World's Best Scientists 2026 revealed!
Xi-Zhao Wang

Xi-Zhao Wang

D-Index & Metrics

Computer Science

D-Index
63
Citations
13750
World Ranking
2790
National Ranking
379

Overview

Xi-Zhao Wang is affiliated with Tsinghua University in China and has contributed extensively to the fields of computer science and engineering. Their research spans multiple subfields, including artificial intelligence, computer vision and pattern recognition, computational theory and mathematics, molecular biology, and civil and structural engineering.

Their publication record reflects a focus on several main topics, notably domain adaptation and few-shot learning, machine learning and extreme learning machines (ELM), rough sets and fuzzy logic, imbalanced data classification techniques, neural networks and applications, face and expression recognition, and anomaly detection techniques and applications.

Frequent co-authors in Wang's research include Ran Wang, Xinlei Zhou, Farhad Pourpanah, Weipeng Cao, and Zhiyong Wu.

Some of the recent papers authored or co-authored by Xi-Zhao Wang are:

  • "A Review of Generalized Zero-Shot Learning Methods" (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Recent advances in deep learning" (2020), published in International Journal of Machine Learning and Cybernetics
  • "A broad review on class imbalance learning techniques" (2023), published in Applied Soft Computing
  • "A review of artificial fish swarm algorithms: recent advances and applications" (2022), published in Artificial Intelligence Review
  • "Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data" (2022), published in IEEE Transactions on Neural Networks and Learning Systems

Wang's work has been published frequently in venues such as Information Sciences, SSRN Electronic Journal, Neurocomputing, Knowledge-Based Systems, and arXiv (Cornell University), illustrating a broad engagement across reputable journals and preprint archives.

Best Publications

  • The parameterization reduction of soft sets and its applications

    Degang Chen;E. C. C. Tsang;Daniel S. Yeung;Xizhao Wang

  • Fuzziness based semi-supervised learning approach for intrusion detection system

    Rana Aamir Raza Ashfaq;Xi-Zhao Wang;Joshua Zhexue Huang;Haider Abbas

  • On the generalization of fuzzy rough sets

    D.S. Yeung;Degang Chen;E.C.C. Tsang;J.W.T. Lee

  • A review on neural networks with random weights

    Weipeng Cao;Xizhao Wang;Zhong Ming;Jinzhu Gao

  • Improving fuzzy c -means clustering based on feature-weight learning

    Xizhao Wang;Yadong Wang;Lijuan Wang

  • Attributes Reduction Using Fuzzy Rough Sets

    E.C.C. Tsang;Degang Chen;D.S. Yeung;Xi-Zhao Wang

  • Recent advances in deep learning

    Xizhao Wang;Yanxia Zhao;Farhad Pourpanah

  • A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning

    Xi-Zhao Wang;Hong-Jie Xing;Yan Li;Qiang Hua

  • Feature Selection Based on Neighborhood Discrimination Index

    Changzhong Wang;Qinghua Hu;Xizhao Wang;Degang Chen

  • Learning fuzzy rules from fuzzy samples based on rough set technique

    Xizhao Wang;Eric C. C. Tsang;Suyun Zhao;Degang Chen

  • Improving Generalization of Fuzzy IF--THEN Rules by Maximizing Fuzzy Entropy

    Xi-Zhao Wang;Chun-Ru Dong

  • Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network

    D.S. Yeung;W.W.Y. Ng;Defeng Wang;E.C.C. Tsang

  • On the optimization of fuzzy decision trees

    Xizhao Wang;Bin Chen;Guoliang Qian;Feng Ye

  • A comparative study on heuristic algorithms for generating fuzzy decision trees

    X.-Z. Wang;D.S. Yeung;E.C.C. Tsang

  • Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction

    Xi-Zhao Wang;Ling-Cai Dong;Jian-Hui Yan

  • Induction of multiple fuzzy decision trees based on rough set technique

    Xi-Zhao Wang;Jun-Hai Zhai;Shu-Xia Lu

  • Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things

    Laizhong Cui;Chong Xu;Shu Yang;Joshua Zhexue Huang

  • Fuzziness based sample categorization for classifier performance improvement

    Xi-Zhao Wang;Rana Aamir Raza Ashfaq;Ai-Min Fu

  • Intuitionistic Fuzzy Twin Support Vector Machines

    Salim Rezvani;Xizhao Wang;Farhad Pourpanah

  • Upper integral network with extreme learning mechanism

    Xizhao Wang;Aixia Chen;Huimin Feng

  • OWA operator based link prediction ensemble for social network

    Yu-lin He;James N.K. Liu;Yan-xing Hu;Xi-zhao Wang

  • A Review of Generalized Zero-Shot Learning Methods.

    Farhad Pourpanah;Moloud Abdar;Yuxuan Luo;Xinlei Zhou

Frequent Co-Authors

Degang Chen
Degang Chen North China Electric Power University
Joshua Zhexue Huang
Joshua Zhexue Huang Shenzhen University
Witold Pedrycz
Witold Pedrycz University of Alberta
Sam Kwong
Sam Kwong Lingnan University
Chee Peng Lim
Chee Peng Lim Swinburne University of Technology
Wei-Zhi Wu
Wei-Zhi Wu Zhejiang Ocean University
Jianqiang Li
Jianqiang Li Beijing University of Technology
Haoran Xie
Haoran Xie Lingnan University
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Loi Lei Lai
Loi Lei Lai Guangdong University of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree in the USA opens doors to a wide variety of career options and related fields. Many students also explore online programs that offer convenient, flexible, and often affordable pathways into technology and engineering industries.

For those interested in applying computer science knowledge to real-world applications, consider an affordable cheapest online mechanical engineering degree or a online master’s in electrical engineering degree. These programs can help you build strong foundations in problem-solving and design across multiple sectors.

Interested in analytics and Big Data? An affordable data science degree prepares students for roles in tech, healthcare, finance, and beyond. For those passionate about understanding fundamental principles, a physics degree online offers a comprehensive look at scientific and analytical thinking.

Exploring these degrees can help you identify new career pathways or specializations connected to your Computer Science studies, expanding your skills and employment opportunities in today’s digital workforce.

Best Scientists Citing Xi-Zhao Wang

Trending Scientists

Recently Published Articles