Xihong Fei - Publications, H-index & Citations

Xihong Fei

Anhui University of Technology

7H指数

27论文数

179被引数

收录论文 17

发表时间

Data-Driven Consensus for Markov Jump Singularly Perturbed Multi-Agent Systems: A Novel Parallel Hybrid Learning Scheme 基于数据的马尔可夫跳跃奇异扰动多智能体系统的共识：一种新颖的并行混合学习方案

International Journal of Robust and Nonlinear Control

IF3.2

2026-09-25

PREAI

Qing Yang; Xihong Fei; Jing Wang; Hao Shen

Multi-scale physics-informed reinforcement learning method for bearing fault diagnosis under data scarcity 数据缺乏条件下基于多尺度物理信息强化学习的轴承故障诊断方法

Structural Health Monitoring-An International Journal

IF5.7

2026-09-19

PREAI

Xin Xia; Xihong Fei; Kang Wang; Jing Wang; Lei Jiao; Tian Fang

Physics-inspired graph fusion and reinforcement learning agent for unsupervised cross-domain fault diagnosis 物理启发的图融合与强化学习代理用于无监督跨域故障诊断

Mechanical Systems and Signal Processing

IF8.9

2026-08-31

PREAI

Xin Xia; Xihong Fei; Tian Fang; Zhenyi Xu; Kang Wang; Jing Wang

Multi-view generative synergistic optimization agent for few-shot machinery fault diagnosis under limited labeled data 多视图生成协同优化代理在有限标注数据下的少样本机械故障诊断

Structural Health Monitoring

IF0

2026-03-27

PREAI

Jintian Sun; Xihong Fei; Lei Su; Kang Wang; Zhenyi Xu; Hao Shen

BERTFD: A Two-Stage Multimodal Method for Bearing Fault Diagnosis Using Pre-Trained Language Models BERTFD：一种基于预训练语言模型的轴承故障诊断两阶段多模态方法

IEEE Internet of Things Journal

IF8.9

2026-02-06

PREAI

Xin Xia; Xihong Fei; Jing Wang; Kang Wang; Hao Shen

Unscented Kalman filter neural network with double-layer decomposition algorithm applied to the prediction of current efficiency in aluminum electrolysis processes 基于双层分解算法的Unscented Kalman filter神经网络在铝电解过程电流效率预测中的应用

Engineering Applications of Artificial Intelligence

IF8

2025-09-15

PREAI

Xiaoyan Fang; Xihong Fei; Zhenyi Xu; Lei Su; Jing Wang

2-D Event-triggered Filtering of Markov Jump Roesser Systems Under Hidden Markov Model with Partial Information and Its Application 2-D事件触发滤波：基于部分信息下隐马尔可夫模型中的马尔可夫跳跃Roesser系统的应用

CIRCUITS SYSTEMS AND SIGNAL PROCESSING

IF2

2025-09-01

PREAI

Cui, Peng; Ni, Zhenghao; Fei, Xihong; Li, Feng; Kong, Qingkai

A novel SVD-UKFNN algorithm for predicting current efficiency of aluminum electrolysis

SCIENTIFIC REPORTS

IF3.9

2025-03-17

OAAI

Fang, Xiaoyan; Fei, Xihong; Wang, Kang; Fang, Tian; Chen, Rui

Auxiliary meta-learning strategy for cancer recognition: leveraging external data and optimized feature mapping 癌症识别的辅助元学习策略: 利用外部数据和优化的特征映射

BMC CANCER

IF3.4

2025-02-27

OAAI

Wang, Kang; Fei, Xihong; Su, Lei; Fang, Tian; Shen, Hao

Dynamic event triggering output feedback synchronization for Markov jump neural networks with mode detection information

NEUROCOMPUTING

IF6.5

2025-02-01

PREAI

Fan, Cheng; Jin, Ling; Su, Lei; Fei, Xihong

Event-Triggered Synchronization Control for Markov Jump Neural Networks With Partially Unknown Transition Probabilities

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

IF3.2

2024-12-30

PREAI

Fan, Cheng; Su, Lei; Wang, Kang; Fei, Xihong

Secure Control of Discrete-Time Markov Jump Power Systems Under Hybrid Attacks Based on Mode Detection Information

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

IF4.9

2024-12-01

PREAI

Fan, Cheng; Su, Lei; Fei, Xihong; Shen, Hao

BERT4ST:: Fine-tuning pre-trained large language model for wind power forecasting BERT4ST:: 用于风电功率预测的微调预训练大语言模型

ENERGY CONVERSION AND MANAGEMENT

IF10.9

2024-05-01

PREAI

Lai, Zefeng; Wu, Tangjie; Fei, Xihong; Ling, Qiang

Attention-based global and local spatial-temporal graph convolutional network for vehicle emission prediction

NEUROCOMPUTING

IF6.5

2023-02-01

PREAI

Fei, Xihong; Ling, Qiang

A dual attention-based fusion network for long- and short-term multivariate vehicle exhaust emission prediction

SCIENCE OF THE TOTAL ENVIRONMENT

IF8

2023-02-01

PREAI

Fei, Xihong; Lai, Zefeng; Fang, Yi; Ling, Qiang

Multi-Component Fusion Temporal Networks to Predict Vehicle Exhaust Based on Remote Monitoring Data

IEEE ACCESS

IF3.6

2021-01-01

OAAI

Fei, Xihong; Long, Fei; Li, Feng; Ling, Qiang

Vehicle Exhaust Concentration Estimation Based on an Improved Stacking Model

IEEE ACCESS

IF3.6

2019-01-01

OAAI

Fei, Xihong; Zhang, Qiang; Ling, Qiang

研究方向