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ORCIDZhenkun Wang 0001
王振坤
Person information
- unicode name: 王振坤
- affiliation: Southern University of Science and Technology, School of System Design and Intelligent Manufacturing, Department of Computer Science and Engineering, Shenzhen, China
- affiliation (2019 - 2020): City University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (2017 - 2019): Nanyang Technological University, College of Engineering, Singapore
- affiliation (PhD 2016): Xidian University, Xi'an, China
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2020 – today
- 2024
[j39]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): 111006 (2024)- [j38]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: 120551 (2024) - [j37]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: 101463 (2024) - [j36]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: 101503 (2024) - [j35]Zhenkun Wang, Yuanyao Chen, Genghui Li, Lindong Xie, Yu Zhang:
Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization. Swarm Evol. Comput. 91: 101700 (2024) - [j34]Zhenkun Wang, Shunyu Yao, Genghui Li, Qingfu Zhang:
Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model. IEEE Trans. Cybern. 54(3): 1984-1996 (2024) - [j33]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): 682-695 (2024) - [j32]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): 1114-1126 (2024) - [j31]Genghui Li, Zhenkun Wang, Jianyong Sun, Qingfu Zhang:
Objective Extraction for Simplifying Many-Objective Solution Sets. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 337-349 (2024) - [j30]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): 2625-2639 (2024) - [j29]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): 1033-1043 (2024) - [j28]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): 1628-1639 (2024) - [c24]Rui Sun, Zhi Zheng, Zhenkun Wang:
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret. AAAI 2024: 20803-20811 - [c23]Yunpeng Ba, Ruihao Zheng, Zhenkun Wang:
Decomposition-Based Memetic Algorithm for Multi-Objective Fleet Size and Mix Vehicle Routing Problem. CEC 2024: 1-8 - [c22]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. ICML 2024 - [c21]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. ICML 2024 - [c20]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. ICML 2024 - [c19]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. IJCAI 2024: 6976-6984 - [c18]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: 1898-1908 - [c17]Shuangchun Gui, Zhenkun Wang:
Tail-Enhanced Representation Learning for Surgical Triplet Recognition. MICCAI (11) 2024: 689-699 - [c16]Kai Li, Kangnian Lin, Ruihao Zheng, Zhenkun Wang:
Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization. PPSN (4) 2024: 3-19 - [c15]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. PPSN (2) 2024: 185-202 - [i18]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 abs/2401.02051 (2024) - [i17]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR abs/2402.19078 (2024) - [i16]Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR abs/2403.19561 (2024) - [i15]Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR abs/2405.01906 (2024) - [i14]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. CoRR abs/2405.12262 (2024) - [i13]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 abs/2405.17272 (2024) - [i12]Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR abs/2405.19650 (2024) - [i11]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 abs/2407.00312 (2024) - [i10]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 abs/2407.10873 (2024) - [i9]Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Zhenkun Wang, Han Zhao, Qingfu Zhang:
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. CoRR abs/2409.02969 (2024) - [i8]Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang:
Multi-objective Evolution of Heuristic Using Large Language Model. CoRR abs/2409.16867 (2024) - 2023
- [j27]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: 120530 (2023) - [j26]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: 423-442 (2023) - [j25]Huajun Wang, Genghui Li, Zhenkun Wang:
Fast SVM classifier for large-scale classification problems. Inf. Sci. 642: 119136 (2023) - [j24]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: 102888 (2023) - [j23]Jixiang Chen, Fu Luo, Genghui Li, Zhenkun Wang:
Batch Bayesian optimization with adaptive batch acquisition functions via multi-objective optimization. Swarm Evol. Comput. 79: 101293 (2023) - [j22]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): 483-496 (2023) - [j21]Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun:
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. IEEE Trans. Evol. Comput. 27(2): 341-354 (2023) - [j20]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): 1010-1024 (2023) - [j19]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): 1527-1538 (2023) - [j18]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): 1605-1620 (2023) - [j17]Genghui Li, Zhenkun Wang, Maoguo Gong:
Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2758-2769 (2023) - [c14]Ruihao Zheng, Zhenkun Wang:
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization. AAAI 2023: 12518-12525 - [c13]Yin Wu, Ruihao Zheng, Zhenkun Wang:
Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation. GECCO 2023: 768-776 - [c12]Zhongju Yuan, Zhenkun Wang, Genghui Li:
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation. IJCNN 2023: 1-8 - [c11]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS 2023 - [c10]Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li:
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models. STACOM@MICCAI 2023: 380-389 - [i7]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 abs/2302.06294 (2023) - [i6]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR abs/2310.07985 (2023) - [i5]Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Large Language Model for Multi-objective Evolutionary Optimization. CoRR abs/2310.12541 (2023) - [i4]Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li:
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models. CoRR abs/2312.04853 (2023) - 2022
- [j16]Weijing Dai, Zhenkun Wang, Ke Xue:
System-in-package design using multi-task memetic learning and optimization. Memetic Comput. 14(1): 45-59 (2022) - [j15]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: 101153 (2022) - [j14]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): 8326-8339 (2022) - [j13]Genghui Li, Qingfu Zhang, Zhenkun Wang:
Evolutionary Competitive Multitasking Optimization. IEEE Trans. Evol. Comput. 26(2): 278-289 (2022) - [c9]Ziliang Miao, Buwei He, Hubocheng Tang, Jixiang Chen, Zhenkun Wang:
Stacked Ensemble of Metamodels for Expensive Global Optimization. CCIS 2022: 538-542 - [c8]Genghui Li, Qingyan Li, Zhenkun Wang:
Adaptive Differential Evolution Algorithm with Multiple Gaussian Learning Models. CICAI (3) 2022: 325-336 - [c7]Jixiang Chen, Fu Luo, Zhenkun Wang:
Dynamic multi-objective ensemble of acquisition functions in batch bayesian optimization. GECCO Companion 2022: 479-482 - [i3]Jixiang Chen, Fu Luo, Zhenkun Wang:
Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian Optimization. CoRR abs/2206.11118 (2022) - [i2]Ruihao Zheng, Zhenkun Wang:
A Generalized Scalarization Method for Evolutionary Multi-objective Optimization. CoRR abs/2212.01545 (2022) - [i1]Zhongju Yuan, Zhenkun Wang, Genghui Li:
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation. CoRR abs/2212.02560 (2022) - 2021
- [j12]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: 34-49 (2021) - [j11]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): 31-47 (2021) - [j10]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): 5652-5663 (2021) - [c6]Qite Yang, Zhenkun Wang, Hisao Ishibuchi:
It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions. EMO 2021: 3-14 - [c5]Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang:
On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. EMO 2021: 413-423 - 2020
- [j9]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: 166-202 (2020) - [j8]Chen Xu, Yiyuan Chai, Sitian Qin, Zhenkun Wang, Jiqiang Feng:
A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem. Neural Networks 124: 180-192 (2020)
2010 – 2019
- 2019
- [j7]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): 1708-1721 (2019) - [j6]Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi:
On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries. IEEE Trans. Evol. Comput. 23(2): 217-231 (2019) - [j5]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): 556-571 (2019) - [j4]Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang:
Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Trans. Evol. Comput. 23(5): 733-747 (2019) - 2017
- [j3]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: 89-102 (2017) - [c4]Xingxing Hao, Jing Liu, Zhenkun Wang:
An improved global replacement strategy for MOEA/D on many-objective kanpsack problems. CASE 2017: 624-629 - 2016
- [j2]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: 158-171 (2016) - [j1]Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao:
Adaptive Replacement Strategies for MOEA/D. IEEE Trans. Cybern. 46(2): 474-486 (2016) - [c3]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: 2153-2160 - 2015
- [c2]Zhenkun Wang, Qingfu Zhang, Hui Li:
Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. SMC 2015: 2849-2854 - 2014
- [c1]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: 2132-2139
Coauthor Index
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