World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
95
Citations
42883
World Ranking
457
National Ranking
251

Overview

Yun Fu is affiliated with Northeastern University in the United States and conducts research primarily in the fields of Computer Science and Engineering. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering, Civil and Structural Engineering, and Electrical and Electronic Engineering.

The main research topics covered by Yun Fu include Face Recognition and Analysis, Domain Adaptation and Few-Shot Learning, Biometric Identification and Security, Geotechnical Engineering and Underground Structures, Underground Infrastructure and Sustainability, Infrastructure Maintenance and Monitoring, and Advanced Image Processing Techniques.

Yun Fu has co-authored several papers with frequent collaborators such as Joseph P. Robinson, Ming Shao, Matthew A. Turk, Rama Chellappa, and Yu Yin.

Their frequent publication venues include:

  • arXiv (Cornell University)
  • Tunnelling and Underground Space Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)
  • Energies

Representative recent papers authored or co-authored by Yun Fu are:

  • Development of trenchless rehabilitation for underground pipelines from an academic perspective (2023), published in Tunnelling and Underground Space Technology
  • AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution (2024), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces (2021), published in 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)
  • Expanding the Latent Space of StyleGAN for Real Face Editing (2022), published on arXiv (Cornell University)
  • Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge (2020), published on arXiv (Cornell University)

Best Publications

  • Image Super-Resolution Using Very Deep Residual Channel Attention Networks

    Yulun Zhang;Kunpeng Li;Kai Li;Lichen Wang

  • Residual Dense Network for Image Super-Resolution

    Yulun Zhang;Yapeng Tian;Yu Kong;Bineng Zhong

  • Large Scale Incremental Learning

    Yue Wu;Yinpeng Chen;Lijuan Wang;Yuancheng Ye

  • Age Synthesis and Estimation via Faces: A Survey

    Yun Fu;Guodong Guo;T S Huang

  • Residual Dense Network for Image Restoration

    Yulun Zhang;Yapeng Tian;Yu Kong;Bineng Zhong

  • Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression

    Guodong Guo;Yun Fu;C.R. Dyer;T.S. Huang

  • Learning With $ll ^{1}$ -Graph for Image Analysis

    Bin Cheng;Jianchao Yang;Shuicheng Yan;Yun Fu

  • Human age estimation using bio-inspired features

    Guodong Guo;Guowang Mu;Yun Fu;Thomas S Huang

  • Rethinking Classification and Localization for Object Detection

    Yue Wu;Yinpeng Chen;Lu Yuan;Zicheng Liu

  • Human Action Recognition and Prediction: A Survey.

    Yu Kong;Yun Fu

  • TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution

    Yapeng Tian;Yulun Zhang;Yun Fu;Chenliang Xu

  • Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection

    Mohammad Soleymani;Sadjad Asghari-Esfeden;Yun Fu;Maja Pantic

  • Tell Me Where to Look: Guided Attention Inference Network

    Kunpeng Li;Ziyan Wu;Kuan-Chuan Peng;Jan Ernst

  • Visual Semantic Reasoning for Image-Text Matching

    Kunpeng Li;Yulun Zhang;Kai Li;Yuanyuan Li

  • Human Age Estimation With Regression on Discriminative Aging Manifold

    Yun Fu;T.S. Huang

  • Deep Collaborative Filtering via Marginalized Denoising Auto-encoder

    Sheng Li;Jaya Kawale;Yun Fu

  • Residual Non-local Attention Networks for Image Restoration

    Yulun Zhang;Kunpeng Li;Kai Li;Bineng Zhong

  • Multi-View Clustering via Deep Matrix Factorization.

    Handong Zhao;Zhengming Ding;Yun Fu

  • Skeleton based action recognition with convolutional neural network

    Yong Du;Yun Fu;Liang Wang

  • Generalized Transfer Subspace Learning Through Low-Rank Constraint

    Ming Shao;Dmitry Kit;Yun Fu

Frequent Co-Authors

Zhengming Ding
Zhengming Ding Tulane University
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Sheng Li
Sheng Li University of Virginia
Guodong Guo
Guodong Guo West Virginia University
Shuicheng Yan
Shuicheng Yan National University of Singapore
Zhaowen Wang
Zhaowen Wang Adobe Systems (United States)
Ying Wu
Ying Wu Northwestern University
Zicheng Liu
Zicheng Liu Microsoft (United States)
Charles R. Dyer
Charles R. Dyer University of Wisconsin–Madison
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York

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