Xingzhi Sun

15 papers A* 1A 1Misc 3Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models.
CoRR
Chen Liu, Xingzhi Sun, Xi Xiao, Alexandre Van Tassel, Ke Xu, Kristof Reimann, Danqi Liao, Mark Gerstein, Tianyang Wang, Xiao Wang, Smita Krishnaswamy
2026 J jnl
MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data.
CoRR
Xingzhi Sun, João F. Rocha, Brett Phelan, Dhananjay Bhaskar, Guillaume Huguet, Yanlei Zhang, Daniel Sumner Magruder, Alexander Tong, Ke Xu, Oluwadamilola Fasina, Mark Gerstein, Guy Wolf, Natalia Ivanova, Christine L. Chaffer, Smita Krishnaswamy
2025 A conf
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds.
AISTATS
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2025 Misc conf
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics.
ICASSP
Xingzhi Sun, Charles Xu, João F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy
2025 Misc conf
Principal Curvatures Estimation with Applications to Single Cell Data.
ICASSP
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025 J jnl
Principal Curvatures Estimation with Applications to Single Cell Data.
CoRR
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025 J jnl
RNAGenScape: Property-guided Optimization and Interpolation of mRNA Sequences with Manifold Langevin Dynamics.
CoRR
Danqi Liao, Chen Liu, Xingzhi Sun, Dié Tang, Haochen Wang, Scott E. Youlten, Srikar Krishna Gopinath, Haejeong Lee, Ethan C. Strayer, Antonio J. Giraldez, Smita Krishnaswamy
2025 — conf
STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics.
MLCB
João F. Rocha, Ke Xu, Xingzhi Sun, Ananya Krishna, Dhananjay Bhaskar, Blanche Mongeon, Morgan Craig, Mark Gerstein, Smita Krishnaswamy
2025 J jnl
STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics.
CoRR
João F. Rocha, Ke Xu, Xingzhi Sun, Ananya Krishna, Dhananjay Bhaskar, Blanche Mongeon, Morgan Craig, Mark Gerstein, Smita Krishnaswamy
2024 Misc conf
Bayesian Spectral Graph Denoising with Smoothness Prior.
CISS
Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy
2024 J jnl
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds.
CoRR
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2024 J jnl
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics.
CoRR
Xingzhi Sun, Charles Xu, João F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy
2023 J jnl
Bayesian Formulations for Graph Spectral Denoising.
CoRR
Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy
2023 J jnl
Graph topological property recovery with heat and wave dynamics-based features on graphs.
CoRR
Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy
2022 A* conf
pureGAM: Learning an Inherently Pure Additive Model.
KDD
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang