Wenxuan Tu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
11
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Federated Graph-level Clustering Network with Attribute Inference. | Renda Han, Junlong Wu, Wenxuan Tu, Jingxin Liu, Haotian Wang, Jieren Cheng |
| 2026 | AAAI | Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing. | Bowen Liu, Xin Peng, Wenxuan Tu, Chengyao Wei, Xiangyan Tang, Jieren Cheng, Miao Yu |
| 2026 | AAAI | Personalized Federated Graph-Level Clustering Network. | Jingxin Liu, Wenxuan Tu, Renda Han, Junlong Wu, Haotian Wang, Guohui Liu, Xiangyan Tang, Yue Yang |
| 2026 | AAAI | Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering. | Jingxin Liu, Wenxuan Tu, Haotian Wang, Renda Han, Haoyi Li, Junlong Wu, Xiangyan Tang |
| 2026 | AAAI | Anchor-Driven Nystrm for Deep Graph-Level Clustering. | Jiaxin Wang, Wenxuan Tu, Lingren Wang, Jieren Cheng, Yue Yang |
| 2026 | AAAI | FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment. | Moxuan Zeng, Wenxuan Tu, Yuanyi Chen, Yiying Wang, Miao Yu, Xiangyan Tang, Jieren Cheng |
| 2026 | ACL | Safe-FedLLM: Delving into the Safety of Federated Large Language Models. | Mingxiang Tao, Yu Tian, Wenxuan Tu, Yue Yang, Xue Yang, Xiangyan Tang |
| 2026 | WWW | FedCND: Federated Graph-Level Clustering under Inter-Client Cluster Number Discrepancy. | Junlong Wu, Renda Han, Wenxuan Tu, Jingxin Liu, Haotian Wang, Jieren Cheng |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Federated Graph-Level Clustering Network. | Jingxin Liu, Jieren Cheng, Renda Han, Wenxuan Tu, Jiaxin Wang, Xin Peng |
| 2025 | ICML | Federated Node-Level Clustering Network with Cross-Subgraph Link Mending. | Jingxin Liu, Renda Han, Wenxuan Tu, Haotian Wang, Junlong Wu, Jieren Cheng |
| 2025 | ICML | Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation. | Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu |
| 2025 | IJCNN | Dual Boost-Driven Graph-Level Clustering Network. | Renda Han, Wenxuan Tu, Junlong Wu, Wenxin Zhang, Jingxin Liu, Haotian Wang, Jieren Cheng, Huajie Lei, Guangzhen Yao, Lingren Wang, Mengfei Li, Yu Li |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Attribute-Missing Graph Clustering Network. | Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu |
| 2024 | AAAI | 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 |
| 2024 | ICLR | Deep Temporal Graph Clustering. | Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu |
| 2024 | ICML | 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 |
| 2024 | ISPA | TabSec: A Collaborative Framework for Novel Insider Threat Detection. | Zilin Huang, Xiangyan Tang, Hongyu Li, Xinyi Cao, Jieren Cheng, Wenxuan Tu, Logan Bo-Yee Liu |
| 2024 | MICCAI | Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation. | Fangqiang Xu, Wenxuan Tu, Fan Feng, Malitha Gunawardhana, Jiayuan Yang, Yun Gu, Jichao Zhao |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Cluster-Guided Contrastive Graph Clustering Network. | Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu |
| 2023 | SIGIR | Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. | Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu |
| 2022 | AAAI | Deep Graph Clustering via Dual Correlation Reduction. | Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu |
| 2022 | CVPR | Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. | Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu |
| 2022 | IJCAI | Attributed Graph Clustering with Dual Redundancy Reduction. | Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu |
| 2022 | IJCAI | 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 |
| 2021 | AAAI | Deep Fusion Clustering Network. | Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng |
| 2021 | ICML | 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 |