PhD Researcher, Belarusian State University | Engineer, South China Institute of Frontier Science (Guangdong)
Focused on mathematical modeling, numerical analysis, and industrial software system development. Core research centers on performance time series, exploring theoretical characterization and engineering applications of non-stationary stochastic processes.

Collaboration and academic exchange may be initiated via email.

Recent Research

  1. OS-Metrics: A Performance Time Series (PTS) Dataset for Anomaly Detection and Change Point DetectionDataset Mendeley Data·Song, Q.
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  2. Brain Cancer MRI Classification Using Convolutional Neural Network Architectures Optimized via Grid Search and Coordinate AscentConference Article 2025 2nd International Conference on Intelligent Computing and Robotics (ICICR)·He, R., Li, B., Zhang, Z., Zhou, Q., Liu, R., Song, Q.
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  3. Change-Point Detection Utilizing Normalized Entropy as a Fundamental MetricConference Article Pattern Recognition and Information Processing (PRIP'2025)·Song, Q., Xia, S.
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  4. TRLLD: Load Level Detection Algorithm Based on Threshold Recognition for Load Time SeriesJournal Article Computers, Materials & Continua·Song, Q., Xia, S., Wu, Z.
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  5. Trend-Aligned Feature Correlation: A Holistic Feature Relevance Metric on Time Series DataConference Article Second International Conference on Big Data, Computational Intelligence, and Applications (BDCIA 2024)·He, R., Song, Q., Zhou, Q., Zhang, Z., Zhang, S.
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Recent Activities

  1. Scientific Seminar on Mathematical Modeling, Data Analysis, and Information Security of Complex Systems — Invited Talk Academic Report
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  2. Two Invited Talks at the XII Belarusian-Chinese Youth Innovation Forum "New Horizons — 2025" Academic Report
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  3. Participation in China International College Students Innovation Competition (2023) — Main Track Event & Exchange
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  4. Participation in the 5th China Young Entrepreneurs (Gongqingcheng) Development Summit Event & Exchange
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  5. Invited Talk at the 2nd International Conference on Computer Vision, Communications and Multimedia (ICCVCM 2021) Academic Report
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