World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
26942
World Ranking
1018
National Ranking
18

Overview

Yew-Soon Ong is affiliated with Nanyang Technological University in Singapore and specializes in computer science with a particular focus on artificial intelligence. Their body of work includes contributions across several subfields such as computer vision and pattern recognition, computational theory and mathematics, information systems, and management science and operations research.

The main research topics covered by Yew-Soon Ong consist of advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, evolutionary algorithms and applications, recommender systems and techniques, domain adaptation and few-shot learning, Gaussian processes and Bayesian inference, and topic modeling.

Recent papers authored under their guidance or collaboration include the following:

  • When Gaussian Process Meets Big Data: A Review of Scalable GPs (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • CAN-PINN: A fast physics-informed neural network based on coupled-automatic-numerical differentiation method (2022), published in Computer Methods in Applied Mechanics and Engineering
  • Adhesive Biocomposite Electrodes on Sweaty Skin for Long-Term Continuous Electrophysiological Monitoring (2020), published in ACS Materials Letters
  • Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II (2020), published in IEEE Transactions on Cybernetics
  • Deep learning for fabrication and maturation of 3D bioprinted tissues and organs (2020), published in Virtual and Physical Prototyping

Yew-Soon Ong frequently collaborates with several co-authors, including Abhishek Gupta, Zhu Sun, Kay Chen Tan, Liang Feng, and Tiantian He, demonstrating a consistent pattern of joint research efforts.

Their publications are commonly found in venues such as arXiv (Cornell University), IEEE Computational Intelligence Magazine, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Evolutionary Computation.

In addition to journal articles, Yew-Soon Ong has contributed to book literature. Notably, they have published a work with Springer Nature titled Evolutionary Multi-Task Optimization (2023).

Best Publications

  • Multifactorial Evolution: Toward Evolutionary Multitasking

    Abhishek Gupta;Yew-Soon Ong;Liang Feng

  • When Gaussian Process Meets Big Data: A Review of Scalable GPs

    Haitao Liu;Yew-Soon Ong;Xiaobo Shen;Jianfei Cai

  • Meta-Lamarckian learning in memetic algorithms

    Yew Soon Ong;A.J. Keane

  • Classification of adaptive memetic algorithms: a comparative study

    Yew-Soon Ong;Meng-Hiot Lim;Ning Zhu;Kok-Wai Wong

  • Extreme Learning Machine

    Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

  • A Multi-Facet Survey on Memetic Computation

    Xianshun Chen;Yew-Soon Ong;Meng-Hiot Lim;Kay Chen Tan

  • Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework

    Zexuan Zhu;Yew-Soon Ong;M. Dash

  • Advances in Natural Computation

    Lipo Wang;Ke Chen;Yew Soon Ong

  • Generalizing Surrogate-Assisted Evolutionary Computation

    Dudy Lim;Yaochu Jin;Yew-Soon Ong;Bernhard Sendhoff

  • Markov blanket-embedded genetic algorithm for gene selection

    Zexuan Zhu;Yew-Soon Ong;Manoranjan Dash

  • Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization

    Zongzhao Zhou;Yew Soon Ong;P.B. Nair;A.J. Keane

  • A fast pruned-extreme learning machine for classification problem

    Hai-Jun Rong;Yew-Soon Ong;Ah-Hwee Tan;Zexuan Zhu

  • A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design

    Haitao Liu;Yew-Soon Ong;Jianfei Cai

  • Multiobjective Multifactorial Optimization in Evolutionary Multitasking

    Abhishek Gupta;Yew-Soon Ong;Liang Feng;Kay Chen Tan

  • Memetic Computation—Past, Present & Future [Research Frontier]

    Yew-Soon Ong;Meng Lim;Xianshun Chen

  • Evolutionary Multitasking via Explicit Autoencoding

    Liang Feng;Lei Zhou;Jinghui Zhong;Abhishek Gupta

  • Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II

    Kavitesh Kumar Bali;Yew-Soon Ong;Abhishek Gupta;Puay Siew Tan

  • Consistencies and contradictions of performance metrics in multiobjective optimization.

    Siwei Jiang;Yew-Soon Ong;Jie Zhang;Liang Feng

  • Insights on Transfer Optimization: Because Experience is the Best Teacher

    Abhishek Gupta;Yew-Soon Ong;Liang Feng

  • A New Decomposition-Based NSGA-II for Many-Objective Optimization

    Maha Elarbi;Slim Bechikh;Abhishek Gupta;Lamjed Ben Said

  • Max-min surrogate-assisted evolutionary algorithm for robust design

    Yew-Soon Ong;P.B. Nair;K.Y. Lum

Frequent Co-Authors

Liang Feng
Liang Feng Chongqing University
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Jianfei Cai
Jianfei Cai Monash University
Yaochu Jin
Yaochu Jin Westlake University
Ah-Hwee Tan
Ah-Hwee Tan Singapore Management University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Bernhard Sendhoff
Bernhard Sendhoff Honda (Germany)
Zexuan Zhu
Zexuan Zhu Shenzhen University
Jie Zhang
Jie Zhang Nanyang Technological University
Yi Tay
Yi Tay Google (United States)

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