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ORCIDJing J. Liang
Jane-Jing Liang – Jing Liang 0005 – 梁静
Person information
- unicode name: 梁静
- affiliation: Zhengzhou University, School of Electrical Engineering, China
- affiliation (PhD 2009): Nanyang Technological University, Singapore
Other persons with the same name
- Jing Liang — disambiguation page
- Jing Liang 0001 — Silicon Labs. Inc., Austin, TX, USA (and 2 more)
- Jing Liang 0002
![[0000-0002-0860-6563]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0860-6563")
— University of Electronic Science and Technology, College of Electronic Engineering, Chengdu, China (and 2 more) - Jing Liang 0003 — Hong Kong University of Science and Technology, Department of Physics, Hong Kong
- Jing Liang 0004 — Chinese Academy of Sciences, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biobased Materials, China
- Jing Liang 0006 — University of Maryland, Department of Computer Science, College Park, MD, USA (and 2 more)
- Jing Liang 0007 — Shanghai Jiao Tong University, MoE Key Lab of Artificial Intelligence, China
- Jing Liang 0008 (aka: Joleen Liang) — Macau University of Science and Technology, Macao, China (and 1 more)
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2020 – today
- 2025
[j119]Pengwei Wen, Bolin Wang, Boyang Qu, Sheng Zhang, Haiquan Zhao, Jing J. Liang:
Robust Bias-Compensated CR-NSAF Algorithm: Design and Performance Analysis. IEEE Trans. Syst. Man Cybern. Syst. 55(1): 674-684 (2025)- 2024
- [j118]Yanting Li, Junwei Jin, Hongwei Tao, Yang Xiao, Jing Liang, C. L. Philip Chen:
Complemented subspace-based weighted collaborative representation model for imbalanced learning. Appl. Soft Comput. 153: 111319 (2024) - [j117]Yanting Li, Junwei Jin, Yun Geng, Yang Xiao, Jing Liang, C. L. Philip Chen:
Discriminative elastic-net broad learning systems for visual classification. Appl. Soft Comput. 155: 111445 (2024) - [j116]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) - [j115]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) - [j114]Bin Wu, Xun Su, Jing J. Liang, Zhongchuan Sun, Lihong Zhong, Yangdong Ye:
Graph gating-mixer for sequential recommendation. Expert Syst. Appl. 238(Part E): 122060 (2024) - [j113]Yanting Li, Shuai Wang, Junwei Jin, Fubao Zhu, Liang Zhao, Jing Liang, C. L. Philip Chen:
Imbalanced complemented subspace representation with adaptive weight learning. Expert Syst. Appl. 249: 123555 (2024) - [j112]Zhengyu Zhu, Ning Zhou, Zixuan Wang, Jing Liang, Zhongyong Wang:
MSGNet: A Multi-Feature Lightweight Learning Network for Automatic Modulation Recognition. IEEE Commun. Lett. 28(11): 2553-2557 (2024) - [j111]Jing Liang, Hongyu Lin, Caitong Yue, Ponnuthurai Nagaratnam Suganthan, Yaonan Wang:
Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization. IEEE CAA J. Autom. Sinica 11(6): 1458-1475 (2024) - [j110]Kangjia Qiao, Jing J. Liang, Kunjie Yu, Xuanxuan Ban, Caitong Yue, Boyang Qu, Ponnuthurai Nagaratnam Suganthan:
Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems. IEEE CAA J. Autom. Sinica 11(8): 1819-1835 (2024) - [j109]Yaxin Li, Jing Liang, Caitong Yue, Kunjie Yu, Xuanxuan Ban, Peng Chen:
Collaborative resource allocation-based differential evolution for solving numerical optimization problems. Inf. Sci. 660: 120104 (2024) - [j108]Mingyuan Yu, Zhou Wu, Jing Liang, Caitong Yue:
Surrogate-assisted PSO with archive-based neighborhood search for medium-dimensional expensive multi-objective problems. Inf. Sci. 666: 120405 (2024) - [j107]Kangjia Qiao, Jing Liang, Weifeng Guo, Zhuo Hu, Kunjie Yu, Ponnuthurai N. Suganthan:
Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer. Inf. Sci. 679: 121033 (2024) - [j106]Kangjia Qiao, Jing Liang, Kunjie Yu, Weifeng Guo, Caitong Yue, Boyang Qu, Ponnuthurai N. Suganthan:
Benchmark problems for large-scale constrained multi-objective optimization with baseline results. Swarm Evol. Comput. 86: 101504 (2024) - [j105]Kunjie Yu, Lingjun Wang, Jing Liang, Heshan Wang, Kangjia Qiao, Tianye Liang:
Constraint subsets-based evolutionary multitasking for constrained multiobjective optimization. Swarm Evol. Comput. 86: 101531 (2024) - [j104]Jing Liang, Xudong Sui, Caitong Yue, Mingyuan Yu, Guang Li, Mengmeng Li:
Multimodal multiobjective differential evolution algorithm based on enhanced decision space search. Swarm Evol. Comput. 90: 101682 (2024) - [j103]Peng Chen, Zhimeng Li, Kangjia Qiao, Ponnuthurai N. Suganthan, Xuanxuan Ban, Kunjie Yu, Caitong Yue, Jing Liang:
An archive-assisted multi-modal multi-objective evolutionary algorithm. Swarm Evol. Comput. 91: 101738 (2024) - [j102]Jinzhu Peng, Haijing Wang, Shuai Ding, Jing J. Liang, Yaonan Wang:
Robust High-Order Control Barrier Functions-Based Optimal Control for Constrained Nonlinear Systems With Safety-Stability Perspectives. IEEE Trans Autom. Sci. Eng. 21(4): 4948-4958 (2024) - [j101]Kangjia Qiao, Jing Liang, Kunjie Yu, Caitong Yue, Hongyu Lin, Dezheng Zhang, Boyang Qu:
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm. IEEE Trans. Evol. Comput. 28(4): 965-979 (2024) - [j100]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) - [j99]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) - [j98]Jane-Jing Liang, Zhuo Hu, Zong-Wei Li, Kangjia Qiao, Weifeng Guo:
Multiobjective Optimization-Based Network Control Principles for Identifying Personalized Drug Targets With Cancer. IEEE Trans. Evol. Comput. 28(5): 1322-1335 (2024) - [j97]Ying Bi, Jing J. Liang, Bing Xue, Mengjie Zhang:
A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification. IEEE Trans. Evol. Comput. 28(5): 1366-1380 (2024) - [j96]Guoyu Chen, Yinan Guo, Yong Wang, Jing J. Liang, Dunwei Gong, Shengxiang Yang:
Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm. IEEE Trans. Evol. Comput. 28(5): 1381-1395 (2024) - [j95]Jing J. Liang, Zexuan Yang, Ying Bi, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang:
A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j94]Tianlei Ma, Qi Ma, Zhen Yang, Jing J. Liang, Jun Fu, Yu Dou, Yanan Ku, Usman Ahmad, Liangqiong Qu:
MCDNet: An Infrared Small Target Detection Network Using Multi-Criteria Decision and Adaptive Labeling Strategy. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j93]Tianlei Ma, Hao Wang, Jing J. Liang, Jinzhu Peng, Qi Ma, Zhiqiang Kai:
MSMA-Net: An Infrared Small Target Detection Network by Multiscale Super-Resolution Enhancement and Multilevel Attention Fusion. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [j92]Yanqi Wei, Jikai Si, Rui Nie, Peixin Wang, Shuai Xu, Chun Gan, Jing J. Liang:
Unified Analytical Modeling of Armature Magnetic Field of Slotless PM Motor With Equidirectional Toroidal Winding. IEEE Trans. Ind. Electron. 71(9): 11206-11216 (2024) - [j91]Zhengyu Zhu, Jiaxue Li, Zheng Chu, Jing J. Liang, Hehao Niu, De Mi, Cheng Yin, Peijia Liu:
Active Reconfigurable Intelligent Surface Enhanced Internet of Medical Things. IEEE J. Biomed. Health Informatics 28(7): 3831-3840 (2024) - [j90]Junwei Jin, Biao Geng, Yanting Li, Jing Liang, Yang Xiao, C. L. Philip Chen:
Flexible Label-Induced Manifold Broad Learning System for Multiclass Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16076-16090 (2024) - [j89]Quan Sui, Jingyu Zhang, Le Sun, Jing J. Liang, Fanrong Wei, Xiangning Lin:
Optimal Scheduling of Mobile Energy Storage Capable of Variable Speed Energy Transmission. IEEE Trans. Smart Grid 15(3): 2710-2722 (2024) - [j88]Kangjia Qiao, Kunjie Yu, Caitong Yue, Boyang Qu, Mengnan Liu, Jing J. Liang:
A Cooperative Multistep Mutation Strategy for Multiobjective Optimization Problems With Deceptive Constraints. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6670-6682 (2024) - [j87]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) - [c77]Peng Chen, Jing J. Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban:
A Two-Stage Evolutionary Framework for Multi-Objective Optimization. CEC 2024: 1-7 - [c76]Hongyu Lin, Jing J. Liang, Caitong Yue, Yaonan Wang:
A Niching-Based Reproduction and Preselection-Based Multiobjective Differential Evolution for Multimodal Multiobjective Optimization. CEC 2024: 1-8 - [c75]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. CEC 2024: 1-8 - [c74]Caitong Yue, Liming Liu, Jing Liang, Gongping Li, Bi Ying, Mingyuan Yu:
Multimodal Multi-Objective Flexible Job Shop Scheduling: A Preliminary Study. CEC 2024: 1-8 - [c73]Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang:
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. GECCO Companion 2024: 555-558 - [c72]Yaxin Li, Li Yan, Kunjie Yu, Jing Liang, Boyang Qu:
A Joint Prediction Strategy Based on Multiple Feature Points for Dynamic Multi-objective Optimization. ICSI (1) 2024: 403-417 - [i2]Peng Chen, Jing Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban:
A Two-stage Evolutionary Framework For Multi-objective Optimization. CoRR abs/2407.06536 (2024) - 2023
- [j86]Li Yan, Zhipeng Zhang, Jing Liang, Boyang Qu, Kunjie Yu, Kongyuan Wang:
ASMEvoNAS: Adaptive segmented multi-objective evolutionary network architecture search. Appl. Soft Comput. 146: 110639 (2023) - [j85]Zhou Wu, Mingyuan Yu, Jing Liang:
Parameter optimization of energy-efficient antenna system using period-based memetic algorithm. Expert Syst. Appl. 214: 119131 (2023) - [j84]Kangjia Qiao, Jing Liang, Zhongyao Liu, Kunjie Yu, Caitong Yue, Boyang Qu:
Evolutionary Multitasking with Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 10(10): 1951-1964 (2023) - [j83]Jing J. Liang, Ke Li, Kunjie Yu, Caitong Yue, Yaxin Li, Hui Song:
A Novel Differential Evolution Algorithm Based on Local Fitness Landscape Information for Optimization Problems. IEICE Trans. Inf. Syst. 106(5): 601-616 (2023) - [j82]Yaxin Li, Jing Liang, Caitong Yue, Kunjie Yu, Hao Guo:
An incremental random walk algorithm for sampling continuous fitness landscapes. Neurocomputing 553: 126549 (2023) - [j81]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Inf. Sci. 626: 586-606 (2023) - [j80]Yanting Li, Junwei Jin, Jiangtao Ma, Fubao Zhu, Baohua Jin, Jing Liang, C. L. Philip Chen:
Imbalanced least squares regression with adaptive weight learning. Inf. Sci. 648: 119541 (2023) - [j79]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) - [j78]Ying Guo, Jinzhu Peng, Shuai Ding, Jing Liang, Yaonan Wang:
Fuzzy-based variable impedance control of uncertain robot manipulator in the flexible environment: A nonlinear force contact model-based approach. J. Intell. Fuzzy Syst. 45(6): 10227-10241 (2023) - [j77]Jing Liang, Xuanxuan Ban, Kunjie Yu, Kangjia Qiao, Boyang Qu:
Corrigendum to "Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism" [Knowl.-Based Syst. (2022) 109105]. Knowl. Based Syst. 259: 110076 (2023) - [j76]Heshan Wang, Yiping Zhang, Jing Liang, Lili Liu:
DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction. Neural Networks 157: 240-256 (2023) - [j75]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Feature clustering-Assisted feature selection with differential evolution. Pattern Recognit. 140: 109523 (2023) - [j74]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) - [j73]Li Yan, Wenlong Qi, A. Kai Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang:
Manifold clustering-based prediction for dynamic multiobjective optimization. Swarm Evol. Comput. 77: 101254 (2023) - [j72]Jing J. Liang, Leiyu Zhang, Kunjie Yu, Boyang Qu, Fuxing Shang, Kangjia Qiao:
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization. Swarm Evol. Comput. 83: 101402 (2023) - [j71]Yinan Guo, Mingyi Huang, Guoyu Chen, Dunwei Gong, Jing J. Liang, Zekuan Yu:
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification. Swarm Evol. Comput. 83: 101420 (2023) - [j70]Jing J. Liang, Kangjia Qiao, Kunjie Yu, Boyang Qu, Caitong Yue, Weifeng Guo, Ling Wang:
Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53(6): 3873-3886 (2023) - [j69]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Multiobjective Differential Evolution for Feature Selection in Classification. IEEE Trans. Cybern. 53(7): 4579-4593 (2023) - [j68]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Differential Evolution With Duplication Analysis for Feature Selection in Classification. IEEE Trans. Cybern. 53(10): 6676-6689 (2023) - [j67]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) - [j66]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. IEEE Trans. Evol. Comput. 27(2): 296-310 (2023) - [j65]Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue, Hongyu Lin, Kay Chen Tan:
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(3): 642-656 (2023) - [j64]Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Caitong Yue, Xuanxuan Ban:
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 27(4): 949-963 (2023) - [j63]Jing Liang, Hongyu Lin, Caitong Yue, Kunjie Yu, Ying Guo, Kangjia Qiao:
Multiobjective Differential Evolution With Speciation for Constrained Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(4): 1115-1129 (2023) - [j62]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) - [j61]Yinan Guo, Guoyu Chen, Min Jiang, Dunwei Gong, Jing Liang:
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(6): 1750-1764 (2023) - [j60]Li Yan, Wenlong Qi, Jing Liang, Boyang Qu, Kunjie Yu, Caitong Yue, Xuzhao Chai:
Interindividual Correlation and Dimension-Based Dual Learning for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(6): 1780-1793 (2023) - [j59]Kangjia Qiao, Jing Liang, Kunjie Yu, Minghui Wang, Boyang Qu, Caitong Yue, Yinan Guo:
A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1098-1112 (2023) - [j58]Tianlei Ma, Zhen Yang, Yi-Fan Song, Jing J. Liang, Heshan Wang:
DMEF-Net: Lightweight Infrared Dim Small Target Detection Network for Limited Samples. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j57]Jikai Si, Yanqi Wei, Rui Nie, Jing J. Liang, Chun Gan, Yihua Hu:
Analytical Modeling of Slotless Axial Flux Permanent Magnet Motor With Equidirectional Toroidal Winding. IEEE Trans. Ind. Electron. 70(10): 10420-10430 (2023) - [j56]Shuyan Zhang, Tailong Yang, Jing J. Liang, Caitong Yue:
A Novel Adaptive Bandit-Based Selection Hyper-Heuristic for Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7693-7706 (2023) - [j55]Zhengyu Zhu, Zheng Li, Zheng Chu, Qingqing Wu, Jing J. Liang, Yunlu Xiao, Peijia Liu, Inkyu Lee:
Intelligent Reflecting Surface-Assisted Wireless Powered Heterogeneous Networks. IEEE Trans. Wirel. Commun. 22(12): 9881-9892 (2023) - [i1]Jing Liang, Zhuo Hu, Zong-Wei Li, Kangjia Qiao, Weifeng Guo:
Multi-objective optimization based network control principles for identifying personalized drug targets with cancer. CoRR abs/2306.13349 (2023) - 2022
- [j54]Boyang Qu, Guosen Li, Li Yan, Jing Liang, Caitong Yue, Kunjie Yu, Oscar D. Crisalle:
A grid-guided particle swarm optimizer for multimodal multi-objective problems. Appl. Soft Comput. 117: 108381 (2022) - [j53]Yi Hu, Jie Wang, Jing Liang, Yanli Wang, Usman Ashraf, Caitong Yue, Kunjie Yu:
A two-archive model based evolutionary algorithm for multimodal multi-objective optimization problems. Appl. Soft Comput. 119: 108606 (2022) - [j52]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) - [j51]Yaxin Li, Kunjie Yu, Jing J. Liang, Caitong Yue, Kangjia Qiao:
A landscape-aware particle swarm optimization for parameter identification of photovoltaic models. Appl. Soft Comput. 131: 109793 (2022) - [j50]Jing J. Liang, Zong-Wei Li, Cai-Tong Yue, Zhuo Hu, Han Cheng, Zexian Liu, Weifeng Guo:
Multi-modal optimization to identify personalized biomarkers for disease prediction of individual patients with cancer. Briefings Bioinform. 23(5) (2022) - [j49]Jing Liang, Boyang Qu, Baolei Li, Kunjie Yu, Caitong Yue:
Locating multiple roots of nonlinear equation systems via multi-strategy optimization algorithm with sequence quadratic program. Sci. China Inf. Sci. 65(7): 1-3 (2022) - [j48]Kangjia Qiao, Jing Liang, Boyang Qu, Kunjie Yu, Caitong Yue, Hui Song:
Differential Evolution with Level-Based Learning Mechanism. Complex Syst. Model. Simul. 2(1): 35-58 (2022) - [j47]Guang Li, Jie Wang, Jing J. Liang, Caitong Yue, Tai-Shan Lou:
Parameter optimisation of sliding window algorithm based on ensemble multi-objective evolutionary computation. Int. J. Bio Inspired Comput. 19(4): 228-237 (2022) - [j46]Kangjia Qiao, Jing Liang, Kunjie Yu, Minghua Yuan, Boyang Qu, Caitong Yue:
Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization. Knowl. Based Syst. 235: 107653 (2022) - [j45]Mingyuan Yu, Jing Liang, Zhou Wu, Zhile Yang:
A twofold infill criterion-driven heterogeneous ensemble surrogate-assisted evolutionary algorithm for computationally expensive problems. Knowl. Based Syst. 236: 107747 (2022) - [j44]Jing Liang, Xuanxuan Ban, Kunjie Yu, Kangjia Qiao, Boyang Qu:
Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism. Knowl. Based Syst. 250: 109105 (2022) - [j43]Junwei Jin, Zhenhao Qin, Dengxiu Yu, Yanting Li, Jing Liang, C. L. Philip Chen:
Regularized discriminative broad learning system for image classification. Knowl. Based Syst. 251: 109306 (2022) - [j42]Mingyuan Yu, Jing Liang, Kai Zhao, Zhou Wu:
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems. Swarm Evol. Comput. 68: 100972 (2022) - [j41]Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue:
An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 26(2): 263-277 (2022) - [j40]Kunjie Yu, Jing Liang, Boyang Qu, Yong Luo, Caitong Yue:
Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 2954-2965 (2022) - [c71]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. AI 2022: 279-293 - [c70]Jing Liang, Junting Yang, Caitong Yue, Gongping Li, Kunjie Yu, Boyang Qu:
A Multimodal Multiobjective Genetic Algorithm for Feature Selection. CEC 2022: 1-8 - [c69]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
- [j39]Jing Liang, Guanlin Chen, Boyang Qu, Caitong Yue, Kunjie Yu, Kangjia Qiao:
Niche-based cooperative co-evolutionary ensemble neural network for classification. Appl. Soft Comput. 113(Part): 107951 (2021) - [j38]Jing Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao:
Differential evolution with rankings-based fitness function for constrained optimization problems. Appl. Soft Comput. 113(Part): 108016 (2021) - [j37]Guang Li, Jing Liang, Caitong Yue:
Research on the Fastest Detection Method for Weak Trends under Noise Interference. Entropy 23(8): 1093 (2021) - [j36]Boyang Qu, Qian Zhou, Yongsheng Zhu, Jing Liang, Caitong Yue, Yuechao Jiao, Li Yan, Ponnuthurai Nagaratnam Suganthan:
An improved brain storm optimisation algorithm for energy-efficient train operation problem. Int. J. Bio Inspired Comput. 17(4): 236-245 (2021) - [j35]Yan-li Wang, Bo-Yang Qu, Jing Liang, Yi Hu, Yunpeng Wei:
Research on the ensemble feature selection algorithm based on multimodal optimisation techniques. Int. J. Bio Inspired Comput. 18(1): 49-58 (2021) - [j34]Jing Liang, Yunpeng Wei, Boyang Qu, Caitong Yue, Hui Song:
Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification. Nat. Comput. 20(1): 77-87 (2021) - [j33]Weifeng Guo, Xiangtian Yu, Qianqian Shi, Jing Liang, Shao-Wu Zhang, Tao Zeng:
Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. PLoS Comput. Biol. 17(5) (2021) - [j32]Jing Liang, Kangjia Qiao, Caitong Yue, Kunjie Yu, Boyang Qu, Ruohao Xu, Zhimeng Li, Yi Hu:
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems. Swarm Evol. Comput. 60: 100788 (2021) - [j31]Kunjie Yu, Jing Liang, Boyang Qu, Caitong Yue:
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization. Swarm Evol. Comput. 60: 100799 (2021) - [j30]