Zeyu Cao

Orcid: 0000-0001-8269-3602

According to our database¹, Zeyu Cao authored at least 24 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Scaling Laws for Mixed quantization in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer.

[BibT_eX]

[DOI]

CoRR, 2024

DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image.

[BibT_eX]

[DOI]

CoRR, 2024

AutoCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation.

[BibT_eX]

[DOI]

CoRR, 2024

The Future of Large Language Model Pre-training is Federated.

[BibT_eX]

[DOI]

CoRR, 2024

Residual Spatio-Temporal Attention Based Prototypical Network for Rare Arrhythmia Classification.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Contrastdm: Combining Contrastive Learning and Diffusion Model for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Jinhui Li

Jing Wang

Zeyu Cao

Proceedings of the IGARSS 2024, 2024

EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Small Sample Building Energy Consumption Prediction Using Contrastive Transformer Networks.

[BibT_eX]

[DOI]

Wenxian Ji

Zeyu Cao

Xiaorun Li

Sensors, November, 2023

Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

Remote. Sens., February, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ROBYOL: Random-Occlusion-Based BYOL for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

ALPN: Active-Learning-Based Prototypical Network for Few-Shot Hyperspectral Imagery Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

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

[BibT_eX]

[DOI]

Zeyu Cao

Yuchi Ma

Zhou Zhang

CoRR, 2022

Vertical Federated Linear Contextual Bandits.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Haotian Wu

Anyu Zhang

Zeyu Cao

CoRR, 2022

Deep Learning Based Thermal Stress and Deformation Analysis of Satellites.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neurocomputing, 2021

2020

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

[BibT_eX]

[DOI]

Zeyu Cao

Xiaorun Li

Liaoying Zhao

CoRR, 2020

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

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Object Detection in VHR Image Using Transfer Learning with Deformable Convolution.

[BibT_eX]

[DOI]

Zeyu Cao

Xiaorun Li

Liaoying Zhao

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Zeyu Cao

Timeline

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