Yuchang Zhu

29 papers A* 5A 1B 2Journal 21
YearRankTypeTitle / Venue / Authors
2026 A* conf
GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization.
AAAI
Huizhe Zhang, Jintang Li, Yuchang Zhu, Huazhen Zhong, Liang Chen
2026 J jnl
SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding.
IEEE Trans. Knowl. Data Eng.
Yuchang Zhu, Jintang Li, Huizhe Zhang, Liang Chen, Zibin Zheng
2025 J jnl
Are Large Language Models In-Context Graph Learners?
CoRR
Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Liang Chen, Zibin Zheng
2025 J jnl
FairDLA: Improving the fairness-utility trade-off in graph neural networks via dual-level alignment.
Knowl. Based Syst.
Ying Zhen, Yuchang Zhu, Jintang Li, Liang Chen
2025 J jnl
GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization.
CoRR
Huizhe Zhang, Jintang Li, Yuchang Zhu, Liang Chen, Zibin Zheng
2025 J jnl
Heterophily-Aware Representation Learning on Heterogeneous Graphs.
IEEE Trans. Pattern Anal. Mach. Intell.
Jintang Li, Zheng Wei, Yuchang Zhu, Ruofan Wu, Huizhe Zhang, Liang Chen, Zibin Zheng
2025 A* conf
Measuring Diversity in Synthetic Datasets.
ICML
Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025 J jnl
Measuring Diversity in Synthetic Datasets.
CoRR
Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025 J jnl
SGNNBench: A Holistic Evaluation of Spiking Graph Neural Network on Large-scale Graph.
CoRR
Huizhe Zhang, Jintang Li, Yuchang Zhu, Liang Chen, Li Kuang
2025 J jnl
SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding.
CoRR
Yuchang Zhu, Jintang Li, Huizhe Zhang, Liang Chen, Zibin Zheng
2025 J jnl
What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning.
CoRR
Yuchang Zhu, Huazhen Zhong, Qunshu Lin, Haotong Wei, Xiaolong Sun, Zixuan Yu, Minghao Liu, Zibin Zheng, Liang Chen
2024 B conf
Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data.
IJCNN
Yuchang Zhu, Nanfeng Xiao
2024 A* conf
Fair Graph Representation Learning via Sensitive Attribute Disentanglement.
WWW
Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen
2024 J jnl
Fair Graph Representation Learning via Sensitive Attribute Disentanglement.
CoRR
Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen
2024 J jnl
FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation.
IEEE Trans. Comput. Soc. Syst.
Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng
2024 B conf
Lane Detection Method Based on Deformable Linear Convolution.
IJCNN
Yuchang Zhu, Nanfeng Xiao
2024 A* conf
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes.
KDD
Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen
2024 J jnl
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes.
CoRR
Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen
2024 J jnl
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective.
CoRR
Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen
2024 J jnl
Simple Scalable Multimodal Semantic Segmentation Model.
Sensors
Yuchang Zhu, Nanfeng Xiao
2024 A conf
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation.
WSDM
Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng
2023 J jnl
CLA: A self-supervised contrastive learning method for leaf disease identification with domain adaptation.
Comput. Electron. Agric.
Ruzhun Zhao, Yuchang Zhu, Yuanhong Li
2023 J jnl
Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs.
CoRR
Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen
2023 J jnl
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning.
CoRR
Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng
2023 J jnl
Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning.
CoRR
Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng
2023 J jnl
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation.
CoRR
Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng
2022 J jnl
A Smartphone-Based Six-DOF Measurement Method With Marker Detector.
IEEE Trans. Instrum. Meas.
Yuchang Zhu, Yuan Huang, Yuanhong Li, Zhi Qiu, Zuoxi Zhao
2022 A* conf
AutoMine: An Unmanned Mine Dataset.
CVPR
Yuchen Li, Zixuan Li, Siyu Teng, Yu Zhang, Yuhang Zhou, Yuchang Zhu, Dongpu Cao, Bin Tian, Yunfeng Ai, Zhe Xuanyuan, Long Chen
2020 J jnl
Multi-Camera-Based Universal Measurement Method for 6-DOF of Rigid Bodies in World Coordinate System.
Sensors
Zuoxi Zhao, Yuchang Zhu, Yuanhong Li, Zhi Qiu, Yangfan Luo, Chaoshi Xie, Zhuangzhuang Zhang