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Fangrui Lv
Fangrui Lv
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Title
Cited by
Cited by
Year
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
1162022
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
912021
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
812021
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
442022
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
52023
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
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