Xinjie Wang

Orcid: 0000-0003-1792-4296

Affiliations:
  • East China University of Science and Technology, Shanghai, China


According to our database1, Xinjie Wang authored at least 14 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Adaptive Robust Stochastic Configuration Networks for Near-Infrared Multivariate Analysis.
IEEE Trans. Neural Networks Learn. Syst., August, 2025

A novel synchronous spatio-temporal relationship network for geographical-related time-spatial series forecasting.
Inf. Sci., 2025

Gas dispersion modeling in stereoscopic space with obstacles using a novel spatiotemporal prediction network.
Comput. Chem. Eng., 2025

2024
Learning to Guide Particle Search for Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., September, 2024

A Novel Adaptive Robust NIR Modeling Method Based on Sparse Bayesian Learning.
IEEE Trans. Ind. Informatics, June, 2024

Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023
A Novel Interpretable Ensemble Learning Method for NIR-Based Rapid Characterization of Petroleum Products.
IEEE Trans. Instrum. Meas., 2023

Pattern-Coupled Baseline Correction Method for Near-Infrared Spectroscopy Multivariate Modeling.
IEEE Trans. Instrum. Meas., 2023

2022
Computational Modeling of Structural Synaptic Plasticity in Echo State Networks.
IEEE Trans. Cybern., 2022

2021
Synergies between synaptic and intrinsic plasticity in echo state networks.
Neurocomputing, 2021

Drug-Target Interaction Prediction Based on Multi-Similarity Fusion and Sparse Dual-Graph Regularized Matrix Factorization.
IEEE Access, 2021

2020
Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Gated Recurrent Unit based Echo State Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Echo state networks regulated by local intrinsic plasticity rules for regression.
Neurocomputing, 2019


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