Zhenkun Wang

According to our database, Zhenkun Wang authored at least 60 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition.

Shuangchun Gui, Zhenkun Wang, Jixiang Chen, Xun Zhou, Chen Zhang, Yi Cao

IEEE Trans. Medical Imaging, April, 2024

Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model.

Zhenkun Wang, Shunyu Yao, Genghui Li, Qingfu Zhang

IEEE Trans. Cybern., March, 2024

Objective Extraction for Simplifying Many-Objective Solution Sets.

Genghui Li, Zhenkun Wang, Jianyong Sun, Qingfu Zhang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Pareto Improver: Learning Improvement Heuristics for Multi-Objective Route Planning.

Zhi Zheng, Shunyu Yao, Genghui Li, Linxi Han, Zhenkun Wang

IEEE Trans. Intell. Transp. Syst., January, 2024

Nontrivial Traveling Waves of Phage-Bacteria Models in Different Media Types.

Zhenkun Wang, Hao Wang

SIAM J. Appl. Math., 2024

Self-Improved Learning for Scalable Neural Combinatorial Optimization.

Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang

CoRR, 2024

Smooth Tchebycheff Scalarization for Multi-Objective Optimization.

Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang

CoRR, 2024

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

Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang

CoRR, 2024

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret.

Rui Sun, Zhi Zheng, Zhenkun Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution.

Xin Liu, Jianyong Sun, Qingfu Zhang, Zhenkun Wang, Zongben Xu

IEEE Trans. Emerg. Top. Comput. Intell., December, 2023

Differential evolution with an adaptive penalty coefficient mechanism and a search history exploitation mechanism.

Jiaqian Li, Genghui Li, Zhenkun Wang, Laizhong Cui

Expert Syst. Appl., November, 2023

Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis.

Zhenkun Wang, Shuangchun Gui, Xinpeng Ding, Xiaowei Hu, Xiaowei Xu, Xiaomeng Li

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.

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

Medical Image Anal., October, 2023

RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning.

Zhongju Yuan, Genghui Li, Zhenkun Wang, Jianyong Sun, Ran Cheng

IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization.

Genghui Li, Lindong Xie, Zhenkun Wang, Huajun Wang, Maoguo Gong

Inf. Sci., July, 2023

Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization.

Genghui Li, Zhenkun Wang, Maoguo Gong

IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Offline and Online Objective Reduction via Gaussian Mixture Model Clustering.

Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun

IEEE Trans. Evol. Comput., April, 2023

Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms.

Zhenkun Wang, Man-Fai Leung, Hangjun Che, Carlos A. Coello Coello

Memetic Comput., March, 2023

Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization.

Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo

IEEE Trans. Cybern., 2023

Batch Bayesian optimization with adaptive batch acquisition functions via multi-objective optimization.

Jixiang Chen, Fu Luo, Genghui Li, Zhenkun Wang

Swarm Evol. Comput., 2023

Fast SVM classifier for large-scale classification problems.

Huajun Wang, Genghui Li, Zhenkun Wang

Inf. Sci., 2023

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.

Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan

CoRR, 2023

Large Language Model for Multi-objective Evolutionary Optimization.

Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang

CoRR, 2023

DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models.

Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li

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.

Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang

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.

Zhongju Yuan, Zhenkun Wang, Genghui Li

Proceedings of the International Joint Conference on Neural Networks, 2023

Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation.

Yin Wu, Ruihao Zheng, Zhenkun Wang

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization.

Ruihao Zheng, Zhenkun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Evolutionary Competitive Multitasking Optimization.

Genghui Li, Qingfu Zhang, Zhenkun Wang

IEEE Trans. Evol. Comput., 2022

Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning.

Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng

IEEE Trans. Cybern., 2022

Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction.

Wencheng Han, Hao Li, Maoguo Gong, Jianzhao Li, Yiting Liu, Zhenkun Wang

Swarm Evol. Comput., 2022

System-in-package design using multi-task memetic learning and optimization.

Weijing Dai, Zhenkun Wang, Ke Xue

Memetic Comput., 2022

Dynamic multi-objective ensemble of acquisition functions in batch bayesian optimization.

Jixiang Chen, Fu Luo, Zhenkun Wang

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.

Genghui Li, Qingyan Li, Zhenkun Wang

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Stacked Ensemble of Metamodels for Expensive Global Optimization.

Ziliang Miao, Buwei He, Hubocheng Tang, Jixiang Chen, Zhenkun Wang

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.

Weifeng Gao, Genghui Li, Qingfu Zhang, Yuting Luo, Zhenkun Wang

IEEE Trans. Syst. Man Cybern. Syst., 2021

Balancing performance between the decision space and the objective space in multimodal multiobjective optimization.

Qite Yang, Zhenkun Wang, Jianping Luo, Qiang He

Memetic Comput., 2021

Positive opinion maximization in signed social networks.

Qiang He, Lihong Sun, Xingwei Wang, Zhenkun Wang, Min Huang, Bo Yi, Yuantian Wang, Lianbo Ma

Inf. Sci., 2021

Visual enhanced gLSTM for image captioning.

Jing Zhang, Kangkang Li, Zhenkun Wang, Xianwen Zhao, Zhe Wang

Expert Syst. Appl., 2021

Task Distribution Offloading Algorithm Based on DQN for Sustainable Vehicle Edge Network.

Tianyi Feng, Bin Wang, Haitao Zhao, Tangwei Zhang, Jiawen Tang, Zhenkun Wang

Proceedings of the 7th IEEE International Conference on Network Softwarization, 2021

It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions.

Qite Yang, Zhenkun Wang, Hisao Ishibuchi

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D.

Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020

Persistence and Propagation of a PDE and Discrete-Time Map Hybrid Animal Movement Model With Habitat Shift Driven by Climate Change.

Zhenkun Wang, Hao Wang

SIAM J. Appl. Math., 2020

A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem.

Chen Xu, Yiyuan Chai, Sitian Qin, Zhenkun Wang, Jiqiang Feng

Neural Networks, 2020

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

Jianping Luo, Xiongwen Huang, Yun Yang, Xia Li, Zhenkun Wang, Jiqiang Feng

Inf. Sci., 2020

2019

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

Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang

IEEE Trans. Evol. Comput., 2019

On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries.

Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi

IEEE Trans. Evol. Comput., 2019

Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study.

Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang

IEEE Trans. Evol. Comput., 2019

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

Jianping Luo, Abhishek Gupta, Yew-Soon Ong, Zhenkun Wang

IEEE Trans. Cybern., 2019

Image region label refinement using spatial position relation graph.

Jing Zhang, Zhenkun Wang, Yakun Mu, Zhe Wang

Knowl. Based Syst., 2019

2018

Modal and Dynamic Analysis of a Tether for a Nonequatorial Space Elevator.

Zhenkun Wang, Naigang Cui, Youhua Fan, Dun Liu

IEEE Access, 2018

2017

On the use of two reference points in decomposition based multiobjective evolutionary algorithms.

Zhenkun Wang, Qingfu Zhang, Hui Li, Hisao Ishibuchi, Licheng Jiao

Swarm Evol. Comput., 2017

An improved global replacement strategy for MOEA/D on many-objective kanpsack problems.

Xingxing Hao, Jing Liu, Zhenkun Wang

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016

Adaptive Replacement Strategies for MOEA/D.

Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao

IEEE Trans. Cybern., 2016

Discrete particle swarm optimization for high-order graph matching.

Maoguo Gong, Yue Wu, Qing Cai, Wenping Ma, A. Kai Qin, Zhenkun Wang, Licheng Jiao

Inf. Sci., 2016

Improved adaptive global replacement scheme for MOEA/D-AGR.

Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui

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.

Zhenkun Wang, Qingfu Zhang, Hui Li

Proceedings of the 2015 IEEE International Conference on Systems, 2015

A Crisis Mitigation Policy for SLA Profit Maximization in Multitenant Database.

Zhenkun Wang, Yongqing Zheng, Lanju Kong, Zhiyong Chen

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014

A replacement strategy for balancing convergence and diversity in MOEA/D.

Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2009

The Fusion of Remote Sensing Images Based on Lifting Wavelet Transformation.

Wei Zhang, Qin Huang, Zhenkun Wang

Comput. Inf. Sci., 2009