Xuhong Li

发表

InterpretDL: Explaining Deep Models in PaddlePaddle

D. Dou, H. Xiong, Xingjian Li, 2022, J. Mach. Learn. Res..

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

D. Dou, Haoyi Xiong, Haoyi Xiong, 2021, Knowledge and Information Systems.

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond pdf

Haoyi Xiong, Dejing Dou, Xuhong Li, 2021, Knowledge and Information Systems.

P2A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos

D. Dou, Feixiang Lu, Jun Zhao, 2022, arXiv.org.

Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models

D. Dou, H. Xiong, Dingfu Zhou, 2022, Machine Learning.

Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features

D. Dou, H. Xiong, Lei Yu, 2022, AAAI.

Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples pdf

Siyu Huang, Dejing Dou, Xuhong Li, 2021, ArXiv.

From distributed machine learning to federated learning: a survey

Ji Liu, D. Dou, Yang Zhou, 2021, Knowledge and Information Systems.

Cross-Task Transfer for Multimodal Aerial Scene Recognition pdf

Dong Chen, Dejing Dou, Lichao Mou, 2020, ArXiv.

Cross-model consensus of explanations and beyond for image classification models: an empirical study pdf

Siyu Huang, Dejing Dou, Xuhong Li, 2021, Machine Learning.

A baseline regularization scheme for transfer learning with convolutional neural networks

Franck Davoine, Yves Grandvalet, Xuhong Li, 2020, Pattern Recognit..

G-LIME: Statistical learning for local interpretations of deep neural networks using global priors

D. Dou, H. Xiong, Haoyi Xiong, 2022, Artif. Intell..

Explicit Inductive Bias for Transfer Learning with Convolutional Networks

Xuhong Li, Franck Davoine, Yves Grandvalet, 2018, ICML.

Transfer learning in computer vision tasks: Remember where you come from

Franck Davoine, Yves Grandvalet, Serge J. Belongie, 2020, Image Vis. Comput..

Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition

Dong Chen, Dejing Dou, Lichao Mou, 2020, ECCV.

Beyond Intuition: Rethinking Token Attributions inside Transformers

Lei Yu, D. Dou, H. Xiong, 2023, Trans. Mach. Learn. Res..

Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement

D. Dou, Chengzhong Xu, Di Hu, 2020, ArXiv.

A Simple Weight Recall for Semantic Segmentation: Application to Urban Scenes

Xuhong Li, Franck Davoine, Yves Grandvalet, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Explicit Inductive Bias for Transfer Learning with Convolutional Networks

Yves Grandvalet, F. Davoine, Xuhong Li, 2018, ICML.

Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification

H. Xiong, Junting Xi, Xuhong Li, 2023, CLINICALNLP.

Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer

D. Dou, Zhanxing Zhu, Dongrui Wu, 2023, Mach. Learn. Sci. Technol..

Representation Transfer by Optimal Transport

Yves Grandvalet, D. Dou, N. Courty, 2020, ArXiv.

CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation

Qingzhong Wang, Xuhong Li, Weibin Liao, 2023, arXiv.org.

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts

D. Dou, H. Xiong, Haoyi Xiong, 2023, MICCAI.

From distributed machine learning to federated learning: a survey

Ji Liu, D. Dou, Yang Zhou, 2021, Knowledge and Information Systems.

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective

Haoyi Xiong, Xuhong Li, Yuchen Li, 2024, ArXiv.

Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition

D. Dou, L. Jing, Di Hu, 2020, European Conference on Computer Vision.

Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement

D. Dou, Chengzhong Xu, Di Hu, 2020, Mach. Learn..