Yuchang Zhu

According to our database, Yuchang Zhu authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation.

Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng

IEEE Trans. Comput. Soc. Syst., October, 2024

Simple Scalable Multimodal Semantic Segmentation Model.

Yuchang Zhu, Nanfeng Xiao

Sensors, January, 2024

Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective.

Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen

CoRR, 2024

Fair Graph Representation Learning via Sensitive Attribute Disentanglement.

Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen

Proceedings of the ACM on Web Conference 2024, 2024

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

Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes.

Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data.

Yuchang Zhu, Nanfeng Xiao

Proceedings of the International Joint Conference on Neural Networks, 2024

Lane Detection Method Based on Deformable Linear Convolution.

Yuchang Zhu, Nanfeng Xiao

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

CLA: A self-supervised contrastive learning method for leaf disease identification with domain adaptation.

Ruzhun Zhao, Yuchang Zhu, Yuanhong Li

Comput. Electron. Agric., August, 2023

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

Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng

CoRR, 2023

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

Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen

CoRR, 2023

Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning.

Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng

CoRR, 2023

2022

A Smartphone-Based Six-DOF Measurement Method With Marker Detector.

Yuchang Zhu, Yuan Huang, Yuanhong Li, Zhi Qiu, Zuoxi Zhao

IEEE Trans. Instrum. Meas., 2022

AutoMine: An Unmanned Mine Dataset.

Yuchen Li, Zixuan Li, Siyu Teng, Yu Zhang, Yuhang Zhou, Yuchang Zhu, Dongpu Cao, Bin Tian, Yunfeng Ai, Zhe Xuanyuan, Long Chen

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.

Zuoxi Zhao, Yuchang Zhu, Yuanhong Li, Zhi Qiu, Yangfan Luo, Chaoshi Xie, Zhuangzhuang Zhang

Sensors, 2020