Tu, Wenxuan

21 publications

NeurIPS 2025 FedIGL: Federated Invariant Graph Learning for Non-IID Graphs Lingren Wang, Wenxuan Tu, Jiaxin Wang, Xiong Wang, Jieren Cheng, Jingxin Liu

AAAI 2025 Federated Graph-Level Clustering Network Jingxin Liu, Jieren Cheng, Renda Han, Wenxuan Tu, Jiaxin Wang, Xin Peng

ICML 2025 Federated Node-Level Clustering Network with Cross-Subgraph Link Mending Jingxin Liu, Renda Han, Wenxuan Tu, Haotian Wang, Junlong Wu, Jieren Cheng

NeurIPS 2025 Hierarchical Shortest-Path Graph Kernel Network Jiaxin Wang, Wenxuan Tu, Jieren Cheng

ICML 2025 Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu

AAAI 2025 Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data Renxiang Guan, Wenxuan Tu, Siwei Wang, Jiyuan Liu, Dayu Hu, Chang Tang, Yu Feng, Junhong Li, Baili Xiao, Xinwang Liu

AAAI 2024 A Non-Parametric Graph Clustering Framework for Multi-View Data Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu

AAAI 2024 Attribute-Missing Graph Clustering Network Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu

ICLR 2024 Deep Temporal Graph Clustering Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

AAAI 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu

AAAI 2024 MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu

ICML 2024 Towards Resource-Friendly, Extensible and Stable Incomplete Multi-View Clustering Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu

AAAI 2023 Cluster-Guided Contrastive Graph Clustering Network Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu

AAAI 2023 Hard Sample Aware Network for Contrastive Deep Graph Clustering Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen

NeurIPS 2022 Align Then Fusion: Generalized Large-Scale Multi-View Clustering with Anchor Matching Correspondences Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu

IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu

AAAI 2022 Deep Graph Clustering via Dual Correlation Reduction Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

CVPR 2022 Highly-Efficient Incomplete Large-Scale Multi-View Clustering with Consensus Bipartite Graph Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu

IJCAI 2022 Initializing Then Refining: A Simple Graph Attribute Imputation Network Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng

AAAI 2021 Deep Fusion Clustering Network Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng

ICML 2021 One Pass Late Fusion Multi-View Clustering Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu