Semi-Supervised Deep Learning Classification for Hyperspectral Image Based on Dual-Strategy Sample Selection. - Bei Fang; Ying Li 017; Haokui Zhang; Jonathan Cheung-Wai Chan (Remote. Sens., 2018)

Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attention Mechanism. - Bei Fang; Ying Li 017; Haokui Zhang; Jonathan Cheung-Wai Chan (Remote. Sens., 2019)

Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. - Haokui Zhang; Yu Liu 029; Bei Fang; Ying Li 017; Lingqiao Liu; Ian D. Reid 001 (CoRR, 2020)

Combining Spectral Unmixing and 3D/2D Dense Networks with Early-Exiting Strategy for Hyperspectral Image Classification. - Bei Fang; Yunpeng Bai; Ying Li 017 (Remote. Sens., 2020)

Hyperspectral Image Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. - Bei Fang; Yu Liu 029; Haokui Zhang; Juhou He (Remote. Sens., 2022)

Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification. - Xizhe Xue; Haokui Zhang; Bei Fang; Zongwen Bai; Ying Li 017 (IEEE Trans. Geosci. Remote. Sens., 2022)

Rethinking Pseudo-Labeling for Semi-Supervised Facial Expression Recognition With Contrastive Self-Supervised Learning. - Bei Fang; Xian Li; Guangxin Han; Juhou He (IEEE Access, 2023)

Facial Expression Recognition in Educational Research From the Perspective of Machine Learning: A Systematic Review. - Bei Fang; Xian Li; Guangxin Han; Juhou He (IEEE Access, 2023)

Expression-Guided Deep Joint Learning for Facial Expression Recognition. - Bei Fang; Yujie Zhao; Guangxin Han; Juhou He (Sensors, 2023)

CSI-F: A Human Motion Recognition Method Based on Channel-State-Information Signal Feature Fusion. - Juan Niu; Xiuqing He; Bei Fang; Guangxin Han; Xu Wang; Juhou He (Sensors, 2024)

Fine-grained aspect-based opinion mining on online course reviews for feedback analysis. - Jing Chen; Ruiqi Wang; Bei Fang; Chen Zuo (Interact. Learn. Environ., 2024)