Yuanhong Xu

Orcid: 0000-0003-2201-8714

According to our database1, Yuanhong Xu authored at least 18 papers between 2018 and 2024.

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

2024
Robustness Analysis for Sundry Disturbed Open Loop Dynamics Using Robust Right Coprime Factorization.
Axioms, February, 2024

2023
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.
CoRR, 2023

Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.
Proceedings of the International Conference on Machine Learning, 2023

Improved Visual Fine-tuning with Natural Language Supervision.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

K<sup>2</sup>NN: Self-Supervised Learning with Hierarchical Nearest Neighbors for Remote Sensing.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Two-Dimensional Imaging of FMCW Ice Sounding Radar Data via the Modified Frequency Scaling Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2022

Nonlinear Intelligent Control of Two Link Robot Arm by Considering Human Voluntary Components.
Sensors, 2022

Building a Three-Level User Experience (UX) Measurement Framework for Mobile Banking Applications in a Chinese Context: An Analytic Hierarchy Process (AHP) Analysis.
Multimodal Technol. Interact., 2022

An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation.
CoRR, 2022

Improved Fine-Tuning by Better Leveraging Pre-Training Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Visual Representation Learning by Online Constrained K-Means.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice.
CoRR, 2021

Weakly Supervised Representation Learning with Coarse Labels.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Towards Understanding Label Smoothing.
CoRR, 2020

Representation Learning with Fine-grained Patterns.
CoRR, 2020

2018
Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction.
CoRR, 2018

Combining depth-estimation-based multi-spectral photometric stereo and SLAM for real-time dense 3D reconstruction.
Proceedings of the 4th International Conference on Communication and Information Processing, 2018


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