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ORCIDYuchang Zhu
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2020 – today
- 2024
[j5]Yuchang Zhu, Nanfeng Xiao:
Simple Scalable Multimodal Semantic Segmentation Model. Sensors 24(2): 699 (2024)- [j4]Yuchang Zhu
, Jintang Li, Liang Chen, Zibin Zheng:
FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation. IEEE Trans. Comput. Soc. Syst. 11(5): 6308-6319 (2024) - [c6]Yuchang Zhu, Nanfeng Xiao:
Lane Detection Method Based on Deformable Linear Convolution. IJCNN 2024: 1-6 - [c5]Yuchang Zhu, Nanfeng Xiao:
Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data. IJCNN 2024: 1-9 - [c4]Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen:
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. KDD 2024: 4688-4699 - [c3]Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng:
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. WSDM 2024: 1012-1021 - [c2]Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen:
Fair Graph Representation Learning via Sensitive Attribute Disentanglement. WWW 2024: 1182-1192 - [i7]Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen:
Fair Graph Representation Learning via Sensitive Attribute Disentanglement. CoRR abs/2405.07011 (2024) - [i6]Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen:
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. CoRR abs/2406.13544 (2024) - [i5]Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen:
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective. CoRR abs/2410.10241 (2024) - 2023
- [j3]Ruzhun Zhao, Yuchang Zhu, Yuanhong Li:
CLA: A self-supervised contrastive learning method for leaf disease identification with domain adaptation. Comput. Electron. Agric. 211: 107967 (2023) - [i4]Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng:
Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning. CoRR abs/2306.02117 (2023) - [i3]Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen:
Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR abs/2310.11664 (2023) - [i2]Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng:
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR abs/2311.16605 (2023) - [i1]Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng:
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. CoRR abs/2311.17373 (2023) - 2022
- [j2]Yuchang Zhu, Yuan Huang, Yuanhong Li, Zhi Qiu, Zuoxi Zhao:
A Smartphone-Based Six-DOF Measurement Method With Marker Detector. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [c1]Yuchen Li, Zixuan Li, Siyu Teng, Yu Zhang, Yuhang Zhou, Yuchang Zhu, Dongpu Cao, Bin Tian, Yunfeng Ai, Zhe Xuanyuan, Long Chen:
AutoMine: An Unmanned Mine Dataset. CVPR 2022: 21276-21285 - 2020
- [j1]Zuoxi Zhao, Yuchang Zhu, Yuanhong Li, Zhi Qiu, Yangfan Luo, Chaoshi Xie, Zhuangzhuang Zhang:
Multi-Camera-Based Universal Measurement Method for 6-DOF of Rigid Bodies in World Coordinate System. Sensors 20(19): 5547 (2020)
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