Xuhong Li
Xuhong Li
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Cited by
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Explicit inductive bias for transfer learning with convolutional networks
LI Xuhong, Y Grandvalet, F Davoine
International Conference on Machine Learning, 2825-2834, 2018
Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond
X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian, D Dou
Knowledge and Information Systems 64 (12), 3197-3234, 2022
From distributed machine learning to federated learning: A survey
J Liu, J Huang, Y Zhou, X Li, S Ji, H Xiong, D Dou
Knowledge and Information Systems 64 (4), 885-917, 2022
Transfer learning in computer vision tasks: Remember where you come from
X Li, Y Grandvalet, F Davoine, J Cheng, Y Cui, H Zhang, S Belongie, ...
Image and Vision Computing 93, 103853, 2020
A baseline regularization scheme for transfer learning with convolutional neural networks
X Li, Y Grandvalet, F Davoine
Pattern Recognition 98, 107049, 2020
Cross-task transfer for geotagged audiovisual aerial scene recognition
D Hu, X Li, L Mou, P Jin, D Chen, L Jing, X Zhu, D Dou
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Explaining information flow inside vision transformers using markov chain
T Yuan, X Li, H Xiong, H Cao, D Dou
eXplainable AI approaches for debugging and diagnosis., 2021
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors
X Li, H Xiong, X Li, X Zhang, J Liu, H Jiang, Z Chen, D Dou
Artificial Intelligence 314, 103823, 2023
Muscle: Multi-task self-supervised continual learning to pre-train deep models for x-ray images of multiple body parts
W Liao, H Xiong, Q Wang, Y Mo, X Li, Y Liu, Z Chen, S Huang, D Dou
International Conference on Medical Image Computing and Computer-Assisted …, 2022
InterpretDL: Explaining Deep Models in PaddlePaddle
X Li, H Xiong, X Li, X Wu, Z Chen, D Dou
Journal of Machine Learning Research 23 (197), 1-6, 2022
Beyond Intuition: Rethinking Token Attributions inside Transformers
J Chen, X Li, L Yu, D Dou, H Xiong
Transactions on Machine Learning Research, 2023
Representation transfer by optimal transport
X Li, Y Grandvalet, R Flamary, N Courty, D Dou
arXiv preprint arXiv:2007.06737, 2020
Cross-model consensus of explanations and beyond for image classification models: An empirical study
X Li, H Xiong, S Huang, S Ji, D Dou
Machine Learning 112 (5), 1627-1662, 2023
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models
X Li, H Xiong, Y Liu, D Zhou, Z Chen, Y Wang, D Dou
Machine Learning 112 (6), 2193-2209, 2023
Practical assessment of generalization performance robustness for deep networks via contrastive examples
X Wu, X Li, H Xiong, X Zhang, S Huang, D Dou
arXiv preprint arXiv:2106.10653, 2021
Learning from training dynamics: Identifying mislabeled data beyond manually designed features
Q Jia, X Li, L Yu, J Bian, P Zhao, S Li, H Xiong, D Dou
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8041-8049, 2023
Feynman: Federated Learning-based Advertising for Ecosystems-Oriented Mobile Apps Recommendation
J Bian, J Huang, S Ji, Y Liao, X Li, Q Wang, J Zhou, D Dou, Y Wang, ...
IEEE Transactions on Services Computing, 2023
Can we use gradient norm as a measure of generalization error for model selection in practice?
H An, H Xiong, X Li, X Li, D Dou, Z Zhu
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation
W Liao, X Li, Q Wang, Y Xu, Z Yin, H Xiong
arXiv preprint arXiv:2310.03981, 2023
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification
J Chen, X Li, J Xi, L Yu, H Xiong
Proceedings of the 5th Clinical Natural Language Processing Workshop, 403-413, 2023
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