021 |
| A collaborative alignment framework of transferable knowledge extraction for unsupervised domain adaptation B Xie, S Li, F Lv, CH Liu, G Wang, D Wu IEEE Transactions on Knowledge and Data Engineering, 2022 | 44 | 2022 |
| Pareto domain adaptation F Lv, J Liang, K Gong, S Li, CH Liu, H Li, D Liu, G Wang Advances in Neural Information Processing Systems 34, 12917-12929, 2021 | 25* | 2021 |
| Improving generalization with domain convex game F Lv, J Liang, S Li, J Zhang, D Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Towards Unified and Effective Domain Generalization Y Zhang, K Gong, X Ding, K Zhang, F Lv, K Keutzer, X Yue arXiv preprint arXiv:2310.10008, 2023 | | 2023 |
| Incentive Compatible Pareto Alignment for Multi-Source Large Graphs J Liang, F Lv, D Liu, Z Dai, X Tian, S Li, F Wang, H Li arXiv preprint arXiv:2112.02792, 2021 | | 2021 |
Shuang Li（李爽）Associate Professor in School of Computer Science and Technology, Beijing Institute of Technology確認したメール アドレス: bit.edu.cn
