Yew-Soon Ong

Nanyang Technological University — Singapore

Computer Science · Physical Sciences

81h-index27.8kcitations799works3.42yr avg
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Research Topics

Metaheuristic Optimization Algorithms Research(182), Advanced Multi-Objective Optimization Algorithms(160), Evolutionary Algorithms and Applications(149), Neural Networks and Applications(45), Domain Adaptation and Few-Shot Learning(41)

Publications798 total

Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
IEEE Transactions on Evolutionary Computation·2026· 1 citedOpen Access
Niching Genetic Programming for Co-Joint Optimization: A Case Study on Replenishment and Transshipment Policies in Dynamic Multi-Site Inventory Management
Memetic Computing·2025Open Access
Development and Initial Validation of a Brief Multidimensional Falls Efficacy Scale
Journal of Frailty Sarcopenia and Falls·2025· 1 citedOpen Access
MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models
arXiv (Cornell University)·2025Open Access
Parametric Expensive Multi-Objective Optimization via Generative Solution Modeling
arXiv (Cornell University)·2025Open Access
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
arXiv (Cornell University)·2025Open Access
The development of carbon-neutral data centres in space
Nature Electronics·2025
Crowd Dynamics Demand Adaptivity: Self-Adaptive Physics-Informed Neural Network for Crowd Simulation
2025
Identification of Dorsal Acupoints of Human Body Based on Meridian Pathways and Geometric Topological Relationships
2025Open Access
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
ACM Computing Surveys·2025· 5 cited
An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems
arXiv (Cornell University)·2025Open Access
HypoSpace: Evaluating LLM Creativity as Set-Valued Hypothesis Generators under Underdetermination
arXiv (Cornell University)·2025Open Access
LLM2TEA: An Agentic AI Designer for Discovery With Generative Evolutionary Multitasking
IEEE Computational Intelligence Magazine·2025
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
arXiv (Cornell University)·2025Open Access
Evolutionary Computation as Natural Generative AI
arXiv (Cornell University)·2025Open Access
EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics
arXiv (Cornell University)·2025Open Access
Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
arXiv (Cornell University)·2025Open Access
MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning
arXiv (Cornell University)·2025Open Access
A continuous encoding-based representation for efficient multi-fidelity multi-objective neural architecture search
Applied Soft Computing·2025
Reconstructing High-fidelity Plasma Turbulence with Data-driven Tuning of Diffusion in Low Resolution Grids
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Abhishek Gupta(12), Liang Feng(10), Meng‐Hiot Lim(5), Andy J. Keane(4), Prasanth B. Nair(4), Zexuan Zhu(4), Meng Hiot Lim(4), Puay Siew Tan(4), Haitao Liu(3), Jianfei Cai(3), Kay Chen Tan(3), Dudy Lim(3), Yaochu Jin(3), Zongzhao Zhou(3), Jinghui Zhong(3), Kavitesh Kumar Bali(3), Siwei Jiang(3), Erik Cambria(2), Guang-Bin Huang(2), Chamara Kasun Liyanaarachchi Lekamalage(2)