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

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing.
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.
CoRR, 2023

2022
Nonlinear Unmixing via Deep Autoencoder Networks for Generalized Bilinear Model.
Remote. Sens., 2022

Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized Labeled Set.
Remote. Sens., 2022

Self-Supervised Learning With a Dual-Branch ResNet for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Equidistant distribution loss for person re-identification.
Neurocomputing, 2021

Pixels-to-Abundances Translation with Spatial-Spectral Conditional Generative Adversarial Networks for Hyperspectral Unmixing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Personalized Channel Selection and Spatial filtering Model for Brain-Computer Interface.
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.
Neurocomputing, 2020

Circle-Based Ratio Loss for Person Reidentification.
Complex., 2020

Temporal-spatial-frequency depth extraction of brain-computer interface based on mental tasks.
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.
Biomed. Signal Process. Control., 2020

A Novel Soft Margin Loss Function for Deep Discriminative Embedding Learning.
IEEE Access, 2020

Temporal-Spatial-Frequency Feature Selection of Brain-Computer Interface Based on BQPSO.
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Science, 2020

Classify Motor Imagery by a Novel CNN with Data Augmentation.
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.
Pattern Recognit., 2019

2018
Recognition and Classification of Spatial Auditory Evoked P300 EEG Signal.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Incremental XQDA Metric Learning for Person Reidentification.
Proceedings of the IEEE International Conference on Information and Automation, 2018

Time-Frequency-Space Range of EEG Selected by NMI for BCIs.
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.
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.
Neurocomputing, 2017


  Loading...