Zhenkun Wang

Orcid: 0000-0003-1152-6780

Affiliations:
  • Southern University of Science and Technology, School of System Design and Intelligent Manufacturing, Department of Computer Science and Engineering, Shenzhen, China
  • City University of Hong Kong, Department of Computer Science, Hong Kong (2019 - 2020)
  • Nanyang Technological University, College of Engineering, Singapore (2017 - 2019)
  • Xidian University, Xi'an, China (PhD 2016)


According to our database1, Zhenkun Wang authored at least 100 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Multiobjective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm.
IEEE Trans. Evol. Comput., August, 2025

Multi-Objective Infeasibility Diagnosis for Routing Problems Using Large Language Models.
CoRR, August, 2025

LRM-1B: Towards Large Routing Model.
CoRR, July, 2025

Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization.
CoRR, July, 2025

MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver.
CoRR, June, 2025

Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning.
CoRR, June, 2025

Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees.
CoRR, May, 2025

Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization.
CoRR, May, 2025

Learning to Insert for Constructive Neural Vehicle Routing Solver.
CoRR, May, 2025

Weak Pareto Boundary: The Achilles' Heel of Evolutionary Multi-Objective Optimization.
CoRR, May, 2025

Decoupling Constraint: Task Clone-Based Multitasking Optimization for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., April, 2025

Customized Evolutionary Expensive Optimization: Efficient Search and Surrogate Strategies for Continuous and Categorical Variables.
IEEE Trans. Syst. Man Cybern. Syst., March, 2025

L2R: Learning to Reduce Search Space for Generalizable Neural Routing Solver.
CoRR, March, 2025

A Flexible Ranking-Based Competitive Swarm Optimizer for Large-Scale Continuous Multiobjective Optimization.
IEEE Trans. Evol. Comput., February, 2025

Adaptive Multi/Many-Objective Transformation for Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst., January, 2025

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design.
CoRR, January, 2025

Regularity-based evolutionary multi-objective optimization review.
Swarm Evol. Comput., 2025

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Large Language Model for Multiobjective Evolutionary Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2025

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LLM-Driven Neighborhood Search for Efficient Heuristic Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Multi-Objective Evolution of Heuristic Using Large Language Model.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Destroy and Repair Using Hyper-Graphs for Routing.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive.
Appl. Soft Comput., December, 2024

Surrogate-Assisted Evolutionary Algorithm With Model and Infill Criterion Auto-Configuration.
IEEE Trans. Evol. Comput., August, 2024

Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Toward Evolutionary Multitask Convolutional Neural Architecture Search.
IEEE Trans. Evol. Comput., June, 2024

MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition.
IEEE Trans. Medical Imaging, April, 2024

Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model.
IEEE Trans. Cybern., March, 2024

Objective Extraction for Simplifying Many-Objective Solution Sets.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Pareto Improver: Learning Improvement Heuristics for Multi-Objective Route Planning.
IEEE Trans. Intell. Transp. Syst., January, 2024

Decomposition with adaptive composite norm for evolutionary multi-objective combinatorial optimization.
Swarm Evol. Comput., 2024

Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization.
Swarm Evol. Comput., 2024

MOEA/D with customized replacement neighborhood and dynamic resource allocation for solving 3L-SDHVRP.
Swarm Evol. Comput., 2024

Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selection.
Inf. Sci., 2024

LLM4AD: A Platform for Algorithm Design with Large Language Model.
CoRR, 2024

CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention.
CoRR, 2024

A Systematic Survey on Large Language Models for Algorithm Design.
CoRR, 2024

AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure.
CoRR, 2024

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch.
CoRR, 2024

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization.
CoRR, 2024

Self-Improved Learning for Scalable Neural Combinatorial Optimization.
CoRR, 2024

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search.
CoRR, 2024

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Boundary Decomposition for Nadir Objective Vector Estimation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Tail-Enhanced Representation Learning for Surgical Triplet Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Prompt Learning for Generalized Vehicle Routing.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Smooth Tchebycheff Scalarization for Multi-Objective Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decomposition-Based Memetic Algorithm for Multi-Objective Fleet Size and Mix Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2023

Differential evolution with an adaptive penalty coefficient mechanism and a search history exploitation mechanism.
Expert Syst. Appl., November, 2023

Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal., October, 2023

RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization.
Inf. Sci., July, 2023

Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Offline and Online Objective Reduction via Gaussian Mixture Model Clustering.
IEEE Trans. Evol. Comput., April, 2023

Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms.
Memetic Comput., March, 2023

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

Batch Bayesian optimization with adaptive batch acquisition functions via multi-objective optimization.
Swarm Evol. Comput., 2023

Fast SVM classifier for large-scale classification problems.
Inf. Sci., 2023

Large Language Model for Multi-objective Evolutionary Optimization.
CoRR, 2023

DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Evolutionary Competitive Multitasking Optimization.
IEEE Trans. Evol. Comput., 2022

Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning.
IEEE Trans. Cybern., 2022

Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction.
Swarm Evol. Comput., 2022

System-in-package design using multi-task memetic learning and optimization.
Memetic Comput., 2022

Dynamic multi-objective ensemble of acquisition functions in batch bayesian optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Adaptive Differential Evolution Algorithm with Multiple Gaussian Learning Models.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Stacked Ensemble of Metamodels for Expensive Global Optimization.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Balancing performance between the decision space and the objective space in multimodal multiobjective optimization.
Memetic Comput., 2021

Positive opinion maximization in signed social networks.
Inf. Sci., 2021

It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020
A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem.
Neural Networks, 2020

A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization.
Inf. Sci., 2020

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

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

2017
On the use of two reference points in decomposition based multiobjective evolutionary algorithms.
Swarm Evol. Comput., 2017

An improved global replacement strategy for MOEA/D on many-objective kanpsack problems.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
Adaptive Replacement Strategies for MOEA/D.
IEEE Trans. Cybern., 2016

Discrete particle swarm optimization for high-order graph matching.
Inf. Sci., 2016

Improved adaptive global replacement scheme for MOEA/D-AGR.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
A replacement strategy for balancing convergence and diversity in MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014


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