Xiaoming Shi

Orcid: 0000-0003-0764-8961

Affiliations:

Dalian University of Technology, School of Electronic Information and Electrical Engineering, Dalian, China

According to our database¹, Xiaoming Shi authored at least 18 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2025

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

[BibT_eX]

[DOI]

CoRR, July, 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

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

EasyTPP: Towards Open Benchmarking Temporal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TimeMixer: Decomposable Multiscale Mixing 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

2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

[BibT_eX]

[DOI]

CoRR, 2023

EasyTPP: Towards Open Benchmarking the Temporal Point Processes.

[BibT_eX]

[DOI]

CoRR, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction.

[BibT_eX]

[DOI]

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes.

[BibT_eX]

[DOI]

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

2022

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

2021

A Spatial-Temporal Attention Approach for Traffic Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

A Graph Regularized Point Process Model For Event Propagation Sequence.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Xiaoming Shi

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