Zhenkun Wang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 78

Top Topics

Combinatorial Optimization

Evolutionary Algorithm

Vehicle Routing

Top Venues

IEEE Trans. Evol. Comput.

Swarm Evol. Comput.

Publications

Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Prompt Learning for Generalized Vehicle Routing. CoRR (2024)
Zhenkun Wang, Hao Wang
Nontrivial Traveling Waves of Phage-Bacteria Models in Different Media Types. SIAM J. Appl. Math. 84 (2) (2024)
Yunpeng Ba, Ruihao Zheng, Zhenkun Wang
Decomposition-Based Memetic Algorithm for Multi-Objective Fleet Size and Mix Vehicle Routing Problem. CEC (2024)
Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. CoRR (2024)
Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR (2024)
Zhenkun Wang, Qingyan Li, Genghui Li, Qingfu Zhang
Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive. Appl. Soft Comput. 149 (Part A) (2024)
Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD (2024)
Shuangchun Gui, Zhenkun Wang, Jixiang Chen, Xun Zhou, Chen Zhang, Yi Cao
MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition. IEEE Trans. Medical Imaging 43 (4) (2024)
Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan
Toward Evolutionary Multitask Convolutional Neural Architecture Search. IEEE Trans. Evol. Comput. 28 (3) (2024)
Zhenkun Wang, Shunyu Yao, Genghui Li, Qingfu Zhang
Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model. IEEE Trans. Cybern. 54 (3) (2024)
Han Li, Genghui Li, Qiaoyong Jiang, Jiashu Wang, Zhenkun Wang
MOEA/D with customized replacement neighborhood and dynamic resource allocation for solving 3L-SDHVRP. Swarm Evol. Comput. 85 (2024)
Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR (2024)
Rui Sun, Zhi Zheng, Zhenkun Wang
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret. AAAI (2024)
Ruihao Zheng, Yin Wu, Genghui Li, Yu Zhang, Zhenkun Wang
Decomposition with adaptive composite norm for evolutionary multi-objective combinatorial optimization. Swarm Evol. Comput. 86 (2024)
Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. ICASSP (2024)
Zhi Zheng, Shunyu Yao, Genghui Li, Linxi Han, Zhenkun Wang
Pareto Improver: Learning Improvement Heuristics for Multi-Objective Route Planning. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Zhengjun Wang, Weifeng Gao, Genghui Li, Zhenkun Wang, Maoguo Gong
Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration. IEEE Trans. Emerg. Top. Comput. Intell. 8 (3) (2024)
Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems. CoRR (2024)
Kangnian Lin, Genghui Li, Qingyan Li, Zhenkun Wang, Hisao Ishibuchi, Hu Zhang
Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selection. Inf. Sci. 669 (2024)
Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. CoRR (2024)
Lindong Xie, Genghui Li, Zhenkun Wang, Laizhong Cui, Maoguo Gong
Surrogate-Assisted Evolutionary Algorithm With Model and Infill Criterion Auto-Configuration. IEEE Trans. Evol. Comput. 28 (4) (2024)
Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR (2024)
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR (2024)
Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR (2024)
Genghui Li, Zhenkun Wang, Jianyong Sun, Qingfu Zhang
Objective Extraction for Simplifying Many-Objective Solution Sets. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Zhongju Yuan, Zhenkun Wang, Genghui Li
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation. IJCNN (2023)
Genghui Li, Lindong Xie, Zhenkun Wang, Huajun Wang, Maoguo Gong
Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization. Inf. Sci. 634 (2023)
Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. 53 (1) (2023)
Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models. STACOM@MICCAI (2023)
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
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. Medical Image Anal. 89 (2023)
Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. CoRR (2023)
Huajun Wang, Genghui Li, Zhenkun Wang
Fast SVM classifier for large-scale classification problems. Inf. Sci. 642 (2023)
Zhenkun Wang, Man-Fai Leung, Hangjun Che, Carlos A. Coello Coello
Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms. Memetic Comput. 15 (1) (2023)
Yin Wu, Ruihao Zheng, Zhenkun Wang
Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation. GECCO (2023)
Ruihao Zheng, Zhenkun Wang
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization. AAAI (2023)
Genghui Li, Zhenkun Wang, Maoguo Gong
Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (5) (2023)
Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. IEEE Trans. Evol. Comput. 27 (2) (2023)
Zhenkun Wang, Shuangchun Gui, Xinpeng Ding, Xiaowei Hu, Xiaowei Xu, Xiaomeng Li
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis. IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Jiaqian Li, Genghui Li, Zhenkun Wang, Laizhong Cui
Differential evolution with an adaptive penalty coefficient mechanism and a search history exploitation mechanism. Expert Syst. Appl. 230 (2023)
Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Large Language Model for Multi-objective Evolutionary Optimization. CoRR (2023)
Jixiang Chen, Fu Luo, Genghui Li, Zhenkun Wang
Batch Bayesian optimization with adaptive batch acquisition functions via multi-objective optimization. Swarm Evol. Comput. 79 (2023)
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
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection. CoRR (2023)
Zhongju Yuan, Genghui Li, Zhenkun Wang, Jianyong Sun, Ran Cheng
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Xin Liu, Jianyong Sun, Qingfu Zhang, Zhenkun Wang, Zongben Xu
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. IEEE Trans. Emerg. Top. Comput. Intell. 7 (6) (2023)
Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models. CoRR (2023)
Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS (2023)
Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR (2023)
Zhongju Yuan, Zhenkun Wang, Genghui Li
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation. CoRR (2022)
Wencheng Han, Hao Li, Maoguo Gong, Jianzhao Li, Yiting Liu, Zhenkun Wang
Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction. Swarm Evol. Comput. 75 (2022)
Ziliang Miao, Buwei He, Hubocheng Tang, Jixiang Chen, Zhenkun Wang
Stacked Ensemble of Metamodels for Expensive Global Optimization. CCIS (2022)
Jixiang Chen, Fu Luo, Zhenkun Wang
Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian Optimization. CoRR (2022)
Genghui Li, Qingyan Li, Zhenkun Wang
Adaptive Differential Evolution Algorithm with Multiple Gaussian Learning Models. CICAI (3) (2022)
Jixiang Chen, Fu Luo, Zhenkun Wang
Dynamic multi-objective ensemble of acquisition functions in batch bayesian optimization. GECCO Companion (2022)
Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. 52 (8) (2022)
Ruihao Zheng, Zhenkun Wang
A Generalized Scalarization Method for Evolutionary Multi-objective Optimization. CoRR (2022)
Genghui Li, Qingfu Zhang, Zhenkun Wang
Evolutionary Competitive Multitasking Optimization. IEEE Trans. Evol. Comput. 26 (2) (2022)
Weijing Dai, Zhenkun Wang, Ke Xue
System-in-package design using multi-task memetic learning and optimization. Memetic Comput. 14 (1) (2022)
Qite Yang, Zhenkun Wang, Jianping Luo, Qiang He
Balancing performance between the decision space and the objective space in multimodal multiobjective optimization. Memetic Comput. 13 (1) (2021)
Qiang He, Lihong Sun, Xingwei Wang, Zhenkun Wang, Min Huang, Bo Yi, Yuantian Wang, Lianbo Ma
Positive opinion maximization in signed social networks. Inf. Sci. 558 (2021)
Jing Zhang, Kangkang Li, Zhenkun Wang, Xianwen Zhao, Zhe Wang
Visual enhanced gLSTM for image captioning. Expert Syst. Appl. 184 (2021)
Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang
On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. EMO (2021)
Tianyi Feng, Bin Wang, Haitao Zhao, Tangwei Zhang, Jiawen Tang, Zhenkun Wang
Task Distribution Offloading Algorithm Based on DQN for Sustainable Vehicle Edge Network. NetSoft (2021)
Weifeng Gao, Genghui Li, Qingfu Zhang, Yuting Luo, Zhenkun Wang
Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 51 (9) (2021)
Qite Yang, Zhenkun Wang, Hisao Ishibuchi
It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions. EMO (2021)
Chen Xu, Yiyuan Chai, Sitian Qin, Zhenkun Wang, Jiqiang Feng
A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem. Neural Networks 124 (2020)
Zhenkun Wang, Hao Wang
Persistence and Propagation of a PDE and Discrete-Time Map Hybrid Animal Movement Model With Habitat Shift Driven by Climate Change. SIAM J. Appl. Math. 80 (6) (2020)
Jianping Luo, Xiongwen Huang, Yun Yang, Xia Li, Zhenkun Wang, Jiqiang Feng
A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization. Inf. Sci. 514 (2020)
Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang
Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Trans. Evol. Comput. 23 (5) (2019)
Jing Zhang, Zhenkun Wang, Yakun Mu, Zhe Wang
Image region label refinement using spatial position relation graph. Knowl. Based Syst. 166 (2019)
Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi
On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries. IEEE Trans. Evol. Comput. 23 (2) (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)
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)
Zhenkun Wang, Naigang Cui, Youhua Fan, Dun Liu
Modal and Dynamic Analysis of a Tether for a Nonequatorial Space Elevator. IEEE Access 6 (2018)
Xingxing Hao, Jing Liu, Zhenkun Wang
An improved global replacement strategy for MOEA/D on many-objective kanpsack problems. CASE (2017)
Zhenkun Wang, Qingfu Zhang, Hui Li, Hisao Ishibuchi, Licheng Jiao
On the use of two reference points in decomposition based multiobjective evolutionary algorithms. Swarm Evol. Comput. 34 (2017)
Maoguo Gong, Yue Wu, Qing Cai, Wenping Ma, A. Kai Qin, Zhenkun Wang, Licheng Jiao
Discrete particle swarm optimization for high-order graph matching. Inf. Sci. 328 (2016)
Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao
Adaptive Replacement Strategies for MOEA/D. IEEE Trans. Cybern. 46 (2) (2016)
Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
Improved adaptive global replacement scheme for MOEA/D-AGR. CEC (2016)
Zhenkun Wang, Qingfu Zhang, Hui Li
Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. SMC (2015)
Zhenkun Wang, Yongqing Zheng, Lanju Kong, Zhiyong Chen
A Crisis Mitigation Policy for SLA Profit Maximization in Multitenant Database. CIT/IUCC/DASC/PICom (2015)
Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou
A replacement strategy for balancing convergence and diversity in MOEA/D. IEEE Congress on Evolutionary Computation (2014)
Wei Zhang, Qin Huang, Zhenkun Wang
The Fusion of Remote Sensing Images Based on Lifting Wavelet Transformation. Comput. Inf. Sci. 2 (1) (2009)