A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights. - Wu Ai; Weisheng Chen; Jin Xie 003 (Inf. Sci., 2016)

Distributed learning for feedforward neural networks with random weights using an event-triggered communication scheme. - Wu Ai; Weisheng Chen; Jin Xie 003 (Neurocomputing, 2017)

A general framework for population-based distributed optimization over networks. - Wu Ai; Weisheng Chen; Jin Xie 003 (Inf. Sci., 2017)

A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network. - Jin Xie 003; Weisheng Chen; Hao Dai; Sanyang Liu; Wu Ai (Neurocomputing, 2019)

Manifold regularization based distributed semi-supervised learning algorithm using extreme learning machine over time-varying network. - Jin Xie 003; Sanyang Liu; Hao Dai (Neurocomputing, 2019)

Distributed cooperative learning algorithms using wavelet neural network. - Jin Xie 003; Weisheng Chen; Hao Dai (Neural Comput. Appl., 2019)

A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network. - Jin Xie 003; Sanyang Liu; Hao Dai (Neural Networks, 2019)

Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme. - Jin Xie 003; Sanyang Liu; Hao Dai (Neural Networks, 2019)

Event-Triggered Distributed Cooperative Learning Algorithms over Networks via Wavelet Approximation. - Hao Dai; Jin Xie 003; Weisheng Chen (Neural Process. Lett., 2019)

Distributed semi-supervised learning algorithms for random vector functional-link networks with distributed data splitting across samples and features. - Jin Xie 003; Sanyang Liu; Hao Dai; Yue Rong (Knowl. Based Syst., 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)

Fully distributed neural control of periodically time-varying parameterized stochastic nonlinear multi-agent systems with hybrid-order dynamics. - Jiaxi Chen; Zehua Yu; Sanyang Liu; Junmin Li 001; Jin Xie 003 (Appl. Math. Comput., 2022)

A Framework for Distributed Semi-supervised Learning Using Single-layer Feedforward Networks. - Jin Xie 003; San-Yang Liu; Jiaxi Chen (Int. J. Autom. Comput., 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 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)

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)

Huber loss based distributed robust learning algorithm for random vector functional-link network. - Jin Xie 003; Sanyang Liu; Jiaxi Chen; Jinping Jia (Artif. Intell. Rev., 2023)

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

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)

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)

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)

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)

Human-in-The-Loop Fuzzy Iterative Learning Control of Consensus for Unknown Mixed-Order Nonlinear Multi-Agent Systems. - Jiaxi Chen; Jin Xie 003; Junmin Li 001; Weisheng Chen (IEEE Trans. Fuzzy Syst., 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)

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)

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)

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)