World's Best Scientists 2026 revealed!
Lefei Zhang

Lefei Zhang

D-Index & Metrics

Computer Science

D-Index
51
Citations
12850
World Ranking
5264
National Ranking
710

Overview

Lefei Zhang is affiliated with Wuhan University in China and has a significant body of research focused on computer science and engineering, particularly in the fields of computer vision, pattern recognition, and remote sensing. Their work spans numerous topics related to artificial intelligence and advanced image analysis, with a particular emphasis on remote sensing data and domain adaptation.

The main fields of study for Lefei Zhang include:

  • Computer Science
  • Engineering

Within these broad areas, their subfields of expertise cover:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Atmospheric Science
  • Ocean Engineering

The scientist's primary research topics encompass:

  • Remote-Sensing Image Classification
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Advanced Image Fusion Techniques
  • Advanced Image and Video Retrieval Techniques
  • Advanced Image Processing Techniques

Frequent collaborators include:

  • Zuchao Li (29 joint publications)
  • Bo Du (26 joint publications)
  • Dacheng Tao (22 joint publications)
  • Liangpei Zhang (15 joint publications)
  • Meng Lan (9 joint publications)

Lefei Zhang has published extensively in several scientific venues. The most frequent publication platforms are:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Image Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition

Notable recent papers authored or coauthored by Lefei Zhang include:

  • Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities (2022), IEEE Geoscience and Remote Sensing Magazine
  • Stagewise Unsupervised Domain Adaptation With Adversarial Self-Training for Road Segmentation of Remote-Sensing Images (2021), IEEE Transactions on Geoscience and Remote Sensing

Additional related recent papers, although not solely authored by Zhang, appear relevant to the research focus:

  • Unsupervised domain adaptive re-identification: Theory and practice (2020), Pattern Recognition
  • Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification (2020), IEEE Transactions on Geoscience and Remote Sensing
  • MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification (2024), IEEE Transactions on Geoscience and Remote Sensing

Best Publications

  • Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

    Liangpei Zhang;Lefei Zhang;Bo Du

  • Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

    Unknown

  • Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

    Sheng Wan;Chen Gong;Ping Zhong;Bo Du

  • On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

  • Stacked Convolutional Denoising Auto-Encoders for Feature Representation

    Bo Du;Wei Xiong;Jia Wu;Lefei Zhang

  • Recurrent Feature Reasoning for Image Inpainting

    Jingyuan Li;Ning Wang;Lefei Zhang;Bo Du

  • Unsupervised Domain Adaptive Re-Identification: Theory and Practice

    Liangchen Song;Cheng Wang;Lefei Zhang;Bo Du

  • Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral–Spatial Feature Extraction

    Liangpei Zhang;Lefei Zhang;Dacheng Tao;Xin Huang

  • Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding

    Lefei Zhang;Qian Zhang;Liangpei Zhang;Dacheng Tao

  • Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image

    Fulin Luo;Bo Du;Liangpei Zhang;Lefei Zhang

  • Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images.

    Lefei Zhang;Qian Zhang;Bo Du;Xin Huang

  • Hyperspectral image unsupervised classification by robust manifold matrix factorization

    Lefei Zhang;Liangpei Zhang;Bo Du;Jane You

  • Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric Learning

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

  • Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification

    Fulin Luo;Liangpei Zhang;Bo Du;Lefei Zhang

  • Exploring Representativeness and Informativeness for Active Learning

    Bo Du;Zengmao Wang;Lefei Zhang;Liangpei Zhang

  • Sparse Transfer Manifold Embedding for Hyperspectral Target Detection

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

  • Nonlocal Low-Rank Tensor Completion for Visual Data

    Lefei Zhang;Liangchen Song;Bo Du;Yipeng Zhang

  • PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images

    Bo Du;Mengfei Zhang;Lefei Zhang;Ruimin Hu

  • Progressive Reconstruction of Visual Structure for Image Inpainting

    Jingyuan Li;Fengxiang He;Lefei Zhang;Bo Du

  • Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery

    Xian Guo;Xin Huang;Lefei Zhang;Liangpei Zhang

  • Compression of hyperspectral remote sensing images by tensor approach

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

Frequent Co-Authors

Bo Du
Bo Du Wuhan University
Liangpei Zhang
Liangpei Zhang Wuhan University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Jane You
Jane You Hong Kong Polytechnic University
Jia Wu
Jia Wu Macquarie University
Xuelong Li
Xuelong Li China Telecom (China)
Chang Xu
Chang Xu University of Sydney
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Jialie Shen
Jialie Shen City, University of London
Jing-Hao Xue
Jing-Hao Xue University College London

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