World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
20787
World Ranking
2843
National Ranking
387

Overview

Ke Tang is affiliated with the Southern University of Science and Technology in China, focusing primarily on research in computer science. Their work spans multiple subfields including artificial intelligence, computational theory and mathematics, industrial and manufacturing engineering, computer vision and pattern recognition, and information systems.

The scientist's research extensively addresses topics such as metaheuristic optimization algorithms, advanced multi-objective optimization algorithms, evolutionary algorithms and applications, adversarial robustness in machine learning, vehicle routing optimization methods, recommender systems and techniques, and advanced graph neural networks.

Ke Tang has published notable papers that contribute to these areas. Key recent publications include:

  • Transfer Learning for Drug Discovery, 2020, Journal of Medicinal Chemistry
  • Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution, 2021, IEEE Transactions on Cybernetics
  • Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem, 2020, IEEE Transactions on Cybernetics
  • High-resolution vertical distribution and sources of HONO and NO 2 in the nocturnal boundary layer in urban Beijing, China, 2020, Atmospheric chemistry and physics
  • Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses, 2021, International Journal of Automation and Computing

Frequent collaborators in their research include Shengcai Liu, Peng Yang, Xin Yao, Chao Qian, and Min Qin.

Ke Tang has contributed regularly to several publication venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Cybernetics
  • Swarm and Evolutionary Computation
  • SSRN Electronic Journal

Additionally, Ke Tang has authored work published by Springer Science+Business Media, including contributions to the book Intelligent Data Engineering and Automated Learning - IDEAL 2021.

Best Publications

  • Genetic algorithms: concepts and applications [in engineering design]

    K.F. Man;K.S. Tang;S. Kwong

  • Genetic algorithms and their applications

    K.S. Tang;K.F. Man;S. Kwong;Q. He

  • Large scale evolutionary optimization using cooperative coevolution

    Zhenyu Yang;Ke Tang;Xin Yao

  • Benchmark Functions for the CEC'2010 Special Session and Competition on Large-Scale Global Optimization

    Ke Tang;Xiaodong Li;P. N. Suganthan;Zhenyu Yang

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

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

  • Many-Objective Evolutionary Algorithms: A Survey

    Bingdong Li;Jinlong Li;Ke Tang;Xin Yao

  • A Survey on Neural Network Interpretability

    Yu Zhang;Peter Tino;Ales Leonardis;Ke Tang

  • An optimal fuzzy PID controller

    K.S. Tang;Kim Fung Man;Guanrong Chen;S. Kwong

  • Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization

    Xiaodong Li;Ke Tang;Mohammad N. Omidvar;Zhenyu Yang

  • Self-adaptive differential evolution with neighborhood search

    Zhenyu Yang;Ke Tang;Xin Yao

  • Multilevel cooperative coevolution for large scale optimization

    Zhenyu Yang;Ke Tang;Xin Yao

  • A Survey on Cooperative Co-Evolutionary Algorithms

    Xiaoliang Ma;Xiaodong Li;Qingfu Zhang;Ke Tang

  • Large-scale global optimization using cooperative coevolution with variable interaction learning

    Wenxiang Chen;Thomas Weise;Zhenyu Yang;Ke Tang

  • Differential evolution for high-dimensional function optimization

    Zhenyu Yang;Ke Tang;Xin Yao

  • Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators

    Bingdong Li;Ke Tang;Jinlong Li;Xin Yao

  • Population-Based Algorithm Portfolios for Numerical Optimization

    Fei Peng;Ke Tang;Guoliang Chen;Xin Yao

  • Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem

    Yi Mei;Ke Tang;Xin Yao

  • Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems

    Ke Tang;Yi Mei;Xin Yao

  • Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution.

    Zhi-Zhong Liu;Bing-Chuan Wang;Ke Tang

  • Online Ensemble Learning of Data Streams with Gradually Evolved Classes

    Yu Sun;Ke Tang;Leandro L. Minku;Shuo Wang

  • Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification

    Minlong Lin;Ke Tang;Xin Yao

  • Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem

    Liang Feng;Yuxiao Huang;Lei Zhou;Jinghui Zhong

Frequent Co-Authors

Xin Yao
Xin Yao Lingnan University
Yang Yu
Yang Yu Nanjing University
Yi Mei
Yi Mei Victoria University of Wellington
Tianshi Chen
Tianshi Chen Chinese Academy of Sciences
Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Bernhard Sendhoff
Bernhard Sendhoff Honda (Germany)
A. K. Qin
A. K. Qin Swinburne University of Technology
Yaochu Jin
Yaochu Jin Westlake University
Xiaodong Li
Xiaodong Li University of Virginia
Zexuan Zhu
Zexuan Zhu Shenzhen University

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 online offers flexibility and accessibility for diverse learners. Many students are looking for the cheapest online college options to keep education affordable. Selecting an accredited, cost-effective program lets you enhance your skills without incurring heavy debt.

If your academic record isn’t perfect, consider online schools that accept low gpa. These schools help students who may need a second chance to build a successful career in technology fields.

An online degree can also open doors to related fields. For those interested in combining technology and sustainability, explore what you can achieve with an environmental science degree. This pathway can lead to growing roles that blend data analysis, programming, and environmental impact.

If you want to accelerate your entry into the tech workforce, a 2-year computer science degree online can fast-track your studies. Shorter programs let you gain practical skills quickly and start your career sooner.

Best Scientists Citing Ke Tang

Trending Scientists

Recently Published Articles