World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7032
World Ranking
6929
National Ranking
929

Overview

Xibei Yang is affiliated with Jiangsu University of Science and Technology in China and conducts research primarily in the field of computer science. Their work spans multiple subfields, including artificial intelligence, computational theory and mathematics, information systems, computer vision and pattern recognition, and molecular biology.

The scientist's main areas of focus cover a range of topics such as rough sets and fuzzy logic, text and document classification technologies, data mining algorithms and applications, advanced graph neural networks, machine learning and data classification, data management and algorithms, and imbalanced data classification techniques.

Xibei Yang has published extensively in various scientific venues. The most frequent publication venues include:

  • Information Sciences
  • International Journal of Machine Learning and Cybernetics
  • Applied Soft Computing
  • International Journal of Approximate Reasoning
  • Applied Intelligence

Some recent papers authored or coauthored by Xibei Yang are:

  • "Attribute group for attribute reduction," 2020, Information Sciences
  • "Accelerator for supervised neighborhood based attribute reduction," 2020, International Journal of Approximate Reasoning
  • "Supervised information granulation strategy for attribute reduction," 2020, International Journal of Machine Learning and Cybernetics
  • "Granular ball guided selector for attribute reduction," 2021, Knowledge-Based Systems
  • "Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations," 2020, Information Sciences

Collaborations form an important aspect of Xibei Yang's research. Frequent coauthors include:

  • Keyu Liu
  • Hengrong Ju
  • Pingxin Wang
  • Hualong Yu
  • Taihua Xu

Best Publications

  • Combination of interval-valued fuzzy set and soft set

    Xibei Yang;Tsau Young Lin;Jingyu Yang;Yan Li

  • Dominance-based rough set approach and knowledge reductions in incomplete ordered information system

    Xibei Yang;Jingyu Yang;Chen Wu;Dongjun Yu

  • Dominance-based rough set approach to incomplete interval-valued information system

    Xibei Yang;Dongjun Yu;Jingyu Yang;Lihua Wei

  • A comparative study of multigranulation rough sets and concept lattices via rule acquisition

    Jinhai Li;Yue Ren;Changlin Mei;Yuhua Qian

  • Test cost sensitive multigranulation rough set: Model and minimal cost selection

    Xibei Yang;Xibei Yang;Yunsong Qi;Xiaoning Song;Xiaoning Song;Jingyu Yang

  • Multi-label learning with label-specific feature reduction

    Suping Xu;Xibei Yang;Hualong Yu;Dong-Jun Yu

  • Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

    Hualong Yu;Xibei Yang;Shang Zheng;Changyin Sun

  • Neighborhood systems-based rough sets in incomplete information system

    Xibei Yang;Ming Zhang;Huili Dou;Jingyu Yang

  • Pseudo-label neighborhood rough set: Measures and attribute reductions

    Xibei Yang;Xibei Yang;Shaochen Liang;Hualong Yu;Shang Gao

  • Updating multigranulation rough approximations with increasing of granular structures

    Xibei Yang;Yong Qi;Hualong Yu;Xiaoning Song

  • Generalization of Soft Set Theory: From Crisp to Fuzzy Case

    Xibei Yang;Dongjun Yu;Jingyu Yang;Chen Wu;Chen Wu

  • Rough set based semi-supervised feature selection via ensemble selector

    Keyu Liu;Xibei Yang;Hualong Yu;Jusheng Mi

  • On multigranulation rough sets in incomplete information system

    Xibei Yang;Xiaoning Song;Zehua Chen;Jingyu Yang

  • Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data

    Hualong Yu;Chaoxu Mu;Changyin Sun;Wankou Yang

  • An efficient selector for multi-granularity attribute reduction

    Keyu Liu;Xibei Yang;Hamido Fujita;Dun Liu

  • Attribute group for attribute reduction

    Yan Chen;Keyu Liu;Jingjing Song;Hamido Fujita;Hamido Fujita;Hamido Fujita

  • Constructive and axiomatic approaches to hesitant fuzzy rough set

    Xibei Yang;Xiaoning Song;Yunsong Qi;Jingyu Yang

  • Multi-granulation rough set: from crisp to fuzzy case

    Xi-Bei Yang;Xiaoning Song;Huili Dou;Jingyu Yang

  • Three-way k-means: integrating k-means and three-way decision

    Pingxin Wang;Pingxin Wang;Hong Shi;Xibei Yang;Jusheng Mi

  • Ensemble selector for attribute reduction

    Xibei Yang;Xibei Yang;Yiyu Yao

  • Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs

    Jun Hu;Yang Li;Ming Zhang;Xibei Yang

  • α-Dominance relation and rough sets in interval-valued information systems

    Xibei Yang;Yong Qi;Dong-Jun Yu;Hualong Yu

Frequent Co-Authors

Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Dong-Jun Yu
Dong-Jun Yu Nanjing University of Science and Technology
Yuhua Qian
Yuhua Qian Shanxi University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Dun Liu
Dun Liu Southwest Jiaotong University
Xiaojun Wu
Xiaojun Wu University of Science and Technology of China
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University
Changyin Sun
Changyin Sun Southeast University
Xiaohua Hu
Xiaohua Hu Drexel University
Yiyu Yao
Yiyu Yao University of Regina

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