World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6157
World Ranking
12957
National Ranking
498

Overview

Yuhong Guo is affiliated with Carleton University in Canada and specializes in Computer Science with a significant focus on Artificial Intelligence. Their research encompasses several subfields, including Computer Vision and Pattern Recognition, Geophysics, Radiology, Nuclear Medicine and Imaging, and Information Systems.

The scientist's work covers several main topics, reflecting a broad scope of interests and applications. These topics include:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Text and Document Classification Technologies
  • Machine Learning and Extreme Learning Machines (ELM)
  • Advanced Neural Network Applications
  • Topic Modeling
  • COVID-19 diagnosis using AI

Yuhong Guo has contributed to various publication venues with a notable number of publications in arXiv (Cornell University) and the Proceedings of the AAAI Conference on Artificial Intelligence. Other venues include the Proceedings of the IEEE, Communications Earth & Environment, and Geological Society of America Bulletin.

Recent papers authored or co-authored by Yuhong Guo exemplify the diversity and interdisciplinary nature of their research. Selected works include:

  • "Object Detection in 20 Years: A Survey" (2023), Proceedings of the IEEE
  • "Final closure of the Paleo Asian Ocean basin in the early Triassic" (2022), Communications Earth & Environment
  • "Partial Label Learning with Batch Label Correction" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Learning SVM Classifiers with Indefinite Kernels" (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Dual Adversarial Co-Learning for Multi-Domain Text Classification" (2020), Proceedings of the AAAI Conference on Artificial Intelligence

Throughout their career, Yuhong Guo has worked with various frequent co-authors, including Jieping Ye, Abdullah Alchihabi, Marzi Heidari, Zhao Zhen, and Yan Yan. Collaborations with these researchers reflect ongoing partnerships primarily within the fields of artificial intelligence and machine learning.

The volume and range of Yuhong Guo's publications indicate sustained engagement in advancing methodologies in AI, particularly in domain adaptation, classification technologies, and multimodal learning. Their interdisciplinary reach extends into geophysics and medical imaging, suggesting a wide-ranging application of machine learning techniques.

Best Publications

  • A large-scale evaluation of computational protein function prediction

    Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

  • Object Detection in 20 Years: A Survey

    Zhengxia Zou;Zhenwei Shi;Yuhong Guo;Jieping Ye

  • Discriminative Batch Mode Active Learning

    Yuhong Guo;Dale Schuurmans

  • Adaptive Active Learning for Image Classification

    Xin Li;Yuhong Guo

  • Multi-label classification using conditional dependency networks

    Yuhong Guo;Suicheng Gu

  • Optimistic active learning using mutual information

    Yuhong Guo;Russ Greiner

  • Convex subspace representation learning from multi-view data

    Yuhong Guo

  • Domain Adaptation With Neural Embedding Matching

    Zengmao Wang;Bo Du;Yuhong Guo

  • Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching

    Min Xiao;Yuhong Guo

  • Zero-Shot Classification with Discriminative Semantic Representation Learning

    Meng Ye;Yuhong Guo

  • Semi-Supervised Zero-Shot Classification with Label Representation Learning

    Xin Li;Yuhong Guo;Dale Schuurmans

  • Active Instance Sampling via Matrix Partition

    Yuhong Guo

  • Active learning with multi-label SVM classification

    Xin Li;Yuhong Guo

  • Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis

    He Zhao;Huiqi Li;Sebastian Maurer-Stroh;Yuhong Guo

  • Multi-label image classification with a probabilistic label enhancement model

    Xin Li;Feipeng Zhao;Yuhong Guo

  • MS-kNN: Protein function prediction by integrating multiple data sources

    Liang Lan;Nemanja Djuric;Yuhong Guo;Slobodan Vucetic

  • Distributed Word Representation Learning for Cross-Lingual Dependency Parsing

    Min Xiao;Yuhong Guo

  • Visual Relationship Detection With Deep Structural Ranking.

    Kongming Liang;Yuhong Guo;Hong Chang;Xilin Chen

  • Progressive Ensemble Networks for Zero-Shot Recognition

    Meng Ye;Yuhong Guo

  • Learning representations for weakly supervised natural language processing tasks

    Fei Huang;Arun Ahuja;Doug Downey;Yi Yang

  • Cross Language Text Classification via Subspace Co-Regularized Multi-View Learning

    Yuhong Guo;Min Xiao

Frequent Co-Authors

Dale Schuurmans
Dale Schuurmans University of Alberta
Jieping Ye
Jieping Ye Alibaba Group (China)
Zoran Obradovic
Zoran Obradovic Temple University
Alan C. Evans
Alan C. Evans McGill University
Russell Greiner
Russell Greiner University of Alberta
Bo Du
Bo Du Wuhan University
Jie Wu
Jie Wu Temple University
Weihong Deng
Weihong Deng Beijing University of Posts and Telecommunications
Amos Marc Bairoch
Amos Marc Bairoch Swiss Institute of Bioinformatics
Jean-Baptiste Poline
Jean-Baptiste Poline Montreal Neurological Institute and Hospital

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