Hong Liu

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20192020202120226 101 175 94

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Mingsheng LongAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Zhangjie CaoPh.D. of Computer Science, Stanford UniversityVerified email at stanford.edu
Tengyu MAStanford UniversityVerified email at stanford.edu
Jeff Z. HaoChenPhD Student, Stanford UniversityVerified email at stanford.edu
Adrien GaidonHead of Machine Learning Research, Toyota Research Institute (TRI)Verified email at tri.global
Colin WeiStanford UniversityVerified email at stanford.edu

Hong Liu

Verified email at stanford.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Transferable adversarial training: A general approach to adapting deep classifiers H Liu, M Long, J Wang, M Jordan International Conference on Machine Learning, 4013-4022, 2019	183	2019
Separate to adapt: Open set domain adaptation via progressive separation H Liu, Z Cao, M Long, J Wang, Q Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	127	2019
Learning to Adapt to Evolving Domains H Liu, M Long, J Wang, Y Wang Advances in Neural Information Processing Systems 33, 2020	18	2020
Cycle Self-Training for Domain Adaptation H Liu, J Wang, M Long Advances in Neural Information Processing Systems 34, 2021	17	2021
Towards Understanding the Transferability of Deep Representations H Liu, M Long, J Wang, MI Jordan arXiv preprint arXiv:1909.12031, 2019	16	2019
Self-supervised Learning is More Robust to Dataset Imbalance H Liu, JZ HaoChen, A Gaidon, T Ma International Conference on Learning Representations, 2022	14	2022
Meta-learning Transferable Representations with a Single Target Domain H Liu, JZ HaoChen, C Wei, T Ma arXiv preprint arXiv:2011.01418, 2020	2	2020

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