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Computer Science

D-Index
44
Citations
13310
World Ranking
7402
National Ranking
978

Overview

Jianguo Zhang is affiliated with Southern University of Science and Technology in China. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, and Electrical and Electronic Engineering.

The scientist's work covers multiple advanced topics including Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Multimodal Machine Learning Applications, Topic Modeling, Generative Adversarial Networks and Image Synthesis, AI in cancer detection, and Radiomics and Machine Learning in Medical Imaging.

The frequent publication venues where their research appears include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Pattern Recognition
  • Optics & Laser Technology
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Some recent papers authored or co-authored by Jianguo Zhang are:

  • Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Frequent co-authors collaborating with Jianguo Zhang include:

  • Wenjian Huang
  • Hongwei Li
  • Daoan Zhang
  • Bjoern Menze
  • Philip S. Yu

Best Publications

  • Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study

    Jianguo Zhang;M. Marszalek;S. Lazebnik;C. Schmid

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification

    Weihua Chen;Xiaotang Chen;Jianguo Zhang;Kaiqi Huang

  • Brief review of invariant texture analysis methods

    Jianguo Zhang;Tieniu Tan

  • TEA: Temporal Excitation and Aggregation for Action Recognition

    Yan Li;Bin Ji;Xintian Shi;Jianguo Zhang

  • Jointly learning heterogeneous features for RGB-D activity recognition

    Jian-Fang Hu;Wei-Shi Zheng;Jianhuang Lai;Jianguo Zhang

  • The 2005 PASCAL visual object classes challenge

    Mark Everingham;Andrew Zisserman;Christopher K. I. Williams;Luc Van Gool

  • Jointly learning heterogeneous features for RGB-D activity recognition

    Unknown

  • Dataset issues in object recognition

    Jean Ponce;Jean Ponce;Tamara L. Berg;Mark Everingham;David A. Forsyth

  • Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

    Hugo J. Kuijf;Adria Casamitjana;D. Louis Collins;Mahsa Dadar

  • Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images.

    Hongwei Li;Gongfa Jiang;Jianguo Zhang;Ruixuan Wang

  • A Multi-task Deep Network for Person Re-identification

    Weihua Chen;Xiaotang Chen;Jianguo Zhang;Kaiqi Huang

  • Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

    Ji Wang;Jianguo Zhang;Weidong Bao;Xiaomin Zhu

  • Invariant texture segmentation via circular Gabor filters

    Unknown

  • Discriminative Learning of Latent Features for Zero-Shot Recognition

    Yan Li;Junge Zhang;Jianguo Zhang;Kaiqi Huang

  • Human action segmentation and recognition via motion and shape analysis

    Ling Shao;Ling Ji;Yan Liu;Jianguo Zhang

  • Tumor segmentation from magnetic resonance imaging by learning via one-class support vector machine

    Jianguo Zhang;Kai-Kuang Ma;Meng Hwa Er;Vincent Chong

  • Beyond triplet loss: a deep quadruplet network for person re-identification

    Weihua Chen;Xiaotang Chen;Jianguo Zhang;Kaiqi Huang

  • Local Features and Kernels for Classication of Texture and Object Categories: A Comprehensive Study

    Jianguo Zhang;Svetlana Lazebnik;Cordelia Schmid

  • Progressive Teacher-Student Learning for Early Action Prediction

    Xionghui Wang;Jian-Fang Hu;Jian-Huang Lai;Jianguo Zhang

  • Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study

    Unknown

  • Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study

    Jianguo Zhang;Marcin Marszałek;Svetlana Lazebnik;Cordelia Schmid

  • Early Action Prediction by Soft Regression

    Jian-Fang Hu;Wei-Shi Zheng;Lianyang Ma;Gang Wang

  • Action categorization with modified hidden conditional random field

    Jianguo Zhang;Shaogang Gong

  • Boundary-aware fully convolutional network for brain tumor segmentation

    Haocheng Shen;Ruixuan Wang;Jianguo Zhang;Stephen J. McKenna

Frequent Co-Authors

Stephen J. McKenna
Stephen J. McKenna University of Dundee
Wei-Shi Zheng
Wei-Shi Zheng Sun Yat-sen University
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Kaiqi Huang
Kaiqi Huang Chinese Academy of Sciences
Huiyu Zhou
Huiyu Zhou University of Leicester
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Shaogang Gong
Shaogang Gong Queen Mary University of London
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Daniel Rueckert
Daniel Rueckert Technical University of Munich

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