Preprints
Integration of spatial and single-cell data across modalities with weak linkage
Shuxiao Chen, Bokai Zhu, Sijia Huang, John W. Hickey, Kevin Z. Lin, Michael Snyder, William J. Greenleaf, Garry P. Nolan, Nancy R. Zhang, and Zongming Ma. 2023
High Resolution Single Cell Maps Reveals Distinct Cell Organization and Function Across Different
Regions of the Human Intestine
John W. Hickey, Winston R. Becker, Stephanie A. Nevins, Aaron Horning, Almudena Espin Perez, Chenchen Zhu, Bokai Zhu, Bei Wei, Roxanne Chiu, Derek C. Chen, Daniel Cotter, Edward D. Esplin, Annika K. Weimer, Chiara Caraccio, Vishal Venkataraaman, Christian M. Schürch, Sarah Black, Maria Brbić, Kaidi Cao, Shuxiao Chen, Nancy Zhang, Zongming Ma, Jure Leskovec, Zhengyan Zhang, Shin Lin, Teri Longacre, Sylvia K. Plevitis, Yiing Lin, Garry P. Nolan, William J. Greenleaf, Michael Snyder. 2022
The Role of Placebo Samples in Observational Studies
Ting Ye, Shuxiao Chen, and Bo Zhang. 2022
One-Way Matching of Datasets with Low Rank Signals
Shuxiao Chen, Sizun Jiang, Zongming Ma, Garry P. Nolan, and Bokai Zhu. 2022
Minimax Rates and Adaptivity in Combining Experimental and Observational Data
Shuxiao Chen, Bo Zhang, and Ting Ye. 2021
Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable
Shuxiao Chen and Bo Zhang. 2021.
A Theorem of the Alternative for Personalized Federated Learning
Shuxiao Chen, Qinqing Zheng, Qi Long, and Weijie Su. 2021.
Journal publications
Robust Single-cell Matching and Multi-modal Analysis Using Shared and Distinct Features
Bokai Zhu, Shuxiao Chen, Yunhao Bai, Han Chen, Nilanjan Mukherjee, Gustavo Vazquez, David R. McIlwain, Alexandar Tzankov, Ivan T. Lee, Matthias S. Matter, Yury Goltsev, Zongming Ma, Garry P. Nolan, and Sizun Jiang.
Nature Methods, 2023.
Global and Individualized Community Detection in Inhomogeneous Multilayer Networks
Shuxiao Chen, Sifan Liu, and Zongming Ma.
Annals of Statistics, 2022.
A Group-Theoretic Framework for Data Augmentation
Shuxiao Chen, Edgar Dobriban, and Jane H. Lee.
Journal of Machine Learning Research, 2020.
* Preliminary version accepted to NeurIPS 2020 as oral presentation.
Valid Inference Corrected for Outlier Removal
Shuxiao Chen, and Jacob Bien.
Journal of Computational and Graphical Statistics, 2020.
Conference publications
Weighted Training for Cross-Task Learning
Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, and Weijie Su.
International Conference on Learning Representations (ICLR), 2022.
* Accepted as oral presentation.
Federated f-Differential Privacy
Qinqing Zheng, Shuxiao Chen, Qi Long, and Weijie Su.
Artificial Intelligence and Statistics (AISTATS), 2021.
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
Shuxiao Chen, Hangfeng He, and Weijie Su.
Conference on Neural Information Processing Systems (NeurIPS), 2020.