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ORCIDJin Xie 0003
Person information
- affiliation: Xidian University, Xi'an, China
Other persons with the same name
- Jin Xie — disambiguation page
- Jin Xie 0001
![[0000-0002-4933-5229]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4933-5229")
— Nanjing University of Science and Technology, Nanjing, China (and 2 more) - Jin Xie 0002 — Zhejiang University, State Key Laboratory of Fluid Power Transmission and Control, Hangzhou, China
- Jin Xie 0004 — Hefei University, Department of Mathematics and Physics, China
- Jin Xie 0005 — Chongqing University, China (and 1 more)
- Jin Xie 0006 — Stanford University, Institute for Computational and Mathematical Engineering, CA, USA
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2020 – today
- 2024
[j29]Lulu Zhang, Weifeng Gao, Jin Xie, Hong Li:
An ordinary differential equation for modeling Halpern fixed-point algorithm. Appl. Math. Lett. 148: 108889 (2024)- [j28]Hong Li, Lixia Bai, Weifeng Gao, Jin Xie, Lingling Huang:
Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks. Expert Syst. Appl. 246: 123186 (2024) - [j27]Baosheng Li, Weifeng Gao, Jin Xie, Maoguo Gong, Ling Wang, Hong Li:
Prototype-Based Decentralized Federated Learning for the Heterogeneous Time-Varying IoT Systems. IEEE Internet Things J. 11(4): 6916-6927 (2024) - [j26]Menghao Tan, Weifeng Gao, Hong Li, Jin Xie, Maoguo Gong:
Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9153-9165 (2024) - [j25]Fuhao Gao, Weifeng Gao, Lingling Huang, Jin Xie, Hong Li, Maoguo Gong:
Evolutionary Multitasking Optimization Enhanced by Geodesic Flow Kernel. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1540-1549 (2024) - [j24]Jiaxi Chen, Jin Xie, Junmin Li, Weisheng Chen:
Human-in-The-Loop Fuzzy Iterative Learning Control of Consensus for Unknown Mixed-Order Nonlinear Multi-Agent Systems. IEEE Trans. Fuzzy Syst. 32(1): 255-265 (2024) - [j23]Weifeng Gao, Menghao Tan, Hong Li, Jin Xie, Xiaoli Gao, Maoguo Gong:
CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - 2023
- [j22]Jin Xie, Sanyang Liu, Jiaxi Chen, Jinping Jia:
Huber loss based distributed robust learning algorithm for random vector functional-link network. Artif. Intell. Rev. 56(8): 8197-8218 (2023) - [j21]Lixia Bai, Hong Li, Weifeng Gao, Jin Xie, Houqiang Wang:
A joint multiobjective optimization of feature selection and classifier design for high-dimensional data classification. Inf. Sci. 626: 457-473 (2023) - [j20]Hong Li, Weifeng Gao, Jin Xie, Gary G. Yen:
Multiobjective bilevel programming model for multilayer perceptron neural networks. Inf. Sci. 642: 119031 (2023) - [j19]Lingling Liu, Weifeng Gao, Hong Li, Jin Xie, Maoguo Gong:
Property of decision variables-inspired location strategy for multiobjective optimization. Swarm Evol. Comput. 77: 101226 (2023) - [j18]Yangfei Yuan, Weifeng Gao, Lingling Huang, Hong Li, Jin Xie:
A Two-Phase Constraint-Handling Technique for Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6194-6203 (2023) - 2022
- [j17]Jiaxi Chen, Zehua Yu, Sanyang Liu, Junmin Li, Jin Xie:
Fully distributed neural control of periodically time-varying parameterized stochastic nonlinear multi-agent systems with hybrid-order dynamics. Appl. Math. Comput. 426: 127117 (2022) - [j16]Jin Xie, San-Yang Liu, Jiaxi Chen:
A Framework for Distributed Semi-supervised Learning Using Single-layer Feedforward Networks. Int. J. Autom. Comput. 19(1): 63-74 (2022) - [j15]Yiming Wang, Weifeng Gao, Maoguo Gong, Hong Li, Jin Xie:
A new two-stage based evolutionary algorithm for solving multi-objective optimization problems. Inf. Sci. 611: 649-659 (2022) - [j14]Fuhao Gao, Weifeng Gao, Lingling Huang, Jin Xie, Maoguo Gong:
An effective knowledge transfer method based on semi-supervised learning for evolutionary optimization. Inf. Sci. 612: 1127-1144 (2022) - [j13]Jin Xie, San Yang Liu, Jiaxi Chen, Weifeng Gao, Hong Li, Ranran Xiong:
A finite time discrete distributed learning algorithm using stochastic configuration network. Inf. Sci. 613: 33-49 (2022) - [j12]Lixia Bai, Hong Li, Weifeng Gao, Jin Xie:
A cooperative genetic algorithm based on extreme learning machine for data classification. Soft Comput. 26(17): 8585-8601 (2022) - [j11]Weifeng Gao, Jiangli Cheng, Maoguo Gong, Hong Li, Jin Xie:
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 818-827 (2022) - 2021
- [c1]Tianqi Huang, Weifeng Gao, Hong Li, Jin Xie:
A Voronoi Neighborhood Based Differential Evolution Algorithm for Multimodal Multi-objective Optimization. CCIS 2021: 128-133 - 2020
- [j10]Jin Xie, Sanyang Liu, Hao Dai, Yue Rong:
Distributed semi-supervised learning algorithms for random vector functional-link networks with distributed data splitting across samples and features. Knowl. Based Syst. 195: 105577 (2020)
2010 – 2019
- 2019
- [j9]Jin Xie, Weisheng Chen, Hao Dai, Sanyang Liu, Wu Ai:
A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network. Neurocomputing 323: 244-255 (2019) - [j8]Jin Xie, Sanyang Liu, Hao Dai:
Manifold regularization based distributed semi-supervised learning algorithm using extreme learning machine over time-varying network. Neurocomputing 355: 24-34 (2019) - [j7]Jin Xie, Weisheng Chen, Hao Dai:
Distributed cooperative learning algorithms using wavelet neural network. Neural Comput. Appl. 31(4): 1007-1021 (2019) - [j6]Jin Xie, Sanyang Liu, Hao Dai:
A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network. Neural Networks 118: 300-309 (2019) - [j5]Jin Xie, Sanyang Liu, Hao Dai:
Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme. Neural Networks 119: 261-272 (2019) - [j4]Hao Dai, Jin Xie, Weisheng Chen:
Event-Triggered Distributed Cooperative Learning Algorithms over Networks via Wavelet Approximation. Neural Process. Lett. 50(1): 669-700 (2019) - 2017
- [j3]Wu Ai, Weisheng Chen, Jin Xie:
Distributed learning for feedforward neural networks with random weights using an event-triggered communication scheme. Neurocomputing 224: 184-194 (2017) - [j2]Wu Ai, Weisheng Chen, Jin Xie:
A general framework for population-based distributed optimization over networks. Inf. Sci. 418: 136-152 (2017) - 2016
- [j1]Wu Ai, Weisheng Chen, Jin Xie:
A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights. Inf. Sci. 373: 404-418 (2016)
Coauthor Index
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