World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
8962
World Ranking
9151
National Ranking
1169

Overview

William Zhu is affiliated with the University of Electronic Science and Technology of China in China. Their research primarily focuses on computer science, with extensive work in artificial intelligence and computer vision and pattern recognition.

The scientist has contributed to various interdisciplinary subfields, including computational theory and mathematics, electrical and electronic engineering, and information systems. Their main topics of work cover:

  • Reinforcement Learning in Robotics
  • Face and Expression Recognition
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Adaptive Dynamic Programming Control
  • Topic Modeling

William Zhu's publications appear frequently in several academic venues. Notable journals where they have multiple contributions include:

  • International Journal of Machine Learning and Cybernetics
  • IEEE Transactions on Computational Social Systems
  • Information Sciences
  • Applied Intelligence
  • Knowledge-Based Systems

Their recent papers span topics such as optimization algorithms, fake news detection in low-resource languages, and deep graph node clustering. Representative examples include:

  • "An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection," 2021, Expert Systems with Applications
  • "Optimal Sink Node Placement in Large Scale Wireless Sensor Networks Based on Harris' Hawk Optimization Algorithm," 2020, IEEE Access
  • "Combating Fake News in 'Low-Resource' Languages: Amharic Fake News Detection Accompanied by Resource Crafting," 2021, Information
  • "An Overview of Advanced Deep Graph Node Clustering," 2023, IEEE Transactions on Computational Social Systems
  • "Multi-view fuzzy clustering of deep random walk and sparse low-rank embedding," 2021, Information Sciences

Collaboration is evident through their frequent co-authorship with other researchers in related fields. Key collaborators include:

  • Shiping Wang
  • Tianyi Huang
  • Xianchao Zhu
  • Zhiling Cai
  • Ruijia Li

Best Publications

  • Reduction and axiomization of covering generalized rough sets

    William Zhu;Fei-Yue Wang

  • Topological approaches to covering rough sets

    William Zhu

  • On Three Types of Covering-Based Rough Sets

    William Zhu;Fei-Yue Wang

  • Relationship between generalized rough sets based on binary relation and covering

    William Zhu

  • Generalized rough sets based on relations

    William Zhu;William Zhu

  • Test-cost-sensitive attribute reduction

    Fan Min;Huaping He;Yuhua Qian;William Zhu

  • Relationship among basic concepts in covering-based rough sets

    William Zhu

  • A Self-Adaptive Parameter Selection Trajectory Prediction Approach via Hidden Markov Models

    Shaojie Qiao;Dayong Shen;Xiaoteng Wang;Nan Han

  • The algebraic structures of generalized rough set theory

    Guilong Liu;William Zhu

  • Feature selection with test cost constraint

    Fan Min;Qinghua Hu;William Zhu

  • Subspace learning for unsupervised feature selection via matrix factorization

    Shiping Wang;Witold Pedrycz;Qingxin Zhu;William Zhu

  • An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection

    Kashif Hussain;Nabil Neggaz;William Zhu;Essam H. Houssein

  • Attribute reduction of data with error ranges and test costs

    Fan Min;William Zhu

  • A New Type of Covering Rough Set

    W. Zhu;Fei-Yue Wang

  • Multi-label feature selection via feature manifold learning and sparsity regularization

    Zhiling Cai;Zhiling Cai;William Zhu

  • The fourth type of covering-based rough sets

    William Zhu;Fei-Yue Wang

  • Relationships among three types of covering rough sets

    W. Zhu;Fei-Yue Wang

  • A survey of software watermarking

    William Zhu;Clark Thomborson;Fei-Yue Wang

  • Optimal Sink Node Placement in Large Scale Wireless Sensor Networks Based on Harris’ Hawk Optimization Algorithm

    Essam H. Houssein;Mohammed R. Saad;Kashif Hussain;William Zhu

  • Sparse Graph Embedding Unsupervised Feature Selection

    Shiping Wang;William Zhu

  • Properties of the Fourth Type of Covering-Based Rough Sets

    W. Zhu;Fei-Yue Wang

  • On three types of covering-based rough sets via definable sets

    Yanfang Liu;William Zhu

Frequent Co-Authors

Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Witold Pedrycz
Witold Pedrycz University of Alberta
Qinghua Hu
Qinghua Hu Tianjin University
Essam H. Houssein
Essam H. Houssein Minia University
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Tao Tang
Tao Tang Beijing Jiaotong University
Jianming Zhan
Jianming Zhan Hubei University for Nationalities
Hussein T. Mouftah
Hussein T. Mouftah University of Ottawa
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University

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