Yew-Soon Ong

Orcid: 0000-0002-4480-169X

Affiliations:
  • Nanyang Technological University, Singapore
  • University of Southampton, UK (PhD 2003)


According to our database1, Yew-Soon Ong authored at least 447 papers between 2002 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to memetic computation and applications".

Timeline

Legend:

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Bibliography

2024
Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation.
IEEE Trans. Fuzzy Syst., October, 2024

Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Revisiting Bundle Recommendation for Intent-aware Product Bundling.
Trans. Recomm. Syst., September, 2024

A Multiagent Cooperative Learning System With Evolution of Social Roles.
IEEE Trans. Evol. Comput., April, 2024

Learning in Sinusoidal Spaces With Physics-Informed Neural Networks.
IEEE Trans. Artif. Intell., March, 2024

Word2Pix: Word to Pixel Cross-Attention Transformer in Visual Grounding.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach.
IEEE Trans. Cybern., February, 2024

Understanding Diversity in Session-based Recommendation.
ACM Trans. Inf. Syst., January, 2024

A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals.
ACM Trans. Inf. Syst., January, 2024

Large Language Models can be Guided to Evade AI-generated Text Detection.
Trans. Mach. Learn. Res., 2024

Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events.
IEEE Trans. Inf. Forensics Secur., 2024

Differential privacy in deep learning: A literature survey.
Neurocomputing, 2024

Fourier warm start for physics-informed neural networks.
Eng. Appl. Artif. Intell., 2024

Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges.
CoRR, 2024

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning.
CoRR, 2024

ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference.
CoRR, 2024

Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection.
CoRR, 2024

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning.
CoRR, 2024

Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage.
CoRR, 2024

LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking.
CoRR, 2024

Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model.
CoRR, 2024

Road Network Representation Learning with the Third Law of Geography.
CoRR, 2024

Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation.
CoRR, 2024

SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs.
CoRR, 2024

Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization.
CoRR, 2024

Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions.
CoRR, 2024

Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization.
CoRR, 2024

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation.
CoRR, 2024

A Simple Yet Effective Approach for Diversified Session-Based Recommendation.
CoRR, 2024

Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations.
CoRR, 2024

Multi-Task Learning with Multi-Task Optimization.
CoRR, 2024

Precise-Physics Driven Text-to-3D Generation.
CoRR, 2024

Make Me Happier: Evoking Emotions Through Image Diffusion Models.
CoRR, 2024

LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries.
CoRR, 2024

Polarized message-passing in graph neural networks.
Artif. Intell., 2024

Large Language Models for Intent-Driven Session Recommendations.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Adaptive In-Context Learning with Large Language Models for Bundle Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Unified Denoising Training for Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Bayesian Forward-Inverse Transfer for Multiobjective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Few-Shot NeRF by Adaptive Rendering Loss Regularization.
Proceedings of the Computer Vision - ECCV 2024, 2024

Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap.
Proceedings of the Computer Vision - ECCV 2024, 2024

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Large Language Models as Evolutionary Optimizers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Heterogeneous Multi-Party Learning With Data-Driven Network Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Learning Multitask Gaussian Process Over Heterogeneous Input Domains.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

Semisupervised Graph Neural Networks for Graph Classification.
IEEE Trans. Cybern., October, 2023

Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances.
IEEE Trans. Cybern., October, 2023

Adversary Agnostic Robust Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes.
IEEE Trans. Cogn. Dev. Syst., September, 2023

Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models.
IEEE Comput. Intell. Mag., August, 2023

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification.
IEEE Trans. Knowl. Data Eng., June, 2023

Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Multiparty Dual Learning.
IEEE Trans. Cybern., May, 2023

Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article].
IEEE Comput. Intell. Mag., May, 2023

Compact network embedding for fast node classification.
Pattern Recognit., April, 2023

GrpAvoid: Multigroup Collision-Avoidance Control and Optimization for UAV Swarm.
IEEE Trans. Cybern., March, 2023

Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems.
IEEE Trans. Artif. Intell., February, 2023

Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization.
IEEE Trans. Cybern., 2023

Generative Multiform Bayesian Optimization.
IEEE Trans. Cybern., 2023

Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion.
IEEE Internet Things J., 2023

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation.
CoRR, 2023

Inverse Transfer Multiobjective Optimization.
CoRR, 2023

PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction.
CoRR, 2023

Generalizable Neural Physics Solvers by Baldwinian Evolution.
CoRR, 2023

HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning.
CoRR, 2023

MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation.
CoRR, 2023

Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization.
CoRR, 2023

Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications.
CoRR, 2023

Prompt Evolution for Generative AI: A Classifier-Guided Approach.
CoRR, 2023

Bayesian Federated Learning: A Survey.
CoRR, 2023

Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search.
CoRR, 2023

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry.
Proceedings of the International Joint Conference on Neural Networks, 2023

Masked Frequency Modeling for Self-Supervised Visual Pre-Training.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples.
IEEE Trans. Neural Networks Learn. Syst., 2022

Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression.
IEEE Trans. Knowl. Data Eng., 2022

Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.
IEEE Trans. Intell. Transp. Syst., 2022

Evolutionary Machine Learning With Minions: A Case Study in Feature Selection.
IEEE Trans. Evol. Comput., 2022

Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2022

Guest Editorial Special Issue on Multitask Evolutionary Computation.
IEEE Trans. Evol. Comput., 2022

Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies.
IEEE Trans. Cybern., 2022

Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods.
IEEE Trans. Cybern., 2022

Deep Latent-Variable Kernel Learning.
IEEE Trans. Cybern., 2022

Vicinal Vertex Allocation for Matrix Factorization in Networks.
IEEE Trans. Cybern., 2022

Co-Learning Bayesian Optimization.
IEEE Trans. Cybern., 2022

Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search.
IEEE Trans. Cybern., 2022

From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence.
IEEE Trans. Cybern., 2022

Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos.
IEEE Trans. Circuits Syst. Video Technol., 2022

A Layered Spiking Neural System for Classification Problems.
Int. J. Neural Syst., 2022

Delving into Inter-Image Invariance for Unsupervised Visual Representations.
Int. J. Comput. Vis., 2022

JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results.
CoRR, 2022

Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning.
CoRR, 2022

A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals.
CoRR, 2022

Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data.
CoRR, 2022

A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges.
CoRR, 2022

Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models.
CoRR, 2022

Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling.
CoRR, 2022

Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains.
CoRR, 2022

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2022

CIS Publication Spotlight.
IEEE Comput. Intell. Mag., 2022

Half a Dozen Real-World Applications of Evolutionary Multitasking, and More.
IEEE Comput. Intell. Mag., 2022

Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Synthesising Audio Adversarial Examples for Automatic Speech Recognition.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Importance Prioritized Policy Distillation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

0.08mm<sup>2</sup> 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Anti-Forensic Deepfake Personas and How To Spot Them.
Proceedings of the International Joint Conference on Neural Networks, 2022

Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A multifactorial differential evolution with hybrid global and local search strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Practical Multisource Transfer Regression With Source-Target Similarity Captures.
IEEE Trans. Neural Networks Learn. Syst., 2021

Large-Scale Heteroscedastic Regression via Gaussian Process.
IEEE Trans. Neural Networks Learn. Syst., 2021

Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding.
IEEE Trans. Evol. Comput., 2021

A Collaborative Multiagent Reinforcement Learning Method Based on Policy Gradient Potential.
IEEE Trans. Cybern., 2021

Handling Constrained Many-Objective Optimization Problems via Problem Transformation.
IEEE Trans. Cybern., 2021

Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II.
IEEE Trans. Cybern., 2021

Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity.
IEEE Trans Autom. Sci. Eng., 2021

Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies.
IEEE Trans. Cogn. Dev. Syst., 2021

Modulating scalable Gaussian processes for expressive statistical learning.
Pattern Recognit., 2021

Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization.
Inf. Sci., 2021

Multi-source propagation aware network clustering<sup>☆</sup>.
Neurocomputing, 2021

CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method.
CoRR, 2021

Multi-Party Dual Learning.
CoRR, 2021

Multi-Space Evolutionary Search for Large-Scale Optimization.
CoRR, 2021

Graph Joint Attention Networks.
CoRR, 2021

Affect Recognition for Multimodal Natural Language Processing.
Cogn. Comput., 2021

Non-linear Domain Adaptation in Transfer Evolutionary Optimization.
Cogn. Comput., 2021

Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
IEEE Comput. Intell. Mag., 2021

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2021

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2021

[Guest Editorial].
IEEE Comput. Intell. Mag., 2021

Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization.
IEEE Access, 2021

Efficient Implementation of Activation Functions for LSTM accelerators.
Proceedings of the 29th IFIP/IEEE International Conference on Very Large Scale Integration, 2021

Unsupervised Object-Level Representation Learning from Scene Images.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Conjoint Attentions for Graph Neural Nets.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Energy-Efficient Convolution Unit for Depthwise Separable Convolutional Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

CoCon: A Self-Supervised Approach for Controlled Text Generation.
Proceedings of the 9th International Conference on Learning Representations, 2021

RNA alternative splicing prediction with discrete compositional energy network.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020
Multifactorial Genetic Programming for Symbolic Regression Problems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Survey on Multi-Output Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

When Gaussian Process Meets Big Data: A Review of Scalable GPs.
IEEE Trans. Neural Networks Learn. Syst., 2020

Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2020

Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II.
IEEE Trans. Evol. Comput., 2020

Contextual Correlation Preserving Multiview Featured Graph Clustering.
IEEE Trans. Cybern., 2020

Multi-task gradient descent for multi-task learning.
Memetic Comput., 2020

What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules.
J. Ambient Intell. Humaniz. Comput., 2020

DEVDAN: Deep evolving denoising autoencoder.
Neurocomputing, 2020

Precise object detection using adversarially augmented local/global feature fusion.
Eng. Appl. Artif. Intell., 2020

Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning.
CoRR, 2020

Heterogeneous Representation Learning: A Review.
CoRR, 2020

Relational Thematic Clustering with Mutually Preferred Neighbors.
CoRR, 2020

Genetic Programming Multitasking.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Jacobian Adversarially Regularized Networks for Robustness.
Proceedings of the 8th International Conference on Learning Representations, 2020

Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Online Deep Clustering for Unsupervised Representation Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adaptive Knowledge Transfer based on Transfer Neural Kernel Network.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Domain Adaption via Feature Selection on Explicit Feature Map.
IEEE Trans. Neural Networks Learn. Syst., 2019

AIR<sub>5</sub>: Five Pillars of Artificial Intelligence Research.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries.
IEEE Trans. Evol. Comput., 2019

On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries.
IEEE Trans. Evol. Comput., 2019

Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems.
IEEE Trans. Evol. Comput., 2019

Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study.
IEEE Trans. Evol. Comput., 2019

Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates.
IEEE Trans. Cybern., 2019

Fisher Information Matrix of Unipolar Activation Function-Based Multilayer Perceptrons.
IEEE Trans. Cybern., 2019

Evolutionary Multitasking via Explicit Autoencoding.
IEEE Trans. Cybern., 2019

Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization.
IEEE Trans. Cybern., 2019

Domination landscape in evolutionary algorithms and its applications.
Soft Comput., 2019

Compressed representation for higher-level meme space evolution: a case study on big knapsack problems.
Memetic Comput., 2019

Understanding and comparing scalable Gaussian process regression for big data.
Knowl. Based Syst., 2019

Fast transfer Gaussian process regression with large-scale sources.
Knowl. Based Syst., 2019

Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks.
CoRR, 2019

A Multi-Task Gradient Descent Method for Multi-Label Learning.
CoRR, 2019

Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy.
CoRR, 2019

Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods.
CoRR, 2019

Back to the Roots: Multi-X Evolutionary Computation.
Cogn. Comput., 2019

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2019

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2019

Manifold Regularized Stochastic Block Model.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Can route planning be smarter with transfer optimization?
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Memetic Evolution Strategy for Reinforcement Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Coping with Big Data in Transfer Optimization.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
A New Decomposition-Based NSGA-II for Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Multilabel Prediction via Cross-View Search.
IEEE Trans. Neural Networks Learn. Syst., 2018

Insights on Transfer Optimization: Because Experience is the Best Teacher.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis.
IEEE Trans. Evol. Comput., 2018

Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks.
Neural Process. Lett., 2018

Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution.
Knowl. Based Syst., 2018

Remarks on multi-output Gaussian process regression.
Knowl. Based Syst., 2018

Numerical Analysis near Singularities in RBF Networks.
J. Mach. Learn. Res., 2018

Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method.
Eng. Appl. Artif. Intell., 2018

AIR5: Five Pillars of Artificial Intelligence Research.
CoRR, 2018

Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Vulnerabilities.
CoRR, 2018

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams.
CoRR, 2018

Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer.
CoRR, 2018

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2018

Computational intelligence in optical remote sensing image processing.
Appl. Soft Comput., 2018

Co-evolutionary multi-task learning for dynamic time series prediction.
Appl. Soft Comput., 2018

How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach.
IEEE Access, 2018

Discrete Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Discrete Prototype Multilabel Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression.
Proceedings of the 35th International Conference on Machine Learning, 2018

Uncluttered Domain Sub-Similarity Modeling for Transfer Regression.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Context-based and Explainable Decision Making with Argumentation.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Compact Multi-Label Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Editorial IEEE Transactions on Emerging Topics in Computational Intelligence.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Structured Memetic Automation for Online Human-Like Social Behavior Learning.
IEEE Trans. Evol. Comput., 2017

An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems.
IEEE Trans. Evol. Comput., 2017

Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems.
IEEE Trans. Evol. Comput., 2017

Multiobjective Multifactorial Optimization in Evolutionary Multitasking.
IEEE Trans. Cybern., 2017

Extreme learning machine for indoor location fingerprinting.
Multidimens. Syst. Signal Process., 2017

Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction.
Neurocomputing, 2017

A generic framework for multi-criteria decision support in eco-friendly urban logistics systems.
Expert Syst. Appl., 2017

Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design.
Eng. Appl. Artif. Intell., 2017

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR, 2017

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR, 2017

Gene Expression Programming: A Survey [Review Article].
IEEE Comput. Intell. Mag., 2017

Knowledge Transfer Through Machine Learning in Aircraft Design.
IEEE Comput. Intell. Mag., 2017

An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error.
Comput. Chem. Eng., 2017

Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression.
Proceedings of the 34th International Conference on Machine Learning, 2017

MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Solving dynamic vehicle routing problem via evolutionary search with learning capability.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Linearized domain adaptation in evolutionary multitasking.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking.
Proceedings of the Recent Advances in Evolutionary Multi-objective Optimization, 2017

2016
Solving the Dynamic Vehicle Routing Problem Under Traffic Congestion.
IEEE Trans. Intell. Transp. Syst., 2016

Self-Learning Gene Expression Programming.
IEEE Trans. Evol. Comput., 2016

Multifactorial Evolution: Toward Evolutionary Multitasking.
IEEE Trans. Evol. Comput., 2016

Memetic Music Composition.
IEEE Trans. Evol. Comput., 2016

Specialization of a UCT-Based General Game Playing Program to Single-Player Games.
IEEE Trans. Comput. Intell. AI Games, 2016

Soft computing in remote sensing image processing.
Soft Comput., 2016

Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem.
Soft Comput., 2016

Making Trillion Correlations Feasible in Feature Grouping and Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

A Fast Reduced Kernel Extreme Learning Machine.
Neural Networks, 2016

Learning word dependencies in text by means of a deep recurrent belief network.
Knowl. Based Syst., 2016

GP made faster with semantic surrogate modelling.
Inf. Sci., 2016

Online sequential reduced kernel extreme learning machine.
Neurocomputing, 2016

Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization.
Evol. Intell., 2016

Adaptive Subgradient Methods for Online AUC Maximization.
CoRR, 2016

Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking.
Cogn. Comput., 2016

Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks.
Ann. Oper. Res., 2016

Three-Dimensional Vehicle Routing Problem for Urban Last Mile Logistics: Problem Formulation and Computational Analysis.
Proceedings of the UKSim-AMSS 18th International Conference on Computer Modelling and Simulation, 2016

Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Concurrently searching branches in software tests generation through multitask evolution.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Preface KSE 2016.
Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering, 2016

Semi-supervised auto-encoder based on manifold learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Creating human-like non-player game characters using a Memetic Multi-Agent System.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A conceptual modeling of flocking-regulated multi-agent reinforcement learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Application of route flexibility in data-starved vehicle routing problem with time windows.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Landscape synergy in evolutionary multitasking.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary multitasking across single and multi-objective formulations for improved problem solving.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Meme representations for game agents.
World Wide Web, 2015

City Vehicle Routing Problem (City VRP): A Review.
IEEE Trans. Intell. Transp. Syst., 2015

Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP.
IEEE Trans. Evol. Comput., 2015

A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm.
IEEE Trans. Cybern., 2015

Deep transfer learning for classification of time-delayed Gaussian networks.
Signal Process., 2015

Editorial.
Memetic Comput., 2015

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems.
Memetic Comput., 2015

Surrogate Genetic Programming: A semantic aware evolutionary search.
Inf. Sci., 2015

Adaptive and scalable load balancing for metadata server cluster in cloud-scale file systems.
Frontiers Comput. Sci., 2015

Towards Evolutionary Multitasking: A New Paradigm.
Proceedings of the Sixth International Symposium on Information and Communication Technology, 2015

Offline time-sensitive travel time estimation in an urban road network.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015

A data-driven approach for online adaptation of game difficulty.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

An Adaptive Gradient Method for Online AUC Maximization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization.
IEEE Trans. Cybern., 2014

Multiobjective optimization based on reputation.
Inf. Sci., 2014

The Emerging ?Big Dimensionality?
IEEE Comput. Intell. Mag., 2014

An integrated intelligent technique for monthly rainfall time series prediction.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Transformation of input space using statistical moments: EA-based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A pheromone-based traffic management model for vehicle re-routing and traffic light control.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
Transfer Ordinal Label Learning.
IEEE Trans. Neural Networks Learn. Syst., 2013

Combating Negative Transfer From Predictive Distribution Differences.
IEEE Trans. Cybern., 2013

Extreme learning machine terrain-based navigation for unmanned aerial vehicles.
Neural Comput. Appl., 2013

Editorial.
Memetic Comput., 2013

Extreme Learning Machines.
IEEE Intell. Syst., 2013

Evolution by Adapting Surrogates.
Evol. Comput., 2013

Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing.
IEEE Comput. Intell. Mag., 2013

An Agent-Based Simulation to Quantify and Analyze Bullwhip Effects in Supply Chains.
Proceedings of the IEEE International Conference on Systems, 2013

A Review of Complex Systems Technologies for Supply Chain Risk Management.
Proceedings of the IEEE International Conference on Systems, 2013

Agent-Based Modeling and Simulation for Supply Chain Risk Management - A Survey of the State-of-the-Art.
Proceedings of the IEEE International Conference on Systems, 2013

Near-optimal packet allocation algorithm for content uploading to media cloud via collaborative wireless network.
Proceedings of the International Conference on Computing, Networking and Communications, 2013

Multi-game playing - A challenge for computational intelligence.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2013

Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

An evolutionary model for constructing robust trust networks.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
A Conceptual Modeling of Meme Complexes in Stochastic Search.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Transductive Ordinal Regression.
IEEE Trans. Neural Networks Learn. Syst., 2012

Erratum to "QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization".
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Ockham's Razor in memetic computing: Three stage optimal memetic exploration.
Inf. Sci., 2012

A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem.
Int. J. Syst. Sci., 2012

Meme as Building Block for Evolutionary Optimization of Problem Instances
CoRR, 2012

A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules.
Comput. Math. Appl., 2012

A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design.
IEEE Comput. Intell. Mag., 2012

FAME, Soft Flock Formation Control for Collective Behavior Studies and Rapid Games Development.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Discovering Support and Affiliated Features from Very High Dimensions.
Proceedings of the 29th International Conference on Machine Learning, 2012

Learning Target Predictive Function without Target Labels.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

An improved CUDA-based implementation of differential evolution on GPU.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Experiences on memetic computation for locating transition states in biochemical applications.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Maximum margin clustering on evolutionary data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Pareto Rank Learning in Multi-objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Autonomous flock brush for non-photorealistic rendering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An evolutionary search paradigm that learns with past experiences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Virtual characters in agent-augmented co-space (demonstration).
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

A multiagent evolutionary framework based on trust for multiobjective optimization.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Guest Editorial.
IEEE Trans. Evol. Comput., 2011

A Multi-Facet Survey on Memetic Computation.
IEEE Trans. Evol. Comput., 2011

Toward an Evolutionary Computing Modeling Language.
IEEE Trans. Evol. Comput., 2011

Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.
Int. J. Comput. Biol. Drug Des., 2011

A hybrid agent architecture integrating desire, intention and reinforcement learning.
Expert Syst. Appl., 2011

Neural meta-memes framework for managing search algorithms in combinatorial optimization.
Proceedings of the 2011 IEEE Workshop on Memetic Computing, 2011

RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Multiobjective optimization by decomposition with Pareto-adaptive weight vectors.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Healing Sample Selection Bias by Source Classifier Selection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Towards human-like social multi-agents with memetic automaton.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis.
IEEE Trans. Evol. Comput., 2010

Generalizing Surrogate-Assisted Evolutionary Computation.
IEEE Trans. Evol. Comput., 2010

Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms.
IEEE Trans. Evol. Comput., 2010

Identification of Full and Partial Class Relevant Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010

A self-organizing neural architecture integrating desire, intention and reinforcement learning.
Neurocomputing, 2010

An investigation on noise-induced features in robust evolutionary multi-objective optimization.
Expert Syst. Appl., 2010

Memetic Computation - Past, Present & Future [Research Frontier].
IEEE Comput. Intell. Mag., 2010

Neural Meta-Memes Framework for Combinatorial Optimization.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Predictive Distribution Matching SVM for Multi-domain Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Autonomous Multi-agents in Flexible Flock Formation.
Proceedings of the Motion in Games - Third International Conference, 2010

Youth Olympic Village Co-space.
Proceedings of the 2010 International Conference on CyberWorlds, 2010

Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Structural analysis of (TCR - )HLA/peptide complexes: An initial study.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
A Probabilistic Memetic Framework.
IEEE Trans. Evol. Comput., 2009

Special issue on emerging trends in soft computing: memetic algorithms.
Soft Comput., 2009

A proposition on memes and meta-memes in computing for higher-order learning.
Memetic Comput., 2009

Editorial to the first issue.
Memetic Comput., 2009

Lamarckian memetic algorithms: local optimum and connectivity structure analysis.
Memetic Comput., 2009

Adaptive Cellular Memetic Algorithms.
Evol. Comput., 2009

Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Finding multiple first order saddle points using a valley adaptive clearing genetic algorithm.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
A BDI Assignment Protocol With New Cooperative-Concession Strategies.
IEEE Trans. Syst. Man Cybern. Part A, 2008

Hybrid ant colony algorithms for path planning in sparse graphs.
Soft Comput., 2008

A fast pruned-extreme learning machine for classification problem.
Neurocomputing, 2008

Hybrid evolutionary algorithm with Hermite radial basis function interpolants for computationally expensive adjoint solvers.
Comput. Optim. Appl., 2008

Using classification for constrained memetic algorithm: A new paradigm.
Proceedings of the IEEE International Conference on Systems, 2008

Extreme learning machine for multi-categories classification applications.
Proceedings of the International Joint Conference on Neural Networks, 2008

Evolutionary Optimization with Dynamic Fidelity Computational Models.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A Multi-Objective Memetic Algorithm Based Clustering Method.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

Non-genetic transmission of memes by diffusion.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Optinformatics for schema analysis of binary genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Automatic configuration of metaheuristic algorithms for complex combinatorial optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Memetic Gradient Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An investigation on evolutionary gradient search for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Evolvable Fuzzy Scheduling Scheme for Multiple-ChannelPacket Switching Network.
Proceedings of the Evolutionary Scheduling, 2007

Wrapper-Filter Feature Selection Algorithm Using a Memetic Framework.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Special Issue on Memetic Algorithms.
IEEE Trans. Syst. Man Cybern. Part B, 2007

An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Memetic algorithm using multi-surrogates for computationally expensive optimization problems.
Soft Comput., 2007

Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems.
Soft Comput., 2007

Markov blanket-embedded genetic algorithm for gene selection.
Pattern Recognit., 2007

Efficient Hierarchical Parallel Genetic Algorithms using Grid computing.
Future Gener. Comput. Syst., 2007

Memetic Algorithms for Feature Selection on Microarray Data.
Proceedings of the Advances in Neural Networks, 2007

A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

Hierarchical model parallel memetic algorithm in heterogeneous computing environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A study on the design issues of Memetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Noise-induced features in robust multi-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Grid-based PSE for Engineering of Materials (GPEM).
Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007

2006
Classification of adaptive memetic algorithms: a comparative study.
IEEE Trans. Syst. Man Cybern. Part B, 2006

A context switchable fuzzy inference chip.
IEEE Trans. Fuzzy Syst., 2006

Max-min surrogate-assisted evolutionary algorithm for robust design.
IEEE Trans. Evol. Comput., 2006

A new machine learning paradigm for terrain reconstruction.
IEEE Geosci. Remote. Sens. Lett., 2006

Editorial to special issue on evolutionary computation in dynamic and uncertain environments.
Genet. Program. Evolvable Mach., 2006

Inverse multi-objective robust evolutionary design.
Genet. Program. Evolvable Mach., 2006

Extreme Learning Machine for Predicting HLA-Peptide Binding.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Computational Capabilities of Soft-Computing Frameworks: An Overview.
Proceedings of the Ninth International Conference on Control, 2006

A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Adaptation for parallel memetic algorithm based on population entropy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Trusted Evolutionary Algorithm.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Analysis of Jobs in a Multi-Organizational Grid Test-bed.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

2005
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Solving large scale combinatorial optimization using PMA-SLS.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Grid Enabled Optimization.
Proceedings of the Advances in Grid Computing, 2005

Reservoir Characterization Using Support Vector Machines.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Design and implementation of an efficient multi-cluster GridRPC system.
Proceedings of the 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 2005

2004
Meta-Lamarckian learning in memetic algorithms.
IEEE Trans. Evol. Comput., 2004

Using Memetic Algorithms for Fuzzy Modelling.
Aust. J. Intell. Inf. Process. Syst., 2004

GAD Kit - A Toolkit for "Gridifying" Applications.
Proceedings of the Parallel and Distributed Computing: Applications and Technologies, 2004

Study of migration topology in island model parallel hybrid-GA for large scale quadratic assignment problems.
Proceedings of the 8th International Conference on Control, 2004

A service-oriented approach for aerodynamic shape optimisation across institutional boundaries.
Proceedings of the 8th International Conference on Control, 2004

Hierarchical surrogate-assisted evolutionary optimization framework.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data.
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004

2003
Handwritten Chinese character recognition using kernel active handwriting model.
Proceedings of the IEEE International Conference on Systems, 2003

"Gridifying" Aerodynamic Design Problem Using GridRPC.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

A parallel hybrid GA for combinatorial optimization using grid technology.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Artificial intelligence technologies in complex engineering design.
PhD thesis, 2002


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