Xiwen Qin

Multiscale deep reservoir computing for predicting chaotic dynamical systems

Yichang Zhan, Xiwen Qin, Yong Li

We propose a Multiscale Deep Reservoir Computing (MSDRC) framework for predicting complex nonlinear dynamical systems. The framework incorporates a k-hop information propagation mechanism into deep reservoir architectures, aligning multi-hop state interactions with the hierarchical organization of sub-reservoirs to represent system dynamics across …

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Emotion recognition of EEG signals based on graph deep forest

Xiwen Qin, Xueteng Cui, Dingxin Xu

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Corrigendum to “Identification and prediction of time-varying parameters in the SIRD model: A TPENN approach for missing longitudinal data” [Biomed. Signal Process. Control 116 (2026) 109619]

Jun Wang, Xianglei Li, Yuxue Gao, Xiwen Qin

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Identification and prediction of time-varying parameters in the SIRD model: A TPENN approach for missing longitudinal data

Jun Wang, Xianglei Li, Yuxue Gao, Xiwen Qin

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Shallow Convolution and Parallel Coarse‐To‐Fine Attention for Brain Signal Classification

Xiwen Qin, Jiayao Wang, Dingxin Xu, Siqi Zhang

ABSTRACT Electroencephalography (EEG) signals, due to their non‐invasiveness, high temporal resolution, and low cost, have demonstrated broad application prospects in fields such as Brain‐Computer Interface (BCI), motor rehabilitation, and emotion recognition. However, the inherently low signal‐to‐noise ratio, non‐stationarity, and high dimensionality of …

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A novel stock trading strategy based on double deep Q-network with sentiment integration

Xiwen Qin, Jiawei Shen, Dingxin Xu, Siqi Zhang

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High performance point-Voxel feature set abstraction with mamba for 3D object detection

Junfeng Ren, Changji Wen, Long Zhang, Hengqiang Su et autres

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Improved generative adversarial network with bald eagle search optimization for missing data imputation

Xiwen Qin, Hongyu Shi, Xiaogang Dong, Siqi Zhang et autres

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WNLRC: enhancing chaos prediction with weighted nonlinear reservoir computing and Bayesian optimization

Xiwen Qin, Yong Li

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Short term wind speed prediction based on CEESMDAN and improved seagull optimization kernel extreme learning machine

Xiwen Qin, Liping Yuan, Xiaogang Dong, Siqi Zhang et autres

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An improved dung beetle optimizer based on Padé approximation strategy for global optimization and feature selection

Tianbao Liu, Lingling Yang, Ting Li, Xiwen Qin

Feature selection is a crucial data processing method used to reduce dataset dimensionality while preserving key information. In this paper, we proposed a multi-strategy enhanced dung beetle optimization algorithm (mDBO) that integrates multiple strategies to effectively address the feature selection problem. First, …

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An improved conditional relevance and weighted redundancy feature selection method for gene expression data

Xiwen Qin, Siqi Zhang, Xiaogang Dong, Hongyu Shi et autres

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