Jin Xie

39 papers Journal 38Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decentralized Federated Learning Over Time-Varying and Heterogeneous Mobile Computing Networks.
IEEE Trans. Mob. Comput.
Baosheng Li, Weifeng Gao, Xiumei Deng, Jin Xie, Zehui Xiong, Marie Siew, Binquan Guo, Shiwen Mao, Zhu Han
2025 J jnl
A fully decentralized distributed learning algorithm for latency communication networks.
Knowl. Based Syst.
Yutian Wei, Jin Xie, Weifeng Gao, Hong Li, Ling Wang
2025 J jnl
An ensemble learning algorithm based on multimodal differential evolution and extreme learning machine.
Memetic Comput.
Jie Ma, Hong Li, Weifeng Gao, Jin Xie
2025 J jnl
Decentralized Semantic Federated Learning for Real-Time Public Safety Tasks: Challenges, Methods, and Directions.
CoRR
Baosheng Li, Weifeng Gao, Zehui Xiong, Jin Xie, Binquan Guo, Miao Du
2025 J jnl
Feature selection in high-dimensional classification via an adaptive multifactor evolutionary algorithm with local search.
Appl. Soft Comput.
Zhihui Li, Hong Li, Weifeng Gao, Jin Xie, Adam Slowik
2025 J jnl
Federated Multidiscriminators Multigenerators for Heterogeneous Industrial IoT.
IEEE Trans. Ind. Informatics
Baosheng Li, Weifeng Gao, Jin Xie, Maoguo Gong, Ling Wang, Hong Li
2025 J jnl
Neural architecture search with integrated template-modules for efficient defect detection.
Expert Syst. Appl.
Wanrong Tan, Lingling Huang, Hong Li, Menghao Tan, Jin Xie, Weifeng Gao
2025 J jnl
Robust decentralized federated learning for heterogeneous and non-ideal networks.
Pattern Recognit.
Baosheng Li, Weifeng Gao, Jin Xie, Hong Li, Maoguo Gong
2024 J jnl
A Unified Framework for Federated Semi-Supervised Learning in Heterogeneous IoT Healthcare Systems.
IEEE Internet Things J.
Baosheng Li, Weifeng Gao, Jin Xie, Hong Li, Maoguo Gong
2024 J jnl
An ordinary differential equation for modeling Halpern fixed-point algorithm.
Appl. Math. Lett.
Lulu Zhang, Weifeng Gao, Jin Xie, Hong Li
2024 J jnl
CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Weifeng Gao, Menghao Tan, Hong Li, Jin Xie, Xiaoli Gao, Maoguo Gong
2024 J jnl
Evolutionary Multitasking Optimization Enhanced by Geodesic Flow Kernel.
IEEE Trans. Emerg. Top. Comput. Intell.
Fuhao Gao, Weifeng Gao, Lingling Huang, Jin Xie, Hong Li, Maoguo Gong
2024 J jnl
Human-in-The-Loop Fuzzy Iterative Learning Control of Consensus for Unknown Mixed-Order Nonlinear Multi-Agent Systems.
IEEE Trans. Fuzzy Syst.
Jiaxi Chen, Jin Xie, Junmin Li, Weisheng Chen
2024 J jnl
Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks.
Expert Syst. Appl.
Hong Li, Lixia Bai, Weifeng Gao, Jin Xie, Lingling Huang
2024 J jnl
Prototype-Based Decentralized Federated Learning for the Heterogeneous Time-Varying IoT Systems.
IEEE Internet Things J.
Baosheng Li, Weifeng Gao, Jin Xie, Maoguo Gong, Ling Wang, Hong Li
2024 J jnl
Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search.
IEEE Trans. Circuits Syst. Video Technol.
Menghao Tan, Weifeng Gao, Hong Li, Jin Xie, Maoguo Gong
2023 J jnl
A Two-Phase Constraint-Handling Technique for Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Yangfei Yuan, Weifeng Gao, Lingling Huang, Hong Li, Jin Xie
2023 J jnl
A joint multiobjective optimization of feature selection and classifier design for high-dimensional data classification.
Inf. Sci.
Lixia Bai, Hong Li, Weifeng Gao, Jin Xie, Houqiang Wang
2023 J jnl
Huber loss based distributed robust learning algorithm for random vector functional-link network.
Artif. Intell. Rev.
Jin Xie, Sanyang Liu, Jiaxi Chen, Jinping Jia
2023 J jnl
Multiobjective bilevel programming model for multilayer perceptron neural networks.
Inf. Sci.
Hong Li, Weifeng Gao, Jin Xie, Gary G. Yen
2023 J jnl
Property of decision variables-inspired location strategy for multiobjective optimization.
Swarm Evol. Comput.
Lingling Liu, Weifeng Gao, Hong Li, Jin Xie, Maoguo Gong
2022 J jnl
A Framework for Distributed Semi-supervised Learning Using Single-layer Feedforward Networks.
Int. J. Autom. Comput.
Jin Xie, San-Yang Liu, Jiaxi Chen
2022 J jnl
A cooperative genetic algorithm based on extreme learning machine for data classification.
Soft Comput.
Lixia Bai, Hong Li, Weifeng Gao, Jin Xie
2022 J jnl
A finite time discrete distributed learning algorithm using stochastic configuration network.
Inf. Sci.
Jin Xie, San Yang Liu, Jiaxi Chen, Weifeng Gao, Hong Li, Ranran Xiong
2022 J jnl
A new two-stage based evolutionary algorithm for solving multi-objective optimization problems.
Inf. Sci.
Yiming Wang, Weifeng Gao, Maoguo Gong, Hong Li, Jin Xie
2022 J jnl
An effective knowledge transfer method based on semi-supervised learning for evolutionary optimization.
Inf. Sci.
Fuhao Gao, Weifeng Gao, Lingling Huang, Jin Xie, Maoguo Gong
2022 J jnl
Fully distributed neural control of periodically time-varying parameterized stochastic nonlinear multi-agent systems with hybrid-order dynamics.
Appl. Math. Comput.
Jiaxi Chen, Zehua Yu, Sanyang Liu, Junmin Li, Jin Xie
2022 J jnl
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer.
IEEE Trans. Emerg. Top. Comput. Intell.
Weifeng Gao, Jiangli Cheng, Maoguo Gong, Hong Li, Jin Xie
2021 — conf
A Voronoi Neighborhood Based Differential Evolution Algorithm for Multimodal Multi-objective Optimization.
CCIS
Tianqi Huang, Weifeng Gao, Hong Li, Jin Xie
2020 J jnl
Distributed semi-supervised learning algorithms for random vector functional-link networks with distributed data splitting across samples and features.
Knowl. Based Syst.
Jin Xie, Sanyang Liu, Hao Dai, Yue Rong
2019 J jnl
A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network.
Neurocomputing
Jin Xie, Weisheng Chen, Hao Dai, Sanyang Liu, Wu Ai
2019 J jnl
A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network.
Neural Networks
Jin Xie, Sanyang Liu, Hao Dai
2019 J jnl
Distributed cooperative learning algorithms using wavelet neural network.
Neural Comput. Appl.
Jin Xie, Weisheng Chen, Hao Dai
2019 J jnl
Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme.
Neural Networks
Jin Xie, Sanyang Liu, Hao Dai
2019 J jnl
Event-Triggered Distributed Cooperative Learning Algorithms over Networks via Wavelet Approximation.
Neural Process. Lett.
Hao Dai, Jin Xie, Weisheng Chen
2019 J jnl
Manifold regularization based distributed semi-supervised learning algorithm using extreme learning machine over time-varying network.
Neurocomputing
Jin Xie, Sanyang Liu, Hao Dai
2017 J jnl
A general framework for population-based distributed optimization over networks.
Inf. Sci.
Wu Ai, Weisheng Chen, Jin Xie
2017 J jnl
Distributed learning for feedforward neural networks with random weights using an event-triggered communication scheme.
Neurocomputing
Wu Ai, Weisheng Chen, Jin Xie
2016 J jnl
A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights.
Inf. Sci.
Wu Ai, Weisheng Chen, Jin Xie