World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
17036
World Ranking
2595
National Ranking
1291

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to collaborative signal processing in sensor networks

Overview

Hairong Qi is affiliated with the University of Tennessee at Knoxville in the United States. Their research primarily spans the fields of Computer Science and Engineering, with notable contributions in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Aerospace Engineering, and Atmospheric Science.

Their work covers several main topics, including:

  • Remote-Sensing Image Classification
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Remote Sensing and Land Use
  • Advanced Neural Network Applications
  • Animal Behavior and Welfare Studies
  • Smart Grid Security and Resilience

Hairong Qi's publication record includes several recent papers:

  • "Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "Analyzing User-Level Privacy Attack Against Federated Learning," 2020, IEEE Journal on Selected Areas in Communications
  • "Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems," 2020, IEEE Transactions on Mobile Computing
  • "Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Target Detection Through Tree-Structured Encoding for Hyperspectral Images," 2020, IEEE Transactions on Geoscience and Remote Sensing

The scholar has frequently published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • SSRN Electronic Journal
  • IEEE Transactions on Neural Networks and Learning Systems

They have collaborated extensively with other researchers, notably with the following frequent co-authors:

  • Ying Qu
  • Tom Tabler
  • Mustafa Jaihuni
  • Hao Gan
  • Yang Zhao

Hairong Qi was recognized as an IEEE Fellow in 2018 for contributions to collaborative signal processing in sensor networks.

Best Publications

  • Grid coverage for surveillance and target location in distributed sensor networks

    K. Chakrabarty;S.S. Iyengar;Hairong Qi;Eungchun Cho

  • Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization

    Lidan Miao;Hairong Qi

  • Age Progression/Regression by Conditional Adversarial Autoencoder

    Zhifei Zhang;Yang Song;Hairong Qi

  • Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

    Zhibo Wang;Mengkai Song;Zhifei Zhang;Yang Song

  • CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

    Ramin Nabati;Hairong Qi

  • On computing mobile agent routes for data fusion in distributed sensor networks

    Q. Wu;N.S.V. Rao;J. Barhen;S.S. Iyenger

  • Multiresolution data integration using mobile agents in distributed sensor networks

    Hairong Qi;S. Iyengar;K. Chakrabarty

  • Mobile-agent-based collaborative signal and information processing in sensor networks

    Hairong Qi;Yingyue Xu;Xiaoling Wang

  • Image Super-Resolution by Neural Texture Transfer

    Zhifei Zhang;Zhaowen Wang;Zhe Lin;Hairong Qi

  • Friendbook: A Semantic-Based Friend Recommendation System for Social Networks

    Zhibo Wang;Jilong Liao;Qing Cao;Hairong Qi

  • RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles

    Ramin Nabati;Hairong Qi

  • Distributed sensor networks—a review of recent research

    Hairong Qi;S.Sitharama Iyengar;Krishnendu Chakrabarty

  • Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification.

    Yuxiang Zhang;Wei Li;Mengmeng Zhang;Ying Qu

  • Machine Vision

    Wesley E. Snyder;Hairong Qi

  • Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps

    Jiajia Luo;Wei Wang;Hairong Qi

  • Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution

    Ying Qu;Hairong Qi;Chiman Kwan

  • Analyzing User-Level Privacy Attack Against Federated Learning

    Mengkai Song;Zhibo Wang;Zhifei Zhang;Yang Song

  • uDAS: An Untied Denoising Autoencoder With Sparsity for Spectral Unmixing

    Ying Qu;Hairong Qi

  • Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing

    Zhibo Wang;Jiahui Hu;Ruizhao Lv;Jian Wei

  • Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution

    Li He;Hairong Qi;Russell Zaretzki

  • Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition

    Ying Qu;Wei Wang;Rui Guo;Bulent Ayhan

  • Binary Tree-based Generic Demosaicking Algorithm for Multispectral Filter Arrays

    Lidan Miao;Hairong Qi;R. Ramanath;W.E. Snyder

  • Talking Face Generation by Conditional Recurrent Adversarial Network

    Yang Song;Jingwen Zhu;Dawei Li;Andy Wang

Frequent Co-Authors

Zhibo Wang
Zhibo Wang Wuhan University
Qing Cao
Qing Cao University of Tennessee at Knoxville
Yilu Liu
Yilu Liu University of Tennessee at Knoxville
S. Sitharama Iyengar
S. Sitharama Iyengar Florida International University
Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Leon M. Tolbert
Leon M. Tolbert University of Tennessee at Knoxville
Chiman Kwan
Chiman Kwan Signal Processing (United States)
Xiaorui Wang
Xiaorui Wang The Ohio State University
Yanfei Gao
Yanfei Gao University of Tennessee at Knoxville
Peter K. Liaw
Peter K. Liaw University of Tennessee at Knoxville

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