* First author # Contributes equally

Preprint

1. *Wu, S., Yang, D., Xu, Y., & Feng, L. (2025). Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data, under review. [Arxiv]

2. Li, Z., #Wu, S., & Feng, L. (2024). Time series generative learning with application to brain imaging analysis, under review. [Arxiv]

3. Tian, Y., Wu, S., & Feng, L. (2025). Nonlinear Multiple Response Regression and Learning of Latent Spaces, under review. [Arxiv]

Publications

1. *Wu, S., Wang, F., & Feng, L. (2024). Individualized image region detection with total variation. In Statistical analysis and data mining: The asa data science journal (Vol. 17, e11684). [Paper] [Code]

2. *Wu, S., & Feng, L. (2023). Sparse kronecker product decomposition: A general framework of signal region detection in image regression. In Journal of the royal statistical society series b: Statistical methodology (Vol. 85, pp. 783–809). [Paper] [Code]

3. *Wu, S., Feng, X., & Zhou, F. (2020). Metric learning by similarity network for deep semi-supervised learning. In Developments of artificial intelligence technologies in computation and robotics: Proceedings of the 14th international flins conference (flins 2020) (pp. 995–1002). [Paper]