ECNet: An Efficient and Context-Aware Network for Street Scene Parsing. - Bin Jiang 006; Wenxuan Tu; Chao Yang 015; Yi Xiao (PAAP, 2018)

DDoS Attack Detection Method Based on V-Support Vector Machine. - Xiangyan Tang; Rui Cao; Jieren Cheng; Dong Fan; Wenxuan Tu (CSS (2), 2019)

Context-Integrated and Feature-Refined Network for Lightweight Urban Scene Parsing. - Bin Jiang 006; Wenxuan Tu; Chao Yang 015; Junsong Yuan 001 (CoRR, 2019)

Hybrid Dilated Convolution Network Using Attentive Kernels for Real-Time Semantic Segmentation. - Jiankai He; Bin Jiang 006; Chao Yang 015; Wenxuan Tu (PRCV (1), 2020)

Context-Integrated and Feature-Refined Network for Lightweight Object Parsing. - Bin Jiang 006; Wenxuan Tu; Chao Yang 015; Junsong Yuan 001 (IEEE Trans. Image Process., 2020)

Deep Fusion Clustering Network. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Xifeng Guo 001; Zhiping Cai; En Zhu; Jieren Cheng (AAAI, 2021)

One Pass Late Fusion Multi-view Clustering. - Xinwang Liu 002; Li Liu 002; Qing Liao 001; Siwei Wang 001; Yi Zhang 104; Wenxuan Tu; Chang Tang; Jiyuan Liu 003; En Zhu (ICML, 2021)

Self-Representation Subspace Clustering for Incomplete Multi-view Data. - Jiyuan Liu 003; Xinwang Liu 002; Yi Zhang 104; Pei Zhang 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Weixuan Liang; Siqi Wang 001; Yuexiang Yang (ACM Multimedia, 2021)

Scalable Multi-view Subspace Clustering with Unified Anchors. - Mengjing Sun; Pei Zhang 008; Siwei Wang 001; Sihang Zhou 001; Wenxuan Tu; Xinwang Liu 002; En Zhu; Changjian Wang (ACM Multimedia, 2021)

Deep Distribution-preserving Incomplete Clustering with Optimal Transport. - Mingjie Luo; Siwei Wang 001; Xinwang Liu 002; Wenxuan Tu; Yi Zhang 104; Xifeng Guo 001; Sihang Zhou 001; En Zhu (CoRR, 2021)

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement. - Chen Zhang; Siwei Wang 001; Wenxuan Tu; Pei Zhang 008; Xinwang Liu 002; Changwang Zhang; Bo Yuan (CoRR, 2021)

Siamese Attribute-missing Graph Auto-encoder. - Wenxuan Tu; Sihang Zhou 001; Yue Liu 008; Xinwang Liu 002 (CoRR, 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)

Deep Graph Clustering via Dual Correlation Reduction. - Yue Liu 008; Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Linxuan Song; Xihong Yang; En Zhu (AAAI, 2022)

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. - Siwei Wang 001; Xinwang Liu 002; Li Liu 002; Wenxuan Tu; Xinzhong Zhu; Jiyuan Liu 003; Sihang Zhou 001; En Zhu (CVPR, 2022)

Attributed Graph Clustering with Dual Redundancy Reduction. - Lei Gong; Sihang Zhou 001; Wenxuan Tu; Xinwang Liu 002 (IJCAI, 2022)

Initializing Then Refining: A Simple Graph Attribute Imputation Network. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Yue Liu 008; Zhiping Cai; En Zhu; Changwang Zhang; Jieren Cheng (IJCAI, 2022)

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. - Siwei Wang 001; Xinwang Liu 002; Suyuan Liu; Jiaqi Jin; Wenxuan Tu; Xinzhong Zhu; En Zhu (NeurIPS, 2022)

Improved Dual Correlation Reduction Network. - Yue Liu 008; Sihang Zhou 001; Xinwang Liu 002; Wenxuan Tu; Xihong Yang (CoRR, 2022)

Relational Symmetry based Knowledge Graph Contrastive Learning. - Ke Liang 006; Yue Liu 008; Sihang Zhou 001; Xinwang Liu 002; Wenxuan Tu (CoRR, 2022)

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. - Yue Liu 008; Jun Xia 001; Sihang Zhou 001; Siwei Wang 001; Xifeng Guo 001; Xihong Yang; Ke Liang 006; Wenxuan Tu; Stan Z. Li; Xinwang Liu 002 (CoRR, 2022)

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Fuchun Sun 001 (CoRR, 2022)

MIFNet: A lightweight multiscale information fusion network. - Jieren Cheng; Xin Peng; Xiangyan Tang; Wenxuan Tu; Wenhang Xu (Int. J. Intell. Syst., 2022)

Spare simple MKKM with semi-infinite linear program optimization. - Yuxin Huang; Miaomiao Li 001; Wenxuan Tu; Jiyuan Liu 003; Jiahao Ying (Int. J. Intell. Syst., 2022)

Hard Sample Aware Network for Contrastive Deep Graph Clustering. - Yue Liu 008; Xihong Yang; Sihang Zhou 001; Xinwang Liu 002; Zhen Wang; Ke Liang 006; Wenxuan Tu; Liang Li; Jingcan Duan; Cancan Chen (AAAI, 2023)

Cluster-Guided Contrastive Graph Clustering Network. - Xihong Yang; Yue Liu 008; Sihang Zhou 001; Siwei Wang 001; Wenxuan Tu; Qun Zheng; Xinwang Liu 002; Liming Fang 001; En Zhu (AAAI, 2023)

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. - Meng Liu 014; Ke Liang 006; Dayu Hu; Hao Yu 017; Yue Liu 008; Lingyuan Meng; Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002 (ACM Multimedia, 2023)

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (SIGIR, 2023)

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. - Meng Liu 014; Ke Liang 006; Bin Xiao 001; Sihang Zhou 001; Wenxuan Tu; Yue Liu 008; Xihong Yang; Xinwang Liu 002 (CoRR, 2023)

Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. - Wenxuan Tu; Bin Xiao 001; Xinwang Liu 002; Sihang Zhou 001; Zhiping Cai; Jieren Cheng (CoRR, 2023)

GANN: Graph Alignment Neural Network for Semi-Supervised Learning. - Linxuan Song; Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; En Zhu (CoRR, 2023)

RARE: Robust Masked Graph Autoencoder. - Wenxuan Tu; Qing Liao 001; Sihang Zhou 001; Xin Peng; Chuan Ma 001; Zhe Liu 001; Xinwang Liu 002; Zhiping Cai (CoRR, 2023)

Message Intercommunication for Inductive Relation Reasoning. - Ke Liang 006; Lingyuan Meng; Sihang Zhou 001; Siwei Wang 001; Wenxuan Tu; Yue Liu 008; Meng Liu 014; Xinwang Liu 002 (CoRR, 2023)

scDFC: A deep fusion clustering method for single-cell RNA-seq data. - Dayu Hu; Ke Liang 006; Sihang Zhou 001; Wenxuan Tu; Meng Liu 014; Xinwang Liu 002 (Briefings Bioinform., 2023)

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. - Ke Liang 006; Sihang Zhou 001; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Yi Zhang 104; Liming Fang 001; Zhe Liu 001; Xinwang Liu 002 (AAAI, 2024)

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. - Ke Liang 006; Lingyuan Meng; Sihang Zhou 001; Wenxuan Tu; Siwei Wang 001; Yue Liu 008; Meng Liu 014; Long Zhao 002; Xiangjun Dong 001; Xinwang Liu 002 (AAAI, 2024)

Attribute-Missing Graph Clustering Network. - Wenxuan Tu; Renxiang Guan; Sihang Zhou 001; Chuan Ma 001; Xin Peng; Zhiping Cai; Zhe Liu 001; Jieren Cheng; Xinwang Liu 002 (AAAI, 2024)

A Non-parametric Graph Clustering Framework for Multi-View Data. - Shengju Yu; Siwei Wang 001; Zhibin Dong; Wenxuan Tu; Suyuan Liu; Zhao Lv; Pan Li; Miao Wang; En Zhu (AAAI, 2024)

Deep Temporal Graph Clustering. - Meng Liu 014; Yue Liu 008; Ke Liang 006; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (ICLR, 2024)

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering. - Shengju Yu; Zhibin Dong; Siwei Wang 001; Xinhang Wan; Yue Liu 008; Weixuan Liang; Pei Zhang 008; Wenxuan Tu; Xinwang Liu 002 (ICML, 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 (ISPA, 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 (MICCAI (8), 2024)

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. - Ke Liang 006; Lingyuan Meng; Yue Liu 008; Meng Liu 014; Wei Wei; Suyuan Liu; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (ACM Multimedia, 2024)

GANN: Graph Alignment Neural Network for semi-supervised learning. - Linxuan Song; Wenxuan Tu; Sihang Zhou 001; En Zhu (Pattern Recognit., 2024)

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. - Renxiang Guan; Zihao Li; Wenxuan Tu; Jun Wang 118; Yue Liu 008; Xianju Li; Chang Tang; Ruyi Feng (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatial-Spectral Graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images. - Renxiang Guan; Wenxuan Tu; Zihao Li; Hao Yu 017; Dayu Hu; Yuzeng Chen; Chang Tang; Qiangqiang Yuan; Xinwang Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

Scalable and Structural Multi-View Graph Clustering With Adaptive Anchor Fusion. - Siwei Wang 001; Xinwang Liu 002; Suyuan Liu; Wenxuan Tu; En Zhu (IEEE Trans. Image Process., 2024)

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. - Ke Liang 006; Yue Liu 008; Sihang Zhou 001; Wenxuan Tu; Yi Wen 001; Xihong Yang; Xiangjun Dong 001; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Multi-view graph imputation network. - Xin Peng; Jieren Cheng; Xiangyan Tang; Bin Zhang; Wenxuan Tu (Inf. Fusion, 2024)

Deep Fusion Clustering Network With Reliable Structure Preservation. - Lei Gong; Wenxuan Tu; Sihang Zhou 001; Long Zhao 002; Zhe Liu 001; Xinwang Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 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 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

RARE: Robust Masked Graph Autoencoder. - Wenxuan Tu; Qing Liao 001; Sihang Zhou 001; Xin Peng; Chuan Ma 001; Zhe Liu 001; Xinwang Liu 002; Zhiping Cai; Kunlun He (IEEE Trans. Knowl. Data Eng., 2024)

Simple Contrastive Graph Clustering. - Yue Liu 008; Xihong Yang; Sihang Zhou 001; Xinwang Liu 002; Siwei Wang 001; Ke Liang 006; Wenxuan Tu; Liang Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining. - Wenxuan Tu; Shaohua Kevin Zhou; Xinwang Liu 002; Chunpeng Ge 001; Zhiping Cai; Yue Liu 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Fuchun Sun 001; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data. - Renxiang Guan; Wenxuan Tu; Siwei Wang 001; Jiyuan Liu 003; Dayu Hu; Chang Tang; Yu Feng; Junhong Li; Baili Xiao; Xinwang Liu 002 (AAAI, 2025)

Federated Graph-Level Clustering Network. - Jingxin Liu 006; Jieren Cheng; Renda Han; Wenxuan Tu; Jiaxin Wang; Xin Peng (AAAI, 2025)

FedPKA: Federated Graph-Level Clustering Network with Personalized Knowledge Aggregation. - Junlong Wu; Haotian Wang; Jingxin Liu 006; Wenxuan Tu; Renda Han; Jieren Cheng; Xiangyan Tang (ICIC (16), 2025)

Dual Boost-Driven Graph-Level Clustering Network. - Renda Han; Wenxuan Tu; Junlong Wu; Wenxin Zhang; Jingxin Liu 006; Haotian Wang; Jieren Cheng; Huajie Lei; Guangzhen Yao; Lingren Wang; Mengfei Li; Yu Li (IJCNN, 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)

GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization. - Hao Yu 017; Ke Liang 006; Dayu Hu; Wenxuan Tu; Chuan Ma 001; Sihang Zhou 001; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2025)

Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. - Wenxuan Tu; Bin Xiao 002; Xinwang Liu 002; Sihang Zhou 001; Zhiping Cai; Jieren Cheng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment. - Meng Liu 014; Ke Liang 006; Yawei Zhao; Wenxuan Tu; Sihang Zhou 001; Xinbiao Gan; Xinwang Liu 002; Kunlun He (IEEE Trans. Neural Networks Learn. Syst., 2025)

Improved Dual Correlation Reduction Network With Affinity Recovery. - Yue Liu 008; Sihang Zhou 001; Xihong Yang; Xinwang Liu 002; Wenxuan Tu; Liang Li; Xin Xu 001; Fuchun Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

IIM-ARE: An Effective Interactive Incentive Mechanism Based on Adaptive Reputation Evaluation for Mobile Crowd Sensing. - Xiangyan Tang; Jingxin Liu 006; Keqiu Li; Wenxuan Tu; Xinbin Xu; Neal N. Xiong (IEEE Internet Things J., 2025)

Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs. - Yaowen Hu; Wenxuan Tu; Yue Liu 008; Miaomiao Li 001; Wenpeng Lu; Zhigang Luo; Xinwang Liu 002; Ping Chen (CoRR, 2025)

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio. - Yaowen Hu; Wenxuan Tu; Yue Liu 008; Xinhang Wan; Junyi Yan; Taichun Zhou; Xinwang Liu 002 (CoRR, 2025)

WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Zhiping Cai; Yawei Zhao; Yue Liu 008; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Sampling Enhanced Contrastive Multi-View Remote Sensing Data Clustering With Long-Short Range Information Mining. - Renxiang Guan; Tianrui Liu 001; Wenxuan Tu; Chang Tang; Wenhan Luo; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2025)

Adaptive feature boosting and distribution refinement for graph clustering. - Jingxin Liu 006; Xiangyan Tang; Renda Han; Wenxuan Tu; Ruili Wang (Pattern Recognit., 2026)