Wei Cao

Orcid: 0000-0001-5640-0917

Affiliations:

Microsoft Research Asia, Machine Learning Group, Beijing, China
Tsinghua University, Institute of Interdisciplinary Information Sciences, Beijing, China (PhD 2018)

According to our database¹, Wei Cao authored at least 27 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Challenges of COVID-19 Case Forecasting in the US, 2020-2021.

[BibT_eX]

[DOI]

Alvaro J. Castro Rivadeneira

Joseph Chadi Lemaitre

Kaitlin Rainwater-Lovett

Ana L. Pastore y Piontti

Alessandro Vespignani

Przemyslaw J. Porebski

Srinivasan Venkatramanan

PLoS Comput. Biol., 2024

2023

Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Web-based Long-term Spine Treatment Outcome Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UADB: Unsupervised Anomaly Detection Booster.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

OpenFE: Automated Feature Generation beyond Expert-level Performance.

[BibT_eX]

[DOI]

CoRR, 2022

Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.

[BibT_eX]

[DOI]

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

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Graph-based Spatiotemporal Model for Energy Markets.

[BibT_eX]

[DOI]

Shivkumar Kalyanaraman

John Lemmon

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.

[BibT_eX]

[DOI]

CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.

[BibT_eX]

[DOI]

CoRR, 2021

HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Revisiting the Evaluation of End-to-end Event Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-paced Ensemble for Highly Imbalanced Massive Data Classification.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

LMVP: Video Predictor with Leaked Motion Information.

[BibT_eX]

[DOI]

CoRR, 2019

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

BRITS: Bidirectional Recurrent Imputation for Time Series.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks.