Wenxuan Tu

According to our database, Wenxuan Tu authored at least 68 papers between 2018 and 2025.

Collaborative distances:

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

2025

Sampling Enhanced Contrastive Multi-View Remote Sensing Data Clustering With Long-Short Range Information Mining.

Renxiang Guan, Tianrui Liu, Wenxuan Tu, Chang Tang, Wenhan Luo, Xinwang Liu

IEEE Trans. Knowl. Data Eng., September, 2025

WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Zhiping Cai, Yawei Zhao, Yue Liu, Kunlun He

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio.

Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu

CoRR, July, 2025

Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs.

Yaowen Hu, Wenxuan Tu, Yue Liu, Miaomiao Li, Wenpeng Lu, Zhigang Luo, Xinwang Liu, Ping Chen

CoRR, July, 2025

IIM-ARE: An Effective Interactive Incentive Mechanism Based on Adaptive Reputation Evaluation for Mobile Crowd Sensing.

Xiangyan Tang, Jingxin Liu, Keqiu Li, Wenxuan Tu, Xinbin Xu, Neal N. Xiong

IEEE Internet Things J., June, 2025

Improved Dual Correlation Reduction Network With Affinity Recovery.

Yue Liu, Sihang Zhou, Xihong Yang, Xinwang Liu, Wenxuan Tu, Liang Li, Xin Xu, Fuchun Sun

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment.

Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang Zhou, Xinbiao Gan, Xinwang Liu, Kunlun He

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network.

Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng

IEEE Trans. Neural Networks Learn. Syst., February, 2025

GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization.

Hao Yu, Ke Liang, Dayu Hu, Wenxuan Tu, Chuan Ma, Sihang Zhou, Xinwang Liu

IEEE Trans. Knowl. Data Eng., January, 2025

BSA-Net: Boundary-prioritized spatial adaptive network for efficient left atrial segmentation.

Fangqiang Xu, Wenxuan Tu, Fan Feng, Jiayuan Yang, Malitha Gunawardhana, Yun Gu, Junjian Huang, Jichao Zhao

Comput. Biol. Medicine, 2025

FedPKA: Federated Graph-Level Clustering Network with Personalized Knowledge Aggregation.

Junlong Wu, Haotian Wang, Jingxin Liu, Wenxuan Tu, Renda Han, Jieren Cheng, Xiangyan Tang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Federated Graph-Level Clustering Network.

Jingxin Liu, Jieren Cheng, Renda Han, Wenxuan Tu, Jiaxin Wang, Xin Peng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining.

Wenxuan Tu, Shaohua Kevin Zhou, Xinwang Liu, Chunpeng Ge, Zhiping Cai, Yue Liu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Simple Contrastive Graph Clustering.

Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Siwei Wang, Ke Liang, Wenxuan Tu, Liang Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

RARE: Robust Masked Graph Autoencoder.

Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He

IEEE Trans. Knowl. Data Eng., October, 2024

HSNet: An Intelligent Hierarchical Semantic-Aware Network System for Real-Time Semantic Segmentation.

Xin Peng, Jieren Cheng, Xiangyan Tang, Ziqi Deng, Wenxuan Tu, Neal Xiong

IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Deep Fusion Clustering Network With Reliable Structure Preservation.

Lei Gong, Wenxuan Tu, Sihang Zhou, Long Zhao, Zhe Liu, Xinwang Liu

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Multi-view graph imputation network.

Xin Peng, Jieren Cheng, Xiangyan Tang, Bin Zhang, Wenxuan Tu

Inf. Fusion, February, 2024

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure.

Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu

IEEE Trans. Knowl. Data Eng., January, 2024

Scalable and Structural Multi-View Graph Clustering With Adaptive Anchor Fusion.

Siwei Wang, Xinwang Liu, Suyuan Liu, Wenxuan Tu, En Zhu

IEEE Trans. Image Process., 2024

Spatial-Spectral Graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images.

Renxiang Guan, Wenxuan Tu, Zihao Li, Hao Yu, Dayu Hu, Yuzeng Chen, Chang Tang, Qiangqiang Yuan, Xinwang Liu

IEEE Trans. Geosci. Remote. Sens., 2024

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks.

Renxiang Guan, Zihao Li, Wenxuan Tu, Jun Wang, Yue Liu, Xianju Li, Chang Tang, Ruyi Feng

IEEE Trans. Geosci. Remote. Sens., 2024

GANN: Graph Alignment Neural Network for semi-supervised learning.

Linxuan Song, Wenxuan Tu, Sihang Zhou, En Zhu

Pattern Recognit., 2024

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning.

Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Suyuan Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Temporal Graph Clustering.

Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Attribute-Missing Graph Clustering Network.

Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

scDFC: A deep fusion clustering method for single-cell RNA-seq data.

Dayu Hu, Ke Liang, Sihang Zhou, Wenxuan Tu, Meng Liu, Xinwang Liu

Briefings Bioinform., July, 2023

Message Intercommunication for Inductive Relation Reasoning.

Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu

CoRR, 2023

RARE: Robust Masked Graph Autoencoder.

Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai

CoRR, 2023

GANN: Graph Alignment Neural Network for Semi-Supervised Learning.

Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2023

Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network.

Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng

CoRR, 2023

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment.

Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification.

Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Spare simple MKKM with semi-infinite linear program optimization.

Yuxin Huang, Miaomiao Li, Wenxuan Tu, Jiyuan Liu, Jiahao Ying

Int. J. Intell. Syst., 2022

MIFNet: A lightweight multiscale information fusion network.

Jieren Cheng, Xin Peng, Xiangyan Tang, Wenxuan Tu, Wenhang Xu

Int. J. Intell. Syst., 2022

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun

CoRR, 2022

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application.

Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu

CoRR, 2022

Relational Symmetry based Knowledge Graph Contrastive Learning.

Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu

CoRR, 2022

Improved Dual Correlation Reduction Network.

Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Attributed Graph Clustering with Dual Redundancy Reduction.

Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Graph Clustering via Dual Correlation Reduction.

Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

DFFNet: An IoT-perceptive dual feature fusion network for general real-time semantic segmentation.

Xiangyan Tang, Wenxuan Tu, Keqiu Li, Jieren Cheng

Inf. Sci., 2021

Siamese Attribute-missing Graph Auto-encoder.

Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu

CoRR, 2021

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement.

Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan

CoRR, 2021

Deep Distribution-preserving Incomplete Clustering with Optimal Transport.

Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu

CoRR, 2021

Scalable Multi-view Subspace Clustering with Unified Anchors.

Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Self-Representation Subspace Clustering for Incomplete Multi-view Data.

Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

Deep Fusion Clustering Network.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Context-Integrated and Feature-Refined Network for Lightweight Object Parsing.

Bin Jiang, Wenxuan Tu, Chao Yang, Junsong Yuan

IEEE Trans. Image Process., 2020

Hybrid Dilated Convolution Network Using Attentive Kernels for Real-Time Semantic Segmentation.

Jiankai He, Bin Jiang, Chao Yang, Wenxuan Tu

Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

2019

Context-Integrated and Feature-Refined Network for Lightweight Urban Scene Parsing.

Bin Jiang, Wenxuan Tu, Chao Yang, Junsong Yuan

CoRR, 2019

DDoS Attack Detection Method Based on V-Support Vector Machine.

Xiangyan Tang, Rui Cao, Jieren Cheng, Dong Fan, Wenxuan Tu

Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

2018

ECNet: An Efficient and Context-Aware Network for Street Scene Parsing.

Bin Jiang, Wenxuan Tu, Chao Yang, Yi Xiao

Proceedings of the 9th International Symposium on Parallel Architectures, 2018