Abhishek Gupta

Orcid: 0000-0002-6080-855X

Affiliations:

Nanyang Technological University, Singapore
University of Auckland, New Zealand (PhD 2014)

According to our database¹, Abhishek Gupta authored at least 88 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization.

[BibT_eX]

[DOI]

Jiao Liu

Abhishek Gupta

Yew-Soon Ong

ACM Trans. Evol. Learn. Optim., December, 2024

Learning in Sinusoidal Spaces With Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., March, 2024

Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., February, 2024

Fourier warm start for physics-informed neural networks.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

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

[BibT_eX]

[DOI]

Carlos A. Coello Coello

Yew-Soon Ong

CoRR, 2024

Multi-Task Learning with Multi-Task Optimization.

[BibT_eX]

[DOI]

Lu Bai

Abhishek Gupta

Yew-Soon Ong

CoRR, 2024

Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality.

[BibT_eX]

[DOI]

CoRR, 2024

Bayesian Forward-Inverse Transfer for Multiobjective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

2023

Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., October, 2023

Adversary Agnostic Robust Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., August, 2023

A layer-wise neural network for multi-item single-output quality estimation.

[BibT_eX]

[DOI]

Edward Kien Yee Yapp

Abhishek Gupta

Xiang Li

J. Intell. Manuf., 2023

Inverse Transfer Multiobjective Optimization.

[BibT_eX]

[DOI]

Jiao Liu

Abhishek Gupta

Yew-Soon Ong

CoRR, 2023

Generalizable Neural Physics Solvers by Baldwinian Evolution.

[BibT_eX]

[DOI]

Joshua Shao Zheng Low

My Ha Dao

Yew-Soon Ong

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Evolutionary Machine Learning With Minions: A Case Study in Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Guest Editorial Special Issue on Multitask Evolutionary Computation.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies.

[BibT_eX]

[DOI]

Xinghua Qu

Yew-Soon Ong

Abhishek Gupta

IEEE Trans. Cybern., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

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

[BibT_eX]

[DOI]

Nicholas Wei Yong Sung

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling.

[BibT_eX]

[DOI]

CoRR, 2022

Half a Dozen Real-World Applications of Evolutionary Multitasking, and More.

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2022

Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Importance Prioritized Policy Distillation.

[BibT_eX]

[DOI]

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

Are Two Heads Always Better Than One? Human-AI Complementarity in Multi-criteria Order Planning.

[BibT_eX]

[DOI]

Chin Sheng Tan

Abhishek Gupta

Chi Xu

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors.

[BibT_eX]

[DOI]

Ray Lim

Abhishek Gupta

Yew-Soon Ong

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2021

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity.

[BibT_eX]

[DOI]

Alan Tan Wei Min

Abhishek Gupta

Yew-Soon Ong

IEEE Trans Autom. Sci. Eng., 2021

Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2021

Non-linear Domain Adaptation in Transfer Evolutionary Optimization.

[BibT_eX]

[DOI]

Cogn. Comput., 2021

Can Transfer Neuroevolution Tractably Solve Your Differential Equations?

[BibT_eX]

[DOI]

Jian Cheng Wong

Abhishek Gupta

Yew-Soon Ong

IEEE Comput. Intell. Mag., 2021

Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

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

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2020

Multi-task gradient descent for multi-task learning.

[BibT_eX]

[DOI]

Memetic Comput., 2020

Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

AIR<sub>5</sub>: Five Pillars of Artificial Intelligence Research.

[BibT_eX]

[DOI]

Yew-Soon Ong

Abhishek Gupta

IEEE Trans. Emerg. Top. Comput. Intell., 2019

A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2019

Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2019

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

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Evolutionary Multitasking via Explicit Autoencoding.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization.

[BibT_eX]

[DOI]

Bingshui Da

Abhishek Gupta

Yew-Soon Ong

IEEE Trans. Cybern., 2019

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

[BibT_eX]

[DOI]

Liang Feng

Abhishek Gupta

Yew-Soon Ong

Memetic Comput., 2019

Fast transfer Gaussian process regression with large-scale sources.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

A Multi-Task Gradient Descent Method for Multi-Label Learning.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Back to the Roots: Multi-X Evolutionary Computation.

[BibT_eX]

[DOI]

Abhishek Gupta

Yew-Soon Ong

Cogn. Comput., 2019

Can route planning be smarter with transfer optimization?

[BibT_eX]

[DOI]

Nengsheng Allan Zhang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Memetic Multi-agent Optimization in High Dimensions using Random Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Coping with Big Data in Transfer Optimization.

[BibT_eX]

[DOI]

Allan Zhang NengSheng

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.

[BibT_eX]

[DOI]

Allan NengSheng Zhang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

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

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2018

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

[BibT_eX]

[DOI]

Abhishek Gupta

Yew-Soon Ong

Liang Feng

IEEE Trans. Emerg. Top. Comput. Intell., 2018

Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2018

Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks.

[BibT_eX]

[DOI]

Neural Process. Lett., 2018

Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

AIR5: Five Pillars of Artificial Intelligence Research.

[BibT_eX]

[DOI]

Yew-Soon Ong

Abhishek Gupta

CoRR, 2018

2017

Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2017

Multiobjective Multifactorial Optimization in Evolutionary Multitasking.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

A generic framework for multi-criteria decision support in eco-friendly urban logistics systems.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2017

Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Knowledge Transfer Through Machine Learning in Aircraft Design.

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2017

Solving dynamic vehicle routing problem via evolutionary search with learning capability.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Linearized domain adaptation in evolutionary multitasking.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Evolutionary Multi-objective Optimization, 2017

2016

Multifactorial Evolution: Toward Evolutionary Multitasking.

[BibT_eX]

[DOI]

Abhishek Gupta

Yew-Soon Ong

Liang Feng

IEEE Trans. Evol. Comput., 2016

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

[BibT_eX]

[DOI]

Evol. Intell., 2016

Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking.

[BibT_eX]

[DOI]

Yew-Soon Ong

Abhishek Gupta

Cogn. Comput., 2016

Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization.

[BibT_eX]

[DOI]

Abhishek Gupta

Yew-Soon Ong

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Application of route flexibility in data-starved vehicle routing problem with time windows.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Landscape synergy in evolutionary multitasking.

[BibT_eX]

[DOI]

Stephanus Daniel Handoko

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary multitasking across single and multi-objective formulations for improved problem solving.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking.

[BibT_eX]

[DOI]

Proceedings of the Artificial Life and Computational Intelligence, 2016

2015

Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming.

[BibT_eX]

[DOI]

Stephanus Daniel Handoko

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs.

[BibT_eX]

[DOI]

Abhishek Gupta

Yew-Soon Ong

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2013

Applying Bi-level Multi-Objective Evolutionary Algorithms for Optimizing Composites Manufacturing Processes.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Abhishek Gupta

Timeline

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