VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. - Pengfei Zhu 001; Longyin Wen; Dawei Du; Xiao Bian; Haibin Ling; Qinghua Hu; Qinqin Nie; Hao Cheng 010; Chenfeng Liu; Xiaoyu Liu 005; Wenya Ma; Haotian Wu 006; et al. (ECCV Workshops (5), 2018)

Multi-view Clustering via Late Fusion Alignment Maximization. - Siwei Wang 001; Xinwang Liu 002; En Zhu; Chang Tang; Jiyuan Liu 003; Jingtao Hu; Jingyuan Xia; Jianping Yin (IJCAI, 2019)

Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression. - Jingtao Hu; En Zhu; Siqi Wang 001; Siwei Wang 001; Xinwang Liu 002; Jianping Yin (IJCNN, 2019)

Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. - Jingtao Hu; Miaomiao Li 001; En Zhu; Siwei Wang 001; Xinwang Liu 002; Yongping Zhai (IEEE Access, 2019)

Magnetic Anomaly Detection Based on Full Connected Neural Network. - Shuchang Liu 002; Jiafei Hu; Peisen Li; Chengbiao Wan; Zhuo Chen 005; Mengchun Pan; Qi Zhang 068; Zhongyan Liu; Siwei Wang 001; Dixiang Chen; Jingtao Hu; Xue Pan (IEEE Access, 2019)

K-Means Clustering With Incomplete Data. - Siwei Wang 001; Miaomiao Li 001; Ning Hu; En Zhu; Jingtao Hu; Xinwang Liu 002; Jianping Yin (IEEE Access, 2019)

Efficient Multiple Kernel k-Means Clustering With Late Fusion. - Siwei Wang 001; En Zhu; Jingtao Hu; Miaomiao Li 001; Kaikai Zhao; Ning Hu; Xinwang Liu 002 (IEEE Access, 2019)

CBNet: A Novel Composite Backbone Network Architecture for Object Detection. - Yudong Liu; Yongtao Wang; Siwei Wang 001; Tingting Liang; Qijie Zhao; Zhi Tang 001; Haibin Ling (AAAI, 2020)

Anchor-Based Multiview Subspace Clustering With Diversity Regularization. - Qiyuan Ou; Siwei Wang 001; Sihang Zhou 001; Miaomiao Li 001; Xifeng Guo 001; En Zhu (IEEE Multim., 2020)

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering. - Pei Zhang 008; Siwei Wang 001; Jingtao Hu; Zhen Cheng 004; Xifeng Guo 001; En Zhu; Zhiping Cai (Sensors, 2020)

Hierarchical Multiple Kernel Clustering. - Jiyuan Liu 003; Xinwang Liu 002; Siwei Wang 001; Sihang Zhou 001; Yuexiang Yang (AAAI, 2021)

Unified and View-Specific Multiple Kernel K-Means Clustering. - Yujing Zhang; Siwei Wang 001; En Zhu (DEXA (1), 2021)

Localized Simple Multiple Kernel K-means. - Xinwang Liu 002; Sihang Zhou 001; Li Liu 002; Chang Tang; Siwei Wang 001; Jiyuan Liu 003; Yi Zhang 104 (ICCV, 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)

One-Stage Incomplete Multi-view Clustering via Late Fusion. - Yi Zhang 104; Xinwang Liu 002; Siwei Wang 001; Jiyuan Liu 003; Sisi Dai; En Zhu (ACM Multimedia, 2021)

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. - Chen Zhang; Siwei Wang 001; Jiyuan Liu 003; Sihang Zhou 001; Pei Zhang 008; Xinwang Liu 002; En Zhu; Changwang Zhang (ACM Multimedia, 2021)

Multi-object Tracking with a Hierarchical Single-branch Network. - Fan Wang; Lei Luo 002; En Zhu; Siwei Wang 001; Jun Long (CoRR, 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)

Improved autoencoder for unsupervised anomaly detection. - Zhen Cheng 004; Siwei Wang 001; Pei Zhang 008; Siqi Wang 001; Xinwang Liu 002; En Zhu (Int. J. Intell. Syst., 2021)

Partial multiview clustering with locality graph regularization. - Huiqiang Lian; Huiying Xu; Siwei Wang 001; Miaomiao Li 001; Xinzhong Zhu; Xinwang Liu 002 (Int. J. Intell. Syst., 2021)

Multiple kernel clustering with late fusion consensus local graph preserving. - Yujing Zhang; Siwei Wang 001; Xinwang Liu 002; En Zhu (Int. J. Intell. Syst., 2021)

Gaussian Mixture Model Clustering with Incomplete Data. - Yi Zhang 104; Miaomiao Li 001; Siwei Wang 001; Sisi Dai; Lei Luo 002; En Zhu; Huiying Xu; Xinzhong Zhu; Chaoyun Yao; Haoran Zhou (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Robust Graph-Based Multi-View Clustering. - Weixuan Liang; Xinwang Liu 002; Sihang Zhou 001; Jiyuan Liu 003; Siwei Wang 001; En Zhu (AAAI, 2022)

Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors. - Suyuan Liu; Siwei Wang 001; Pei Zhang 008; Kai Xu 004; Xinwang Liu 002; Changwang Zhang; Feng Gao (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)

Sample Weighted Multiple Kernel K-means via Min-Max optimization. - Yi Zhang 104; Weixuan Liang; Xinwang Liu 002; Sisi Dai; Siwei Wang 001; Liyang Xu; En Zhu (ACM Multimedia, 2022)

Multiple Kernel Clustering with Dual Noise Minimization. - Junpu Zhang; Liang Li; Siwei Wang 001; Jiyuan Liu 003; Yue Liu 008; Xinwang Liu 002; En Zhu (ACM Multimedia, 2022)

Multi-object Tracking with a Hierarchical Single-Branch Network. - Fan Wang; Lei Luo 002; En Zhu; Siwei Wang 001 (MMM (2), 2022)

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel. - Weixuan Liang; Xinwang Liu 002; Yong Liu 018; Sihang Zhou 001; Jun-Jie Huang 001; Siwei Wang 001; Jiyuan Liu 003; Yi Zhang 104; En Zhu (NeurIPS, 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)

Late Fusion Multi-view Clustering via Global and Local Alignment Maximization. - Siwei Wang 001; Xinwang Liu 002; En Zhu (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)

GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning. - Jingcan Duan; Siwei Wang 001; Xinwang Liu 002; Haifang Zhou; Jingtao Hu; Hu Jin (CoRR, 2022)

Contrastive Deep Graph Clustering with Learnable Augmentation. - Xihong Yang; Yue Liu 008; Sihang Zhou 001; Siwei Wang 001; Xinwang Liu 002; En Zhu (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)

Auxiliary Graph for Attribute Graph Clustering. - Wang Li; Siwei Wang 001; Xifeng Guo 001; Zhenyu Zhou; En Zhu (Entropy, 2022)

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance. - Siwei Wang 001; Xinwang Liu 002; Xinzhong Zhu; Pei Zhang 008; Yi Zhang 104; Feng Gao; En Zhu (IEEE Trans. Image Process., 2022)

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix. - Weixuan Liang; Sihang Zhou 001; Jian Xiong 002; Xinwang Liu 002; Siwei Wang 001; En Zhu; Zhiping Cai; Xin Xu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels. - Jiyuan Liu 003; Xinwang Liu 002; Jian Xiong 002; Qing Liao 001; Sihang Zhou 001; Siwei Wang 001; Yuexiang Yang (IEEE Trans. Knowl. Data Eng., 2022)

Projective Multiple Kernel Subspace Clustering. - Mengjing Sun; Siwei Wang 001; Pei Zhang 008; Xinwang Liu 002; Xifeng Guo 001; Sihang Zhou 001; En Zhu (IEEE Trans. Multim., 2022)

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering. - Pei Zhang 008; Siwei Wang 001; Liang Li; Changwang Zhang; Xinwang Liu 002; En Zhu; Zhe Liu 001; Lu Zhou 002; Lei Luo 002 (AAAI, 2023)

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. - Jingcan Duan; Siwei Wang 001; Pei Zhang 008; En Zhu; Jingtao Hu; Hu Jin; Yue Liu 008; Zhibin Dong (AAAI, 2023)

Auto-Weighted Multi-View Clustering for Large-Scale Data. - Xinhang Wan; Xinwang Liu 002; Jiyuan Liu 003; Siwei Wang 001; Yi Wen 001; Weixuan Liang; En Zhu; Zhe Liu 001; Lu Zhou 002 (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)

Attributed Graph Subspace Clustering with Graph-Boosting. - Wang Li; En Zhu; Siwei Wang 001; Xifeng Guo 001 (ACML, 2023)

Iterative Encode-and-Decode Graph Neural Network. - Linxuan Song; Siwei Wang 001; Sihang Zhou 001; En Zhu (ADMA (4), 2023)

Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment. - Jiaqi Jin; Siwei Wang 001; Zhibin Dong; Xinwang Liu 002; En Zhu (CVPR, 2023)

Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering. - Zhibin Dong; Siwei Wang 001; Jiaqi Jin; Xinwang Liu 002; En Zhu (ICCV, 2023)

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. - Jingcan Duan; Pei Zhang 008; Siwei Wang 001; Jingtao Hu; Hu Jin; Jiaxin Zhang 030; Haifang Zhou; Xinwang Liu 002 (ACM Multimedia, 2023)

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. - Yi Wen 001; Suyuan Liu; Xinhang Wan; Siwei Wang 001; Ke Liang 006; Xinwang Liu 002; Xihong Yang; Pei Zhang 008 (ACM Multimedia, 2023)

Scalable Incomplete Multi-View Clustering with Structure Alignment. - Yi Wen 001; Siwei Wang 001; Ke Liang 006; Weixuan Liang; Xinhang Wan; Xinwang Liu 002; Suyuan Liu; Jiyuan Liu 003; En Zhu (ACM Multimedia, 2023)

DealMVC: Dual Contrastive Calibration for Multi-view Clustering. - Xihong Yang; Jiaqi Jin; Siwei Wang 001; Ke Liang 006; Yue Liu 008; Yi Wen 001; Suyuan Liu; Sihang Zhou 001; Xinwang Liu 002; En Zhu (ACM Multimedia, 2023)

CONVERT: Contrastive Graph Clustering with Reliable Augmentation. - Xihong Yang; Cheng Tan 012; Yue Liu 008; Ke Liang 006; Siwei Wang 001; Sihang Zhou 001; Jun Xia 001; Stan Z. Li; Xinwang Liu 002; En Zhu (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)

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

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. - Meng Liu 014; Ke Liang 006; Yue Liu 008; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (CoRR, 2023)

One-step Multi-view Clustering with Diverse Representation. - Xinhang Wan; Jiyuan Liu 003; Xinwang Liu 002; Siwei Wang 001; Yi Wen 001; Tianjiao Wan; Li Shen 007; En Zhu (CoRR, 2023)

Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters. - Dayu Hu; Zhibin Dong; Ke Liang 006; Jun Wang 118; Siwei Wang 001; Xinwang Liu 002 (CoRR, 2023)

Deep graph clustering with multi-level subspace fusion. - Wang Li; Siwei Wang 001; Xifeng Guo 001; En Zhu (Pattern Recognit., 2023)

Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization. - Tiejian Zhang; Xinwang Liu 002; Lei Gong; Siwei Wang 001; Xin Niu; Li Shen 007 (IEEE Trans. Multim., 2023)

Multiple Kernel Clustering With Compressed Subspace Alignment. - Sihang Zhou 001; Qiyuan Ou; Xinwang Liu 002; Siqi Wang 001; Luyan Liu; Siwei Wang 001; En Zhu; Jianping Yin; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement. - Siwei Wang 001; Xinwang Liu 002; Li Liu 002; Sihang Zhou 001; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Graph Clustering with High-Order Contrastive Learning. - Wang Li; En Zhu; Siwei Wang 001; Xifeng Guo 001 (Entropy, 2023)

Multi-View Fuzzy Classification With Subspace Clustering and Information Granules. - Xingchen Hu; Xinwang Liu 002; Witold Pedrycz; Qing Liao 001; Yinghua Shen; Yan Li 003; Siwei Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter. - Liang Li; Junpu Zhang; Siwei Wang 001; Xinwang Liu 002; Kenli Li 001; Keqin Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

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)

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. - Suyuan Liu; Junpu Zhang; Yi Wen 001; Xihong Yang; Siwei Wang 001; Yi Zhang 104; En Zhu; Chang Tang; Long Zhao 002; Xinwang Liu 002 (AAAI, 2024)

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering. - Shengju Yu; Siwei Wang 001; Pei Zhang 008; Miao Wang; Ziming Wang; Zhe Liu 001; Liming Fang 001; En Zhu; 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)

Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering. - Suyuan Liu; Ke Liang 006; Zhibin Dong; Siwei Wang 001; Xihong Yang; Sihang Zhou 001; En Zhu; Xinwang Liu 002 (CVPR, 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)

Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information. - Xinhang Wan; Jiyuan Liu 003; Xinwang Liu 002; Yi Wen 001; Hao Yu; Siwei Wang 001; Shengju Yu; Tianjiao Wan; Jun Wang 118; En Zhu (ICML, 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)

Unsupervised Graph Anomaly Detection on Directed Attribute Network. - Haoyang Li; Siwei Wang 001; Xinwang Liu 002; Xinbiao Gan (IJCNN, 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)

Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation. - Dayu Hu; Suyuan Liu; Jun Wang 118; Junpu Zhang; Siwei Wang 001; Xingchen Hu; Xinzhong Zhu; Chang Tang; Xinwang Liu 002 (ACM Multimedia, 2024)

Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering. - Huimin Ma; Siwei Wang 001; Shengju Yu; Suyuan Liu; Junjie Huang 001; Huijun Wu 001; Xinwang Liu 002; En Zhu (ACM Multimedia, 2024)

View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering. - Fangdi Wang; Jiaqi Jin; Zhibin Dong; Xihong Yang; Yu Feng; Xinwang Liu 002; Xinzhong Zhu; Siwei Wang 001; Tianrui Liu 001; En Zhu (ACM Multimedia, 2024)

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation. - Xihong Yang; Erxue Min; Ke Liang 006; Yue Liu 008; Siwei Wang 001; Sihang Zhou 001; Huijun Wu 001; Xinwang Liu 002; En Zhu (ACM Multimedia, 2024)

Test-Time Training on Graphs with Large Language Models (LLMs). - Jiaxin Zhang 030; Yiqi Wang 001; Xihong Yang; Siwei Wang 001; Yu Feng; Yu Shi; Ruichao Ren; En Zhu; Xinwang Liu 002 (ACM Multimedia, 2024)

Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding. - Ke Liang 006; Yue Liu 008; Hao Li 025; Lingyuan Meng; Suyuan Liu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (NeurIPS, 2024)

Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering. - Suyuan Liu; Siwei Wang 001; Ke Liang 006; Junpu Zhang; Zhibin Dong; Tianrui Liu 001; En Zhu; Xinwang Liu 002; Kunlun He (NeurIPS, 2024)

Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering. - Fangdi Wang; Jiaqi Jin; Jingtao Hu; Suyuan Liu; Xihong Yang; Siwei Wang 001; Xinwang Liu 002; En Zhu (NeurIPS, 2024)

Anchor-based multi-view subspace clustering with hierarchical feature descent. - Qiyuan Ou; Siwei Wang 001; Pei Zhang 008; Sihang Zhou 001; En Zhu (Inf. Fusion, 2024)

Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information. - Qun Zheng; Xihong Yang; Siwei Wang 001; Xinru An; Qi Liu 038 (Neural Networks, 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)

Robust and Consistent Anchor Graph Learning for Multi-View Clustering. - Suyuan Liu; Qing Liao 001; Siwei Wang 001; Xinwang Liu 002; En Zhu (IEEE Trans. Knowl. Data Eng., 2024)

Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph. - Miaomiao Li 001; Siwei Wang 001; Xinwang Liu 002; Suyuan Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph. - Liang Li; Siwei Wang 001; Xinwang Liu 002; En Zhu; Li Shen 007; Kenli Li 001; Keqin Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

How to Construct Corresponding Anchors for Incomplete Multiview Clustering. - Shengju Yu; Siwei Wang 001; Yi Wen 001; Ziming Wang; Zhigang Luo; En Zhu; Xinwang Liu 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Fast Incomplete Multi-View Clustering With View-Independent Anchors. - Suyuan Liu; Xinwang Liu 002; Siwei Wang 001; Xin Niu; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2024)

High-order Topology for Deep Single-Cell Multiview Fuzzy Clustering. - Dayu Hu; Zhibin Dong; Ke Liang 006; Hao Yu; Siwei Wang 001; Xinwang Liu 002 (IEEE Trans. Fuzzy Syst., 2024)

Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery. - Huimin Ma; Siwei Wang 001; Junpu Zhang; Shengju Yu; Suyuan Liu; Xinwang Liu 002; Kunlun He (IEEE Trans. Circuits Syst. Video Technol., 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)

Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning. - Shengju Yu; Pei Zhang 008; Siwei Wang 001; Zhibin Dong; Hengfu Yang; En Zhu; Xinwang Liu 002 (IEEE Trans. Cybern., 2024)

Unpaired Multi-View Graph Clustering With Cross-View Structure Matching. - Yi Wen 001; Siwei Wang 001; Qing Liao 001; Weixuan Liang; Ke Liang 006; Xinhang Wan; Xinwang Liu 002 (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)

Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data. - Zhibin Dong; Jiaqi Jin; Yuyang Xiao; Siwei Wang 001; Xinzhong Zhu; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2024)

ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness. - Jingcan Duan; Bin Xiao 002; Siwei Wang 001; Haifang Zhou; Xinwang Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Max-Mahalanobis Anchors Guidance for Multi-View Clustering. - Pei Zhang 008; Yuangang Pan; Siwei Wang 001; Shengju Yu; Huiying Xu; En Zhu; Xinwang Liu 002; Ivor W. Tsang (AAAI, 2025)

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)

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning. - Yuzhuo Dai; Jiaqi Jin; Zhibin Dong; Siwei Wang 001; Xinwang Liu 002; En Zhu; Xihong Yang; Xinbiao Gan; Yu Feng (CVPR, 2025)

Enhanced then Progressive Fusion with View Graph for Multi-View Clustering. - Zhibin Dong; Meng Liu 014; Siwei Wang 001; Ke Liang 006; Yi Zhang 104; Suyuan Liu; Jiaqi Jin; Xinwang Liu 002; En Zhu (CVPR, 2025)

EASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering. - Baili Xiao; Zhibin Dong; Ke Liang 006; Suyuan Liu; Siwei Wang 001; Tianrui Liu 001; Xingchen Hu; En Zhu; Xinwang Liu 002 (CVPR, 2025)

Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract). - Suyuan Liu; Qing Liao 001; Siwei Wang 001; Xinwang Liu 002; En Zhu (ICDE, 2025)

Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction. - Shengju Yu; Zhibin Dong; Siwei Wang 001; Pei Zhang 008; Yi Zhang 104; Xinwang Liu 002; Naiyang Guan; Tiejun Li; Yiu-ming Cheung (ICLR, 2025)

DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization. - Yi Zhang 104; Siwei Wang 001; Jiyuan Liu 003; Shengju Yu; Zhibin Dong; Suyuan Liu; Xinwang Liu 002; En Zhu (ICLR, 2025)

Higher-order Enhanced Contrastive-based Graph Anomaly Detection Without Graph Augmentation. - Jingtao Hu; Siwei Wang 001; Jingcan Duan; Hu Jin; Xinwang Liu 002; En Zhu (Pattern Recognit., 2025)

Selective Cross-View Topology for Deep Incomplete Multi-View Clustering. - Zhibin Dong; Dayu Hu; Jiaqi Jin; Siwei Wang 001; Xinwang Liu 002; En Zhu (IEEE Trans. Image Process., 2025)

MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion. - Ke Liang 006; Lingyuan Meng; Hao Li 025; Meng Liu 014; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Kunlun He (IEEE Trans. Multim., 2025)

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection. - Siqi Wang 001; Yuanze Hu; Xinwang Liu 002; Siwei Wang 001; Guangpu Wang; Chuanfu Xu; Jie Liu 002; Ping Chen (CoRR, 2025)

SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. - Jingtao Hu; Bin Xiao 002; Hu Jin; Jingcan Duan; Siwei Wang 001; Zhao Lv; Siqi Wang 001; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph. - Shengju Yu; Suyuan Liu; Siwei Wang 001; Chang Tang; Zhigang Luo; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering. - Zhibin Dong; Jiaqi Jin; Yuyang Xiao; Bin Xiao 002; Siwei Wang 001; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

COLA: A Scalable Multi-Agent Framework For Windows UI Task Automation. - Di Zhao; Longhui Ma; Siwei Wang 001; Miao Wang; Zhao Lv (CoRR, 2025)

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance. - Jiaqi Jin; Siwei Wang 001; Zhibin Dong; Xihong Yang; Xinwang Liu 002; En Zhu; Kunlun He (CoRR, 2025)

One-Step Multi-View Clustering With Diverse Representation. - Xinhang Wan; Jiyuan Liu 003; Xinbiao Gan; Xinwang Liu 002; Siwei Wang 001; Yi Wen 001; Tianjiao Wan; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Soft Reasoning Paths for Knowledge Graph Completion. - Yanning Hou; Sihang Zhou 001; Ke Liang 006; Lingyuan Meng; Xiaoshu Chen; Ke Xu; Siwei Wang 001; Xinwang Liu 002; Jian Huang (CoRR, 2025)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. - Yi Wen 001; Yue Liu 008; Derong Xu; Huishi Luo; Pengyue Jia; Yiqing Wu; Siwei Wang 001; Ke Liang 006; Maolin Wang 001; Yiqi Wang 001; Fuzhen Zhuang; Xiangyu Zhao 001 (CoRR, 2025)

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios. - Xihong Yang; Siwei Wang 001; Fangdi Wang; Jiaqi Jin; Suyuan Liu; Yue Liu 008; En Zhu; Xinwang Liu 002; Yueming Jin (CoRR, 2025)

Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment. - Siwei Wang 001; Xinwang Liu 002; Qing Liao 001; Yi Wen 001; En Zhu; Kunlun He (IEEE Trans. Knowl. Data Eng., 2025)

TFMKC: Tuning-Free Multiple Kernel Clustering Coupled With Diverse Partition Fusion. - Junpu Zhang; Liang Li; Pei Zhang 008; Yue Liu 008; Siwei Wang 001; Changbao Zhou; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Noise-Robust Federated Learning via Interclient Co-Distillation. - Liang Gao; Li Li 064; Yingwen Chen 001; Shaojing Fu; Dongsheng Wang 004; Siwei Wang 001; Cheng-Zhong Xu 001; Ming Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)