Hongjia Xu

11 papers A* 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrastive learning unlocks geometric insights for dataset pruning.
Neural Networks
Hongjia Xu, Sheng Zhou, Zhuonan Zheng, Ning Ma, Jiawei Chen, Jiajun Bu
2026 J jnl
Enhancing Graph Condensation via Key Information Reconstruction.
IEEE Trans. Knowl. Data Eng.
Hongjia Xu, Sheng Zhou, Zhuonan Zheng, Qiaoyu Tan, Jiawei Chen, Jiajun Bu
2025 J jnl
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions.
ACM Comput. Surv.
Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
2025 J jnl
Heterophilous distribution propagation for Graph Neural Networks.
Neural Networks
Zhuonan Zheng, Sheng Zhou, Hongjia Xu, Ming Gu, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bu
2025 J jnl
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey.
ACM Trans. Knowl. Discov. Data
Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Jiajun Bu
2024 J jnl
A Survey on Graph Condensation.
CoRR
Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Jiajun Bu
2024 J jnl
Heterophilous Distribution Propagation for Graph Neural Networks.
CoRR
Zhuonan Zheng, Sheng Zhou, Hongjia Xu, Ming Gu, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bu
2024 J jnl
Revisiting the Message Passing in Heterophilous Graph Neural Networks.
CoRR
Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu
2022 J jnl
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions.
CoRR
Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
2022 A* conf
Hilbert Distillation for Cross-Dimensionality Networks.
NeurIPS
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu
2022 J jnl
Hilbert Distillation for Cross-Dimensionality Networks.
CoRR
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu