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Shaanxi Normal University Library: Xi'an, Shaanxi, CN

Associate Research Fellow (Key Laboratory of Modern Teaching Technology, Ministry of Education)
Employment
Source: Self-asserted source
Bei Fang

Works (17)

CSI-F: A Human Motion Recognition Method Based on Channel-State-Information Signal Feature Fusion

Sensors
2024-01-29 | Journal article
Contributors: Juan Niu; Xiuqing He; Bei Fang; Guangxin Han; Xu Wang; Juhou He
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Crossref
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Facial Expression Recognition in Educational Research From the Perspective of Machine Learning: A Systematic Review

IEEE Access
2023 | Journal article
Contributors: Bei Fang; Xian Li; Guangxin Han; Juhou He
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Crossref

Rethinking Pseudo-Labeling for Semi-Supervised Facial Expression Recognition With Contrastive Self-Supervised Learning

IEEE Access
2023 | Journal article
Contributors: Bei Fang; Xian Li; Guangxin Han; Juhou He
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Crossref

Expression-Guided Deep Joint Learning for Facial Expression Recognition

Sensors
2023-08-13 | Journal article
Contributors: Bei Fang; Yujie Zhao; Guangxin Han; Juhou He
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Crossref
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Fine-grained aspect-based opinion mining on online course reviews for feedback analysis

Interactive Learning Environments
2023-05-03 | Journal article
Part of ISSN: 1049-4820
Part of ISSN: 1744-5191
Contributors: Jing Chen; Ruiqi Wang; Bei Fang; Chen Zuo
Source: Self-asserted source
Bei Fang

Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing
2022 | Journal article
Part of ISSN: 0196-2892
Part of ISSN: 1558-0644
Contributors: Xizhe Xue; Haokui Zhang; Bei Fang; zongwen bai; Ying Li
Source: Self-asserted source
Bei Fang

A systematic review for MOOC dropout prediction from the perspective of machine learning

Interactive Learning Environments
2022-09-23 | Journal article
Part of ISSN: 1049-4820
Part of ISSN: 1744-5191
Contributors: Jing Chen; Bei Fang; hao zhang; Xia Xue
Source: Self-asserted source
Bei Fang

Bi-LSTM-attention Based on ACNN Model for Disfluency Detection

Journal of Physics: Conference Series
2022-07-01 | Journal article
Part of ISSN: 1742-6588
Part of ISSN: 1742-6596
Contributors: Xin Tian; Bei Fang; Juhou He; Xiuqing He
Source: Self-asserted source
Bei Fang

Hyperspectral Image Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning

Remote Sensing
2022-04 | Journal article | Author
Contributors: Bei Fang; Yu Liu; Haokui Zhang; Juhou He
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Multidisciplinary Digital Publishing Institute
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Preferred source (of 2)‎

Ghost-based Convolutional Neural Network for Effective Facial Expression Recognition

2022 International Conference on Machine Learning and Knowledge Engineering (MLKE)
2022-02 | Conference paper
Contributors: Bei Fang; Guanyu Chen; Juhou He
Source: Self-asserted source
Bei Fang

Hyperspectral Image Classification using Multi-channel Lightweight CNN Ensemble Framework Based on Band Clustering

ICMLCA 2021; 2nd International Conference on Machine Learning and Computer Application
2021 | Conference paper
Contributors: Fang, Bei; Han, Guangxin; Zheng, Xiaolong; He, Juhou
Source: Self-asserted source
Bei Fang

Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples

ISPRS Journal of Photogrammetry and Remote Sensing
2020-03 | Journal article
Part of ISSN: 0924-2716
Contributors: Bei Fang; Ying Li; Haokui Zhang; Jonathan Cheung-Wai Chan
Source: Self-asserted source
Bei Fang

Combining Spectral Unmixing and 3D/2D Dense Networks with Early-Exiting Strategy for Hyperspectral Image Classification

Remote Sensing
2020-02-29 | Journal article
Part of ISSN: 2072-4292
Contributors: Bei Fang; Yunpeng Bai; Ying Li
Source: Self-asserted source
Bei Fang

Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attention Mechanism

Remote Sensing
2019-01-16 | Journal article
Part of ISSN: 2072-4292
Contributors: Bei Fang; Ying Li; Haokui Zhang; Jonathan Chan
Source: Self-asserted source
Bei Fang

Semi-Supervised Deep Learning Classification for Hyperspectral Image Based on Dual-Strategy Sample Selection

Remote Sensing
2018-04-08 | Journal article
Part of ISSN: 2072-4292
Contributors: Bei Fang; Ying Li; Haokui Zhang; Jonathan Chan
Source: Self-asserted source
Bei Fang

Kernel sparse NMF for hyperspectral unmixing

2014 International Conference on Orange Technologies
2014-09 | Conference paper
Contributors: Bei Fang; Ying Li; Peng Zhang; Bendu Bai
Source: Self-asserted source
Bei Fang

Semi-supervised Discriminative Orthogonal Locality Preserving Projections for Face Recognition

Advances in Intelligent and Soft Computing
2012 | Book chapter
Part of ISBN: 9783642037177
Part of ISBN: 9783642037184
Part of ISSN: 1867-5662
Part of ISSN: 1867-5670
Contributors: Lintao Lü; Bei Fang; Minghua Zhao; Hui Lü
Source: Self-asserted source
Bei Fang