World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
126
Citations
78779
World Ranking
111
National Ranking
13

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2007 - Member of the National Academy of Engineering For contributions to the science and engineering innovations for electroceramics.

Overview

Xin Yao is affiliated with Lingnan University in China and works extensively in the fields of Computer Science and Engineering. Their research encompasses several subfields including Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition.

The scientist has contributed to the study and development of various topics, notably:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Vehicle Routing Optimization Methods
  • Optimization and Packing Problems
  • Adversarial Robustness in Machine Learning
  • Reinforcement Learning in Robotics

Several frequent coauthors have collaborated with Xin Yao throughout their career, including Leandro L. Minku, Stefan Menzel, Jialin Liu, Bernhard Sendhoff, and Siang Yew Chong.

Publication outlets where Xin Yao has published prolifically include:

  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • IEEE Computational Intelligence Magazine
  • IEEE Transactions on Cybernetics
  • SSRN Electronic Journal

Xin Yao has authored influential papers such as:

  • "An Overview of Artificial Intelligence Ethics" (2022) published in IEEE Transactions on Artificial Intelligence
  • "What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation" (2020) published in Evolutionary Computation
  • "Evolutionary Dynamic Multi-objective Optimisation: A Survey" (2022) published in ACM Computing Surveys
  • "Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers" (2020) published in IEEE Transactions on Evolutionary Computation
  • "A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades-Part B" (2021) published in IEEE Transactions on Evolutionary Computation

In addition to journal publications, Xin Yao has contributed to book literature, including a forthcoming work titled Coevolutionary Computation and Its Applications to be published by Springer Science+Business Media in 2025.

The scientist was recognized as a Member of the National Academy of Engineering in 2007, specifically cited for contributions to science and engineering innovations related to electroceramics.

Best Publications

  • Evolutionary programming made faster

    Xin Yao;Yong Liu;Guangming Lin

  • Evolving artificial neural networks

    Xin Yao

  • Stochastic ranking for constrained evolutionary optimization

    T.P. Runarsson;Xin Yao

  • A Survey on Evolutionary Computation Approaches to Feature Selection

    Bing Xue;Mengjie Zhang;Will N. Browne;Xin Yao

  • Parallel Problem Solving from Nature - PPSN VIII

    Xin Yao;Edmund K. Burke;José A. Lozano;Jim Smith

  • Diversity creation methods: a survey and categorisation

    Gavin Brown;Jeremy L. Wyatt;Rachel Harris;Xin Yao

  • A new evolutionary system for evolving artificial neural networks

    X. Yao;Y. Liu

  • Large scale evolutionary optimization using cooperative coevolution

    Zhenyu Yang;Ke Tang;Xin Yao

  • MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning

    Sukarna Barua;Monirul Islam;Xin Yao;Kazuyuki Murase

  • A review of evolutionary artificial neural networks

    Xin Yao

  • Benchmark Functions for the CEC'2008 Special Session and Competition on Large Scale Global Optimization

    K. Tang;X. Yao;P. N. Suganthan;C. MacNish

  • Ensemble learning via negative correlation

    Y. Liu;X. Yao

  • Many-Objective Evolutionary Algorithms: A Survey

    Bingdong Li;Jinlong Li;Ke Tang;Xin Yao

  • Cooperatively Coevolving Particle Swarms for Large Scale Optimization

    Xiaodong Li;Xin Yao

  • Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization

    Mohammad Nabi Omidvar;Xiaodong Li;Yi Mei;Xin Yao

  • A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization

    Yuan Yuan;Hua Xu;Bo Wang;Xin Yao

  • Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization

    Ke Li;Renzhi Chen;Guangtao Fu;Xin Yao

  • Multiclass Imbalance Problems: Analysis and Potential Solutions

    Shuo Wang;Xin Yao

  • Promises and challenges of evolvable hardware

    X. Yao;T. Higuchi

  • Evolutionary programming using mutations based on the Levy probability distribution

    Chang-Yong Lee;Xin Yao

  • Search biases in constrained evolutionary optimization

    T.P. Runarsson;Xin Yao

  • Parallel Problem Solving from Nature PPSN VI

    Marc Schoenauer;Kalyanmoy Deb;Günther Rudolph;Xin Yao

Frequent Co-Authors

Ke Tang
Ke Tang Southern University of Science and Technology
Leandro L. Minku
Leandro L. Minku University of Birmingham
Bernhard Sendhoff
Bernhard Sendhoff Honda (Germany)
Yaochu Jin
Yaochu Jin Westlake University
Miqing Li
Miqing Li University of Birmingham
Xiaodong Li
Xiaodong Li University of Virginia
Peter Tino
Peter Tino University of Birmingham
Shengxiang Yang
Shengxiang Yang De Montfort University
Yi Mei
Yi Mei Victoria University of Wellington
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design

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