World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
2921
World Ranking
13309
National Ranking
1631

Overview

Jie Lei is affiliated with Xidian University in China and has contributed extensively to research in computer science and engineering. Their work focuses primarily on the fields of computer vision and pattern recognition, media technology, artificial intelligence, biomedical engineering, and atmospheric science.

The scientist's main research topics cover a range of areas including:

  • Remote-Sensing Image Classification
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Chemical Sensor Technologies
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques

Jie Lei has published numerous papers, with recent notable works including:

  • "SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery" (2023), IEEE Transactions on Geoscience and Remote Sensing
  • "Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection" (2020), IEEE Transactions on Geoscience and Remote Sensing
  • "Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection" (2020), IEEE Transactions on Geoscience and Remote Sensing
  • "Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection" (2021), IEEE Transactions on Neural Networks and Learning Systems
  • "Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly Detection" (2021), IEEE Transactions on Cybernetics

Their frequent coauthors, with whom they have collaborated on multiple projects, include:

  • Weiying Xie
  • Yunsong Li
  • Qian Du
  • Jiaqing Zhang
  • Zunlei Feng

Jie Lei's work has been published predominantly in academic venues such as:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Remote Sensing
  • IEEE Transactions on Neural Networks and Learning Systems

This publication record demonstrates a concentration on geoscience, remote sensing, and neural network applications, reflecting Jie Lei's research interests and expertise in these domains. Their contributions span cutting-edge techniques in hyperspectral anomaly detection and object detection in remote sensing imagery.

Best Publications

  • SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery

    Unknown

  • Structure Tensor and Guided Filtering-Based Algorithm for Hyperspectral Anomaly Detection

    Weiying Xie;Tao Jiang;Yunsong Li;Xiuping Jia

  • DeepChart: Combining deep convolutional networks and deep belief networks in chart classification

    Binbin Tang;Binbin Tang;Xiao Liu;Jie Lei;Mingli Song

  • Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection.

    Weiying Xie;Jie Lei;Baozhu Liu;Yunsong Li

  • Hyperspectral Pansharpening With Deep Priors

    Weiying Xie;Jie Lei;Yuhang Cui;Yunsong Li

  • Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection

    Tao Jiang;Weiying Xie;Yunsong Li;Jie Lei

  • Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection

    Kai Jiang;Weiying Xie;Yunsong Li;Jie Lei

  • Hyperspectral Image Super-Resolution Using Deep Feature Matrix Factorization

    Weiying Xie;Xiuping Jia;Yunsong Li;Jie Lei

  • Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection

    Weiying Xie;Baozhu Liu;Yunsong Li;Jie Lei

  • Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly Detection

    Weiying Xie;Xin Zhang;Yunsong Li;Jie Lei

  • When apache spark meets FPGAs: a case study for next-generation DNA sequencing acceleration

    Yu-Ting Chen;Jason Cong;Zhenman Fang;Jie Lei

  • Characterization of Background-Anomaly Separability With Generative Adversarial Network for Hyperspectral Anomaly Detection

    Jiaping Zhong;Weiying Xie;Yunsong Li;Jie Lei

  • Spectral–Spatial Feature Extraction for Hyperspectral Anomaly Detection

    Jie Lei;Weiying Xie;Jian Yang;Yunsong Li

  • HPGAN: Hyperspectral Pansharpening Using 3-D Generative Adversarial Networks

    Weiying Xie;Yuhang Cui;Yunsong Li;Jie Lei

  • LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection

    Kai Jiang;Weiying Xie;Jie Lei;Tao Jiang

  • Discriminative Reconstruction for Hyperspectral Anomaly Detection With Spectral Learning

    Jie Lei;Shuo Fang;Weiying Xie;Yunsong Li

  • A Novel High-Throughput Acceleration Engine for Read Alignment

    Yu-Ting Chen;Jason Cong;Jie Lei;Peng Wei

  • Self-spectral learning with GAN based spectral–spatial target detection for hyperspectral image

    Weiying Xie;Jiaqing Zhang;Jie Lei;Yunsong Li

  • Spectral Adversarial Feature Learning for Anomaly Detection in Hyperspectral Imagery

    Weiying Xie;Baozhu Liu;Yunsong Li;Jie Lei

  • SRUN: Spectral Regularized Unsupervised Networks for Hyperspectral Target Detection

    Weiying Xie;Jian Yang;Jie Lei;Yunsong Li

  • High-quality spectral-spatial reconstruction using saliency detection and deep feature enhancement

    Weiying Xie;Yanzi Shi;Yunsong Li;Xiuping Jia

  • Discriminative Feature Learning With Distance Constrained Stacked Sparse Autoencoder for Hyperspectral Target Detection

    Yanzi Shi;Jie Lei;Yaping Yin;Kailang Cao

  • When Spark Meets FPGAs: A Case Study for Next-Generation DNA Sequencing Acceleration

    Yu-Ting Chen;Jason Cong;Zhenman Fang;Jie Lei

Frequent Co-Authors

Qian Du
Qian Du Mississippi State University
Xiuping Jia
Xiuping Jia University of New South Wales
Chein-I Chang
Chein-I Chang University of Maryland, Baltimore County
Jason Cong
Jason Cong University of California, Los Angeles

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