List of works - Yew-Soon Ong

A Fast Reduced Kernel Extreme Learning Machine.

scientific article published on 6 January 2016

A Hierarchical Approach to Study the Thermal Behavior of Protonated Water Clusters H(+)(H2O)n.

scientific article published on October 2009

A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm

scientific article published on 2 December 2014

Adaptive In-Context Learning with Large Language Models for Bundle Generation

scientific article published on 11 July 2024

An adaptive multimeme algorithm for designing HIV multidrug therapies

scientific article

An evolutionary search paradigm that learns with past experiences

scientific article published in June 2012

Classification of adaptive memetic algorithms: a comparative study

scientific article published in February 2006

Combating Negative Transfer From Predictive Distribution Differences

scientific article published in August 2013

Consistencies and contradictions of performance metrics in multiobjective optimization

scientific article published in December 2014

Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization

scientific article published on 01 December 2019

Domain Adaption via Feature Selection on Explicit Feature Map

scientific article published in 2018

Efficient Hierarchical Parallel Genetic Algorithms using Grid computing

scholarly article by Dudy Lim et al published May 2007 in Future Generation Computer Systems

Evolution by adapting surrogates.

scientific article published on 25 June 2012

Evolutionary Multitasking via Explicit Autoencoding

scientific article published on 02 July 2018

Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates

scientific article published on 13 March 2018

Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.

scientific article published on 28 June 2011

Fisher Information Matrix of Unipolar Activation Function-Based Multilayer Perceptrons

scientific article published on 08 June 2018

From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence

scientific article published in 2022

Healing Sample Selection Bias by Source Classifier Selection

scientific article published in December 2011

Identification of full and partial class relevant genes.

scientific article

Large Language Models for Intent-Driven Session Recommendations

scientific article published on 11 July 2024

Learning Target Predictive Function without Target Labels

scientific article published in December 2012

Learning word dependencies in text by means of a deep recurrent belief network

scientific article published in September 2016

Making Trillion Correlations Feasible in Feature Grouping and Selection

scientific article published on December 2016

Markov blanket-embedded genetic algorithm for gene selection

article

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems

scientific article published on 5 August 2015

Memetic Computation—Past, Present & Future [Research Frontier

Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP

scientific article published in October 2015

Multilabel Prediction via Cross-View Search

scientific article published in September 2018

Multiscale approach to explore the potential energy surface of water clusters (H2O)nn <or= 8.

scientific article published on 21 June 2008

Pareto Rank Learning in Multi-objective Evolutionary Algorithms

scientific article published in June 2012

Predictive Distribution Matching SVM for Multi-domain Learning

scientific article published in 2010

QuickVina: accelerating AutoDock Vina using gradient-based heuristics for global optimization

scientific article published in September 2012

Revisiting Bundle Recommendation for Intent-aware Product Bundling

scientific article published on 15 March 2024

Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods

scientific article published in 2022

Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation

scientific article published on 25 August 2024

Temperature dependent structural variations of OH(-)(H2O)n, n = 4-7: effects on vibrational and photoelectron spectra

scientific article published on 01 July 2015

The Emerging "Big Dimensionality"

scientific article published in August 2014

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects

scientific article published on 19 July 2023

Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis

scientific article published on 26 October 2024

Transductive ordinal regression

scientific article published in July 2012

Transfer ordinal label learning

scientific article published in November 2013

Vicinal Vertex Allocation for Matrix Factorization in Networks

scientific article published in 2022

Wrapper-filter feature selection algorithm using a memetic framework

scientific article

List of works by Yew-Soon Ong

A Fast Reduced Kernel Extreme Learning Machine.

A Hierarchical Approach to Study the Thermal Behavior of Protonated Water Clusters H(+)(H2O)n.

A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm

Adaptive In-Context Learning with Large Language Models for Bundle Generation

An adaptive multimeme algorithm for designing HIV multidrug therapies

An evolutionary search paradigm that learns with past experiences

Classification of adaptive memetic algorithms: a comparative study

Combating Negative Transfer From Predictive Distribution Differences

Consistencies and contradictions of performance metrics in multiobjective optimization

Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization

Domain Adaption via Feature Selection on Explicit Feature Map

Efficient Hierarchical Parallel Genetic Algorithms using Grid computing

Evolution by adapting surrogates.

Evolutionary Multitasking via Explicit Autoencoding

Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates

Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.

Fisher Information Matrix of Unipolar Activation Function-Based Multilayer Perceptrons

From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence

Healing Sample Selection Bias by Source Classifier Selection

Identification of full and partial class relevant genes.

Large Language Models for Intent-Driven Session Recommendations

Learning Target Predictive Function without Target Labels

Learning word dependencies in text by means of a deep recurrent belief network

Making Trillion Correlations Feasible in Feature Grouping and Selection

Markov blanket-embedded genetic algorithm for gene selection

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems

Memetic Computation—Past, Present & Future [Research Frontier

Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP

Multilabel Prediction via Cross-View Search

Multiscale approach to explore the potential energy surface of water clusters (H2O)nn <or= 8.

Pareto Rank Learning in Multi-objective Evolutionary Algorithms

Predictive Distribution Matching SVM for Multi-domain Learning

QuickVina: accelerating AutoDock Vina using gradient-based heuristics for global optimization

Revisiting Bundle Recommendation for Intent-aware Product Bundling

Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods

Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation

Temperature dependent structural variations of OH(-)(H2O)n, n = 4-7: effects on vibrational and photoelectron spectra

The Emerging "Big Dimensionality"

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects

Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis

Transductive ordinal regression

Transfer ordinal label learning

Vicinal Vertex Allocation for Matrix Factorization in Networks

Wrapper-filter feature selection algorithm using a memetic framework