Xu, Y., Düker, M. C., & Matteson, D. S. (2023). Testing Simultaneous Diagonalizability. Journal of the American Statistical Association, 119 (546), 1513-1525. doi: 10.1080/01621459.2023.2202435.
Xu, Y., Thomas, A. M., Crozier, P. A., & Matteson, D. S. (2025). Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation. IEEE Transactions on Image Processing, 34, 1588-1601. doi:10.1109/TIP.2025.3543138.
Manzorro, R., Xu, Y., Vincent, J., Rivera, R., Matteson, D., & Crozier, P. (2022). Exploring Blob Detection to Determine Atomic Column Positions and Intensities in Time-Resolved TEM Images with Ultra-Low Signal-to-Noise. Microscopy and Microanalysis, 28 (6), 1917-1930. doi:10.1017/S1431927622000356.
Thomas, A. M., Crozier, P. A., Xu, Y., & Matteson, D. S. (2023). Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis. Techonometrics, 65 (4), 590-603. doi: 10.1080/00401706.2023.2203744.
Goolsby, C., Losey, J., Xu, Y., Düker, M. C., Sherman, M. G., Matteson, D. S., & Moradi, M. (2021). Addressing the Embeddability Problem in Transition Rate Estimation. Journal of Physical Chemistry A, 127 (27), 5745-5759. doi: 10.1021/acs.jpca.3c01367.
Calabro, C., Sadhu R., Xu, Y., Aprea, M., Guarino, C., & Cazer C. L. (2024). Longitudinal Antimicrobial Susceptibility Trends of Canine Staphylococcus Pseudintermedius. Preventive Veterinary Medicine, 226, 106170. doi:10.1016/j.prevetmed.2024.106170.
Thomas, A. M., Lin, A. C., Deng, G., Xu, Y., Ranvier, G. F., Taye, A., Matteson, D. S., & Lee, D. (2024). A Proof-of-Concept Investigation into Predicting Follicular Carcinoma on Ultrasound Using Topological Data Analysis and Radiomics. Imaging, 2025. doi:10.1556/1647.2025.00256.
Jan 2025. Department Seminar in the Department of Statistics at the University of California, Santa Cruz, CA.
Nov 2024. The Conference on Statistical Learning and Data Science (SLDS), Analysis of High Dimensional Data with Complex Structure Section, Invited Session. Newport Beach, CA.
Aug 2024. Joint Statistical Meeting (JSM), Business and Economic Statistics Section, Poster Session. Portland, OR.
Oct 2022. 2022 INFORMS Annual Meeting, Science-Integrated Statistical Learning Section, Contributed Technical Session. Indianapolis, IN.
Nov 2022. 2022 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), Poster Session, Best Student Poster Award. (Hybrid) Rochester, NY.
Apr 2021. UPSTAT 2021 Conference, Contributed Parallel Session, Bronze Medal Presenter. (Virtual) Rochester, NY.
Feb 2022. The 37th SIDIM, Data Science in Science Minisymposia, Contributed Parallel Session. (Virtual) Puerto Rico.
May 2023. Conference on Advances in Time Series Analysis, Contributed Speedy Session. Chicago, IL.
July 2019. Joint Statistical Meeting (JSM), Business and Economic Statistics Section, Contributed Speed Session. Denver, CO.
Sept 2019. Cornell Celebration of Statistics and Data Science, Poster Session. Ithaca, NY.
HDR
Catalyst Project | Nov 2019 - Present | Ithaca, NY
Collaborate with groups of:
Prof. Roberto Rivera: propose and adapt hidden Markov models to dynamically cluster nanoparticle atomic structural configurations.
Prof. Peter A. Crozier: adapt blob detection algorithm to extract locations and intensities of atomic columns.
Prof. Mahmoud Moradi: refine the estimators of Markov chain transition rate matrices from transition probability matrices.
Heart Failure Project | Dec 2021 - Present | Ithaca, NY
Collaborate with New York-Presbyterian
(NYP) Hospital to conduct patients’ heart failure inference from
Electrocardiograms (ECG) data with other hospital-visit
records.
Thyroid Cancer Project | Dec 2022 - Present | Ithaca, NY
Collaborate with Denise Lee, MD
to predict Differentiated Thyroid Cancer (DTC) recurrence.