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:
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:
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.
K.F. Man;K.S. Tang;S. Kwong
K.S. Tang;K.F. Man;S. Kwong;Q. He
Zhenyu Yang;Ke Tang;Xin Yao
Ke Tang;Xiaodong Li;P. N. Suganthan;Zhenyu Yang
K. Tang;X. Yao;P. N. Suganthan;C. MacNish
Bingdong Li;Jinlong Li;Ke Tang;Xin Yao
Yu Zhang;Peter Tino;Ales Leonardis;Ke Tang
K.S. Tang;Kim Fung Man;Guanrong Chen;S. Kwong
Xiaodong Li;Ke Tang;Mohammad N. Omidvar;Zhenyu Yang
Zhenyu Yang;Ke Tang;Xin Yao
Zhenyu Yang;Ke Tang;Xin Yao
Xiaoliang Ma;Xiaodong Li;Qingfu Zhang;Ke Tang
Wenxiang Chen;Thomas Weise;Zhenyu Yang;Ke Tang
Zhenyu Yang;Ke Tang;Xin Yao
Bingdong Li;Ke Tang;Jinlong Li;Xin Yao
Fei Peng;Ke Tang;Guoliang Chen;Xin Yao
Yi Mei;Ke Tang;Xin Yao
Ke Tang;Yi Mei;Xin Yao
Zhi-Zhong Liu;Bing-Chuan Wang;Ke Tang
Yu Sun;Ke Tang;Leandro L. Minku;Shuo Wang
Minlong Lin;Ke Tang;Xin Yao
Liang Feng;Yuxiao Huang;Lei Zhou;Jinghui Zhong
If you think any of the details on this page are incorrect, let us know.
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.
National Institute for Materials Science
University of Alberta
Keio University
University of York
University of Bristol
University of Sydney
Karolinska Institute
University of Waterloo
Delft University of Technology
Paul Sabatier University
University Hospital Heidelberg
Aarhus University Hospital
University of Calgary
Indiana University
Oregon State University
University of Canterbury