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ORCIDKe Chen 0022
Person information
- affiliation: Zhengzhou University, School of Electrical and Information Engineering, China
- affiliation (PhD 2021): Shandong University, Jinan, China
Other persons with the same name
- Ke Chen — disambiguation page
- Ke Chen 0001
![[0000-0001-9457-9364]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9457-9364")
— University of Manchester, Department of Computer Science, Manchester, UK (and 1 more) - Ke Chen 0002 — University of Liverpool, UK
- Ke Chen 0003 — Tiangong University, formerly Tianjin Polytechnic University, School of Computer Science and Software Engineering, China (and 1 more)
- Ke Chen 0004 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China (and 3 more)
- Ke Chen 0005 — Zhejiang University, Database Laboratory, China (and 1 more)
- Ke Chen 0006 — Google (and 1 more)
- Ke Chen 0007 — University Perpignan
- Ke Chen 0008 — Xihua University, School of Computer and Software Engineering, Chengdu, China
- Ke Chen 0009 — Shanghai University of Engineering Science, College of Electronic and Electrical Engineering, China
- Ke Chen 0011 — Penn State University, PA, USA (and 1 more)
- Ke Chen 0012 — Huazhong University of Science and Technology, Department of Construction Management, Wuhan, China (and 1 more)
- Ke Chen 0013 — Huazhong University of Science and Technology, Tongji Medical College, Wuhan, China (and 1 more)
- Ke Chen 0014 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Science and Technology on Multi-Spectral Information Processing Laboratory, Wuhan, China
- Ke Chen 0015 — Nanjing University, School of Electronic Science and Engineering, Nanjing, China
- Ke Chen 0016 — Dalian University of Technology, School of Optoelectronic Engineering and Instrumentation Science, Dalian, China
- Ke Chen 0017 — Beijing University of Chemical Technology, College of Mechanical and Electrical Engineering, Beijing, China
- Ke Chen 0018 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- Ke Chen 0019 — University of Hong Kong, Sau Po Centre on Ageing, Hong Kong (and 2 more)
- Ke Chen 0020 — University of Notre Dame, IN, USA
- Ke Chen 0021 — Adobe Research, USA (and 2 more)
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2020 – today
- 2026
[j40]Ying Bi, Mengying Guo, Quan Sui, Jing Liang, Kai Zhang, Ke Chen:
A hybrid method based on linear regression and genetic programming-based symbolic regression for short-term load forecasting. Appl. Soft Comput. 196: 115111 (2026)- [j39]Caitong Yue, Wenhao Wu, Jing Liang, Ying Bi, Kunjie Yu, Ke Chen, Weifeng Guo:
An improved generalized evolutionary algorithm for constrained multimodal multiobjective optimization. Complex Intell. Syst. 12(1) (2026) - [j38]Ke Chen, Kun Liu, Peng Wang, Jing J. Liang, Zhile Yang, Kunjie Yu:
An efficient evolutionary feature selection algorithm with divide-and-conquer strategy for classification. Expert Syst. Appl. 302: 130416 (2026) - [j37]Ke Chen, Feilong Zhou, Fangfang Zhang, Kunjie Yu, Duo Yang:
A multi-channel signal fault diagnosis method based on dynamic weighted data fusion and multi-scale feature enhancement. Expert Syst. Appl. 306: 130747 (2026) - [j36]Dezheng Zhang, Kai Zhang, Kunjie Yu, Jing Liang, Kangjia Qiao, Boyang Qu, Ke Chen, Caitong Yue:
Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking. IEEE Trans. Evol. Comput. 30(2): 688-701 (2026) - [j35]Kunjie Yu, Fan Chen, Mingyuan Yu, Jing Liang, Ke Chen:
Modal Detection Informed Classification Evaluation via Ensemble Networks for Expensive Constrained Multimodal Optimization. IEEE Trans. Neural Networks Learn. Syst. 37(2): 836-850 (2026) - [j34]Kunjie Yu, Yuhan Chai, Fan Chen, Ke Chen, Rui Nie:
A Dual-Surrogate Competition-Assisted Evolutionary Algorithm With Triggered Constraint First Search for Expensive Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. 56(5): 3035-3048 (2026) - 2025
- [j33]Ke Chen, Wenjie Wang, Fangfang Zhang, Jing J. Liang, Kunjie Yu:
Correlation-Guided Particle Swarm Optimization Approach for Feature Selection in Fault Diagnosis. IEEE CAA J. Autom. Sinica 12(11): 2329-2341 (2025) - [j32]Ke Chen, Mingyang Dao, Ying Bi, Jing Liang, Zhenlong Wu, Peng Wang:
A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification. Knowl. Based Syst. 319: 113643 (2025) - [j31]Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang:
Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling. IEEE Trans. Artif. Intell. 6(12): 3232-3247 (2025) - [j30]Kunjie Yu, Xuyang Zhang, Dezheng Zhang, Jing J. Liang, Yumeng Li, Heshan Wang, Ke Chen, Caitong Yue:
Historical Information-Assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization. IEEE Trans. Evol. Comput. 29(5): 1475-1489 (2025) - [j29]Dezheng Zhang, Kunjie Yu, Jing Liang, Kangjia Qiao, Boyang Qu, Ke Chen, Caitong Yue, Ling Wang:
History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 29(6): 2386-2400 (2025) - [j28]Jing J. Liang, Yu-Yang Zhang, Boyang Qu, Ke Chen, Kunjie Yu, Caitong Yue:
A Multiform Framework for Multiobjective Feature Selection in Unbalanced Classification: Combining Oversampling and Cost-Sensitive Learning. IEEE Trans. Syst. Man Cybern. Syst. 55(8): 5717-5729 (2025) - [j27]Kunjie Yu, Fan Chen, Jing J. Liang, Mingyuan Yu, Ke Chen, Caitong Yue, Ying Bi:
Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. 55(8): 5758-5772 (2025) - [c6]Ke Chen, Tianqing Wu, Ying Bi, Jing Liang, Kunjie Yu:
Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis. CEC 2025: 1-8 - 2024
- [j26]Jing Liang, Yuyang Zhang, Ke Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan:
An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification. Sci. China Inf. Sci. 67(2) (2024) - [j25]Xiongyan Yang, Xianfeng Yuan, Lin Dong, Xiaoxue Mei, Ke Chen:
Manifold assistant multi-modal multi-objective differential evolution algorithm and its application in actual rolling bearing fault diagnosis. Eng. Appl. Artif. Intell. 133: 108040 (2024) - [j24]Kangjia Qiao, Zhaolin Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ke Chen, Jing J. Liang:
A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems. Expert Syst. Appl. 238(Part A): 121707 (2024) - [j23]Jing Liang, Yuyang Zhang, Boyang Qu, Ke Chen, Kunjie Yu, Caitong Yue:
A Multiform Optimization Framework for Multiobjective Feature Selection in Classification. IEEE Trans. Evol. Comput. 28(4): 1024-1038 (2024) - [j22]Kunjie Yu, Dezheng Zhang, Jing Liang, Boyang Qu, Mengnan Liu, Ke Chen, Caitong Yue, Ling Wang:
A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(4): 1127-1140 (2024) - [j21]Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen, Boyang Qu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan:
A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification. IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7305-7317 (2024) - [c5]Luyao Zhu, Fangfang Zhang, Mengyuan Feng, Ke Chen, Xiaodong Zhu, Mengjie Zhang:
Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling. CEC 2024: 1-8 - 2023
- [j20]Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen, Boyang Qu, Caitong Yue, Ling Wang:
A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification. Inf. Sci. 648: 119619 (2023) - [j19]Jing J. Liang, Hao Guo, Ke Chen, Kunjie Yu, Caitong Yue, Xia Li:
An improved Kalman particle swarm optimization for modeling and optimizing of boiler combustion characteristics. Robotica 41(4): 1087-1097 (2023) - [j18]Jing J. Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan:
A Survey on Evolutionary Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(2): 201-221 (2023) - [j17]Kunjie Yu, Dezheng Zhang, Jing Liang, Ke Chen, Caitong Yue, Kangjia Qiao, Ling Wang:
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(5): 1398-1412 (2023) - [c4]Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang:
Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. GECCO 2023: 384-392 - 2022
- [j16]Zhaoming Miao, Fengyu Zhou, Xianfeng Yuan, Yingxiang Xia, Ke Chen:
Multi-heterogeneous sensor data fusion method via convolutional neural network for fault diagnosis of wheeled mobile robot. Appl. Soft Comput. 129: 109554 (2022) - [j15]Yaxin Li, Jing J. Liang, Kunjie Yu, Ke Chen, Yinan Guo, Caitong Yue, Leiyu Zhang:
Adaptive local landscape feature vector for problem classification and algorithm selection. Appl. Soft Comput. 131: 109751 (2022) - [j14]Kaitong Zheng, Xianfeng Yuan, Qingyang Xu, Lin Dong, Bingshuo Yan, Ke Chen:
Hybrid particle swarm optimizer with fitness-distance balance and individual self-exploitation strategies for numerical optimization problems. Inf. Sci. 608: 424-452 (2022) - [j13]Meizhen Liu, Fengyu Zhou, Jiakai He, Ke Chen, Yang Zhao, Hongchang Sun:
Self-Attention Networks and Adaptive Support Vector Machine for aspect-level sentiment classification. Soft Comput. 26(18): 9621-9634 (2022) - [j12]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification. IEEE Trans. Cybern. 52(7): 7172-7186 (2022) - [j11]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(3): 446-460 (2022) - [j10]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(5): 1015-1029 (2022) - [c3]Jing Liang, Yingjie Zhang, Caitong Yue, Kunjie Yu, Weifeng Guo, Ke Chen, Hongyu Lin, Boyang Qu:
Application of an Improved Multimodal Multiobjective Algorithm in Feature Selection. ICARM 2022: 367-372 - 2021
- [j9]MeiZhen Liu, Fengyu Zhou, Ke Chen, Yang Zhao:
Co-attention networks based on aspect and context for aspect-level sentiment analysis. Knowl. Based Syst. 217: 106810 (2021) - 2020
- [j8]Zhaoming Miao, Xianfeng Yuan, Fengyu Zhou, Xuanjie Qiu, Yong Song, Ke Chen:
Grey wolf optimizer with an enhanced hierarchy and its application to the wireless sensor network coverage optimization problem. Appl. Soft Comput. 96: 106602 (2020) - [j7]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks. Knowl. Based Syst. 194: 105568 (2020) - [c2]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification. CEC 2020: 1-8
2010 – 2019
- 2019
- [j6]Ke Chen, Fengyu Zhou, Xianfeng Yuan:
Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection. Expert Syst. Appl. 128: 140-156 (2019) - 2018
- [j5]Ke Chen, Fengyu Zhou, Yugang Wang, Lei Yin:
An ameliorated particle swarm optimizer for solving numerical optimization problems. Appl. Soft Comput. 73: 482-496 (2018) - [j4]Ke Chen, Fengyu Zhou, Lei Yin, Shuqian Wang, Yugang Wang, Fang Wan:
A hybrid particle swarm optimizer with sine cosine acceleration coefficients. Inf. Sci. 422: 218-241 (2018) - [j3]Chao Liu, Peifeng Niu, Guoqiang Li, Yunpeng Ma, Weiping Zhang, Ke Chen:
Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems. J. Intell. Manuf. 29(5): 1133-1153 (2018) - [j2]Ke Chen, Fengyu Zhou, Aling Liu:
Chaotic dynamic weight particle swarm optimization for numerical function optimization. Knowl. Based Syst. 139: 23-40 (2018) - [c1]Ke Chen, Fengyu Zhou, Bing Xue:
Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy. Australasian Conference on Artificial Intelligence 2018: 419-431 - 2017
- [j1]Peifeng Niu, Ke Chen, Yunpeng Ma, Xia Li, Aling Liu, Guoqiang Li:
Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm. Knowl. Based Syst. 118: 80-92 (2017)
Coauthor Index
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