Neural Network-based CUSUM for Online Change-point Detection

 T. Gong*, J. Lee*, X. Cheng, and Y. Xie. 

*Equal contribution.

Implicit Multivariate Backtesting Expected Shortfall

T. Gong and Y. Chen. 

A Macro-cosmically Evolving Hawkes Process

T. Gong, Y. Chen, and W. Zhang. 

Journal

Point Processes with Event Time Uncertainty

X. Cheng*, T. Gong*, and Y. Xie*. Submitted.

*Equal contribution. 

- Presented at JSM 2022 on Statistical Advances in Learning Large-Scale Networks from Massive Data Sets.

- Travel Grant at 2024 Algorithms for Threat Detection PI Workshop

- Presented at INFORMS 2024 on Predictive Analytics for High-Stakes Decision Making.

Higher-criticism for Multi-sensor Sparse Change-point Detection

T. Gong*, A. Kipnis*, and Y. Xie*. Submitted.

*Equal contribution.

- Presented at SLDS 2024 on Recent Breakthrough on Complex Change-point Detection.

Distribution-free Online Change Detection for Low Rank Images

T. Gong, S.-H. Kim, and Y. Xie. 

Sequential Analysis, Accepted, 2025.

-Finalist for the Best Paper Competition at 2024 Informs Conference on Quality, Statistics, and Reliability

Distribution-free Image Monitoring with Application to Battery Coating Process

T. Gong, D. Liu, H. Kim, S.-H. Kim, T. Kim, D. Lee, and Y. Xie. 

IISE Transactions, Volume 57, 199-212, 2025.

-Presented at IISE Annual Conference & Expo 2023 on Machine Learning in Advanced Manufacturing I.

Uncovering Block Structures in Large Rectangular Matrices

T. Gong, W. Zhang, and Y. Chen. 

Journal of Multivariate Analysis, Volume 198, 105211, 2023.

Workshop