Xiaoyu Tao (陶小玉)

I am a PhD student in Computer Science at State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China. I am advised by Prof. Qi Liu and Associate Researcher Mingyue Cheng.

Research Interest

My research focuses on time series data mining and large language models, with particular emphasis on:

• Time Series Representation Learning: Developing self-supervised and transferable representations for time series, including masked modeling, cross-domain pretraining, and foundation representations for temporal data.
• Context-Aware Time Series Modeling: Designing LLM-driven frameworks that integrate time series with contextual features through symbolic discretization, multimodal alignment, and semantic representation learning.
• Time Series Forecasting and Anomaly Detection: Building advanced forecasting and anomaly detection systems that leverage large models to improve prediction accuracy and robustness in complex environments.
• Agentic Temporal Reasoning: Developing reasoning-driven and tool-augmented agent frameworks with memory mechanisms to enable adaptive decision-making and intelligent analysis.

Awards

Experiences