汪思韦｜湖南大学｜学者主页

2025

Consistent model selection for factor-augmented regressions

Yundong Tu, Siwei Wang

Economics Letters，Vol. 253

DOI

2025

Quantile prediction with factor-augmented regression: Structural and model

Yundong Tu, Siwei Wang

Journal Of Econometrics，Vol. 2490

DOI

2024

Selection inconsistency for factor-augmented regressions

Yundong Tu, Siwei Wang

Economics Letters，Vol. 241

DOI

2024

How to Construct Corresponding Anchors for Incomplete Multiview Clustering

Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Z. Luo, En Zhu, Xinwang Liu

IEEE transactions on circuits and systems for video technology (Print)

DOI

2023

Variable Screening and Model Averaging for Expectile Regressions

Yundong Tu, Siwei Wang

Oxford Bulletin Of Economics And Statistics，Vol. 850, No. 30

DOI

2023

Multi-View Fuzzy Classification With Subspace Clustering and Information Granules

Xing-Chen Hu, Xin-Wang Liu, W. Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

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

Yi Wen, Siwei Wang, Qing Liao, Wei-Xuan Liang, K. Liang, Xin-Hang Wan, Xin-Wang Liu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

CONVERT: Contrastive Graph Clustering with Reliable Augmentation

Xi-Hong Yang, Cheng Tan, Yue Liu, K. Liang, Siwei Wang, Si-Hang Zhou, Jun Xia, S. Li, Xin-Wang Liu, En Zhu

ACM Multimedia

DOI

2023

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

Pei Zhang, Siwei Wang, Liangjun Li, Changwang Zhang, Xin-Wang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo

AAAI Conference on Artificial Intelligence

DOI

2023

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

Xin-Hang Wan, Xin-Wang Liu, Ji-Yuan Liu, Siwei Wang, Yi Wen, Wei-Xuan Liang, En Zhu, Zhe Liu, Lu Zhou

AAAI Conference on Artificial Intelligence

DOI

2023

Deep Temporal Graph Clustering

Meng Liu, Yue Liu, K. Liang, Wen-Xuan Tu, Siwei Wang, Si-Hang Zhou, Xin-Wang Liu

International Conference on Learning Representations

DOI

2023

One-Step Multi-View Clustering With Diverse Representation

Xin-Hang Wan, Ji-Yuan Liu, Xin-Biao Gan, Xin-Wang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, En Zhu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Scalable Incomplete Multi-View Clustering with Structure Alignment

Yi Wen, Siwei Wang, K. Liang, Wei-Xuan Liang, Xin-Hang Wan, Xin-Wang Liu, Su-Yuan Liu, Ji-Yuan Liu, En Zhu

ACM Multimedia

DOI

2023

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning

Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jia-Xin Zhang, Haifang Zhou, Xin-Wang Liu

ACM Multimedia

DOI

2023

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

Jiaqi Jin, Siwei Wang, Zhi-Bin Dong, Xin-Wang Liu, En Zhu

Computer Vision and Pattern Recognition

DOI

2023

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

K. Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wen-Xuan Tu, Siwei Wang, Si-Hang Zhou, Xin-Wang Liu

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2023

Cluster-guided Contrastive Graph Clustering Network

Xi-Hong Yang, Yue Liu, Si-Hang Zhou, Siwei Wang, Wen-Xuan Tu, Qun Zheng, Xin-Wang Liu, Liming Fang, En Zhu

AAAI Conference on Artificial Intelligence

DOI

2023

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering

Meng Liu, K. Liang, Yue Liu, Siwei Wang, Si-Hang Zhou, Xin-Wang Liu

arXiv.org

DOI

2023

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation

Yi Wen, Su-Yuan Liu, Xin-Hang Wan, Siwei Wang, K. Liang, Xin-Wang Liu, Xi-Hong Yang, Pei Zhang

ACM Multimedia

DOI

2023

Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter

Liang Li, Junpu Zhang, Siwei Wang, Xin-Wang Liu, Ken-Li Li, Ke-Qin Li

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering

Xi-Hong Yang, Jiaqi Jin, Siwei Wang, K. Liang, Yue Liu, Yi Wen, Su-Yuan Liu, Si-Hang Zhou, Xin-Wang Liu, En Zhu

ACM Multimedia

DOI

2023

Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data

Zhi-Bin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xin-Zhong Zhu, Xinwang Liu, En Zhu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Message Intercommunication for Inductive Relation Reasoning

K. Liang, Lingyuan Meng, Si-Hang Zhou, Siwei Wang, Wen-Xuan Tu, Yue Liu, Meng Liu, Xin-Wang Liu

arXiv.org

DOI

2022

Projective Multiple Kernel Subspace Clustering

Meng-Jing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Si-Hang Zhou, En Zhu

IEEE transactions on multimedia

DOI

2022

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation

Xi-Hong Yang, Er-Xue Min, Ke Liang, Yue Liu, Siwei Wang, Si-Hang Zhou, Hui-Jun Wu, Xin-Wang Liu, En Zhu

ACM Multimedia

DOI

2022

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

Wei-Xuan Liang, Xin-Wang Liu, Yong Liu, Si-Hang Zhou, Jun-Jie Huang, Siwei Wang, Ji-Yuan Liu, Yi Zhang, En Zhu

Neural Information Processing Systems

DOI

2022

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

Yue Liu, Jun Xia, Si-Hang Zhou, Siwei Wang, Xifeng Guo, Xi-Hong Yang, K. Liang, Wen-Xuan Tu, S. Li, Xin-Wang Liu

arXiv.org

DOI

2022

Robust Graph-Based Multi-View Clustering

Wei-Xuan Liang, Xin-Wang Liu, Si-Hang Zhou, Ji-Yuan Liu, Siwei Wang, En Zhu

AAAI Conference on Artificial Intelligence

DOI

2022

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

Siwei Wang, Xin-Wang Liu, Su-Yuan Liu, Jiaqi Jin, Wen-Xuan Tu, Xinzhong Zhu, En Zhu

Neural Information Processing Systems

DOI

2022

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

K. Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wen-Xuan Tu, Siwei Wang, Si-Hang Zhou, Xin-Wang Liu, Fu Sun, Kun-Lun He

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2022

Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph

Miao-Miao Li, Siwei Wang, Xin-Wang Liu, Su-Yuan Liu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Simple Contrastive Graph Clustering

Yue Liu, Xi-Hong Yang, Si-Hang Zhou, Xin-Wang Liu, Siwei Wang, K. Liang, Wen-Xuan Tu, Liangjun Li

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Deep graph clustering with multi-level subspace fusion

Wang Li, Siwei Wang, Xifeng Guo, En Zhu

Pattern Recognition

DOI

2022

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph

Siwei Wang, Xin-Wang Liu, Li Liu, Wen-Xuan Tu, Xinzhong Zhu, Ji-Yuan Liu, Si-Hang Zhou, En Zhu

Computer Vision and Pattern Recognition

DOI

2022

ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness

Jingcan Duan, Bin Xiao, Siwei Wang, Haifang Zhou, Xinwang Liu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

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

Yi Zhang, Wei-Xuan Liang, Xin-Wang Liu, Sisi Dai, Siwei Wang, Liyang Xu, En Zhu

ACM Multimedia

DOI

2022

Auxiliary Graph for Attribute Graph Clustering

Wang Li, Siwei Wang, Xifeng Guo, Zhen-Yu Zhou, En Zhu

Entropy

DOI

2022

Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph

Liangchi Li, Siwei Wang, Xin-Wang Liu, En Zhu, Li Shen, Ken-Li Li, Ke-Qin Li

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Fast Incomplete Multi-View Clustering With View-Independent Anchors

Su-Yuan Liu, Xin-Wang Liu, Siwei Wang, Xin Niu, En Zhu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Huan Jin, Yue Liu, Zhi-Bin Dong

AAAI Conference on Artificial Intelligence

DOI

2022

Multiple Kernel Clustering with Dual Noise Minimization

Junpu Zhang, Liang Li, Siwei Wang, Ji-Yuan Liu, Yue Liu, Xin-Wang Liu, En Zhu

ACM Multimedia

DOI

2022

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

Su-Yuan Liu, Siwei Wang, Pei Zhang, Kaiping Xu, Xin-Wang Liu, Changwang Zhang, Feng Gao

AAAI Conference on Artificial Intelligence

DOI

2021

Hierarchical Multiple Kernel Clustering

Ji-Yuan Liu, Xinwang Liu, Siwei Wang, Si-Hang Zhou, Yuexiang Yang

AAAI Conference on Artificial Intelligence

DOI

2021

Improved autoencoder for unsupervised anomaly detection

Zhen Cheng, Siwei Wang, Pei Zhang, Si-Qi Wang, Xin-Wang Liu, En Zhu

International Journal of Intelligent Systems

DOI

2021

Gaussian Mixture Model Clustering with Incomplete Data

Yi Zhang, Miao-Miao Li, Siwei Wang, Sisi Dai, Lei Luo, En Zhu, Hui-Ying Xu, Xinzhong Zhu, Chaoyun Yao, Hao Zhou

ACM Trans. Multim. Comput. Commun. Appl.

DOI

2021

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

Siwei Wang, Xin-Wang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu

IEEE Transactions on Image Processing

DOI

2021

Multiple Kernel Clustering With Compressed Subspace Alignment

Si-Hang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jian-Ping Yin, Xin Xu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Jackknife model averaging for expectile regressions in increasing dimension

Yundong Tu, Siwei Wang

Economics Letters，Vol. 197

DOI

2020

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix

Wei-Xuan Liang, Si-Hang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu

IEEE Transactions on Knowledge and Data Engineering

DOI

2020

Anchor-Based Multiview Subspace Clustering With Diversity Regularization

Qiyuan Ou, Siwei Wang, Si-Hang Zhou, Miao-Miao Li, Xifeng Guo, En Zhu

IEEE Multimedia

DOI

2020

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering

Pei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, Xifeng Guo, En Zhu, Zhiping Cai

Italian National Conference on Sensors

DOI

2019

函数型核加权估计法及其在经济学中的应用

涂云东，汪思韦

《系统工程理论与实践》，No. 4

下载原文

2019

Multi-view Clustering via Late Fusion Alignment Maximization

Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jian-Ping Yin

International Joint Conference on Artificial Intelligence

DOI

2019

K-Means Clustering With Incomplete Data

Siwei Wang, Miao-Miao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jian-Ping Yin

IEEE Access

DOI

2019

Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization

Jingtao Hu, Miao-Miao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai

IEEE Access

DOI

2019

Efficient Multiple Kernel k-Means Clustering With Late Fusion

Siwei Wang, En Zhu, Jingtao Hu, Miao-Miao Li, Kaikai Zhao, Ning Hu, Xinwang Liu

IEEE Access

DOI

2019

Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression

Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jian-Ping Yin

IEEE International Joint Conference on Neural Network

DOI

精选作品

期刊论文

Consistent model selection for factor-augmented regressions

Quantile prediction with factor-augmented regression: Structural and model

Selection inconsistency for factor-augmented regressions

How to Construct Corresponding Anchors for Incomplete Multiview Clustering

Variable Screening and Model Averaging for Expectile Regressions

Multi-View Fuzzy Classification With Subspace Clustering and Information Granules

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

CONVERT: Contrastive Graph Clustering with Reliable Augmentation

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

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

Deep Temporal Graph Clustering

One-Step Multi-View Clustering With Diverse Representation

Scalable Incomplete Multi-View Clustering with Structure Alignment

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning

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

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

Cluster-guided Contrastive Graph Clustering Network

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation

Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter

DealMVC: Dual Contrastive Calibration for Multi-view Clustering

Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data

Message Intercommunication for Inductive Relation Reasoning

Projective Multiple Kernel Subspace Clustering

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation

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

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

Robust Graph-Based Multi-View Clustering

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

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

Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph

Simple Contrastive Graph Clustering

Deep graph clustering with multi-level subspace fusion

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph

ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness

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

Auxiliary Graph for Attribute Graph Clustering

Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph

Fast Incomplete Multi-View Clustering With View-Independent Anchors

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

Multiple Kernel Clustering with Dual Noise Minimization

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

Hierarchical Multiple Kernel Clustering

Improved autoencoder for unsupervised anomaly detection

Gaussian Mixture Model Clustering with Incomplete Data

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

Multiple Kernel Clustering With Compressed Subspace Alignment

Jackknife model averaging for expectile regressions in increasing dimension

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix

Anchor-Based Multiview Subspace Clustering With Diversity Regularization

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering

函数型核加权估计法及其在经济学中的应用

Multi-view Clustering via Late Fusion Alignment Maximization

K-Means Clustering With Incomplete Data

Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization

Efficient Multiple Kernel k-Means Clustering With Late Fusion

Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression

研究方向