World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
18142
World Ranking
1887
National Ranking
261

Overview

Guoyin Wang is affiliated with Chongqing University of Posts and Telecommunications in China. Their research primarily focuses on the field of Computer Science, with a significant emphasis on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Information Systems, and Signal Processing.

The scientist has contributed extensively to topics including Rough Sets and Fuzzy Logic, Advanced Graph Neural Networks, Topic Modeling, Natural Language Processing Techniques, Data Mining Algorithms and Applications, Text and Document Classification Technologies, and Anomaly Detection Techniques and Applications.

Guoyin Wang's recent scholarly papers include the following:

  • GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification, 2020, published in IEEE Transactions on Knowledge and Data Engineering
  • Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks, 2020, published in IEEE Transactions on Mobile Computing
  • A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction, 2020, published in IEEE Transactions on Knowledge and Data Engineering
  • Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing, 2021, published in IEEE Transactions on Mobile Computing
  • RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise, 2020, published in Information Sciences

The frequent co-authors collaborating with Guoyin Wang include:

  • Shuyin Xia
  • Qinghua Zhang
  • Qun Liu
  • Xinbo Gao
  • Hong Yu

Guoyin Wang has published frequently in several venues, among the most common are:

  • arXiv (Cornell University)
  • Information Sciences
  • Knowledge-Based Systems
  • SSRN Electronic Journal
  • IEEE Transactions on Neural Networks and Learning Systems

The scientist has contributed to scholarly literature beyond journal articles by authoring a book titled Big Data, published in 2022 by Springer Science+Business Media.

Best Publications

  • Rough sets, fuzzy sets, data mining and granular computing

    Sergei O. Kuznetsov;Dominik Ślęzak;Daryl H. Hepting;Boris G. Mirkin

  • Erratum to “Experimental Analyses of the Major Parameters Affecting the Intensity of Outbursts of Coal and Gas”

    W. Nie;S. J. Peng;J. Xu;L. R. Liu

  • Joint Embedding of Words and Labels for Text Classification

    Guoyin Wang;Chunyuan Li;Wenlin Wang;Yizhe Zhang

  • Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

    Dinghan Shen;Guoyin Wang;Wenlin Wang;Martin Renqiang Min

  • Decision Table Reduction based on Conditional Information Entropy

    Unknown

  • Generic normal cloud model

    Guoyin Wang;Guoyin Wang;Changlin Xu;Changlin Xu;Deyi Li

  • Pixel Convolutional Neural Network for Multi-Focus Image Fusion

    Han Tang;Bin Xiao;Weisheng Li;Guoyin Wang

  • Extension of rough set under incomplete information systems

    Guoyin Wang

  • A survey on rough set theory and its applications

    Qinghua Zhang;Qin Xie;Guoyin Wang

  • An automatic method to determine the number of clusters using decision-theoretic rough set

    Hong Yu;Zhanguo Liu;Guoyin Wang

  • A tree-based incremental overlapping clustering method using the three-way decision theory

    Hong Yu;Cong Zhang;Guoyin Wang

  • Granular ball computing classifiers for efficient, scalable and robust learning

    Shuyin Xia;Yunsheng Liu;Xin Ding;Guoyin Wang

  • GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification

    Shuyin Xia;Zhao Zhang;Wenhua Li;Guoyin Wang

  • Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks

    Yun Li;Hui Ma;Lei Wang;Shiwen Mao

  • A Decision-Theoretic Rough Set Approach for Dynamic Data Mining

    Hongmei Chen;Tianrui Li;Chuan Luo;Shi-Jinn Horng

  • Rough reduction in algebra view and information view

    Guoyin Wang

  • Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing

    Zhaolong Ning;Yuxuan Yang;Xiaojie Wang;Lei Guo

  • A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction

    Di Wu;Xin Luo;Mingsheng Shang;Yi He

  • An active three-way clustering method via low-rank matrices for multi-view data

    Hong Yu;Xincheng Wang;Guoyin Wang;Xianhua Zeng

  • Granular computing: from granularity optimization to multi-granularity joint problem solving

    Guoyin Wang;Guoyin Wang;Jie Yang;Ji Xu

  • A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems

    Di Wu;Xin Luo;Mingsheng Shang;Yi He

  • A Comparative Study of Algebra Viewpoint and Information Viewpoint in Attribute Reduction

    Guoyin Y. Wang;Jun Zhao;Jiujiang An;Yu Wu

  • A Survey on Rough Set Theory and Applications: A Survey on Rough Set Theory and Applications

    Guo-Yin Wang;Yi-Yu Yao;Hong Yu

Frequent Co-Authors

Lawrence Carin
Lawrence Carin Duke University
Zhe Gan
Zhe Gan Microsoft (United States)
Liqun Chen
Liqun Chen University of Surrey
Chunyuan Li
Chunyuan Li Microsoft (United States)
Michael H. Bergin
Michael H. Bergin Duke University

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