World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
13307
World Ranking
3830
National Ranking
512

Overview

Linlin Shen is affiliated with Shenzhen University in China and has contributed extensively to the field of computer science, particularly focusing on computer vision and pattern recognition. Their research work spans several closely related subfields including artificial intelligence, radiology, nuclear medicine and imaging, media technology, and signal processing.

Shen's research topics cover various areas with notable emphasis on face recognition and analysis, advanced neural network applications, generative adversarial networks and image synthesis, domain adaptation and few-shot learning, as well as AI applications in cancer detection. Additionally, the scientist addresses advanced image and video retrieval techniques and anomaly detection methodologies.

Frequent publication venues for Shen's work include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Pattern Recognition
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Shen has collaborated regularly with several coauthors, with the most frequent being:

  • Weicheng Xie
  • Xianxu Hou
  • Siyang Song
  • Wenting Chen
  • Jinheng Xie

Notable publications by Linlin Shen include:

  • "Brain-inspired computing with memristors: Challenges in devices, circuits, and systems" (2020), published in Applied Physics Reviews
  • "CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Spectral Representation of Behaviour Primitives for Depression Analysis" (2020), published in IEEE Transactions on Affective Computing
  • "C2 AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition" (2022), published in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • A review on Gabor wavelets for face recognition

    Linlin Shen;Li Bai

  • Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network.

    Yuexiang Li;Linlin Shen

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • Deep Feature Consistent Variational Autoencoder

    Xianxu Hou;Linlin Shen;Ke Sun;Guoping Qiu

  • Gabor wavelets and General Discriminant Analysis for face identification and verification

    LinLin Shen;Li Bai;Michael Fairhurst

  • Brain-inspired computing with memristors: Challenges in devices, circuits, and systems

    Yang Zhang;Yang Zhang;Zhongrui Wang;Jiadi Zhu;Yuchao Yang

  • Quality Measures of Fingerprint Images

    LinLin Shen;Alex ChiChung Kot;Wai Mun Koo

  • Three-Dimensional Gabor Wavelets for Pixel-Based Hyperspectral Imagery Classification

    Linlin Shen;Sen Jia

  • Invariant feature extraction for gait recognition using only one uniform model

    Shiqi Yu;Haifeng Chen;Qing Wang;Linlin Shen

  • Wavelet Integrated CNNs for Noise-Robust Image Classification

    Qiufu Li;Linlin Shen;Sheng Guo;Zhihui Lai

  • Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal

    Sen Jia;Zhen Ji;Yuntao Qian;Linlin Shen

  • WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

    Qiufu Li;Linlin Shen;Sheng Guo;Zhihui Lai

  • Visual-Patch-Attention-Aware Saliency Detection

    Muwei Jian;Kin-Man Lam;Junyu Dong;Linlin Shen

  • FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism

    Wei Chen;Xi Jia;Hyung Jin Chang;Jinming Duan

  • Gabor Feature-Based Collaborative Representation for Hyperspectral Imagery Classification

    Sen Jia;Linlin Shen;Qingquan Li

  • Directional binary code with application to PolyU near-infrared face database

    Baochang Zhang;Lei Zhang;David Zhang;Linlin Shen

  • Face authentication test on the BANCA database

    K. Messer;J. Kittler;M. Sadeghi;M. Hamouz

  • MutualBoost learning for selecting Gabor features for face recognition

    Linlin Shen;Li Bai

  • Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection.

    Xuechen Li;Linlin Shen;Xinpeng Xie;Shiyun Huang

  • Spectral Representation of Behaviour Primitives for Depression Analysis

    Siyang Song;Shashank Jaiswal;Linlin Shen;Michel Valstar

  • Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework

    Zexuan Zhu;Sen Jia;Shan He;Yiwen Sun

Frequent Co-Authors

Meng Yang
Meng Yang Sun Yat-sen University
Zhihui Lai
Zhihui Lai Shenzhen University
Sen Jia
Sen Jia Shenzhen University
Li Bai
Li Bai University of Nottingham
Guoping Qiu
Guoping Qiu University of Nottingham
Yefeng Zheng
Yefeng Zheng Tencent (China)
Michel Valstar
Michel Valstar University of Nottingham
Qingquan Li
Qingquan Li Shenzhen University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Lifang He
Lifang He Lehigh University

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