World's Best Scientists 2026 revealed!
Jianmin Jiang

Jianmin Jiang

D-Index & Metrics

Computer Science

D-Index
47
Citations
10060
World Ranking
6436
National Ranking
856

Overview

Jianmin Jiang is affiliated with Shenzhen University in China and specializes in Computer Science, with a primary focus on Computer Vision and Pattern Recognition. Their research spans various subfields including Artificial Intelligence, Computational Mechanics, Cognitive Neuroscience, and Computer Graphics and Computer-Aided Design.

They have contributed extensively to topics related to advanced vision and imaging, with notable engagement in advanced image and video retrieval techniques, visual attention and saliency detection, and image and video quality assessment. Their work also covers domain adaptation and few-shot learning as well as image enhancement techniques and 3D shape modeling and analysis.

Jiang's recent papers include:

  • URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures (2021), published in Measurement
  • Unsupervised deep clustering via adaptive GMM modeling and optimization (2021), published in Neurocomputing
  • A Multi-Task Collaborative Network for Light Field Salient Object Detection (2020), published in IEEE Transactions on Circuits and Systems for Video Technology
  • Progressive Point Cloud Upsampling via Differentiable Rendering (2021), published in IEEE Transactions on Circuits and Systems for Video Technology

Frequent publication venues for Jiang's research include:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • SSRN Electronic Journal
  • Neurocomputing
  • IEEE Transactions on Circuits and Systems for Video Technology

Some of the frequent co-authors collaborating with Jiang are:

  • Xu Wang
  • Yu Zhou
  • Jinghua Wang
  • Qiudan Zhang
  • Sam Kwong

The volume of Jiang's publications reflects a focus on high-impact topics within computer science, particularly those that intersect with visual computing, imaging enhancements, and machine learning techniques. Their work incorporates interdisciplinary approaches bridging cognitive neuroscience and computational mechanics as applied to computer vision problems.

Best Publications

  • A Simple Pooling-Based Design for Real-Time Salient Object Detection

    Jiang-Jiang Liu;Qibin Hou;Ming-Ming Cheng;Jiashi Feng

  • URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement

    Unknown

  • Medical image analysis with artificial neural networks.

    Jianmin Jiang;Paul R. Trundle;Jinchang Ren

  • Authentication Protocols for Internet of Things: A Comprehensive Survey

    Mohamed Amine Ferrag;Leandros A. Maglaras;Helge Janicke;Jianmin Jiang

  • A novel feature selection approach for biomedical data classification

    Yonghong Peng;Zhiqing Wu;Jianmin Jiang

  • Image compression with neural networks } A survey

    J. Jiang

  • Data Augmentation for EEG-Based Emotion Recognition with Deep Convolutional Neural Networks

    Fang Wang;Sheng-hua Zhong;Jianfeng Peng;Jianmin Jiang

  • Intrusion detection in SCADA systems using machine learning techniques

    Leandros A. Maglaras;Jianmin Jiang

  • The spatial relationship of DCT coefficients between a block and its sub-blocks

    Jianmin Jiang;Guocan Feng

  • A Cybersecurity Detection Framework for Supervisory Control and Data Acquisition Systems

    Tiago Cruz;Luis Rosa;Jorge Proenca;Leandros Maglaras

  • Offline handwritten Arabic cursive text recognition using Hidden Markov Models and re-ranking

    Jawad H AlKhateeb;Jinchang Ren;Jianmin Jiang;Husni Al-Muhtaseb

  • JPEG compressed image retrieval via statistical features

    Guocan Feng;Guocan Feng;Jianmin Jiang

  • Perceptual Image Hashing Based on Virtual Watermark Detection

    F. Khelifi;Jianmin Jiang

  • A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos

    Zheng Wang;Jinchang Ren;Dong Zhang;Meijun Sun

  • Hybrid Sampling-Based Clustering Ensemble With Global and Local Constitutions

    Yun Yang;Jianmin Jiang

  • A systematic review of data protection and privacy preservation schemes for smart grid communications

    Mohamed Amine Ferrag;Leandros A. Maglaras;Helge Janicke;Jianmin Jiang

  • A novel clustering method for static video summarization

    Jiaxin Wu;Sheng-Hua Zhong;Jianmin Jiang;Yunyun Yang

  • Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles via Crowdsourcing

    Yan Wang;Jianmin Jiang;Tingting Mu

  • Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures

    Adhiyaman Manickam;Jianmin Jiang;Yu Zhou;Abhinav Sagar

  • Direct content access and extraction from JPEG compressed images

    Jianmin Jiang;Andrew James Armstrong;Guo-Can Feng

  • Sparse Unsupervised Dimensionality Reduction for Multiple View Data

    Yahong Han;Fei Wu;Dacheng Tao;Jian Shao

  • A fuzzy logic approach for detection of video shot boundaries

    Hui Fang;Jianmin Jiang;Yue Feng

Frequent Co-Authors

Jinchang Ren
Jinchang Ren Robert Gordon University
Leandros A. Maglaras
Leandros A. Maglaras Edinburgh Napier University
Geyong Min
Geyong Min University of Exeter
Jingyu Yang
Jingyu Yang Tianjin University
Sam Kwong
Sam Kwong Lingnan University
Wei Feng
Wei Feng Tianjin University
Qinghua Hu
Qinghua Hu Tianjin University
Adrian Hilton
Adrian Hilton University of Surrey
Shiqi Wang
Shiqi Wang City University of Hong Kong
Lei Shu
Lei Shu Nanjing Agricultural University

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