Yuchang Zhu

Orcid: 0000-0001-5474-5671

According to our database1, Yuchang Zhu authored at least 10 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Simple Scalable Multimodal Semantic Segmentation Model.
Sensors, January, 2024

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
CLA: A self-supervised contrastive learning method for leaf disease identification with domain adaptation.
Comput. Electron. Agric., August, 2023

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation.
CoRR, 2023

LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning.
CoRR, 2023

Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs.
CoRR, 2023

Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning.
CoRR, 2023

2022
A Smartphone-Based Six-DOF Measurement Method With Marker Detector.
IEEE Trans. Instrum. Meas., 2022

AutoMine: An Unmanned Mine Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
Multi-Camera-Based Universal Measurement Method for 6-DOF of Rigid Bodies in World Coordinate System.
Sensors, 2020


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