Xinwang Liu

发表

Interpolation-based Correlation Reduction Network for Semi-Supervised Graph Learning

Yue Liu, Xihong Yang, Sihang Zhou, 2022 .

Managing minority opinions in large-scale group decision making based on community detection and group polarization

Cristina Zuheros, Tong Wu, Xinwang Liu, 2022, Comput. Ind. Eng..

Simple Contrastive Graph Clustering

Siwei Wang, Xihong Yang, Sihang Zhou, 2022, IEEE transactions on neural networks and learning systems.

Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors

Suyuan Liu, Siwei Wang, Xinwang Liu, 2022, AAAI.

Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning

En Zhu, Xihong Yang, Sihang Zhou, 2022, IEEE transactions on neural networks and learning systems.

Fusion Multiple Kernel K-means

K. Xu, Xinwang Liu, En Zhu, 2022, AAAI.

Hyperspectral band selection via region-aware latent features fusion based clustering

En Zhu, Chang Tang, Zhenglai Li, 2021, Inf. Fusion.

Graph regularized spatial-spectral subspace clustering for hyperspectral band selection

Xiao Zheng, Chang Tang, Jun Wang, 2022, Neural Networks.

Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement

Zhiping Cai, Chuanfu Xu, Xinwang Liu, 2021, 2108.01975.

Mixed Graph Contrastive Network for Semi-Supervised Node Classification

Yue Liu, Xihong Yang, Sihang Zhou, 2022, ACM Transactions on Knowledge Discovery from Data.

Late Fusion Multi-view Clustering via Global and Local Alignment Maximization

Siwei Wang, Xinwang Liu, En Zhu, 2022, ArXiv.

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph

Xinzhong Zhu, Siwei Wang, Sihang Zhou, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph

Kuan-Ching Li, Kenli Li, Siwei Wang, 2022, IEEE transactions on neural networks and learning systems.

Robust Graph-Based Multi-View Clustering

Siwei Wang, Sihang Zhou, Xinwang Liu, 2022, AAAI.

Effective Video Abnormal Event Detection by Learning A Consistency-Aware High-Level Feature Extractor

Zhiping Cai, Xinwang Liu, Guang Yu, 2022, ACM Multimedia.

Sample Weighted Multiple Kernel K-means via Min-Max optimization

Liyang Xu, Siwei Wang, Xinwang Liu, 2022, ACM Multimedia.

Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering

Peng Zhou, Xinwang Liu, Liang Du, 2022, ACM Transactions on Knowledge Discovery from Data.

Incremental multiple kernel extreme learning machine and its application in Robo-advisors

Jianping Yin, Miaomiao Li, Qiang Liu, 2018, Soft Computing.

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

Yue Liu, Siwei Wang, Sihang Zhou, 2022, 2212.05767.

Contrastive Deep Graph Clustering with Learnable Augmentation

Yue Liu, Siwei Wang, Xihong Yang, 2022, ArXiv.

Relational Symmetry based Knowledge Graph Contrastive Learning

Yue Liu, Ke Liang, Sihang Zhou, 2022, ArXiv.

Deep Learning for Generic Object Detection: A Survey

M. Pietikäinen, Xiaogang Wang, Wanli Ouyang, 2019, International Journal of Computer Vision.

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

Stan Z. Li, Xifeng Guo, Siwei Wang, 2022, ArXiv.

Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement

Zhiping Cai, Chuanfu Xu, Xinwang Liu, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cluster-guided Contrastive Graph Clustering Network

Yue Liu, Siwei Wang, Xihong Yang, 2023, AAAI.

Hard Sample Aware Network for Contrastive Deep Graph Clustering

Yue Liu, Zhen Wang, Xihong Yang, 2022, ArXiv.

A social commerce purchasing decision model with trust network and item review information

Tong Wu, Fang Liu, Yi Ding, 2021, Knowl. Based Syst..

Can imported cold food cause COVID-19 recurrent outbreaks? A review

Shilian Han, Xinwang Liu, 2021, Environmental Chemistry Letters.

A Multi-Stage Green Barrier Strategy for the Control of Global SARS-CoV-2 Transmission via Cold Chain Goods

Jun Ma, Panpan Wang, Boda Li, 2021, Engineering.

An interval 2-Tuple linguistic Fine-Kinney model for risk analysis based on extended ORESTE method with cumulative prospect theory

Weizhong Wang, Xinwang Liu, Ling Ding, 2022, Inf. Fusion.

An interval type-2 fuzzy Kano-prospect-TOPSIS based QFD model: Application to Chinese e-commerce service design

Francisco Herrera, Tong Wu, Xinwang Liu, 2021, Appl. Soft Comput..

Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention

Lizhe Wang, A. Zomaya, Xinwang Liu, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Hard Sample Aware Network for Contrastive Deep Graph Clustering

Yue Liu, Zhen Wang, Xihong Yang, 2022, AAAI.

RARE: Robust Masked Graph Autoencoder

Zhe Liu, Sihang Zhou, Xinwang Liu, 2023, IEEE Transactions on Knowledge and Data Engineering.

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

Yue Liu, Siwei Wang, Sihang Zhou, 2022, ArXiv.

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

Yue Liu, Siwei Wang, Sihang Zhou, 2022, 2212.05767.

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences

Xinzhong Zhu, Suyuan Liu, Siwei Wang, 2022, NeurIPS.

Scalable Multi-view Subspace Clustering with Unified Anchors

En Zhu, Sihang Zhou, Wenxuan Tu, 2021, ACM Multimedia.

Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment

Siwei Wang, Xinwang Liu, En Zhu, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multiple Kernel Clustering with Dual Noise Minimization

Siwei Wang, Xinwang Liu, En Zhu, 2022, ACM Multimedia.

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance

Xinzhong Zhu, Siwei Wang, Xinwang Liu, 2021, IEEE Transactions on Image Processing.

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

Zhiping Cai, Sihang Zhou, Xinwang Liu, 2023, IEEE transactions on neural networks and learning systems.

DisARM: Displacement Aware Relation Module for 3D Detection

Xinwang Liu, Kaiping Xu, Renjiao Yi, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A new type-2 fuzzy multi-criteria hybrid method for rail transit operation safety assessment

Wei Wang, Xinwang Liu, Shilian Han, 2021, Appl. Soft Comput..

Message Intercommunication for Inductive Relation Reasoning

Yue Liu, Yue Liu, Meng Liu, 2023, ArXiv.

Initializing Then Refining: A Simple Graph Attribute Imputation Network

Yue Liu, En Zhu, Zhiping Cai, 2022, IJCAI.

Attributed Graph Clustering with Dual Redundancy Reduction

Sihang Zhou, Xinwang Liu, Lei Gong, 2022, IJCAI.

Deep Graph Clustering via Dual Correlation Reduction pdf

En Zhu, Sihang Zhou, Wenxuan Tu, 2021, AAAI.

Efficient Anchor Learning-based Multi-view Clustering -- A Late Fusion Method

Sihang Zhou, Xinwang Liu, En Zhu, 2022, ACM Multimedia.

Self-Representation Subspace Clustering for Incomplete Multi-view Data

Sihang Zhou, Wenxuan Tu, Yi Zhang, 2021, ACM Multimedia.

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement

En Zhu, Siwei Wang, Sihang Zhou, 2021, IEEE Transactions on Neural Networks and Learning Systems.

One-pass Multi-view Clustering for Large-scale Data

Xinwang Liu, Jiyuan Liu, Jiangyong Shi, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Multiple kernel clustering with late fusion consensus local graph preserving

En Zhu, Xinwang Liu, Siwei Wang, 2021, Int. J. Intell. Syst..

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering

Chang Tang, Xiao Zheng, Xinwang Liu, 2022, IEEE Transactions on Image Processing.

Fast Continual Multi-View Clustering With Incomplete Views

Xinwang Liu, En Zhu, Jiyuan Liu, 2023, IEEE Transactions on Image Processing.

Unified One-Step Multi-View Spectral Clustering

J. Wang, Chang Tang, Xinwang Liu, 2023, IEEE Transactions on Knowledge and Data Engineering.

One-step Multi-view Clustering with Diverse Representation

Jue Wang, Xinwang Liu, En Zhu, 2023, 2306.05437.

Multi-view subspace clustering via adaptive graph learning and late fusion alignment

Xiao Zheng, Chang Tang, Xinwang Liu, 2023, Neural Networks.

Unsupervised feature selection via multiple graph fusion and feature weight learning

Xiao Zheng, Xinzhong Zhu, Chang Tang, 2023, Science China Information Sciences.

Auto-weighted Multi-view Clustering for Large-scale Data

Zhe Liu, Siwei Wang, Xinwang Liu, 2023, AAAI.

Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection

J. Wang, Lizhe Wang, Xinzhong Zhu, 2022, IEEE Transactions on Cybernetics.

One-Stage Incomplete Multi-view Clustering via Late Fusion

En Zhu, Yi Zhang, Jiyuan Liu, 2021, ACM Multimedia.

Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering

Peng Zhou, Xinwang Liu, Liang Du, 2022, ACM Trans. Knowl. Discov. Data.

Fast Incomplete Multi-View Clustering With View-Independent Anchors.

Xin Niu, Suyuan Liu, Siwei Wang, 2022, IEEE transactions on neural networks and learning systems.

Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph.

Miaomiao Li, Suyuan Liu, Siwei Wang, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Incomplete Multiple Kernel Alignment Maximization for Clustering.

Xinwang Liu, 2021, IEEE transactions on pattern analysis and machine intelligence.

Multi-view clustering via matrix factorization assisted k-means

Xiao Zheng, Chang Tang, Xinwang Liu, 2023, Neurocomputing.

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

Sihang Zhou, Xinwang Liu, Dayu Hu, 2023, Briefings Bioinform..

Localized Simple Multiple Kernel K-means

Siwei Wang, Chang Tang, Sihang Zhou, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Medical Federated Model with Mixture of Personalized and Sharing Components

K. He, Yawei Zhao, Xinwang Liu, 2023, ArXiv.

Decoupled Diffusion Models with Explicit Transition Probability

Yuhang Huang, Kaiping Xu, Xinwang Liu, 2023, arXiv.org.

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation

Xinwang Liu, Wei Zhang, Chang Tang, 2023, 2306.08370.

Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning

En Zhu, Xinwang Liu, Tuanfei Zhu, 2023, IEEE Transactions on Knowledge and Data Engineering.

WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement

Xiangke Wang, Wenbai Chen, Qi Zhang, 2023, Pattern Recognition.

Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees

Yixing Lan, Qiang Fang, Xin Xu, 2022, Knowl. Based Syst..

Siamese Attribute-missing Graph Auto-encoder pdf

Sihang Zhou, Wenxuan Tu, Xinwang Liu, 2021, ArXiv.

Deep Temporal Graph Clustering

Yue Liu, Siwei Wang, Sihang Zhou, 2023, ICLR.

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

Yue Liu, Siwei Wang, Sihang Zhou, 2022, IEEE transactions on pattern analysis and machine intelligence.

E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection

Marius Kloft, Jianping Yin, En Zhu, 2022, IEEE Trans. Pattern Anal. Mach. Intell..

Contrastive Multi-View Kernel Learning

Xinwang Liu, Yuanqing Xia, Jiyuan Liu, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive partial graph learning and fusion for incomplete multi‐view clustering

En Zhu, Xiao Zheng, Xinwang Liu, 2021, Int. J. Intell. Syst..

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning

Yue Liu, Sihang Zhou, Xinwang Liu, 2023, ArXiv.

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

Yue Liu, Xiang Dong, Xihong Yang, 2022, IEEE Transactions on Knowledge and Data Engineering.

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering

Yue Liu, Siwei Wang, Sihang Zhou, 2023, ArXiv.

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

Xihong Yang, Sihang Zhou, Xinwang Liu, 2023, ArXiv.

G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering

Ming Ding, Hao Yu, Zhe Liu, 2023, arXiv.org.

CONVERT: Contrastive Graph Clustering with Reliable Augmentation

Stan Z. Li, Yue Liu, Siwei Wang, 2023, ArXiv.

Dink-Net: Neural Clustering on Large Graphs

Stan Z. Li, Yue Liu, Jun Xia, 2023, ICML.

Improved Dual Correlation Reduction Network

Yue Liu, Xihong Yang, Sihang Zhou, 2022, ArXiv.

Object Detection in Hyperspectral Image via Unified Spectral–Spatial Feature Aggregation

Xinwang Liu, Wei Zhang, Chang Tang, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering

Zhe Liu, Siwei Wang, Xinwang Liu, 2023, AAAI Conference on Artificial Intelligence.

One-step Multi-view Clustering with Diverse Representation

Siwei Wang, Xinwang Liu, En Zhu, 2023, ArXiv.

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel

Yong Liu, Siwei Wang, Sihang Zhou, 2022, Neural Information Processing Systems.

Multiview Deep Anomaly Detection: A Systematic Exploration

Jianping Yin, En Zhu, Sihang Zhou, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning

Yue Liu, Siwei Wang, Sihang Zhou, 2023, SIGIR.

Reinforcement Graph Clustering with Unknown Cluster Number

Stan Z. Li, Yue Liu, Jun Xia, 2023, ArXiv.

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning

Yue Liu, Xihong Yang, Sihang Zhou, 2023, ArXiv.

GANN: Graph Alignment Neural Network for Semi-Supervised Learning

Sihang Zhou, Xinwang Liu, En Zhu, 2023, ArXiv.

DealMVC: Dual Contrastive Calibration for Multi-view Clustering

Yue Liu, Suyuan Liu, Siwei Wang, 2023, 2308.09000.

Continual Multi-view Clustering

Xinwang Liu, En Zhu, Jiyuan Liu, 2022, ACM Multimedia.

Relational Symmetry based Knowledge Graph Contrastive Learning

Yue Liu, Ke Liang, Sihang Zhou, 2022, ArXiv.

Unpaired Multi-View Graph Clustering with Cross-View Structure Matching

Siwei Wang, Xinwang Liu, Weixuan Liang, 2023, IEEE transactions on neural networks and learning systems.

GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning

Huan Jin, Siwei Wang, Xinwang Liu, 2022, ArXiv.

Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter

Kenli Li, Siwei Wang, Xinwang Liu, 2023, IEEE Transactions on Knowledge and Data Engineering.

Improved autoencoder for unsupervised anomaly detection

En Zhu, Pei Zhang, Zhen Cheng, 2021, Int. J. Intell. Syst..

SimpleMKKM: Simple Multiple Kernel K-Means

Xinwang Liu, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Missingness-Pattern-Adaptive Learning With Incomplete Data

W. Liu, I. Tsang, Yilong Yin, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Yue Liu, Xihong Yang, Sihang Zhou, 2022, 2211.12875.

DealMVC: Dual Contrastive Calibration for Multi-view Clustering

Yue Liu, Suyuan Liu, Siwei Wang, 2023, ACM Multimedia.

CONVERT: Contrastive Graph Clustering with Reliable Augmentation

Stan Z. Li, Yue Liu, Siwei Wang, 2023, ArXiv.

Local Nonlinear Dimensionality Reduction via Preserving the Geometric Structure of Data

Zichen Xu, Feng Wang, Kaijun Ren, 2023, Pattern Recognition.

Xihong Yang, Sihang Zhou, Xinwang Liu, 2023, IEEE Transactions on Neural Networks and Learning Systems.

Active Clustering Ensemble With Self-Paced Learning.

Peng Zhou, Xinwang Liu, Liang Du, 2023, IEEE transactions on neural networks and learning systems.

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

Stan Z. Li, Xifeng Guo, Siwei Wang, 2022, ArXiv.

Decoupled Diffusion Models with Explicit Transition Probability

Yuhang Huang, Kaiping Xu, Xinwang Liu, 2023, ArXiv.

Video Anomaly Detection via Visual Cloze Tests

Jianping Yin, En Zhu, Xinwang Liu, 2023, IEEE Transactions on Information Forensics and Security.

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

Yue Liu, Hao Yu, Sihang Zhou, 2023, ACM Multimedia.

GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning

Huan Jin, Siwei Wang, Xinwang Liu, 2022, ArXiv.

Decoupled Diffusion Models: Image to Zero and Zero to Noise

Yuhang Huang, Kaiping Xu, Xinwang Liu, 2023, 2306.13720.

A subspace ensemble framework for classification with high dimensional missing data

Yuxing Peng, Xinwang Liu, Songlei Jian, 2016, Multidimensional Systems and Signal Processing.

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

Xihong Yang, Sihang Zhou, Xinwang Liu, 2023, IEEE transactions on neural networks and learning systems.

ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization

Jun Liu, Siqi Shen, Xinwang Liu, 2022, NeurIPS.

Attribute-Missing Graph Clustering Network

Sihang Zhou, Xinwang Liu, Wenxuan Tu, 2024, AAAI.

A likelihood‐based ORESTE method for failure mode and effect analysis (FMEA) based risk analysis problem under interval type‐2 fuzzy environment

Weizhong Wang, Qiao Zheng, Xinwang Liu, 2021, Qual. Reliab. Eng. Int..

Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization

Xinzhong Zhu, Miaomiao Li, Xinwang Liu, 2021, IEEE Transactions on Cybernetics.

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification

Xiao Zheng, Xinwang Liu, Zhenglai Li, 2023, ACM Multimedia.

Deep Fusion Clustering Network With Reliable Structure Preservation

Sihang Zhou, Xinwang Liu, Lei Gong, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Multiple Kernel Clustering with Local Kernel Alignment Maximization

Lei Wang, Yong Dou, En Zhu, 2016, IJCAI.

Structural Embedding Pre-Training for Deep Temporal Graph Learning

Xinwang Liu, Wenxuan Tu, K. Liang, 2023, 2023 China Automation Congress (CAC).