Zhuonan Zheng

According to our database, Zhuonan Zheng authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

Enhancing Graph Condensation via Key Information Reconstruction.

Hongjia Xu, Sheng Zhou, Zhuonan Zheng, Qiaoyu Tan, Jiawei Chen, Jiajun Bu

IEEE Trans. Knowl. Data Eng., February, 2026

Contrastive learning unlocks geometric insights for dataset pruning.

Hongjia Xu, Sheng Zhou, Zhuonan Zheng, Ning Ma, Jiawei Chen, Jiajun Bu

Neural Networks, 2026

2025

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions.

Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester

ACM Comput. Surv., March, 2025

Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey.

Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Jiajun Bu

ACM Trans. Knowl. Discov. Data, 2025

Heterophilous distribution propagation for Graph Neural Networks.

Zhuonan Zheng, Sheng Zhou, Hongjia Xu, Ming Gu, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bu

Neural Networks, 2025

Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection.

Ming Gu, Gaoming Yang, Zhuonan Zheng, Meihan Liu, Haishuai Wang, Jiawei Chen, Sheng Zhou, Jiajun Bu

Neural Networks, 2025

2024

Universal Inceptive GNNs by Eliminating the Smoothness-generalization Dilemma.

Ming Gu, Zhuonan Zheng, Sheng Zhou, Meihan Liu, Jiawei Chen, Tanyu Qiao, Liangcheng Li, Jiajun Bu

CoRR, 2024

Revisiting the Message Passing in Heterophilous Graph Neural Networks.

Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu

CoRR, 2024

A Survey on Graph Condensation.

Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Jiajun Bu

CoRR, 2024