Shiyu Wang

Orcid: 0000-0001-5376-6761

Affiliations:

Ant Group, Hangzhou, China
Xidian University, Xi'an, China (former)

According to our database¹, Shiyu Wang authored at least 31 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, January, 2026

How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, July, 2025

Position: Empowering Time Series Reasoning with Multimodal LLMs.

[BibT_eX]

[DOI]

CoRR, February, 2025

FRT: Flow-based Reconcile Transformer for Hierarchical Time Series.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

SCOPE-MoE: Supply Chain Forecasting with a Pretrained MoE-Based Large Time Series Model in E-Commerce.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making.

[BibT_eX]

[DOI]

CoRR, 2024

NeuralReconciler for Hierarchical Time Series Forecasting.

[BibT_eX]

[DOI]

Shiyu Wang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Intelligent Agents with LLM-based Process Automation.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Causal Interventional Prediction System for Robust and Explainable Effect Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Intelligent Virtual Assistants with LLM-based Process Automation.

[BibT_eX]

[DOI]

CoRR, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.

[BibT_eX]

[DOI]

CoRR, 2023

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies.

[BibT_eX]

[DOI]

CoRR, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation.

[BibT_eX]

[DOI]

CoRR, 2022

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

A Graph Regularized Point Process Model For Event Propagation Sequence.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

A distributed PDP model based on spectral clustering for improving evaluation performance.

[BibT_eX]

[DOI]

World Wide Web, 2019

2018

Establishment of attribute bitmaps for efficient XACML policy evaluation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Shiyu Wang

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Bibliography

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