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Kai Jia

nanyang normal university

H指数:5

被引数:67

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Time-to-aging-failure prediction of software systems via multi-scale spatio-temporal graph learning and frequency-domain transformer

通过多尺度时空图学习和频域Transformer的软件系统老化失效时间预测

Journal of Systems and Software

IF4.1

2026-08-270

PRE

Aging-Related Bug Prediction Based on Multi-View Graph Feature Learning and Graph-Transformer

基于多视图图特征学习和图Transformer的年龄相关缺陷预测

IEEE Transactions on Software Engineering

IF5.6

2025-10-080

PRE

PM2.5 Concentration Prediction in the Cities of China Using Multi-Scale Feature Learning Networks and Transformer Framework

基于多尺度特征学习网络和Transformer框架的中国城市PM2.5浓度预测

Sustainability 2025, Vol. 17, Page 8891

IF3.3

2025-10-060

OAAI

PMTT: Parallel multi-scale temporal convolution network and transformer for predicting the time to aging failure of software systems☆

JOURNAL OF SYSTEMS AND SOFTWARE

IF4.1

2024-11-010

PRE

Software Aging Prediction for Cloud Services Using a Gate Recurrent Unit Neural Network Model Based on Time Series Decomposition

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING

IF5.4

2023-07-017

PRE

Cross-Project Aging-Related Bug Prediction Based on Transfer Learning and Class Imbalance Learning

基于迁移学习和类别不平衡学习的跨项目老化相关缺陷预测

IEEE Transactions on Dependable and Secure Computing

IF7.5

0

PRE