| 2026 | AAAI | GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization. | Huizhe Zhang, Jintang Li, Yuchang Zhu, Huazhen Zhong, Liang Chen |
| 2025 | ICML | Measuring Diversity in Synthetic Datasets. | Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian |
| 2024 | IJCNN | Lane Detection Method Based on Deformable Linear Convolution. | Yuchang Zhu, Nanfeng Xiao |
| 2024 | IJCNN | Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data. | Yuchang Zhu, Nanfeng Xiao |
| 2024 | KDD | One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. | Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen |
| 2024 | WWW | Fair Graph Representation Learning via Sensitive Attribute Disentanglement. | Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen |
| 2024 | WSDM | The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. | Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng |
| 2022 | CVPR | 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 |