Xiaoyu Tao

Orcid: 0009-0000-0634-6254

Affiliations:

University of Science and Technology of China, Hefei, Anhui, China

According to our database¹, Xiaoyu Tao authored at least 24 papers between 2024 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

GeoDecider: A Coarse-to-Fine Agentic Workflow for Explainable Lithology Classification.

[BibT_eX]

[DOI]

CoRR, May, 2026

CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, April, 2026

TableMind++: An Uncertainty-Aware Programmatic Agent for Tool-Augmented Table Reasoning.

[BibT_eX]

[DOI]

CoRR, March, 2026

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2026

CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2026

MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Position: Beyond Model-Centric Prediction - Agentic Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2026

InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement.

[BibT_eX]

[DOI]

CoRR, January, 2026

Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis.

[BibT_eX]

[DOI]

CoRR, January, 2026

STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

STaR: Towards Cognitive Table Reasoning via Slow-Thinking Large Language Models.

[BibT_eX]

[DOI]

CoRR, November, 2025

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, November, 2025

OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, October, 2025

From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization.

[BibT_eX]

[DOI]

CoRR, August, 2025

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification.

[BibT_eX]

[DOI]

CoRR, 2024

FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Xiaoyu Tao

Timeline

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