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Yuan-Hai Shao

Yuan-Hai Shao

D-Index & Metrics

Computer Science

D-Index
35
Citations
4982
World Ranking
11735
National Ranking
1452

Overview

Yuan-Hai Shao is affiliated with Hainan University in China, with a research focus primarily in the fields of Computer Science and Engineering. Their work has notably contributed to subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, and Control and Systems Engineering.

Their research spans several main topics, including:

  • Face and Expression Recognition
  • Sparse and Compressive Sensing Techniques
  • Machine Learning and ELM
  • Anomaly Detection Techniques and Applications
  • Blind Source Separation Techniques
  • Advanced Algorithms and Applications
  • Remote-Sensing Image Classification

Yuan-Hai Shao's recent academic contributions include:

  • Comprehensive review on twin support vector machines, 2022, published in Annals of Operations Research
  • Support Vector Machine Classifier via Soft-Margin Loss, 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Smooth pinball loss nonparallel support vector machine for robust classification, 2020, published in Applied Soft Computing
  • Fast generalized ramp loss support vector machine for pattern classification, 2023, published in Pattern Recognition
  • Robust support vector regression with generic quadratic nonconvex ε-insensitive loss, 2020, published in Applied Mathematical Modelling

The venues in which Yuan-Hai Shao frequently publishes reflect their research relevance, including:

  • arXiv (Cornell University)
  • Applied Soft Computing
  • Information Sciences
  • IEEE Access
  • Pattern Recognition

Collaboration forms an integral part of Yuan-Hai Shao's work, with frequent coauthors including:

  • Chun-Na Li
  • Wei-Jie Chen
  • Lan Bai
  • Zhen Wang
  • Yanru Guo

Best Publications

  • Improvements on Twin Support Vector Machines

    Yuan-Hai Shao;Chun-Hua Zhang;Xiao-Bo Wang;Nai-Yang Deng

  • Comprehensive Review On Twin Support Vector Machines

    Mohammad Tanveer;T. Rajani;Reshma Rastogi;Yuan-Hai Shao

  • Nonparallel hyperplane support vector machine for binary classification problems

    Yuan-Hai Shao;Wei-Jie Chen;Nai-Yang Deng

  • An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

    Yuan-Hai Shao;Wei-Jie Chen;Jing-Jing Zhang;Zhen Wang

  • Least squares recursive projection twin support vector machine for classification

    Yuan-Hai Shao;Nai-Yang Deng;Zhi-Min Yang

  • MLTSVM: A novel twin support vector machine to multi-label learning

    Wei-Jie Chen;Yuan-Hai Shao;Chun-Na Li;Nai-Yang Deng

  • An ε-twin support vector machine for regression

    Yuan-Hai Shao;Chun-Hua Zhang;Zhi-Min Yang;Ling Jing

  • Support Vector Machine Classifier via $L_{0/1}$ Soft-Margin Loss

    Huajun Wang;Yuanhai Shao;Shenglong Zhou;Ce Zhang

  • Twin Support Vector Machine for Clustering

    Zhen Wang;Yuan-Hai Shao;Lan Bai;Nai-Yang Deng

  • A regularization for the projection twin support vector machine

    Yuan-Hai Shao;Zhen Wang;Wei-Jie Chen;Nai-Yang Deng

  • A coordinate descent margin based-twin support vector machine for classification

    Yuan-Hai Shao;Nai-Yang Deng

  • Robust L1-norm two-dimensional linear discriminant analysis

    Chun-Na Li;Yuan-Hai Shao;Nai-Yang Deng

  • Weighted linear loss twin support vector machine for large-scale classification

    Yuan-Hai Shao;Wei-Jie Chen;Zhen Wang;Chun-Na Li

  • Multiple birth support vector machine for multi-class classification

    Zhi-Xia Yang;Yuan-Hai Shao;Xiang-Sun Zhang

  • Laplacian smooth twin support vector machine for semi-supervised classification

    Wei-Jie Chen;Yuan-Hai Shao;Ning Hong

  • Improved Generalized Eigenvalue Proximal Support Vector Machine

    Yuan-Hai Shao;Nai-Yang Deng;Wei-Jie Chen;Zhen Wang

  • A GA-based model selection for smooth twin parametric-margin support vector machine

    Zhen Wang;Yuan-Hai Shao;Tie-Ru Wu

  • Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

    Chun-Na Li;Yuan-Hai Shao;Wotao Yin;Ming-Zeng Liu

  • Robust L1-norm non-parallel proximal support vector machine

    Chun-Na Li;Yuan-Hai Shao;Nai-Yang Deng

  • Laplacian least squares twin support vector machine for semi-supervised classification

    Wei-Jie Chen;Yuan-Hai Shao;Nai-Yang Deng;Zhi-Lin Feng

  • Probabilistic outputs for twin support vector machines

    Yuan-Hai Shao;Nai-Yang Deng;Zhi-Min Yang;Wei-Jie Chen

Frequent Co-Authors

Nai-Yang Deng
Nai-Yang Deng China Agricultural University
Wotao Yin
Wotao Yin Alibaba Group (China)
Yingjie Tian
Yingjie Tian University of Chinese Academy of Sciences

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