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Bingliang Hu

Showing results (1-10 of 56) with videos related to

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Plos One|February 17, 2017
An improved schlieren method for measurement and automatic reconstruction of the far-field focal spotZhengzhou Wang, Bingliang Hu, Qinye Yin
Bioengineering (Basel, Switzerland)|December 30, 2025
Deep Learning-Based Fatigue Monitoring in Natural Environments: Multi-Level Fatigue State ClassificationYuqi Wang, Ruochen Dang, Bingliang Hu, et al.
Frontiers in Aging Neuroscience|July 28, 2022
An Attention-Based CoT-ResNet With Channel Shuffle Mechanism for Classification of Alzheimer's Disease LevelsChao Li, Quan Wang, Xuebin Liu, et al.
Applied Optics|October 6, 2021
Hyperspectral anomaly detection via super-resolution reconstruction with an attention mechanismDan Chong, Bingliang Hu, Hao Gao, et al.
Biomedical Optics Express|December 20, 2019
Tumor tissue classification based on micro-hyperspectral technology and deep learningBingliang Hu, Jian Du, Zhoufeng Zhang, et al.
Medical & Biological Engineering & Computing|March 21, 2024
The role of eye movement signals in non-invasive brain-computer interface typing systemXi Liu, Bingliang Hu, Yang Si, et al.
Materials Today. Bio|May 22, 2023
Recent advances of lanthanide nanomaterials in Tumor NIR fluorescence detection and treatmentQi Fan, Chao Sun, Bingliang Hu, et al.
Brain Sciences|May 27, 2023
Automatic Seizure Detection and Prediction Based on Brain Connectivity Features and a CNNs Meet Transformers ClassifierZiwei Tian, Bingliang Hu, Yang Si, et al.
Optics Express|March 1, 2017
Meta-nanocavity model for dynamic super-resolution fluorescent imaging based on the plasmonic structure illumination microscopy methodShun Cao, Taisheng Wang, Qiang Sun, et al.
Applied Optics|November 10, 2016
Interference data correction methods for lunar observation with a large-aperture static imaging spectrometerGeng Zhang, Shuang Wang, Libo Li, et al.
Pageof 6

Showing results (1-10 of 56) with videos related to

Sort By:
Pageof 6
Plos One|February 17, 2017
An improved schlieren method for measurement and automatic reconstruction of the far-field focal spotZhengzhou Wang, Bingliang Hu, Qinye Yin
Bioengineering (Basel, Switzerland)|December 30, 2025
Deep Learning-Based Fatigue Monitoring in Natural Environments: Multi-Level Fatigue State ClassificationYuqi Wang, Ruochen Dang, Bingliang Hu, et al.
Frontiers in Aging Neuroscience|July 28, 2022
An Attention-Based CoT-ResNet With Channel Shuffle Mechanism for Classification of Alzheimer's Disease LevelsChao Li, Quan Wang, Xuebin Liu, et al.
Applied Optics|October 6, 2021
Hyperspectral anomaly detection via super-resolution reconstruction with an attention mechanismDan Chong, Bingliang Hu, Hao Gao, et al.
Biomedical Optics Express|December 20, 2019
Tumor tissue classification based on micro-hyperspectral technology and deep learningBingliang Hu, Jian Du, Zhoufeng Zhang, et al.
Medical & Biological Engineering & Computing|March 21, 2024
The role of eye movement signals in non-invasive brain-computer interface typing systemXi Liu, Bingliang Hu, Yang Si, et al.
Materials Today. Bio|May 22, 2023
Recent advances of lanthanide nanomaterials in Tumor NIR fluorescence detection and treatmentQi Fan, Chao Sun, Bingliang Hu, et al.
Brain Sciences|May 27, 2023
Automatic Seizure Detection and Prediction Based on Brain Connectivity Features and a CNNs Meet Transformers ClassifierZiwei Tian, Bingliang Hu, Yang Si, et al.
Optics Express|March 1, 2017
Meta-nanocavity model for dynamic super-resolution fluorescent imaging based on the plasmonic structure illumination microscopy methodShun Cao, Taisheng Wang, Qiang Sun, et al.
Applied Optics|November 10, 2016
Interference data correction methods for lunar observation with a large-aperture static imaging spectrometerGeng Zhang, Shuang Wang, Libo Li, et al.
Pageof 6