A modified projection method for solving co-coercive variational inequalities. - Lingling Huang; San-Yang Liu; Weifeng Gao (Appl. Math. Comput., 2010)

An improved artificial bee colony algorithm for directing orbits of chaotic systems. - Weifeng Gao; San-Yang Liu; Fei Jiang (Appl. Math. Comput., 2011)

Improved artificial bee colony algorithm for global optimization. - Weifeng Gao; Sanyang Liu (Inf. Process. Lett., 2011)

A modified artificial bee colony algorithm. - Weifeng Gao; San-Yang Liu (Comput. Oper. Res., 2012)

A global best artificial bee colony algorithm for global optimization. - Weifeng Gao; Sanyang Liu; Lingling Huang (J. Comput. Appl. Math., 2012)

A novel artificial bee colony algorithm with Powell's method. - Weifeng Gao; San-Yang Liu; Lingling Huang (Appl. Soft Comput., 2013)

A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning. - Weifeng Gao; San-Yang Liu; Lingling Huang (IEEE Trans. Cybern., 2013)

A novel differential evolution for constrained optimization. - Weifeng Gao; Gary G. Yen; Sanyang Liu (SMC, 2014)

Enhancing artificial bee colony algorithm using more information-based search equations. - Weifeng Gao; San-Yang Liu; Lingling Huang (Inf. Sci., 2014)

A Cluster-Based Differential Evolution With Self-Adaptive Strategy for Multimodal Optimization. - Weifeng Gao; Gary G. Yen; Sanyang Liu (IEEE Trans. Cybern., 2014)

Artificial bee colony algorithm with multiple search strategies. - Weifeng Gao; Lingling Huang; Sanyang Liu; Felix T. S. Chan; Cai Dai; Xian Shan (Appl. Math. Comput., 2015)

Bare bones artificial bee colony algorithm with parameter adaptation and fitness-based neighborhood. - Weifeng Gao; Felix T. S. Chan; Lingling Huang; Sanyang Liu (Inf. Sci., 2015)

Artificial Bee Colony Algorithm Based on Information Learning. - Weifeng Gao; Lingling Huang; Sanyang Liu; Cai Dai (IEEE Trans. Cybern., 2015)

A Dual-Population Differential Evolution With Coevolution for Constrained Optimization. - Weifeng Gao; Gary G. Yen; Sanyang Liu (IEEE Trans. Cybern., 2015)

Enhanced artificial bee colony algorithm through differential evolution. - Weifeng Gao; Lingling Huang; Jue Wang 015; San-Yang Liu; Chuan-dong Qin (Appl. Soft Comput., 2016)

A novel artificial bee colony algorithm with depth-first search framework and elite-guided search equation. - Laizhong Cui; Genghui Li; Qiuzhen Lin; Zhihua Du; Weifeng Gao; Jianyong Chen; Nan Lu (Inf. Sci., 2016)

Boundedness and convergence analysis of weight elimination for cyclic training of neural networks. - Jian Wang 010; Zhenyun Ye; Weifeng Gao; Jacek M. Zurada (Neural Networks, 2016)

Link quality aware channel allocation for multichannel body sensor networks. - Weifeng Gao; Zhiwei Zhao; Geyong Min; Yue Cao 002; Hancong Duan; Lu Liu 001; Yimiao Long; Guangqiang Ying (Pervasive Mob. Comput., 2017)

Multipopulation evolution framework for multifactorial optimization. - Genghui Li; Qingfu Zhang 001; Weifeng Gao (GECCO (Companion), 2018)

Reliable channel allocation for mission oriented low-power wireless networks. - Weifeng Gao; Wan Du; Zhiwei Zhao (INFOCOM Workshops, 2018)

Constrained Optimization by Artificial Bee Colony Framework. - Weifeng Gao; Lingling Huang; Yuting Luo; Zhifang Wei; Sanyang Liu (IEEE Access, 2018)

Speed control of mobile chargers serving wireless rechargeable networks. - Feiyu Chen; Zhiwei Zhao; Geyong Min; Weifeng Gao; Jinjun Chen; Hancong Duan; Po Yang 001 (Future Gener. Comput. Syst., 2018)

Deploying Edge Computing Nodes for Large-Scale IoT: A Diversity Aware Approach. - Zhiwei Zhao; Geyong Min; Weifeng Gao; Yulei Wu; Hancong Duan; Qiang Ni (IEEE Internet Things J., 2018)

An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension. - Zhenhua Li 005; Jingda Deng; Weifeng Gao; Qingfu Zhang 001; Hai-Lin Liu 001 (CEC, 2019)

Towards Energy-Fairness in LoRa Networks. - Weifeng Gao; Wan Du; Zhiwei Zhao; Geyong Min; Mukesh Singhal (ICDCS, 2019)

Towards Fast and Reliable WiFi Authentication by Utilizing Visible Light Diversity. - Zhiwei Zhao; Geyong Min; Yaoyao Pang; Weifeng Gao; Jiamei Lv (SECON, 2019)

Artificial bee colony algorithm based on Parzen window method. - Weifeng Gao; Zhifang Wei; Yuting Luo; Jin Cao (Appl. Soft Comput., 2019)

Fast Authentication and Data Transfer Scheme for Massive NB-IoT Devices in 3GPP 5G Network. - Jin Cao 001; Pu Yu; Maode Ma; Weifeng Gao (IEEE Internet Things J., 2019)

Artificial Bee Colony Algorithm Based on Novel Mechanism for Fuzzy Portfolio Selection. - Weifeng Gao; Hailong Sheng; Jue Wang 015; Shouyang Wang (IEEE Trans. Fuzzy Syst., 2019)

AdapLoRa: Resource Adaptation for Maximizing Network Lifetime in LoRa networks. - Weifeng Gao; Zhiwei Zhao; Geyong Min (ICNP, 2020)

A Modular Three-Phase Photovoltaic Inverter with Elimination of Phase Unbalance and Reduction of Second Harmonic Voltage Ripple. - Xinghua Dang; Shangzhi Pan; Xicai Pan; Weifeng Gao; Kai Ding; Wei Li (IECON, 2020)

Evolutionary algorithm with multiobjective optimization technique for solving nonlinear equation systems. - Weifeng Gao; Yuting Luo; Jingwei Xu 002; Shengqi Zhu 001 (Inf. Sci., 2020)

Multifactorial optimization via explicit multipopulation evolutionary framework. - Genghui Li; Qiuzhen Lin; Weifeng Gao (Inf. Sci., 2020)

An enhanced multi-objective evolutionary optimization algorithm with inverse model. - Zhechen Zhang; Sanyang Liu; Weifeng Gao; Jingwei Xu 002; Shengqi Zhu 001 (Inf. Sci., 2020)

Edge-Computing-Based Channel Allocation for Deadline-Driven IoT Networks. - Weifeng Gao; Zhiwei Zhao; Zhengxin Yu; Geyong Min; Minghang Yang; Wenjie Huang (IEEE Trans. Ind. Informatics, 2020)

Exploiting Link Diversity for Performance-Aware and Repeatable Simulation in Low-Power Wireless Networks. - Zhiwei Zhao; Geyong Min; Wei Dong 001; Xue Liu 001; Weifeng Gao; Tao Gu 001; Minghang Yang (IEEE/ACM Trans. Netw., 2020)

A Voronoi Neighborhood Based Differential Evolution Algorithm for Multimodal Multi-objective Optimization. - Tianqi Huang; Weifeng Gao; Hong Li 007; Jin Xie 003 (CCIS, 2021)

A Selective Ensemble Classifier Using Multiobjective Optimization Based Extreme Learning Machine Algorithm. - Lixia Bai; Hong Li 007; Weifeng Gao (CIS, 2021)

Improved Initialization Method for Metaheuristic Algorithms: A Novel Search Space View. - Qian Li; Yiguang Bai; Weifeng Gao (IEEE Access, 2021)

A Gradient-Based Search Method for Multi-objective Optimization Problems. - Weifeng Gao; Yiming Wang; Lingling Liu; Lingling Huang (Inf. Sci., 2021)

Resource Allocation for Latency-Aware Federated Learning in Industrial Internet of Things. - Weifeng Gao; Zhiwei Zhao; Geyong Min; Qiang Ni; Yuhong Jiang (IEEE Trans. Ind. Informatics, 2021)

Energy-Efficient Industrial Internet of Things: Overview and Open Issues. - Wenliang Mao; Zhiwei Zhao; Zheng Chang 001; Geyong Min; Weifeng Gao (IEEE Trans. Ind. Informatics, 2021)

Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm. - Weifeng Gao; Genghui Li; Qingfu Zhang 001; Yuting Luo; Zhenkun Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

An adaptive framework to select the coordinate systems for evolutionary algorithms. - Weifeng Gao; Qianlong Dang; Maoguo Gong (Appl. Soft Comput., 2022)

An efficient mixture sampling model for gaussian estimation of distribution algorithm. - Qianlong Dang; Weifeng Gao; Maoguo Gong (Inf. Sci., 2022)

Multi-objective multitasking optimization based on positive knowledge transfer mechanism. - Qianlong Dang; Weifeng Gao; Maoguo Gong; Shuai Yang (Inf. Sci., 2022)

An effective knowledge transfer method based on semi-supervised learning for evolutionary optimization. - Fuhao Gao; Weifeng Gao; Lingling Huang; Jin Xie 003; Maoguo Gong (Inf. Sci., 2022)

A decomposition-based evolutionary algorithm using an estimation strategy for multimodal multi-objective optimization. - Weifeng Gao; Wei Xu; Maoguo Gong; Gary G. Yen (Inf. Sci., 2022)

A new two-stage based evolutionary algorithm for solving multi-objective optimization problems. - Yiming Wang; Weifeng Gao; Maoguo Gong; Hong Li 007; Jin Xie 003 (Inf. Sci., 2022)

A finite time discrete distributed learning algorithm using stochastic configuration network. - Jin Xie 003; San Yang Liu; Jiaxi Chen; Weifeng Gao; Hong Li 007; Ranran Xiong (Inf. Sci., 2022)

A cooperative genetic algorithm based on extreme learning machine for data classification. - Lixia Bai; Hong Li 007; Weifeng Gao; Jin Xie 003 (Soft Comput., 2022)

A Three-Level Radial Basis Function Method for Expensive Optimization. - Genghui Li; Qingfu Zhang 001; Qiuzhen Lin; Weifeng Gao (IEEE Trans. Cybern., 2022)

A Penalty-Based Differential Evolution for Multimodal Optimization. - Zhifang Wei; Weifeng Gao; Genghui Li; Qingfu Zhang 001 (IEEE Trans. Cybern., 2022)

Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer. - Weifeng Gao; Jiangli Cheng; Maoguo Gong; Hong Li 007; Jin Xie 003 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Joint Multichannel-Spatial Diversity for Efficient Opportunistic Routing in Low-Power Wireless Networks. - Zhiwei Zhao; Wenliang Mao; Geyong Min; Weifeng Gao (IEEE/ACM Trans. Netw., 2022)

Modeling and Verification of the Biomechanical Characteristics of Human Upper Limb Muscles. - Ting Jiang; Zheng Zhang; Changhua Jiang; Hao Li; Teng Zhang; Zhen Zhang; Xiang Xu; Yueqi An; Weifeng Gao; Chunhui Wang; Jianwei Niu (HCI (14), 2023)

Modeling of Human Elbow Joint Force Based on MVT Test. - Hao Li; Weifeng Gao; Changhua Jiang; Shoupeng Huang; Teng Zhang; Zhen Zhang; Xiang Xu; Yueqi An; Zheng Zhang; Jianwei Niu; Chunhui Wang (HCI (14), 2023)

Multiobjective bilevel programming model for multilayer perceptron neural networks. - Hong Li 007; Weifeng Gao; Jin Xie 003; Gary G. Yen (Inf. Sci., 2023)

History information-based Hill-Valley technique for multimodal optimization problems. - Yu Li 003; Lingling Huang; Weifeng Gao; Zhifang Wei; Tianqi Huang; Jingwei Xu 002; Maoguo Gong (Inf. Sci., 2023)

Solving a New Test Set of Nonlinear Equation Systems by Evolutionary Algorithm. - Weifeng Gao; Yu Li (IEEE Trans. Cybern., 2023)

Dual transfer learning with generative filtering model for multiobjective multitasking optimization. - Qianlong Dang; Weifeng Gao; Maoguo Gong (Memetic Comput., 2023)

Property of decision variables-inspired location strategy for multiobjective optimization. - Lingling Liu; Weifeng Gao; Hong Li 007; Jin Xie 003; Maoguo Gong (Swarm Evol. Comput., 2023)

Solving Expensive Multimodal Optimization Problem by a Decomposition Differential Evolution Algorithm. - Weifeng Gao; Zhifang Wei; Maoguo Gong; Gary G. Yen (IEEE Trans. Cybern., 2023)

A joint multiobjective optimization of feature selection and classifier design for high-dimensional data classification. - Lixia Bai; Hong Li 007; Weifeng Gao; Jin Xie 003; Houqiang Wang (Inf. Sci., 2023)

Towards Energy-Fairness in LoRa Networks. - Zhiwei Zhao; Weifeng Gao; Wan Du; Geyong Min; Wenliang Mao; Mukesh Singhal (IEEE Trans. Mob. Comput., 2023)

A Two-Phase Constraint-Handling Technique for Constrained Optimization. - Yangfei Yuan; Weifeng Gao; Lingling Huang; Hong Li 007; Jin Xie 003 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

An Ensemble Learning Approach Based on Multimodal Differential Evolution for Predicting Remaining Useful Life of Lithium-Ion Batteries. - Jie Ma; Hong Li; Weifeng Gao (ISCID, 2024)

A Joint Optimization Algorithm for Feature Selection and Classifier Design. - Zhihui Li; Hong Li 007; Weifeng Gao (MLNLP, 2024)

Adaptive multi-population artificial bee colony algorithm based on fitness landscape analysis. - Xinyu Zhou; Xiaocui Zhang; Weifeng Gao; Hui Wang; Yong Ma (Appl. Soft Comput., 2024)

Self-optimization wavelet-learning method for predicting nonlinear thermal conductivity of highly heterogeneous materials with randomly hierarchical configurations. - Jiale Linghu; Hao Dong 012; Weifeng Gao; Yufeng Nie 001 (Comput. Phys. Commun., 2024)

Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks. - Hong Li 007; Lixia Bai; Weifeng Gao; Jin Xie 003; Lingling Huang (Expert Syst. Appl., 2024)

Effective transferred knowledge identified by bipartite graph for multiobjective multitasking optimization. - Fuhao Gao; Weifeng Gao; Lingling Huang; Song Zhang; Maoguo Gong; Ling Wang 001 (Knowl. Based Syst., 2024)

Transferring knowledge by budget online learning for multiobjective multitasking optimization. - Fuhao Gao; Lingling Huang; Weifeng Gao; Longyue Li; Shuqi Wang; Maoguo Gong; Ling Wang 001 (Swarm Evol. Comput., 2024)

CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification. - Weifeng Gao; Menghao Tan; Hong Li 007; Jin Xie 003; Xiaoli Gao; Maoguo Gong (IEEE Trans. Geosci. Remote. Sens., 2024)

BiOM: A framework for multimodal multiobjective optimization. - Zhifang Wei; Weifeng Gao; Jingwei Xu 002; Gary G. Yen (Inf. Sci., 2024)

An ordinary differential equation for modeling Halpern fixed-point algorithm. - Lulu Zhang; Weifeng Gao; Jin Xie 003; Hong Li 007 (Appl. Math. Lett., 2024)

Prototype-Based Decentralized Federated Learning for the Heterogeneous Time-Varying IoT Systems. - Baosheng Li; Weifeng Gao; Jin Xie 003; Maoguo Gong; Ling Wang 001; Hong Li 007 (IEEE Internet Things J., 2024)

A Bi-Objective Evolutionary Algorithm for Multimodal Multiobjective Optimization. - Zhifang Wei; Weifeng Gao; Maoguo Gong; Gary G. Yen (IEEE Trans. Evol. Comput., 2024)

Evolutionary Multitasking Optimization Enhanced by Geodesic Flow Kernel. - Fuhao Gao; Weifeng Gao; Lingling Huang; Jin Xie 003; Hong Li 007; Maoguo Gong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration. - Zhengjun Wang; Weifeng Gao; Genghui Li; Zhenkun Wang 001; Maoguo Gong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A distributed individuals based multimodal multi-objective optimization differential evolution algorithm. - Wei Wang; Zhifang Wei; Tianqi Huang; Xiaoli Gao; Weifeng Gao (Memetic Comput., 2024)

Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search. - Menghao Tan; Weifeng Gao; Hong Li 007; Jin Xie 003; Maoguo Gong (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Unified Framework for Federated Semi-Supervised Learning in Heterogeneous IoT Healthcare Systems. - Baosheng Li; Weifeng Gao; Jin Xie 003; Hong Li 007; Maoguo Gong (IEEE Internet Things J., 2024)

Feature selection in high-dimensional classification via an adaptive multifactor evolutionary algorithm with local search. - Zhihui Li; Hong Li 007; Weifeng Gao; Jin Xie 003; Adam Slowik (Appl. Soft Comput., 2025)

Neural architecture search with integrated template-modules for efficient defect detection. - Wanrong Tan; Lingling Huang; Hong Li 007; Menghao Tan; Jin Xie 003; Weifeng Gao (Expert Syst. Appl., 2025)

Higher-order multi-scale physics-informed neural network (HOMS-PINN) method and its convergence analysis for solving elastic problems of authentic composite materials. - Jiale Linghu; Weifeng Gao; Hao Dong 012; Yufeng Nie 001 (J. Comput. Appl. Math., 2025)

A fully decentralized distributed learning algorithm for latency communication networks. - Yutian Wei; Jin Xie 003; Weifeng Gao; Hong Li 007; Ling Wang 001 (Knowl. Based Syst., 2025)

Robust decentralized federated learning for heterogeneous and non-ideal networks. - Baosheng Li; Weifeng Gao; Jin Xie 003; Hong Li 007; Maoguo Gong (Pattern Recognit., 2025)

Federated Multidiscriminators Multigenerators for Heterogeneous Industrial IoT. - Baosheng Li; Weifeng Gao; Jin Xie 003; Maoguo Gong; Ling Wang 001; Hong Li 007 (IEEE Trans. Ind. Informatics, 2025)

Adaptive Multi/Many-Objective Transformation for Constrained Optimization. - Genghui Li; Zhenkun Wang 001; Weifeng Gao; Laizhong Cui; Qingfu Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Customized Evolutionary Expensive Optimization: Efficient Search and Surrogate Strategies for Continuous and Categorical Variables. - Zhenkun Wang 001; Lindong Xie; Genghui Li; Weifeng Gao; Maoguo Gong; Ling Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Decentralized Semantic Federated Learning for Real-Time Public Safety Tasks: Challenges, Methods, and Directions. - Baosheng Li; Weifeng Gao; Zehui Xiong; Jin Xie; Binquan Guo; Miao Du (CoRR, 2025)

Decoupling Constraint: Task Clone-Based Multitasking Optimization for Constrained Multiobjective Optimization. - Genghui Li; Zhenkun Wang 001; Weifeng Gao; Ling Wang 001 (IEEE Trans. Evol. Comput., 2025)

Serving Large Language Models on Huawei CloudMatrix384. - Pengfei Zuo; Huimin Lin; Junbo Deng; Nan Zou; Xingkun Yang; Yingyu Diao; Weifeng Gao; Ke Xu; Zhangyu Chen; Shirui Lu; Zhao Qiu; Peiyang Li; et al. (CoRR, 2025)

An ensemble learning algorithm based on multimodal differential evolution and extreme learning machine. - Jie Ma; Hong Li; Weifeng Gao; Jin Xie (Memetic Comput., 2025)

Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm. - Yifei Sun; Yifei Cao; Ziang Wang 002; Sicheng Hou; Weifeng Gao; Zhi-Hui Zhan (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

SO-PIFRNN: Self-optimization physics-informed Fourier-features randomized neural network for solving partial differential equations. - Jiale Linghu; Weifeng Gao; Hao Dong 012; Yufeng Nie 001 (CoRR, 2025)

Multiobjective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm. - Zhenkun Wang 001; Kangnian Lin; Genghui Li; Weifeng Gao (IEEE Trans. Evol. Comput., 2025)