Multi-view Representative and Informative Induced Active Learning. - Huaxi Huang; Changqing Zhang; Qinghua Hu; Pengfei Zhu 001 (PRICAI, 2016)

Surface defects detection for mobilephone panel workpieces based on machine vision and machine learning. - Huaxi Huang; Chao Hu; Tian Wang; Liuyun Zhang; Fengwei Li; Pengcheng Guo (ICIA, 2017)

Railway Infrastructure Defects Recognition using Fine-grained Deep Convolutional Neural Networks. - Huaxi Huang; Jingsong Xu; Jian Zhang 002; Qiang Wu 001; Christina Kirsch (DICTA, 2018)

Compare More Nuanced: Pairwise Alignment Bilinear Network for Few-Shot Fine-Grained Learning. - Huaxi Huang; Junjie Zhang 002; Jian Zhang 002; Qiang Wu 001; Jingsong Xu (ICME, 2019)

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples. - Huaxi Huang; Junjie Zhang 002; Jian Zhang 002; Qiang Wu 001; Chang Xu 002 (CoRR, 2020)

PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. - Huaxi Huang; Junjie Zhang 002; Jian Zhang 002; Qiang Wu 001; Chang Xu 002 (AAAI, 2021)

Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification. - Huaxi Huang; Junjie Zhang 002; Jian Zhang 002; Jingsong Xu; Qiang Wu 001 (IEEE Trans. Multim., 2021)

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled Samples. - Huaxi Huang; Junjie Zhang 002; Litao Yu; Jian Zhang 002; Qiang Wu 001; Chang Xu 002 (IEEE Trans. Circuits Syst. Video Technol., 2022)

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

Masked Cross-image Encoding for Few-shot Segmentation. - Wenbo Xu 004; Huaxi Huang; Ming Cheng; Litao Yu; Qiang Wu 001; Jian Zhang 002 (ICME, 2023)

Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels. - Hui Kang; Sheng Liu; Huaxi Huang; Jun Yu 001; Bo Han 003; Dadong Wang; Tongliang Liu (CoRR, 2023)

Channel-Wise Contrastive Learning for Learning with Noisy Labels. - Hui Kang; Sheng Liu; Huaxi Huang; Tongliang Liu (CoRR, 2023)

Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning. - Huaxi Huang; Xin Yu 002; Qiyu Liao; Dadong Wang; Tongliang Liu (CoRR, 2024)

Few-shot classification guided by generalization error bound. - Fan Liu 003; Sai Yang; Delong Chen; Huaxi Huang; Jun Zhou 001 (Pattern Recognit., 2024)

Enhancing Semi-Supervised Few-Shot Hyperspectral Image Classification via Progressive Sample Selection. - Jiaguo Zhao; Junjie Zhang 002; Huaxi Huang; Jian Zhang 002 (Remote. Sens., 2024)

Few-Shot Classification Model Compression via School Learning. - Sai Yang; Fan Liu 003; Delong Chen; Huaxi Huang; Jun Zhou 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Establishing Nuanced Multimodal Attention for Weakly Supervised Semantic Segmentation of Remote Sensing Scenes. - Qiming Zhang; Junjie Zhang 002; Huaxi Huang; Fangyu Wu 001; Hongwen Yu (IEEE Geosci. Remote. Sens. Lett., 2025)

Turing Machine Evaluation for Large Language Model. - Haitao Wu; Zongbo Han; Huaxi Huang; Changqing Zhang (CoRR, 2025)