About Me
Hello! I am Tao Xie (谢涛), a third-year B.S. student in the Outstanding Engineer Class of Automation at Guangdong University of Technology, advised by Prof. Yiqun Zhang. I conduct research in the SIGMTA group at the OMG Lab.
My research focuses on time series machine learning, encompassing supervised classification, anomaly detection, forecasting, representation learning, as well as unsupervised pattern discovery and clustering. Application domains include medical sepsis classification and industrial detection. Related works have been published in international conferences such as KDD, BIBM, and PRICAI.
你好！我是谢涛，广东工业大学自动化卓越工程师班三年级本科生，师从张逸群教授，在 OMG 实验室 SIGMTA 课题组开展研究。
我的研究聚焦于时间序列机器学习，涵盖有监督分类、异常检测、预测与表示学习，以及无监督的模式发现与聚类。应用领域包括医疗脓毒症分类与工业检测。相关成果已发表于 KDD、BIBM、PRICAI 等国际会议。
Education
Guangdong University of Technology
B.S. in Automation · University Town Campus
2023 - 2027 (expected)
Lecong Middle School
Senior High School · Shunde, Foshan
2020 - 2023
Experience
OMG Lab, Guangdong University of Technology
Undergraduate Researcher · SIGMTA group
Advisor: Prof. Yiqun Zhang
2025 - Present
Publications
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AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoEACM SIGKDD 2026 (CCF-A)
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DE3S: Dual-Enhanced Soft-Sparse-Shape Learning for Medical Early Time-Series ClassificationIEEE BIBM 2025 (CCF-B)
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MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis PredictionPRICAI 2025 (CCF-C)
† Corresponding author.
Awards
2026 · 核心成员
2025 · 第二负责人
2025 · 核心成员
2025