Huaxi Huang

Orcid: 0000-0002-6837-6747

According to our database1, Huaxi Huang authored at least 14 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Enhancing Semi-Supervised Few-Shot Hyperspectral Image Classification via Progressive Sample Selection.
Remote. Sens., May, 2024

Few-shot classification guided by generalization error bound.
Pattern Recognit., January, 2024

2023
Channel-Wise Contrastive Learning for Learning with Noisy Labels.
CoRR, 2023

Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels.
CoRR, 2023

Masked Cross-image Encoding for Few-shot Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled Samples.
IEEE Trans. Circuits Syst. Video Technol., 2022

2021
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification.
IEEE Trans. Multim., 2021

PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples.
CoRR, 2020

2019
Compare More Nuanced: Pairwise Alignment Bilinear Network for Few-Shot Fine-Grained Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Railway Infrastructure Defects Recognition using Fine-grained Deep Convolutional Neural Networks.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017
Surface defects detection for mobilephone panel workpieces based on machine vision and machine learning.
Proceedings of the IEEE International Conference on Information and Automation, 2017

2016
Multi-view Representative and Informative Induced Active Learning.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016


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