World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
16183
World Ranking
2213
National Ranking
303

Overview

Jiye Liang is affiliated with Shanxi University in China and specializes in computer science, with a strong focus on artificial intelligence and related subfields. Their research portfolio encompasses areas such as advanced graph neural networks, face and expression recognition, and domain adaptation and few-shot learning.

Their scholarly output includes publications in a variety of prominent venues, including:

  • Information Sciences
  • International Journal of Machine Learning and Cybernetics
  • Pattern Recognition
  • IEEE Transactions on Knowledge and Data Engineering
  • arXiv (Cornell University)

Jiye Liang's recent research papers demonstrate a diverse interest in graph algorithms, clustering methods, and multi-modal data analysis. Selected recent works include:

  • "A community detection algorithm based on graph compression for large-scale social networks" (2020, Information Sciences)
  • "A fusion collaborative filtering method for sparse data in recommender systems" (2020, Information Sciences)
  • "Multi-view graph convolutional networks with attention mechanism" (2022, Artificial Intelligence)
  • "A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters" (2020, Information Fusion)
  • "AF: An Association-Based Fusion Method for Multi-Modal Classification" (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)

In terms of research topics, Jiye Liang's work frequently addresses:

  • Advanced Graph Neural Networks
  • Face and Expression Recognition
  • Domain Adaptation and Few-Shot Learning
  • Text and Document Classification Technologies
  • Advanced Clustering Algorithms Research
  • Rough Sets and Fuzzy Logic
  • Complex Network Analysis Techniques

Their collaborative network includes multiple frequent co-authors, reflecting a consistent interdisciplinary engagement with peers. Frequent collaborators include:

  • Fuyuan Cao
  • Liang Bai
  • Kaixuan Yao
  • Jianqing Liang
  • Xian Yang

Jiye Liang's contributions mainly fall within the broad field of computer science, with 283 publications contributing to this domain. Their subfield focus spans artificial intelligence, computer vision and pattern recognition, information systems, computational theory and mathematics, and statistical and nonlinear physics.

Best Publications

  • MGRS: A multi-granulation rough set

    Yuhua Qian;Jiye Liang;Yiyu Yao;Chuangyin Dang

  • Positive approximation: An accelerator for attribute reduction in rough set theory

    Yuhua Qian;Jiye Liang;Witold Pedrycz;Chuangyin Dang

  • Incomplete Multigranulation Rough Set

    Yuhua Qian;Jiye Liang;Chuangyin Dang

  • THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY

    Jiye Liang;Jiye Liang;Zhongzhi Shi

  • A NEW METHOD FOR MEASURING UNCERTAINTY AND FUZZINESS IN ROUGH SET THEORY

    Jiye Liang;Kwai-Sang Chin;Chuangyin Dang;Richard C. M. Yam

  • Multigranulation decision-theoretic rough sets

    Yuhua Qian;Hu Zhang;Yanli Sang;Jiye Liang

  • An efficient instance selection algorithm for k nearest neighbor regression

    Yunsheng Song;Jiye Liang;Jing Lu;Xingwang Zhao

  • Information entropy, rough entropy and knowledge granulation in incomplete information systems

    Jiye Liang;Z. Shi;Deyu Li;Mark J. Wierman

  • A Group Incremental Approach to Feature Selection Applying Rough Set Technique

    Jiye Liang;Feng Wang;Chuangyin Dang;Yuhua Qian

  • The algorithm on knowledge reduction in incomplete information systems

    Jiye Liang;Zongben Xu

  • Knowledge structure, knowledge granulation and knowledge distance in a knowledge base

    Yuhua Qian;Jiye Liang;Chuangyin Dang

  • Interval ordered information systems

    Yuhua Qian;Jiye Liang;Chuangyin Dang

  • An efficient accelerator for attribute reduction from incomplete data in rough set framework

    Yuhua Qian;Jiye Liang;Witold Pedrycz;Chuangyin Dang

  • An efficient rough feature selection algorithm with a multi-granulation view

    Jiye Liang;Feng Wang;Chuangyin Dang;Yuhua Qian

  • Set-valued ordered information systems

    Yuhua Qian;Chuangyin Dang;Jiye Liang;Dawei Tang

  • A new initialization method for categorical data clustering

    Unknown

  • Information Granularity in Fuzzy Binary GrC Model

    Yuhua Qian;Jiye Liang;Wei-zhi Z Wu;Chuangyin Dang

  • COMBINATION ENTROPY AND COMBINATION GRANULATION IN ROUGH SET THEORY

    Yuhua Qian;Jiye Liang

  • Fast density clustering strategies based on the k-means algorithm

    Liang Bai;Liang Bai;Liang Bai;Xueqi Cheng;Jiye Liang;Huawei Shen

  • A new measure of uncertainty based on knowledge granulation for rough sets

    Jiye Liang;Junhong Wang;Yuhua Qian

  • Rough Set Method Based on Multi-Granulations

    Y.H. Qian;J.Y. Liang

Frequent Co-Authors

Yuhua Qian
Yuhua Qian Shanxi University
Chuangyin Dang
Chuangyin Dang City University of Hong Kong
Yike Guo
Yike Guo Hong Kong Baptist University
Zhongzhi Shi
Zhongzhi Shi Chinese Academy of Sciences
Bing Liu
Bing Liu University of Illinois at Chicago
Qinghua Hu
Qinghua Hu Tianjin University
Witold Pedrycz
Witold Pedrycz University of Alberta
Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Wei-Zhi Wu
Wei-Zhi Wu Zhejiang Ocean University
Joshua Zhexue Huang
Joshua Zhexue Huang Shenzhen University

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