World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
8495
World Ranking
4863
National Ranking
258

Overview

Min Xu is affiliated with the University of Technology Sydney in Australia. Their research spans multiple areas within computer science and engineering, with a significant focus on computer vision, artificial intelligence, and electronic engineering.

Their primary fields of study include:

  • Computer Science
  • Engineering

Within these, subfields of particular interest are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Materials Chemistry
  • Biomedical Engineering

Min Xu's scholarly contributions extend to a variety of topics, prominently featuring:

  • Optical measurement and interference techniques
  • Advanced Neural Network Applications
  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications
  • AI in cancer detection

Their publication record includes numerous papers and books, with a notable presence in high-impact journals and preprint platforms. Frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Applied Optics
  • IEEE Transactions on Multimedia
  • Journal of the Optical Society of America A

Min Xu has also contributed to book publications, mainly with Springer Science+Business Media, where they have authored and co-authored multiple editions of "Image and Graphics" in 2023.

Recent notable papers authored by Min Xu include:

  • "A Survey on Machine Learning Techniques for Cyber Security in the Last Decade" (2020) - IEEE Access
  • "Deep-IRTarget: An Automatic Target Detector in Infrared Imagery Using Dual-Domain Feature Extraction and Allocation" (2021) - IEEE Transactions on Multimedia
  • "Free Lunch for Few-shot Learning: Distribution Calibration" (2021) - arXiv (Cornell University)
  • "Self-supervised Pretraining of Visual Features in the Wild" (2021) - arXiv (Cornell University)
  • "GEME: Dual-stream multi-task GEnder-based micro-expression recognition" (2020) - Neurocomputing

Min Xu often collaborates with several frequent co-authors, including:

  • Zhenkun Lei
  • Chen Tang
  • Haimin Zhang
  • Jiahao Xia

Best Publications

  • A Survey on Machine Learning Techniques for Cyber Security in the Last Decade

    Kamran Shaukat;Suhuai Luo;Vijay Varadharajan;Ibrahim A. Hameed

  • A unified framework for semantic shot classification in sports video

    Ling-Yu Duan;Min Xu;Qi Tian;Chang-Sheng Xu

  • A mid-level representation framework for semantic sports video analysis

    Ling-Yu Duan;Min Xu;Tat-Seng Chua;Qi Tian

  • Creating audio keywords for event detection in soccer video

    Min Xu;N.C. Maddage;Changsheng Xu;M. Kankanhalli

  • HMM-Based audio keyword generation

    Min Xu;Ling-Yu Duan;Jianfei Cai;Liang-Tien Chia

  • Deep-IRTarget: An Automatic Target Detector in Infrared Imagery using Dual-domain Feature Extraction and Allocation

    Ruiheng Zhang;Lixin Xu;Zhengyu Yu;Ye Shi

  • LSTM-based Flight Trajectory Prediction

    Zhiyuan Shi;Min Xu;Quan Pan;Bing Yan

  • Free Lunch for Few-shot Learning: Distribution Calibration

    Shuo Yang;Lu Liu;Min Xu

  • Learning Multi-level Deep Representations for Image Emotion Classification

    Tianrong Rao;Xiaoxu Li;Min Xu

  • Hierarchical movie affective content analysis based on arousal and valence features

    Min Xu;Jesse S. Jin;Suhuai Luo;Lingyu Duan

  • Affective content analysis in comedy and horror videos by audio emotional event detection

    M. Xu;L.-T. Chia;J. Jin

  • GEME: Dual-stream multi-task GEnder-based micro-expression recognition

    Xuan Nie;Madhumita A. Takalkar;Mengyang Duan;Haimin Zhang

  • A survey: facial micro-expression recognition

    Madhumita A. Takalkar;Min Xu;Qiang Wu;Zenon Chaczko

  • Multi-level region-based Convolutional Neural Network for image emotion classification

    Tianrong Rao;Xiaoxu Li;Haimin Zhang;Min Xu

  • Multi-camera multi-player tracking with deep player identification in sports video

    Ruiheng Zhang;Ruiheng Zhang;Lingxiang Wu;Yukun Yang;Wanneng Wu;Wanneng Wu

  • Retinal fundus image registration via vascular structure graph matching

    Kexin Deng;Jie Tian;Jian Zheng;Xing Zhang

  • 4-D Flight Trajectory Prediction With Constrained LSTM Network

    Zhiyuan Shi;Min Xu;Quan Pan

  • Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition

    Xinge Zhu;Liang Li;Weigang Zhang;Tianrong Rao

  • Audio keywords generation for sports video analysis

    Min Xu;Changsheng Xu;Lingyu Duan;Jesse S. Jin

  • Land-Use/Land-Cover Changes and Their Influence on the Ecosystem in Chengdu City, China during the Period of 1992–2018

    Xiaojuan Lin;Min Xu;Chunxiang Cao;Ramesh P. Singh

  • Spectrally resolved bioluminescence tomography with adaptive finite element analysis: methodology and simulation

    Yujie Lv;Jie Tian;Jie Tian;Wenxiang Cong;Ge Wang

  • Salient Feature Region: A New Method for Retinal Image Registration

    Jian Zheng;Jie Tian;Kexin Deng;Xiaoqian Dai

  • Image Based Facial Micro-Expression Recognition Using Deep Learning on Small Datasets

    Madhumita A. Takalkar;Min Xu

  • A fusion scheme of visual and auditory modalities for event detection in sports video

    Min Xu;Ling-Yu Duan;Chang-Sheng Xu;Qi Tian

Frequent Co-Authors

Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Xiangjian He
Xiangjian He University of Technology Sydney
Jinqiao Wang
Jinqiao Wang Chinese Academy of Sciences
Wei Chen
Wei Chen Northwestern University
Jie Tian
Jie Tian Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Hanqing Lu
Hanqing Lu Chinese Academy of Sciences
Ling-Yu Duan
Ling-Yu Duan Peking University
Xiaowen Li
Xiaowen Li Tsinghua University
Liang-Tien Chia
Liang-Tien Chia Nanyang Technological University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying engineering and technology in the USA opens doors to a diverse range of interdisciplinary careers. Many students expand their expertise through online degree programs that complement technical skills with business, law, or communication knowledge.

For those interested in leadership or managerial roles, the cheapest aacsb online mba no gmat paths offer cost-effective ways to gain core business acumen, making graduates more versatile in tech-driven industries. On the legal front, understanding regulations and compliance is vital. Exploring aba-approved paralegal programs can prepare you to navigate intellectual property or contract law within the STEM sector.

If your interests lean toward team management, consider a masters in human resource management. This qualification can help technology professionals excel in recruiting, developing, and leading technical teams. Additionally, effective communication is critical in today’s tech-driven world. Completing an online master's in communications enables graduates to bridge the gap between technical and non-technical stakeholders, strengthening project success and career growth.

Best Scientists Citing Min Xu

Trending Scientists