Zeyu Cao

Orcid: 0000-0002-1566-2408

According to our database1, Zeyu Cao authored at least 16 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Small Sample Building Energy Consumption Prediction Using Contrastive Transformer Networks.
Sensors, November, 2023

Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising.
Remote. Sens., February, 2023

EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Motion Generation.
CoRR, 2023

Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
ROBYOL: Random-Occlusion-Based BYOL for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

ALPN: Active-Learning-Based Prototypical Network for Few-Shot Hyperspectral Imagery Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression.
CoRR, 2022

Vertical Federated Linear Contextual Bandits.
CoRR, 2022

Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites.
CoRR, 2022

Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification.
CoRR, 2022

Deep Learning Based Thermal Stress and Deformation Analysis of Satellites.
Proceedings of the Modern Management based on Big Data III, 2022

2021
ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification.
Neurocomputing, 2021

2020
Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification.
CoRR, 2020

Improving Grid-Connection Reliability and Safety of Synchronous Condensers With Start-Up Process Optimization.
IEEE Access, 2020

2019
Object Detection in VHR Image Using Transfer Learning with Deformable Convolution.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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