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publications

Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection

Published in Arxiv, 2025

Recommended citation: Shi, H., Yu, S., & Chi, E. C. (2025). Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection. arXiv preprint arXiv:2507.09380.
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Transfer Learning for Survival-based Clustering of Predictors with an Application to TP53 Mutation Annotation

Published in Proceedings of The Inaugural Workshop on Frontiers in Statistical Machine Learning, 2025

Recommended citation: Liu, X., Yan, H., Shi, H., Montellier, E., Chi, E., Hainaut, P. and Wang, W. (2025). Transfer learning for survival-based clustering of predictors with an application to TP53 mutation annotation. Proceedings of The Inaugural Workshop on Frontiers in Statistical Machine Learning.

Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression

Published in Arxiv, 2026

Recommended citation: Shi, H., Chi, E. C., & Luo, H. (2026). Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression. arXiv preprint arXiv:2603.26048.
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Transfer Learning for Robust Structured Regression with Bi-level Source Detection

Published in Arxiv, 2026

Recommended citation: Shi, H., Feng. Y., & Liu, X. (2026). Transfer Learning for Robust Structured Regression with Bi-level Source Detection. arXiv preprint arXiv:2604.06659.
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Haoming Shi

Posts by Collection

portfolio

Portfolio item number 1

Portfolio item number 2

publications

Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection

Transfer Learning for Survival-based Clustering of Predictors with an Application to TP53 Mutation Annotation

Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression

Transfer Learning for Robust Structured Regression with Bi-level Source Detection

talks

Annotating TP53 Germline Mutations from Patient Time-to-Cancer Diagnosis via Homogeneity Pursuit in Cox Regression.

A Robust Estimation Framework for Spatiotemporal Epidemic Models.

A Robust Estimation Framework for Spatiotemporal Epidemic Models.

A Robust Estimation Framework for Spatiotemporal Epidemic Models.

teaching

STAT 310 (Probability and Statistics)

STAT 310 (Probability and Statistics)

STAT 413 (Intro to Statistics Machine Learning)

STAT 607 (Statistical Computing)

PhD Qualify Exam Instructor (Statistics and Inference Session)

STAT 613 (Statistical Machine Learning)

STAT 533 (Foundations of Statistical Inference II)