World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
23537
World Ranking
1036
National Ranking
150

Overview

Xinwang Liu is affiliated with the National University of Defense Technology in China. Their research primarily covers the field of Computer Science, with a specific focus on Artificial Intelligence, Computer Vision and Pattern Recognition, and Media Technology, among other areas.

The scientist's main research topics include:

  • Face and Expression Recognition
  • Advanced Clustering Algorithms Research
  • Advanced Graph Neural Networks
  • Remote-Sensing Image Classification
  • Video Surveillance and Tracking Methods
  • Complex Network Analysis Techniques
  • Advanced Computing and Algorithms

Xinwang Liu has contributed extensively to scientific literature, with key recent publications including:

  • Efficient and Effective Regularized Incomplete Multi-view Clustering, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance, 2021, IEEE Transactions on Image Processing
  • Consensus Graph Learning for Multi-View Clustering, 2021, IEEE Transactions on Multimedia
  • Unified One-Step Multi-View Spectral Clustering, 2022, IEEE Transactions on Knowledge and Data Engineering
  • Deep Graph Clustering via Dual Correlation Reduction, 2022, Proceedings of the AAAI Conference on Artificial Intelligence

The scientist frequently collaborates with colleagues such as En Zhu, Siwei Wang, Sihang Zhou, Ke Liang, and Chang Tang.

Xinwang Liu's research outputs are published regularly in several prominent venues, with a notable number of contributions in:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

The research spans subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Statistical and Nonlinear Physics, and Urban Studies, reflecting a multidisciplinary approach.

Best Publications

  • Deep Learning for Generic Object Detection: A Survey

    Li Liu;Li Liu;Wanli Ouyang;Xiaogang Wang;Paul W. Fieguth

  • Improved Deep Embedded Clustering with Local Structure Preservation

    Xifeng Guo;Long Gao;Xinwang Liu;Jianping Yin

  • An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment

    Jindong Qin;Xinwang Liu;Witold Pedrycz;Witold Pedrycz;Witold Pedrycz

  • In defense of soft-assignment coding

    Lingqiao Liu;Lei Wang;Xinwang Liu

  • Deep Clustering with Convolutional Autoencoders

    Xifeng Guo;Xinwang Liu;En Zhu;Jianping Yin

  • Intuitionistic Fuzzy Information Aggregation Using Einstein Operations

    Unknown

  • Late Fusion Incomplete Multi-View Clustering

    Xinwang Liu;Xinzhong Zhu;Miaomiao Li;Lei Wang

  • Global and Local Structure Preservation for Feature Selection

    Xinwang Liu;Lei Wang;Jian Zhang;Jianping Yin

  • Multiple Kernel $k$ k -Means with Incomplete Kernels

    Xinwang Liu;Xinzhong Zhu;Miaomiao Li;Lei Wang

  • Consensus Graph Learning for Multi-view Clustering

    Zhenglai Li;Chang Tang;Xinwang Liu;Xiao Zheng

  • Learning a Joint Affinity Graph for Multiview Subspace Clustering

    Chang Tang;Xinzhong Zhu;Xinwang Liu;Miaomiao Li

  • Efficient and Effective Regularized Incomplete Multi-View Clustering

    Xinwang Liu;Miaomiao Li;Chang Tang;Jingyuan Xia

  • Some interval-valued intuitionistic fuzzy geometric aggregation operators based on einstein operations

    Unknown

  • Scalable Multi-view Subspace Clustering with Unified Anchors

    Mengjing Sun;Pei Zhang;Siwei Wang;Sihang Zhou

  • Multiple kernel extreme learning machine

    Xinwang Liu;Lei Wang;Guang-Bin Huang;Jian Zhang

  • Intuitionistic fuzzy geometric aggregation operators based on einstein operations

    Unknown

  • Simplified Interval Type-2 Fuzzy Logic Systems

    Jerry M. Mendel;Xinwang Liu

  • An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment

    Jindong Qin;Xinwang Liu;Witold Pedrycz

  • Multi-view Clustering via Late Fusion Alignment Maximization

    Siwei Wang;Xinwang Liu;En Zhu;Chang Tang

  • Deep Fusion Clustering Network

    Wenxuan Tu;Sihang Zhou;Xinwang Liu;Xifeng Guo

  • Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection

    Chang Tang;Xiao Zheng;Xinwang Liu;Wei Zhang

  • A risk evaluation and prioritization method for FMEA with prospect theory and Choquet integral

    Weizhong Wang;Xinwang Liu;Yong Qin;Yong Fu

  • CGD: Multi-View Clustering via Cross-View Graph Diffusion

    Chang Tang;Xinwang Liu;Xinzhong Zhu;En Zhu

  • Multiple kernel k -means clustering with matrix-induced regularization

    Xinwang Liu;Yong Dou;Jianping Yin;Lei Wang

  • Multiple Kernel k-Means with Incomplete Kernels.

    Xinwang Liu;Miaomiao Li;Lei Wang;Yong Dou

Frequent Co-Authors

Chang Tang
Chang Tang China University of Geosciences
Jiyuan Liu
Jiyuan Liu Chinese Academy of Sciences
Lizhe Wang
Lizhe Wang China University of Geosciences
Jian Zhang
Jian Zhang University of Technology Sydney
Changqing Zhang
Changqing Zhang Tianjin University
Wanqing Li
Wanqing Li University of Wollongong
Marius Kloft
Marius Kloft Technical University of Kaiserslautern
Junwei Han
Junwei Han Northwestern Polytechnical University
Xingxing Zhang
Xingxing Zhang Dalarna University
Tongliang Liu
Tongliang Liu University of Sydney

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