World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
36
Citations
6466
World Ranking
788
National Ranking
261

Computer Science

D-Index
38
Citations
7392
World Ranking
10112
National Ranking
1259

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Xiu-Shen Wei is affiliated with Southeast University in China and has a research focus within the field of Computer Science. Their scholarly activity primarily centers on the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Industrial and Manufacturing Engineering, and Electrical and Electronic Engineering.

The scientist has contributed extensively to topics including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Machine Learning and Data Classification
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Image Retrieval and Classification Techniques

Their publication record includes research outputs in frequent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Image Processing
  • International Journal of Computer Vision

Some recent papers authored or co-authored by Xiu-Shen Wei include:

  • Delving deep into spatial pooling for squeeze-and-excitation networks, 2021, Pattern Recognition
  • Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Learning Semantically Enhanced Feature for Fine-Grained Image Classification, 2020, IEEE Signal Processing Letters
  • Structure-aware human pose estimation with graph convolutional networks, 2020, Pattern Recognition
  • Learning Graph Convolutional Networks for Multi-Label Recognition and Applications, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

Xiu-Shen Wei has frequently collaborated with several co-authors, including:

  • Yazhou Yao
  • Peng Wang
  • Yuxin Peng
  • Yang Shen
  • Jianxin Wu

In addition to journal and conference papers, Xiu-Shen Wei has contributed to book publications. One such example is the book titled Fine-Grained Image Analysis: Modern Approaches, published in 2023 by Morgan & Claypool Publishers.

Best Publications

  • Multi-Label Image Recognition With Graph Convolutional Networks

    Zhao-Min Chen;Xiu-Shen Wei;Peng Wang;Yanwen Guo

  • BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

    Boyan Zhou;Quan Cui;Xiu-Shen Wei;Zhao-Min Chen

  • Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval

    Xiu-Shen Wei;Jian-Hao Luo;Jianxin Wu;Zhi-Hua Zhou

  • Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation

    Yu Chen;Chunhua Shen;Xiu-Shen Wei;Lingqiao Liu

  • Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization

    Xiu-Shen Wei;Chen-Wei Xie;Jianxin Wu;Chunhua Shen

  • Exploring Categorical Regularization for Domain Adaptive Object Detection

    Chang-Dong Xu;Xing-Ran Zhao;Xin Jin;Xiu-Shen Wei

  • Fine-Grained Image Analysis with Deep Learning: A Survey

    Xiu-Shen Wei;Yi-Zhe Song;Oisin Mac Aodha;Jianxin Wu

  • Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification

    Peng Wang;Kai Han;Xiu-Shen Wei;Lei Zhang

  • Delving deep into spatial pooling for squeeze-and-excitation networks

    Xin Jin;Yanping Xie;Xiu-Shen Wei;Xiu-Shen Wei;Bo-Rui Zhao

  • Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation

    Yu Zhang;Xiu-Shen Wei;Jianxin Wu;Jianfei Cai

  • Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples

    Xiu-Shen Wei;Peng Wang;Lingqiao Liu;Chunhua Shen

  • Scalable Algorithms for Multi-Instance Learning

    Xiu-Shen Wei;Jianxin Wu;Zhi-Hua Zhou

  • Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition

    Xiu-Shen Wei;Chen-Wei Xie;Jianxin Wu

  • RPC: A Large-Scale Retail Product Checkout Dataset.

    Xiu-Shen Wei;Quan Cui;Lei Yang;Peng Wang

  • Deep Label Distribution Learning for Apparent Age Estimation

    Xu Yang;Bin-Bin Gao;Chao Xing;Zeng-Wei Huo

  • Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks.

    Yongshun Zhang;Xiu-Shen Wei;Boyan Zhou;Jianxin Wu

  • Unsupervised object discovery and co-localization by deep descriptor transformation

    Xiu-Shen Wei;Chen-Lin Zhang;Jianxin Wu;Chunhua Shen

  • Deep Bimodal Regression for Apparent Personality Analysis

    Chen-Lin Zhang;Hao Zhang;Xiu-Shen Wei;Jianxin Wu

  • Learning Semantically Enhanced Feature for Fine-Grained Image Classification

    Wei Luo;Hengmin Zhang;Jun Li;Xiu-Shen Wei

  • Weakly Supervised Fine-Grained Image Categorization

    Yu Zhang;Xiu-Shen Wei;Jianxin Wu;Jianfei Cai

  • Learning Graph Convolutional Networks for Multi-Label Recognition and Applications

    Zhaomin Chen;Xiu Shen Wei;Peng Wang;Yanwen Guo

  • Structure-aware human pose estimation with graph convolutional networks

    Yanrui Bin;Zhao-Min Chen;Xiu-Shen Wei;Xinya Chen

  • Deep Age Distribution Learning for Apparent Age Estimation

    Zengwei Huo;Xu Yang;Chao Xing;Ying Zhou

Frequent Co-Authors

Jianxin Wu
Jianxin Wu Nanjing University
Chunhua Shen
Chunhua Shen Zhejiang University
Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Lingqiao Liu
Lingqiao Liu University of Adelaide
Jian Zhang
Jian Zhang University of Technology Sydney
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Jianfei Cai
Jianfei Cai Monash University
Serge Belongie
Serge Belongie University of Copenhagen
Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology

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