Abhishek Gupta

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 86

Top Topics

Evolutionary Optimization

Vehicle Routing

Reinforcement Learning

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Evol. Comput.

Publications

Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. 5 (3) (2024)
Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality. CoRR (2024)
Lu Bai, Abhishek Gupta, Yew-Soon Ong
Multi-Task Learning with Multi-Task Optimization. CoRR (2024)
Zefeng Chen, Abhishek Gupta, Lei Zhou, Yew-Soon Ong
Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach. IEEE Trans. Cybern. 54 (2) (2024)
Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization. CoRR (2024)
Ge Jin, Jian Cheng Wong, Abhishek Gupta, Shipeng Li, Yew-Soon Ong
Fourier warm start for physics-informed neural networks. Eng. Appl. Artif. Intell. 132 (2024)
Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun
Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong
Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances. IEEE Trans. Cybern. 53 (10) (2023)
Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion (2023)
Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen
Prompt Evolution for Generative AI: A Classifier-Guided Approach. CoRR (2023)
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Caishun Chen, Ray Lim
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models. IEEE Comput. Intell. Mag. 18 (3) (2023)
Jiao Liu, Abhishek Gupta, Yew-Soon Ong
Inverse Transfer Multiobjective Optimization. CoRR (2023)
Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong
Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR (2023)
Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection. IEEE Trans. Evol. Comput. 26 (1) (2022)
Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling. CoRR (2022)
Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma
Importance Prioritized Policy Distillation. KDD (2022)
Nicholas Sung Wei Yong, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR (2022)
Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang
Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. 26 (2) (2022)
Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23 (2) (2022)
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Ray Lim
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models. CoRR (2022)
Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More. IEEE Comput. Intell. Mag. 17 (2) (2022)
Ray Lim, Abhishek Gupta, Yew-Soon Ong
An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors. CEC (2022)
Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Trans. Cybern. 52 (8) (2022)
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Trans. Cybern. 52 (8) (2022)
Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI (2022)
Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou
Half a Dozen Real-World Applications of Evolutionary Multitasking and More. CoRR (2021)
Ray Lim, Lei Zhou, Abhishek Gupta, Yew-Soon Ong, Allan N. Zhang
Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization. IEEE Access 9 (2021)
Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? IEEE Comput. Intell. Mag. 16 (2) (2021)
Alan Tan Wei Min, Abhishek Gupta, Yew-Soon Ong
Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity. IEEE Trans Autom. Sci. Eng. 18 (4) (2021)
Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 51 (6) (2021)
Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. CoRR (2021)
Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? CoRR (2021)
Kavitesh Kumar Bali, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan
Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II. IEEE Trans. Cybern. 51 (4) (2021)
Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang
Non-linear Domain Adaptation in Transfer Evolutionary Optimization. Cogn. Comput. 13 (2) (2021)
Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. 13 (4) (2021)
Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. IEEE Trans. Evol. Comput. 25 (3) (2021)
Liang Feng, Lei Zhou, Abhishek Gupta, Jinghui Zhong, Zexuan Zhu, Kay Chen Tan, Alex Kai Qin
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. IEEE Trans. Cybern. 51 (6) (2021)
Sun Mingyang, Yaqing Hou, Qiang Zhang, Hong-Wei Ge, Xin Yang, Feng Liang, Abhishek Gupta, Xianneng Li
Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation. CEC (2020)
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. CoRR (2020)
Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II. IEEE Trans. Evol. Comput. 24 (1) (2020)
Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong
Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances. CoRR (2020)
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
Multi-task gradient descent for multi-task learning. Memetic Comput. 12 (4) (2020)
Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR (2019)
Yew-Soon Ong, Abhishek Gupta
: Five Pillars of Artificial Intelligence Research. IEEE Trans. Emerg. Top. Comput. Intell. 3 (5) (2019)
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
A Multi-Task Gradient Descent Method for Multi-Label Learning. CoRR (2019)
Abhishek Gupta, Yew-Soon Ong, Mojtaba Shakeri, Xu Chi, Allan NengSheng Zhang
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight. IEEE BigData (2019)
Abhishek Gupta, Yew-Soon Ong
Back to the Roots: Multi-X Evolutionary Computation. Cogn. Comput. 11 (1) (2019)
Yaqing Hou, N. Jiang, H. Ge, Q. Zhang, Xinghua Qu, L. Feng, Abhishek Gupta
Memetic Multi-agent Optimization in High Dimensions using Random Embeddings. CEC (2019)
Bingshui Da, Abhishek Gupta, Yew-Soon Ong
Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization. IEEE Trans. Cybern. 49 (12) (2019)
Bingshui Da, Yew-Soon Ong, Abhishek Gupta, Liang Feng, Haitao Liu
Fast transfer Gaussian process regression with large-scale sources. Knowl. Based Syst. 165 (2019)
Q. Shang, L. Zhang, L. Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu
A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. CEC (2019)
Jianping Luo, Abhishek Gupta, Yew-Soon Ong, Zhenkun Wang
Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates. IEEE Trans. Cybern. 49 (5) (2019)
Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, Alex Kai Qin
Evolutionary Multitasking via Explicit Autoencoding. IEEE Trans. Cybern. 49 (9) (2019)
Mojtaba Shakeri, Abhishek Gupta, Yew-Soon Ong, Xu Chi, Allan Zhang NengSheng
Coping with Big Data in Transfer Optimization. IEEE BigData (2019)
Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh
Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems. IEEE Trans. Evol. Comput. 23 (1) (2019)
Ray Lim, Yew-Soon Ong, Hanh Thi Hong Phan, Abhishek Gupta, Nengsheng Allan Zhang
Can route planning be smarter with transfer optimization? GECCO (Companion) (2019)
Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. IEEE Trans. Evol. Comput. 23 (4) (2019)
Liang Feng, Abhishek Gupta, Yew-Soon Ong
Compressed representation for higher-level meme space evolution: a case study on big knapsack problems. Memetic Comput. 11 (1) (2019)
Abhishek Gupta, Yew-Soon Ong, Liang Feng
Insights on Transfer Optimization: Because Experience is the Best Teacher. IEEE Trans. Emerg. Top. Comput. Intell. 2 (1) (2018)
Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong
Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution. Knowl. Based Syst. 154 (2018)
Yew-Soon Ong, Abhishek Gupta
AIR5: Five Pillars of Artificial Intelligence Research. CoRR (2018)
Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong
A New Decomposition-Based NSGA-II for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 48 (7) (2018)
Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. IEEE Trans. Evol. Comput. 22 (2) (2018)
Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. Neural Process. Lett. 47 (3) (2018)
Abhishek Gupta, Chen Kim Heng, Yew-Soon Ong, Puay Siew Tan, Allan N. Zhang
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems. Expert Syst. Appl. 71 (2017)
Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR (2017)
Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan
Multiobjective Multifactorial Optimization in Evolutionary Multitasking. IEEE Trans. Cybern. 47 (7) (2017)
Bingshui Da, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. CoRR (2017)
Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution. CoRR (2017)
Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh
Knowledge Transfer Through Machine Learning in Aircraft Design. IEEE Comput. Intell. Mag. 12 (4) (2017)
Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan
Linearized domain adaptation in evolutionary multitasking. CEC (2017)
Meiying Cheng, Abhishek Gupta, Yew-Soon Ong, Zhiwei Ni
Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design. Eng. Appl. Artif. Intell. 64 (2017)
Liang Feng, Yew-Soon Ong, Siwei Jiang, Abhishek Gupta
Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems. IEEE Trans. Evol. Comput. 21 (5) (2017)
L. Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan
Solving dynamic vehicle routing problem via evolutionary search with learning capability. CEC (2017)
Yew-Soon Ong, Abhishek Gupta
Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking. Cogn. Comput. 8 (2) (2016)
Chen Kim Heng, Quoc Chinh Nguyen, Siwei Jiang, Puay Siew Tan, Abhishek Gupta, Bingshui Da, Yew-Soon Ong
Application of route flexibility in data-starved vehicle routing problem with time windows. CEC (2016)
Abhishek Gupta, Yew-Soon Ong
Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization. SSCI (2016)
Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng
Evolutionary multitasking across single and multi-objective formulations for improved problem solving. CEC (2016)
Dudy Lim, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh, Partha Sarathi Dutta
Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization. Evol. Intell. 9 (4) (2016)
Abhishek Gupta, Yew-Soon Ong
Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimization. CoRR (2016)
Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko
Landscape synergy in evolutionary multitasking. CEC (2016)
Abhishek Gupta, Yew-Soon Ong, Liang Feng
Multifactorial Evolution: Toward Evolutionary Multitasking. IEEE Trans. Evol. Comput. 20 (3) (2016)
Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh
Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing. CEC (2016)
Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng
The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking. ACALCI (2016)
Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. ICONIP (2) (2016)
Stephanus Daniel Handoko, Hoong Chuin Lau, Abhishek Gupta, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan
Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming. CEC (2015)
Abhishek Gupta, Yew-Soon Ong
An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs. CEC (2015)
Abhishek Gupta, Piaras A. Kelly, Matthias Ehrgott, Simon Bickerton
Applying Bi-level Multi-Objective Evolutionary Algorithms for Optimizing Composites Manufacturing Processes. EMO (2013)