Xuhong Li

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Venues

University of Technology of Compiègne, France (PHD)

Education History

University of Technology of Compiègne, France

PHD

Publications

Jiamin Chen, Xuhong Li, Yanwu Xu, Mengnan Du, Haoyi Xiong
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training. CoRR (2024)
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
Towards accurate knowledge transfer via target-awareness representation disentanglement. Mach. Learn. 113 (2) (2024)
Haoyi Xiong, Xuhong Li, Xiaofei Zhang, Jiamin Chen, Xinhao Sun, Yuchen Li, Zeyi Sun, Mengnan Du
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective. CoRR (2024)
Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, Haoyi Xiong
ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. ACM Trans. Multim. Comput. Commun. Appl. 20 (4) (2024)
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. AAAI (2023)
Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. ICDM (2023)
Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability. CoRR (2023)
Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong
: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. NeurIPS (2023)
Jiamin Chen, Xuhong Li, Junting Xi, Lei Yu, Haoyi Xiong
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification. ClinicalNLP@ACL (2023)
Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. IEEE Trans. Serv. Comput. 16 (5) (2023)
Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong
Beyond Intuition: Rethinking Token Attributions inside Transformers. Trans. Mach. Learn. Res. 2023 (2023)
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou
Cross-model consensus of explanations and beyond for image classification models: an empirical study. Mach. Learn. 112 (5) (2023)
Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation. CoRR (2023)
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts. CoRR (2023)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. Artif. Intell. 314 (2023)
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models. Mach. Learn. 112 (6) (2023)
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. MICCAI (8) (2022)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou
InterpretDL: Explaining Deep Models in PaddlePaddle. J. Mach. Learn. Res. 23 (2022)
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
From distributed machine learning to federated learning: a survey. Knowl. Inf. Syst. 64 (4) (2022)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowl. Inf. Syst. 64 (12) (2022)
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models. CoRR (2022)
Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou
A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. CoRR (2022)
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features. CoRR (2022)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR (2021)
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
From Distributed Machine Learning to Federated Learning: A Survey. CoRR (2021)
Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples. CoRR (2021)
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study. CoRR (2021)
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou
Cross-Task Transfer for Multimodal Aerial Scene Recognition. CoRR (2020)
Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
Representation Transfer by Optimal Transport. CoRR (2020)
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement. CoRR (2020)
Xuhong Li, Yves Grandvalet, Franck Davoine
A baseline regularization scheme for transfer learning with convolutional neural networks. Pattern Recognit. 98 (2020)
Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Han Zhang, Serge J. Belongie, Yi-Hsuan Tsai, Ming-Hsuan Yang
Transfer learning in computer vision tasks: Remember where you come from. Image Vis. Comput. 93 (2020)
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. ECCV (24) (2020)
Xuhong Li, Franck Davoine, Yves Grandvalet
A Simple Weight Recall for Semantic Segmentation: Application to Urban Scenes. Intelligent Vehicles Symposium (2018)
Xuhong Li, Yves Grandvalet, Franck Davoine
Explicit Inductive Bias for Transfer Learning with Convolutional Networks. CoRR (2018)
Xuhong Li, Yves Grandvalet, Franck Davoine
Explicit Inductive Bias for Transfer Learning with Convolutional Networks. ICML (2018)

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Publication Activity (10 Years)

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Xuhong Li