World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
12249
World Ranking
5545
National Ranking
167

Overview

Jun Zhou is affiliated with Griffith University in Australia and has contributed extensively to the field of computer science, with a primary focus on artificial intelligence and related subfields. Their research portfolio includes work in areas such as advanced graph neural networks, topic modeling, recommender systems, privacy-preserving technologies in data, domain adaptation and few-shot learning, graph theory and algorithms, and adversarial robustness in machine learning.

Their main fields of study document 317 publications in computer science, with 198 specifically in artificial intelligence. Other significant subfields include computer vision and pattern recognition (51 publications), information systems (43 publications), management science and operations research (12 publications), and molecular biology (11 publications).

Jun Zhou has been frequently published in several academic venues. Their most prominent publication outlets are:

  • arXiv (Cornell University) with 72 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 6 publications
  • IEEE Transactions on Knowledge and Data Engineering with 5 publications
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management with 4 publications
  • Proceedings of the VLDB Endowment with 3 publications

Some of their recent papers include:

  • "EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis" (2021), published in IEEE Transactions on Knowledge and Data Engineering
  • "AGL" (2020), published in Proceedings of the VLDB Endowment
  • "ASFGNN: Automated separated-federated graph neural network" (2021), published in Peer-to-Peer Networking and Applications
  • "Rapid Target Detection of Fruit Trees Using UAV Imaging and Improved Light YOLOv4 Algorithm" (2022), published in Remote Sensing
  • "AGL: a Scalable System for Industrial-purpose Graph Machine Learning" (2020), published in arXiv (Cornell University)

Frequent collaborators of Jun Zhou include Zhiqiang Zhang, Chaochao Chen, Longfei Li, and Xiaolu Zhang. These co-authors have worked with Zhou on multiple projects and publications, indicating ongoing research partnerships.

Best Publications

  • A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects.

    Zewen Li;Fan Liu;Wenjie Yang;Shouheng Peng

  • Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization

    Yuntao Qian;Sen Jia;Jun Zhou;A. Robles-Kelly

  • Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features

    Yuntao Qian;Minchao Ye;Jun Zhou

  • MILIS: Multiple Instance Learning with Instance Selection

    Zhouyu Fu;A Robles-Kelly;Jun Zhou

  • Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss

    Cheng Yan;Guansong Pang;Xiao Bai;Changhong Liu

  • Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery

    Yuntao Qian;Fengchao Xiong;Shan Zeng;Jun Zhou

  • Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images

    Chen Wang;Xiao Bai;Shuai Wang;Jun Zhou

  • Material Based Object Tracking in Hyperspectral Videos

    Fengchao Xiong;Jun Zhou;Yuntao Qian

  • On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification

    Jie Liang;Jun Zhou;Yuntao Qian;Lian Wen

  • Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral–Spatial Hyperspectral Imagery Denoising

    Minchao Ye;Yuntao Qian;Jun Zhou

  • Goal-Oriented Gaze Estimation for Zero-Shot Learning

    Yang Liu;Lei Zhou;Xiao Bai;Yifei Huang

  • Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification

    Yanyang Gu;Zongyuan Ge;C. Paul Bonnington;Jun Zhou

  • VHR Object Detection Based on Structural Feature Extraction and Query Expansion

    Xiao Bai;Huigang Zhang;Jun Zhou

  • Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification

    Minchao Ye;Yuntao Qian;Jun Zhou;Yuan Yan Tang

  • Road tracking in aerial images based on human–computer interaction and Bayesian filtering

    Jun Zhou;Walter F. Bischof;Terry Caelli

  • Use of SIMD Vector Operations to Accelerate Application Code Performance on Low-Powered ARM and Intel Platforms

    Gaurav Mitra;Beau Johnston;Alistair P. Rendell;Eric McCreath

  • Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization

    Xiyou Fu;Sen Jia;Lina Zhuang;Meng Xu

  • Mixing Linear SVMs for Nonlinear Classification

    Zhouyu Fu;A Robles-Kelly;Jun Zhou

  • Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization

    Fengchao Xiong;Yuntao Qian;Jun Zhou;Yuan Yan Tang

  • Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals

    Tian Hu;Tian Hu;Tian Hu;Luigi J. Renzullo;Albert I.J.M. van Dijk;Jie He

  • Adaptive hash retrieval with kernel based similarity

    Xiao Bai;Cheng Yan;Haichuan Yang;Lu Bai

  • Hyperspectral Unmixing via L 1/2 Sparsity-Constrained Nonnegative

    Yuntao Qian;Sen Jia;Jun Zhou;Antonio Robles-Kelly

Frequent Co-Authors

Yuntao Qian
Yuntao Qian Zhejiang University
Xiuping Jia
Xiuping Jia University of New South Wales
Edwin R. Hancock
Edwin R. Hancock University of York
Sen Jia
Sen Jia Shenzhen University
Zhihong Xu
Zhihong Xu Griffith University
Alan Wee-Chung Liew
Alan Wee-Chung Liew Griffith University
Walter F. Bischof
Walter F. Bischof University of British Columbia
Luigi Renzullo
Luigi Renzullo Commonwealth Scientific and Industrial Research Organisation
Terry Caelli
Terry Caelli Deakin University
Albert van Dijk
Albert van Dijk Australian National University

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