Lan-Zhe Guo
Lan-Zhe Guo
LAMDA Group, Nanjing University
Verified email at - Homepage
Cited by
Cited by
Safe deep semi-supervised learning for unseen-class unlabeled data
LZ Guo, ZY Zhang, Y Jiang, YF Li, ZH Zhou
International conference on machine learning, 3897-3906, 2020
Towards safe weakly supervised learning
YF Li, LZ Guo, ZH Zhou
IEEE transactions on pattern analysis and machine intelligence 43 (1), 334-346, 2019
Usb: A unified semi-supervised learning benchmark for classification
Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ...
Advances in Neural Information Processing Systems 35, 3938-3961, 2022
Class-imbalanced semi-supervised learning with adaptive thresholding
LZ Guo, YF Li
International conference on machine learning, 8082-8094, 2022
Step: Out-of-distribution detection in the presence of limited in-distribution labeled data
Z Zhou, LZ Guo, Z Cheng, YF Li, S Pu
Advances in Neural Information Processing Systems 34, 29168-29180, 2021
Learning safe multi-label prediction for weakly labeled data
T Wei, LZ Guo, YF Li, W Gao
Machine Learning 107, 703-725, 2018
Robust semi-supervised learning when not all classes have labels
LZ Guo, YG Zhang, ZF Wu, JJ Shao, YF Li
Advances in Neural Information Processing Systems 35, 3305-3317, 2022
Interactive graph construction for graph-based semi-supervised learning
C Chen, Z Wang, J Wu, X Wang, LZ Guo, YF Li, S Liu
IEEE Transactions on Visualization and Computer Graphics 27 (9), 3701-3716, 2021
Learning from group supervision: the impact of supervision deficiency on multi-label learning
M Xu, LZ Guo
Science China Information Sciences 64, 1-13, 2021
Record: Resource constrained semi-supervised learning under distribution shift
LZ Guo, Z Zhou, YF Li
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
A general formulation for safely exploiting weakly supervised data
LZ Guo, YF Li
Proceedings of the AAAI conference on Artificial Intelligence 32 (1), 2018
Ods: Test-time adaptation in the presence of open-world data shift
Z Zhou, LZ Guo, LH Jia, D Zhang, YF Li
International Conference on Machine Learning, 42574-42588, 2023
Transfer and share: semi-supervised learning from long-tailed data
T Wei, QY Liu, JX Shi, WW Tu, LZ Guo
Machine Learning 113 (4), 1725-1742, 2024
Open-set learning under covariate shift
JJ Shao, XW Yang, LZ Guo
Machine Learning 113 (4), 1643-1659, 2024
Log: Active model adaptation for label-efficient ood generalization
JJ Shao, LZ Guo, XW Yang, YF Li
Advances in Neural Information Processing Systems 35, 11023-11034, 2022
Learning from imbalanced and incomplete supervision with its application to ride-sharing liability judgment
LZ Guo, Z Zhou, JJ Shao, Q Zhang, F Kuang, GL Li, ZX Liu, GB Wu, N Ma, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
LAMDA-SSL: Semi-supervised learning in python
LH Jia, LZ Guo, Z Zhou, YF Li
arXiv preprint arXiv:2208.04610, 2022
Robust deep semi-supervised learning: A brief introduction
LZ Guo, Z Zhou, YF Li
arXiv preprint arXiv:2202.05975, 2022
Weakly supervised learning meets ride-sharing user experience enhancement
LZ Guo, F Kuang, ZX Liu, YF Li, N Ma, XH Qie
arXiv preprint arXiv:2001.09027, 2020
Reliable weakly supervised learning: Maximize gain and maintain safeness
LZ Guo, YF Li, M Li, JF Yi, BW Zhou, ZH Zhou
arXiv preprint arXiv:1904.09743, 2019
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