pureGAM: Learning an Inherently Pure Additive Model. - Xingzhi Sun 003; Ziyu Wang; Rui Ding 001; Shi Han; Dongmei Zhang 001 (KDD, 2022)

Graph topological property recovery with heat and wave dynamics-based features on graphs. - Dhananjay Bhaskar; Yanlei Zhang; Charles Xu 004; Xingzhi Sun 003; Oluwadamilola Fasina; Guy Wolf; Maximilian Nickel; Michael Perlmutter; Smita Krishnaswamy (CoRR, 2023)

Bayesian Formulations for Graph Spectral Denoising. - Samuel Leone; Xingzhi Sun 003; Michael Perlmutter; Smita Krishnaswamy (CoRR, 2023)

Bayesian Spectral Graph Denoising with Smoothness Prior. - Samuel Leone; Xingzhi Sun 003; Michael Perlmutter; Smita Krishnaswamy (CISS, 2024)

Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. - Xingzhi Sun 003; Danqi Liao; Kincaid MacDonald; Yanlei Zhang; Chen Liu 020; Guillaume Huguet; Guy Wolf; Ian Adelstein; Tim G. J. Rudner; Smita Krishnaswamy (CoRR, 2024)

Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. - Xingzhi Sun 003; Danqi Liao; Kincaid MacDonald; Yanlei Zhang; Guillaume Huguet; Guy Wolf; Ian Adelstein; Tim G. J. Rudner; Smita Krishnaswamy (AISTATS, 2025)

Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics. - Xingzhi Sun 003; Charles Xu 004; João F. Rocha; Chen Liu 020; Benjamin Hollander-Bodie; Laney Goldman; Marcello DiStasio; Michael Perlmutter; Smita Krishnaswamy (ICASSP, 2025)

Principal Curvatures Estimation with Applications to Single Cell Data. - Yanlei Zhang; Lydia Mezrag; Xingzhi Sun 003; Charles Xu 004; Kincaid MacDonald; Dhananjay Bhaskar; Smita Krishnaswamy; Guy Wolf; Bastian Rieck (ICASSP, 2025)

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics. - João F. Rocha; Ke Xu 010; Xingzhi Sun 003; Ananya Krishna; Dhananjay Bhaskar; Blanche Mongeon; Morgan Craig; Mark Gerstein; Smita Krishnaswamy (CoRR, 2025)