Zhenkun Wang

133 papers A* 19A 1B 6C 2Journal 92Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Systematic Survey on Large Language Models for Algorithm Design.
ACM Comput. Surv.
Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Xi Lin, Zhe Zhao, Xialiang Tong, Kun Mao, Zhichao Lu, Zhenkun Wang, Mingxuan Yuan, Qingfu Zhang
2026 J jnl
Efficient Decoder Scaling Strategy for Neural Routing Solvers.
CoRR
Qing Luo, Fu Luo, Ke Li, Zhenkun Wang
2026 J jnl
Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design.
CoRR
Zhuoliang Xie, Fei Liu, Zhenkun Wang, Qingfu Zhang
2026 J jnl
Multi-Objective Heterogeneous Fleet Vehicle Routing Problem: Formulation and Algorithm.
IEEE Trans. Intell. Transp. Syst.
Yunpeng Ba, Ruihao Zheng, Zhenkun Wang, Genghui Li
2026 J jnl
Survey on Neural Routing Solvers.
CoRR
Yunpeng Ba, Xi Lin, Changliang Zhou, Ruihao Zheng, Zhenkun Wang, Xinyan Liang, Zhichao Lu, Jianyong Sun, Yuhua Qian, Qingfu Zhang
2025 J jnl
A Flexible Ranking-Based Competitive Swarm Optimizer for Large-Scale Continuous Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Xiangzhou Gao, Shenmin Song, Hu Zhang, Zhenkun Wang
2025 J jnl
Adaptive Multi/Many-Objective Transformation for Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Genghui Li, Zhenkun Wang, Weifeng Gao, Laizhong Cui, Qingfu Zhang
2025 A* conf
Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data.
ICML
Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang
2025 A* conf
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems.
ICLR
Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2025 A* conf
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization.
AAAI
Ruihao Zheng, Zhenkun Wang
2025 A* conf
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention.
ICML
Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang
2025 — conf
Co-Evolution of Large Language Models and Configuration Strategies to Enhance Surrogate-Assisted Evolutionary Algorithm.
KDD (2)
Lindong Xie, Yang Zhang, Zhixian Tang, Edward Chung, Genghui Li, Zhenkun Wang
2025 J jnl
Community Opinion Maximization in Social Networks.
IEEE Trans. Evol. Comput.
Yilu Liu, Qingfu Zhang, Zhenkun Wang
2025 J jnl
Customized Evolutionary Expensive Optimization: Efficient Search and Surrogate Strategies for Continuous and Categorical Variables.
IEEE Trans. Syst. Man Cybern. Syst.
Zhenkun Wang, Lindong Xie, Genghui Li, Weifeng Gao, Maoguo Gong, Ling Wang
2025 J jnl
Decoupling Constraint: Task Clone-Based Multitasking Optimization for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Genghui Li, Zhenkun Wang, Weifeng Gao, Ling Wang
2025 A* conf
Destroy and Repair Using Hyper-Graphs for Routing.
AAAI
Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025 J jnl
Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization.
CoRR
Ruihao Zheng, Zhenkun Wang, Yin Wu, Maoguo Gong
2025 A* conf
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization.
ICLR
Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025 J jnl
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning.
CoRR
Yuanyao Chen, Rongsheng Chen, Fu Luo, Zhenkun Wang
2025 J jnl
L2R: Learning to Reduce Search Space for Generalizable Neural Routing Solver.
CoRR
Changliang Zhou, Xi Lin, Zhenkun Wang, Qingfu Zhang
2025 B conf
LLM-Driven Neighborhood Search for Efficient Heuristic Design.
CEC
Zhuoliang Xie, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025 J jnl
LRM-1B: Towards Large Routing Model.
CoRR
Han Li, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025 — conf
Large Language Model for Multiobjective Evolutionary Optimization.
EMO (2)
Fei Liu, Xi Lin, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2025 J jnl
Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization.
CoRR
Lindong Xie, Genghui Li, Zhenkun Wang, Edward Chung, Maoguo Gong
2025 J jnl
Learning to Insert for Constructive Neural Vehicle Routing Solver.
CoRR
Fu Luo, Xi Lin, Mengyuan Zhong, Fei Liu, Zhenkun Wang, Jianyong Sun, Qingfu Zhang
2025 A* conf
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework.
CVPR
Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang
2025 J jnl
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework.
CoRR
Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang
2025 J jnl
MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver.
CoRR
Yuepeng Zheng, Fu Luo, Zhenkun Wang, Yaoxin Wu, Yu Zhou
2025 A* conf
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design.
ICML
Zhi Zheng, Zhuoliang Xie, Zhenkun Wang, Bryan Hooi
2025 J jnl
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design.
CoRR
Zhi Zheng, Zhuoliang Xie, Zhenkun Wang, Bryan Hooi
2025 A* conf
Multi-Objective Evolution of Heuristic Using Large Language Model.
AAAI
Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2025 J jnl
Multi-Objective Infeasibility Diagnosis for Routing Problems Using Large Language Models.
CoRR
Kai Li, Ruihao Zheng, Xinye Hao, Zhenkun Wang
2025 J jnl
Multiobjective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm.
IEEE Trans. Evol. Comput.
Zhenkun Wang, Kangnian Lin, Genghui Li, Weifeng Gao
2025 J jnl
Multipopulation Optimization With LLM-Driven Knowledge Discovery for Large-Scale HFVRP.
IEEE Trans. Comput. Soc. Syst.
Zhuoliang Xie, Fei Liu, Genghui Li, Zhilin Mao, Yu Zhang, Zhenkun Wang, Qingfu Zhang
2025 J jnl
Regularity-based evolutionary multi-objective optimization review.
Swarm Evol. Comput.
Yulan Lu, Xueyi Guo, Jinggai Geng, Shuai Wang, Zhenkun Wang, Aimin Zhou, Jianyong Sun, Xinhui Si, Xin Sun, Hu Zhang
2025 J jnl
Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees.
CoRR
Fu Luo, Yaoxin Wu, Zhi Zheng, Zhenkun Wang
2025 J jnl
Rethinking Supervised Learning-Based Neural Combinatorial Optimization for Routing Problem.
ACM Trans. Evol. Learn. Optim.
Shunyu Yao, Xi Lin, Jiashu Wang, Qingfu Zhang, Zhenkun Wang
2025 J jnl
URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization.
CoRR
Changliang Zhou, Canhong Yu, Shunyu Yao, Xi Lin, Zhenkun Wang, Yu Zhou, Qingfu Zhang
2025 — conf
Uplink Collaborative Sensing with OFDM Communication Signals.
ICC
Peiwen Huang, Fan Liu, Fuwang Dong, Zhenkun Wang
2025 J jnl
Weak Pareto Boundary: The Achilles' Heel of Evolutionary Multi-Objective Optimization.
CoRR
Ruihao Zheng, Jingda Deng, Zhenkun Wang
2024 J jnl
A Systematic Survey on Large Language Models for Algorithm Design.
CoRR
Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2024 J jnl
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search.
CoRR
Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024 J jnl
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure.
CoRR
Yu Zhang, Kefeng Zheng, Fei Liu, Qingfu Zhang, Zhenkun Wang
2024 J jnl
Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization.
Swarm Evol. Comput.
Zhenkun Wang, Yuanyao Chen, Genghui Li, Lindong Xie, Yu Zhang
2024 A* conf
Boundary Decomposition for Nadir Objective Vector Estimation.
NeurIPS
Ruihao Zheng, Zhenkun Wang
2024 J jnl
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention.
CoRR
Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang
2024 A* conf
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems.
ICML
Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang
2024 J jnl
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems.
CoRR
Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang
2024 J jnl
Decomposition with adaptive composite norm for evolutionary multi-objective combinatorial optimization.
Swarm Evol. Comput.
Ruihao Zheng, Yin Wu, Genghui Li, Yu Zhang, Zhenkun Wang
2024 B conf
Decomposition-Based Memetic Algorithm for Multi-Objective Fleet Size and Mix Vehicle Routing Problem.
CEC
Yunpeng Ba, Ruihao Zheng, Zhenkun Wang
2024 A* conf
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.
ICML
Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024 J jnl
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization.
CoRR
Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2024 J jnl
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization.
CoRR
Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2024 J jnl
LLM4AD: A Platform for Algorithm Design with Large Language Model.
CoRR
Fei Liu, Rui Zhang, Zhuoliang Xie, Rui Sun, Kai Li, Xi Lin, Zhenkun Wang, Zhichao Lu, Qinyu Zhang
2024 A* conf
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret.
AAAI
Rui Sun, Zhi Zheng, Zhenkun Wang
2024 J jnl
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch.
CoRR
Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Zhenkun Wang, Han Zhao, Qingfu Zhang
2024 J jnl
MOEA/D with customized replacement neighborhood and dynamic resource allocation for solving 3L-SDHVRP.
Swarm Evol. Comput.
Han Li, Genghui Li, Qiaoyong Jiang, Jiashu Wang, Zhenkun Wang
2024 J jnl
MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition.
IEEE Trans. Medical Imaging
Shuangchun Gui, Zhenkun Wang, Jixiang Chen, Xun Zhou, Chen Zhang, Yi Cao
2024 A* conf
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization.
KDD
Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024 J jnl
Multi-objective Evolution of Heuristic Using Large Language Model.
CoRR
Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2024 J jnl
Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive.
Appl. Soft Comput.
Zhenkun Wang, Qingyan Li, Genghui Li, Qingfu Zhang
2024 J jnl
Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selection.
Inf. Sci.
Kangnian Lin, Genghui Li, Qingyan Li, Zhenkun Wang, Hisao Ishibuchi, Hu Zhang
2024 J jnl
Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model.
IEEE Trans. Cybern.
Zhenkun Wang, Shunyu Yao, Genghui Li, Qingfu Zhang
2024 J jnl
Objective Extraction for Simplifying Many-Objective Solution Sets.
IEEE Trans. Emerg. Top. Comput. Intell.
Genghui Li, Zhenkun Wang, Jianyong Sun, Qingfu Zhang
2024 J jnl
Pareto Improver: Learning Improvement Heuristics for Multi-Objective Route Planning.
IEEE Trans. Intell. Transp. Syst.
Zhi Zheng, Shunyu Yao, Genghui Li, Linxi Han, Zhenkun Wang
2024 J jnl
Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhengjun Wang, Weifeng Gao, Genghui Li, Zhenkun Wang, Maoguo Gong
2024 A* conf
Prompt Learning for Generalized Vehicle Routing.
IJCAI
Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024 J jnl
Prompt Learning for Generalized Vehicle Routing.
CoRR
Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024 — conf
Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization.
PPSN (4)
Kai Li, Kangnian Lin, Ruihao Zheng, Zhenkun Wang
2024 J jnl
Self-Improved Learning for Scalable Neural Combinatorial Optimization.
CoRR
Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2024 A* conf
Smooth Tchebycheff Scalarization for Multi-Objective Optimization.
ICML
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2024 J jnl
Smooth Tchebycheff Scalarization for Multi-Objective Optimization.
CoRR
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2024 J jnl
Surrogate-Assisted Evolutionary Algorithm With Model and Infill Criterion Auto-Configuration.
IEEE Trans. Evol. Comput.
Lindong Xie, Genghui Li, Zhenkun Wang, Laizhong Cui, Maoguo Gong
2024 — conf
Tail-Enhanced Representation Learning for Surgical Triplet Recognition.
MICCAI (11)
Shuangchun Gui, Zhenkun Wang
2024 J jnl
Toward Evolutionary Multitask Convolutional Neural Architecture Search.
IEEE Trans. Evol. Comput.
Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan
2024 — conf
Towards Lightweight Underwater Depth Estimation.
CAI
Keyu Zhou, Jin Chen, Shuangchun Gui, Zhenkun Wang
2024 A* conf
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems.
NeurIPS
Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang
2024 J jnl
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems.
CoRR
Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang
2024 — conf
UWM-Net: A Mixture Density Network Approach with Minimal Dataset Requirements for Underwater Image Enhancement.
CAI
Jun Huang, Zongze Li, Ruihao Zheng, Zhenkun Wang
2024 — conf
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models.
PPSN (2)
Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024 J jnl
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models.
CoRR
Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2023 A* conf
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization.
AAAI
Ruihao Zheng, Zhenkun Wang
2023 J jnl
Batch Bayesian optimization with adaptive batch acquisition functions via multi-objective optimization.
Swarm Evol. Comput.
Jixiang Chen, Fu Luo, Genghui Li, Zhenkun Wang
2023 J jnl
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal.
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
2023 J jnl
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection.
CoRR
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
2023 J jnl
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization.
IEEE Trans. Cybern.
Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo
2023 B conf
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation.
IJCNN
Zhongju Yuan, Zhenkun Wang, Genghui Li
2023 A conf
Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation.
GECCO
Yin Wu, Ruihao Zheng, Zhenkun Wang
2023 — conf
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models.
STACOM@MICCAI
Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li
2023 J jnl
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models.
CoRR
Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li
2023 J jnl
Differential evolution with an adaptive penalty coefficient mechanism and a search history exploitation mechanism.
Expert Syst. Appl.
Jiaqian Li, Genghui Li, Zhenkun Wang, Laizhong Cui
2023 J jnl
Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization.
Inf. Sci.
Genghui Li, Lindong Xie, Zhenkun Wang, Huajun Wang, Maoguo Gong
2023 J jnl
Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Genghui Li, Zhenkun Wang, Maoguo Gong
2023 J jnl
Fast SVM classifier for large-scale classification problems.
Inf. Sci.
Huajun Wang, Genghui Li, Zhenkun Wang
2023 J jnl
Large Language Model for Multi-objective Evolutionary Optimization.
CoRR
Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2023 J jnl
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution.
IEEE Trans. Emerg. Top. Comput. Intell.
Xin Liu, Jianyong Sun, Qingfu Zhang, Zhenkun Wang, Zongben Xu
2023 A* conf
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization.
NeurIPS
Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
2023 J jnl
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization.
CoRR
Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
2023 J jnl
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering.
IEEE Trans. Evol. Comput.
Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun
2023 J jnl
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhongju Yuan, Genghui Li, Zhenkun Wang, Jianyong Sun, Ran Cheng
2023 J jnl
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhenkun Wang, Shuangchun Gui, Xinpeng Ding, Xiaowei Hu, Xiaowei Xu, Xiaomeng Li
2023 J jnl
The dilemma between eliminating dominance-resistant solutions and preserving boundary solutions of extremely convex Pareto fronts.
Complex Intell. Syst.
Zhenkun Wang, Qingyan Li, Qite Yang, Hisao Ishibuchi
2023 J jnl
Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms.
Memetic Comput.
Zhenkun Wang, Man-Fai Leung, Hangjun Che, Carlos A. Coello Coello
2022 J jnl
A Generalized Scalarization Method for Evolutionary Multi-objective Optimization.
CoRR
Ruihao Zheng, Zhenkun Wang
2022 J jnl
Accelerate the optimization of large-scale manufacturing planning using game theory.
Complex Intell. Syst.
Hui-Ling Zhen, Zhenkun Wang, Xijun Li, Qingfu Zhang, Mingxuan Yuan, Jia Zeng
2022 — conf
Adaptive Differential Evolution Algorithm with Multiple Gaussian Learning Models.
CICAI (3)
Genghui Li, Qingyan Li, Zhenkun Wang
2022 J jnl
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation.
CoRR
Zhongju Yuan, Zhenkun Wang, Genghui Li
2022 J jnl
Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian Optimization.
CoRR
Jixiang Chen, Fu Luo, Zhenkun Wang
2022 — conf
Dynamic multi-objective ensemble of acquisition functions in batch bayesian optimization.
GECCO Companion
Jixiang Chen, Fu Luo, Zhenkun Wang
2022 J jnl
Evolutionary Competitive Multitasking Optimization.
IEEE Trans. Evol. Comput.
Genghui Li, Qingfu Zhang, Zhenkun Wang
2022 J jnl
Memory-based variable neighborhood search for green vehicle routing problem with passing-by drivers: a comprehensive perspective.
Complex Intell. Syst.
Lei Cao, Chunming Ye, Ran Cheng, Zhenkun Wang
2022 J jnl
Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction.
Swarm Evol. Comput.
Wencheng Han, Hao Li, Maoguo Gong, Jianzhao Li, Yiting Liu, Zhenkun Wang
2022 J jnl
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning.
IEEE Trans. Cybern.
Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng
2022 — conf
Stacked Ensemble of Metamodels for Expensive Global Optimization.
CCIS
Ziliang Miao, Buwei He, Hubocheng Tang, Jixiang Chen, Zhenkun Wang
2022 J jnl
System-in-package design using multi-task memetic learning and optimization.
Memetic Comput.
Weijing Dai, Zhenkun Wang, Ke Xue
2021 J jnl
Balancing performance between the decision space and the objective space in multimodal multiobjective optimization.
Memetic Comput.
Qite Yang, Zhenkun Wang, Jianping Luo, Qiang He
2021 C conf
It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions.
EMO
Qite Yang, Zhenkun Wang, Hisao Ishibuchi
2021 C conf
On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D.
EMO
Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang
2021 J jnl
Positive opinion maximization in signed social networks.
Inf. Sci.
Qiang He, Lihong Sun, Xingwei Wang, Zhenkun Wang, Min Huang, Bo Yi, Yuantian Wang, Lianbo Ma
2021 J jnl
Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm.
IEEE Trans. Syst. Man Cybern. Syst.
Weifeng Gao, Genghui Li, Qingfu Zhang, Yuting Luo, Zhenkun Wang
2020 J jnl
A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization.
Inf. Sci.
Jianping Luo, Xiongwen Huang, Yun Yang, Xia Li, Zhenkun Wang, Jiqiang Feng
2020 J jnl
A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem.
Neural Networks
Chen Xu, Yiyuan Chai, Sitian Qin, Zhenkun Wang, Jiqiang Feng
2019 J jnl
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries.
IEEE Trans. Evol. Comput.
Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang
2019 J jnl
Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study.
IEEE Trans. Evol. Comput.
Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang
2019 J jnl
Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates.
IEEE Trans. Cybern.
Jianping Luo, Abhishek Gupta, Yew-Soon Ong, Zhenkun Wang
2019 J jnl
On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries.
IEEE Trans. Evol. Comput.
Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi
2017 — conf
An improved global replacement strategy for MOEA/D on many-objective kanpsack problems.
CASE
Xingxing Hao, Jing Liu, Zhenkun Wang
2017 J jnl
On the use of two reference points in decomposition based multiobjective evolutionary algorithms.
Swarm Evol. Comput.
Zhenkun Wang, Qingfu Zhang, Hui Li, Hisao Ishibuchi, Licheng Jiao
2016 J jnl
Adaptive Replacement Strategies for MOEA/D.
IEEE Trans. Cybern.
Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao
2016 J jnl
Discrete particle swarm optimization for high-order graph matching.
Inf. Sci.
Maoguo Gong, Yue Wu, Qing Cai, Wenping Ma, A. K. Qin, Zhenkun Wang, Licheng Jiao
2016 B conf
Improved adaptive global replacement scheme for MOEA/D-AGR.
CEC
Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
2015 B conf
Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work.
SMC
Zhenkun Wang, Qingfu Zhang, Hui Li
2014 B conf
A replacement strategy for balancing convergence and diversity in MOEA/D.
IEEE Congress on Evolutionary Computation
Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou