World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
7600
World Ranking
5712
National Ranking
762

Overview

Shuqiang Jiang is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the field of computer science, with a focus on computer vision and pattern recognition. Their research spans multiple interdisciplinary subfields including artificial intelligence, biomedical engineering, public health, environmental and occupational health, and molecular biology.

Their work covers a range of topics within computer science, such as:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced Chemical Sensor Technologies
  • Nutritional Studies and Diet
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Image Retrieval and Classification Techniques

Shuqiang Jiang has published numerous papers in several prominent venues. Frequent publication venues include:

  • IEEE Transactions on Image Processing
  • arXiv (Cornell University)
  • ACM Transactions on Multimedia Computing Communications and Applications
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent notable papers include:

  • "Large Scale Visual Food Recognition," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach," 2021, IEEE Transactions on Image Processing
  • "A review on vision-based analysis for automatic dietary assessment," 2022, Trends in Food Science & Technology
  • "Applications of knowledge graphs for food science and industry," 2022, Patterns
  • "Attribute-Guided Feature Learning for Few-Shot Image Recognition," 2020, IEEE Transactions on Multimedia

Their research collaborations include frequent co-authors such as:

  • Weiqing Min
  • Xinhang Song
  • Xiangyang Li
  • Sujuan Hou
  • Yuanjie Zheng

Best Publications

  • A Survey on Food Computing

    Weiqing Min;Shuqiang Jiang;Linhu Liu;Yong Rui

  • Scene Recognition with CNNs: Objects, Scales and Dataset Bias

    Luis Herranz;Shuqiang Jiang;Xiangyang Li

  • Large Scale Visual Food Recognition

    Unknown

  • Know More Say Less: Image Captioning Based on Scene Graphs

    Xiangyang Li;Shuqiang Jiang

  • Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition

    Shuqiang Jiang;Weiqing Min;Linhu Liu;Zhengdong Luo

  • Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach

    Xinda Liu;Weiqing Min;Shuhuan Mei;Lili Wang

  • Food Recommendation: Framework, Existing Solutions, and Challenges

    Weiqing Min;Shuqiang Jiang;Ramesh Jain

  • Building contextual visual vocabulary for large-scale image applications

    Shiliang Zhang;Qingming Huang;Gang Hua;Shuqiang Jiang

  • ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network

    Weiqing Min;Linhu Liu;Zhiling Wang;Zhengdong Luo

  • Trajectory based event tactics analysis in broadcast sports video

    Guangyu Zhu;Qingming Huang;Changsheng Xu;Yong Rui

  • Affective Visualization and Retrieval for Music Video

    Shiliang Zhang;Qingming Huang;Shuqiang Jiang;Wen Gao

  • Event Tactic Analysis Based on Broadcast Sports Video

    Guangyu Zhu;Changsheng Xu;Qingming Huang;Yong Rui

  • You Are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis

    Weiqing Min;Bing-Kun Bao;Shuhuan Mei;Yaohui Zhu

  • Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration

    Weiqing Min;Shuqiang Jiang;Jitao Sang;Huayang Wang

  • An effective method to detect and categorize digitized traditional Chinese paintings

    Shuqiang Jiang;Qingming Huang;Qixiang Ye;Wen Gao

  • Detecting Violent Scenes in Movies by Auditory and Visual Cues

    Yu Gong;Weiqiang Wang;Shuqiang Jiang;Qingming Huang

  • Geolocalized Modeling for Dish Recognition

    Ruihan Xu;Luis Herranz;Shuqiang Jiang;Shuang Wang

  • Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition

    Yaohui Zhu;Chenlong Liu;Shuqiang Jiang

  • Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition

    Weiqing Min;Linhu Liu;Zhengdong Luo;Shuqiang Jiang

  • Applications of knowledge graphs for food science and industry

    Unknown

  • Region-based visual attention analysis with its application in image browsing on small displays

    Huiying Liu;Shuqiang Jiang;Qingming Huang;Changsheng Xu

  • INSTRE: A New Benchmark for Instance-Level Object Retrieval and Recognition

    Shuang Wang;Shuqiang Jiang

Frequent Co-Authors

Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Wen Gao
Wen Gao Peking University
Shuhui Wang
Shuhui Wang Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Hongxun Yao
Hongxun Yao Harbin Institute of Technology
Qixiang Ye
Qixiang Ye Chinese Academy of Sciences
Jian Cheng
Jian Cheng Chinese Academy of Sciences
Yong Rui
Yong Rui Lenovo (China)
Tiejun Huang
Tiejun Huang Peking University

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