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2025

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Rising Stars

D-Index
57
Citations
12151
World Ranking
193
National Ranking
63

Computer Science

D-Index
60
Citations
13436
World Ranking
3256
National Ranking
438

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Fumin Shen is affiliated with the University of Electronic Science and Technology of China. Their research primarily focuses on the field of Computer Science, with a notable number of publications spanning various subfields.

The scientist's main subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Computer Networks and Communications
  • Epidemiology

Key main topics in their work cover:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications

Fumin Shen has contributed to a significant number of publications, appearing frequently in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing

Among the recent papers authored or coauthored by Fumin Shen are:

  • Cross-Modal Attention With Semantic Consistence for Image-Text Matching, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Toward Effective Intrusion Detection Using Log-Cosh Conditional Variational Autoencoder, 2020, IEEE Internet of Things Journal
  • PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Temporal Reasoning Graph for Activity Recognition, 2020, IEEE Transactions on Image Processing

Frequent collaborators with whom Fumin Shen has coauthored multiple works include:

  • Heng Tao Shen
  • Xing Xu
  • Yazhou Yao
  • Zhenmin Tang
  • Yang Yang

Best Publications

  • Supervised Discrete Hashing

    Fumin Shen;Chunhua Shen;Wei Liu;Heng Tao Shen

  • Binary Multi-View Clustering

    Zheng Zhang;Li Liu;Fumin Shen;Heng Tao Shen

  • Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval

    Xing Xu;Fumin Shen;Yang Yang;Heng Tao Shen

  • Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions

    Yuan Wang;Dongxiang Zhang;Qing Liu;Fumin Shen

  • Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization

    Fumin Shen;Yan Xu;Li Liu;Yang Yang

  • Discrete Collaborative Filtering

    Hanwang Zhang;Fumin Shen;Wei Liu;Xiangnan He

  • Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval

    Li Liu;Fumin Shen;Yuming Shen;Xianglong Liu

  • Describing Video With Attention-Based Bidirectional LSTM

    Yi Bin;Yang Yang;Fumin Shen;Ning Xie

  • Inductive Hashing on Manifolds

    Fumin Shen;Chunhua Shen;Qinfeng Shi;Anton van den Hengel

  • Cross-Modal Attention With Semantic Consistence for Image–Text Matching

    Xing Xu;Tan Wang;Yang Yang;Lin Zuo

  • Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing

    Heng Tao Shen;Luchen Liu;Yang Yang;Xing Xu

  • Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

    Yazhou Yao;Tao Chen;Guo-Sen Xie;Chuanyi Zhang

  • Hashing on Nonlinear Manifolds

    Fumin Shen;Chunhua Shen;Qinfeng Shi;Anton van den Hengel

  • A Fast Optimization Method for General Binary Code Learning

    Fumin Shen;Xiang Zhou;Yang Yang;Jingkuan Song

  • Jo-SRC: A Contrastive Approach for Combating Noisy Labels

    Yazhou Yao;Zeren Sun;Chuanyi Zhang;Fumin Shen

  • Zero-Shot Sketch-Image Hashing

    Yuming Shen;Li Liu;Fumin Shen;Ling Shao

  • From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis

    Yang Long;Li Liu;Ling Shao;Fumin Shen

  • Zero-Shot Action Recognition with Error-Correcting Output Codes

    Jie Qin;Li Liu;Ling Shao;Fumin Shen

  • Zero-Shot Hashing via Transferring Supervised Knowledge

    Yang Yang;Yadan Luo;Weilun Chen;Fumin Shen

  • Learning Binary Codes for Maximum Inner Product Search

    Fumin Shen;Wei Liu;Shaoting Zhang;Yang Yang

  • Matrix Tri-Factorization with Manifold Regularizations for Zero-Shot Learning

    Xing Xu;Fumin Shen;Yang Yang;Dongxiang Zhang

  • Collective Reconstructive Embeddings for Cross-Modal Hashing

    Mengqiu Hu;Yang Yang;Fumin Shen;Ning Xie

Frequent Co-Authors

Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Yang Yang
Yang Yang University of Electronic Science and Technology of China
Ling Shao
Ling Shao Terminus International
Jian Zhang
Jian Zhang University of Technology Sydney
Zi Huang
Zi Huang University of Queensland
Chunhua Shen
Chunhua Shen Zhejiang University
Wei Liu
Wei Liu Tencent (China)
Jingkuan Song
Jingkuan Song Columbia University
Xuelong Li
Xuelong Li China Telecom (China)
Lianli Gao
Lianli Gao University of Electronic Science and Technology of China

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