Curriculum Vitae

Focuses on performance time series analysis, statistical modeling, and industrial fault prognostics and health management. Currently serves as Member of the Big Data Committee, Jiangsu Computer Society, and Member of the International Association of Applied Science and Technology. Reviewer for SCI/EI-indexed journals including Big Data and Internet Technology Letters. Has published multiple papers in the areas of performance time series modeling and interpretability, and holds 11 granted patents. Has led several municipal and enterprise-funded research projects, with outcomes successfully deployed in cloud computing monitoring and industrial control anomaly diagnosis scenarios.

Education

2025.09 – Present, Belarusian State University, Mathematical Modeling, Numerical Methods, and Program Complexes
2023.10 – 2025.06, Belarusian State University, Applied Mathematics and Informatics
2020.09 – 2022.06, Suzhou University of Science and Technology, Computer Science and Technology
2017.09 – 2020.06, Nanjing Vocational Institute of Industry Technology, Software Technology

Research Interests

Analyzability theory of performance time series
Industrial time series anomaly detection
Multi-granularity performance indicator monitoring and pattern analysis
Low-sample CNN training and hyperparameter optimization methods

Selected Publications

[J] Song Qingqing, Xia Shaoliang, Wu Zhen. TRLLD: Load Level Detection Algorithm Based on Threshold Recognition for Load Time Series. 2025.
[J] Song Qingqing, Xia Shaoliang, Wu Zhen. Automatic Optimization of Hyperparameters for Deep Convolutional Neural Networks: Grid Search Enhanced with Coordinate Ascent. 2024.
[J] Song Qingqing, Xia Shaoliang. Change-Point Detection Utilizing Normalized Entropy as a Fundamental Metric. 2025.
[J] Song Qingqing, Xia Shaoliang, Wu Zhen. Utilizing Pretrained Convolutional Neural Networks for Classification of Lorenz Plots of RR Intervals. 2025.
[C] He Runhai, Song Qingqing, Zhou Quanhua. Trend-Aligned Feature Correlation: Holistic Feature Relevance Metric on Time Series Data. 2025.
[J] Song Qingqing, Xia Shaoliang. Research on the Effectiveness of Different Outlier Detection Methods in Common Data Distribution Types. 2024.
[C] Song Qingqing, Wu Zhen, Xia Shaoliang. Node Load Rate Calculation Method Based on Database Query Statistics in Load Balancing Strategy, 2024.
[P] Song Qingqing. Database Load Analysis Method for Query-Intensive Data Storage Processing Systems. CN Patent, 2024.

Academic Service

Big Data Committee, Jiangsu Computer Society — Committee members
International Association of Applied Science and Technology — Committee members
Reviewer for Big Data, Internet Technology Letters, EAI Endorsed Transactions on Scalable Information Systems, and other journals