Publications

Hui Kang, Sheng Liu, Huaxi Huang, Jun Yu, Bo Han, Dadong Wang, Tongliang Liu (2023). Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels. In arXiv 2023.

Huaxi Huang, Hui Kang, Sheng Liu, Olivier Salvado, Thierry Rakotoarivelo, Dadong Wang, Tongliang Liu (2023). PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels. In ICCV 2023.

Wenbo Xu, Huaxi Huang, Ming Cheng, Litao Yu, Qiang Wu, Jian Zhang (2023). Masked Cross-image Encoding For Few-shot Segmentation. In ICME 2023 (Oral).

Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu (2021). PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. In AAAI 2021 (Oral & Poster).

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Huaxi Huang, Junjie Zhang, Litao Yu, Jian Zhang, Qiang Wu, Chang Xu (2021). TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples. In TCSVT 2021.

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Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu (2020). Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification. In TMM 2020.

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Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Jingsong Xu (2019). Compare More Nuanced: Pairwise Alignment Bilinear Network for Few-Shot Fine-Grained Learning. In ICME 2019 (Oral).

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Huaxi Huang, Jingsong Xu, Jian Zhang, Qiang Wu, Christina Kirsch (2018). Railway Infrastructure Defects Recognition using Fine-grained Deep Convolutional Neural Networks. In DICTA 2018 (Oral).

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Huaxi Huang, Chao Hu, et al (2017). Surface defects detection for mobilephone panel workpieces based on machine vision and machine learning. In ICIA 2017 (Oral).

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Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu (2016). Multi-view Representative and Informative Induced Active Learning. In PRICAI 2016 (Oral).

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