Jin Xie

Orcid: 0000-0001-8007-5683

Affiliations:
  • Xidian University, Xi'an, China


According to our database1, Jin Xie authored at least 30 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Evolutionary Multitasking Optimization Enhanced by Geodesic Flow Kernel.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Prototype-Based Decentralized Federated Learning for the Heterogeneous Time-Varying IoT Systems.
IEEE Internet Things J., February, 2024

An ordinary differential equation for modeling Halpern fixed-point algorithm.
Appl. Math. Lett., February, 2024

Human-in-The-Loop Fuzzy Iterative Learning Control of Consensus for Unknown Mixed-Order Nonlinear Multi-Agent Systems.
IEEE Trans. Fuzzy Syst., January, 2024

CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks.
Expert Syst. Appl., 2024

2023
A Two-Phase Constraint-Handling Technique for Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

A joint multiobjective optimization of feature selection and classifier design for high-dimensional data classification.
Inf. Sci., May, 2023

Property of decision variables-inspired location strategy for multiobjective optimization.
Swarm Evol. Comput., March, 2023

Multiobjective bilevel programming model for multilayer perceptron neural networks.
Inf. Sci., 2023

Huber loss based distributed robust learning algorithm for random vector functional-link network.
Artif. Intell. Rev., 2023

2022
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

A cooperative genetic algorithm based on extreme learning machine for data classification.
Soft Comput., 2022

A finite time discrete distributed learning algorithm using stochastic configuration network.
Inf. Sci., 2022

A new two-stage based evolutionary algorithm for solving multi-objective optimization problems.
Inf. Sci., 2022

An effective knowledge transfer method based on semi-supervised learning for evolutionary optimization.
Inf. Sci., 2022

A Framework for Distributed Semi-supervised Learning Using Single-layer Feedforward Networks.
Int. J. Autom. Comput., 2022

Fully distributed neural control of periodically time-varying parameterized stochastic nonlinear multi-agent systems with hybrid-order dynamics.
Appl. Math. Comput., 2022

2021
A Voronoi Neighborhood Based Differential Evolution Algorithm for Multimodal Multi-objective Optimization.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020
Distributed semi-supervised learning algorithms for random vector functional-link networks with distributed data splitting across samples and features.
Knowl. Based Syst., 2020

2019
Event-Triggered Distributed Cooperative Learning Algorithms over Networks via Wavelet Approximation.
Neural Process. Lett., 2019

Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme.
Neural Networks, 2019

A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network.
Neural Networks, 2019

Distributed cooperative learning algorithms using wavelet neural network.
Neural Comput. Appl., 2019

Manifold regularization based distributed semi-supervised learning algorithm using extreme learning machine over time-varying network.
Neurocomputing, 2019

A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network.
Neurocomputing, 2019

2017
A general framework for population-based distributed optimization over networks.
Inf. Sci., 2017

Distributed learning for feedforward neural networks with random weights using an event-triggered communication scheme.
Neurocomputing, 2017

2016
A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights.
Inf. Sci., 2016


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