Publications

List of publications and preprints

Huang S, Pfister N, Bowden J (2024). “Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding.” arXiv preprint arXiv:2410.12300. doi.

Huang S, Peters J, Pfister N (2024). “Causal Change Point Detection and Localization.” arXiv preprint arXiv:2403.12677. doi.

Huang S, Ailer E, Kilbertus N, Pfister N (2023). “Supervised learning and model analysis with compositional data.” PLOS Computational Biology, 19(6), e1011240. doi.

Huang S, Wolkowicz H (2018). “Low-rank matrix completion using nuclear norm minimization and facial reduction.” Journal of Global Optimization, 72(1), 5-26. doi.

El Khatib A, Huang S, Ghodsi A, Karray F (2018). “Nonnegative matrix factorization using autoencoders and exponentiated gradient descent.” In 2018 International Joint Conference on Neural Networks (IJCNN), 1-8. IEEE. doi.

Presentations

Huang S (2022). “Supervised Learning and Model Analysis with Compositional Data.” Student Travel Award, ICSDS 2022, Florence, Italy (slides).

Huang S (2023). “Causal change point detection and localization.” EMS 2023, Warsaw, Poland (slides).