Yinbo Sun

Orcid: 0000-0002-1836-4772

According to our database1, Yinbo Sun authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Macro-Micro Collaborative Learning for Logical Data Center Microservice Indicators Forecasting.
Proceedings of the ACM Web Conference 2026, 2026

PAPT: Periodic-Aware Transformer with Polynomial Trend Fitting for General Time Series Forecasting.
Proceedings of the Database Systems for Advanced Applications, 2026

2025
Xihe: Scalable Zero-Shot Time Series Learner Via Hierarchical Interleaved Block Attention.
CoRR, October, 2025

UniCA: Adapting Time Series Foundation Model to General Covariate-Aware Forecasting.
CoRR, June, 2025

2024
Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Full Scaling Automation for Sustainable Development of Green Data Centers.
CoRR, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.
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.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Research on three-dimensional counting algorithm of high-precision suspended cells based on deep learning.
J. Electronic Imaging, 2022

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation.
CoRR, 2022

Memory Augmented State Space Model for Time Series Forecasting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022


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