Xuhong Li

According to our database1, Xuhong Li authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
M<sup>4</sup>: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples.
Proceedings of the IEEE International Conference on Data Mining, 2023

Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Regularization schemes for transfer learning with convolutional networks. (Stratégies de régularisation pour l'apprentissage par transfert des réseaux de neurones à convolution).
PhD thesis, 2019

2018
A Simple Weight Recall for Semantic Segmentation: Application to Urban Scenes.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Explicit Inductive Bias for Transfer Learning with Convolutional Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018


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