Li Wang

Orcid: 0000-0002-9755-5744

Affiliations:

Guangzhou University, School of Mechanical and Electrical Engineering, China
Southeast University, China (PhD 2015)

According to our database¹, Li Wang authored at least 21 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Nonlinear Unmixing via Deep Autoencoder Networks for Generalized Bilinear Model.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized Labeled Set.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Self-Supervised Learning With a Dual-Branch ResNet for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Equidistant distribution loss for person re-identification.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Pixels-to-Abundances Translation with Spatial-Spectral Conditional Generative Adversarial Networks for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Personalized Channel Selection and Spatial filtering Model for Brain-Computer Interface.

[BibT_eX]

[DOI]

Proceedings of the ICBBS 2021: 10th International Conference on Bioinformatics and Biomedical Science, Xiamen, China, October 29, 2021

2020

Hetero-Center loss for cross-modality person Re-identification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Circle-Based Ratio Loss for Person Reidentification.

[BibT_eX]

[DOI]

Complex., 2020

Temporal-spatial-frequency depth extraction of brain-computer interface based on mental tasks.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2020

A method from offline analysis to online training for the brain-computer interface based on motor imagery and speech imagery.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2020

A Novel Soft Margin Loss Function for Deep Discriminative Embedding Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

Temporal-Spatial-Frequency Feature Selection of Brain-Computer Interface Based on BQPSO.

[BibT_eX]

[DOI]

Li Wang

Zhenxiong Yan

Yanjun Liu

Proceedings of the 9th International Conference on Bioinformatics and Biomedical Science, 2020

Classify Motor Imagery by a Novel CNN with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Face hallucination from low quality images using definition-scalable inference.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

2018

Recognition and Classification of Spatial Auditory Evoked P300 EEG Signal.

[BibT_eX]

[DOI]

Qianyan Dong

Li Wang

Xiao Hu

Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Incremental XQDA Metric Learning for Person Reidentification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information and Automation, 2018

Time-Frequency-Space Range of EEG Selected by NMI for BCIs.

[BibT_eX]

[DOI]

Li Wang

Chun Zhang

Xiao Hu

Proceedings of the 2018 7th International Conference on Bioinformatics and Biomedical Science, 2018

A Visual Tracking Algorithm Based on Visual Saliency and Multiple Features Fusion.

[BibT_eX]

[DOI]

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017

Surveillance video face recognition with single sample per person based on 3D modeling and blurring.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Li Wang

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