Lu Tang

According to our database, Lu Tang authored at least 13 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Harmony-based data integration for distributed single-cell multi-omics data.

Ruizhi Yuan, Ziqi Rong, Haoran Hu, Tianhao Liu, Shiyue Tao, Wei Chen, Lu Tang

PLoS Comput. Biol., 2025

Static Algorithm, Evolving Epidemic: Understanding the Potential of Human-AI Risk Assessment to Support Regional Overdose Prevention.

Venkatesh Sivaraman, Yejun Kwak, Courtney Kuza, Qingnan Yang, Kayleigh Adamson, Katie Suda, Lu Tang, Walid Gellad, Adam Perer

Proc. ACM Hum. Comput. Interact., 2025

2024

Transfer learning via random forests: A one-shot federated approach.

Pengcheng Xiang, Ling Zhou, Lu Tang

Comput. Stat. Data Anal., 2024

Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit.

Nur Yildirim, Susanna Zlotnikov, Deniz Sayar, Jeremy M. Kahn, Leigh A. Bukowski, Sher Shah Amin, Kathryn A. Riman, Billie S. Davis, John S. Minturn, Andrew J. King, Dan Ricketts, Lu Tang, Venkatesh Sivaraman, Adam Perer, Sarah Masud Preum, James McCann, John Zimmerman

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2022

RISE: Robust Individualized Decision Learning with Sensitive Variables.

Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources.

Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou, Lu Tang

Proceedings of the International Conference on Machine Learning, 2022

2021

Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models.

Fei Wang, Ling Zhou, Lu Tang, Peter X. K. Song

J. Mach. Learn. Res., 2021

A Tree-based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources.

Xiaoqing Tan, Chung-Chou H. Chang, Lu Tang

CoRR, 2021

2020

Distributed simultaneous inference in generalized linear models via confidence distribution.

Lu Tang, Ling Zhou, Peter X.-K. Song

J. Multivar. Anal., 2020

2019

Fusion learning algorithm to combine partially heterogeneous Cox models.

Lu Tang, Ling Zhou, Peter X. K. Song

Comput. Stat., 2019

A sparse negative binomial mixture model for clustering RNA-seq count data.

Tanbin Rahman, Yujia Li, Tianzhou Ma, Lu Tang, George C. Tseng

CoRR, 2019

2018

Learning Large Scale Ordinal Ranking Model via Divide-and-Conquer Technique.

Lu Tang, Sougata Chaudhuri, Abraham Bagherjeiran, Ling Zhou

Proceedings of the Companion Proceedings of the The Web Conference 2018, 2018

2016

Fused Lasso Approach in Regression Coefficients Clustering - Learning Parameter Heterogeneity in Data Integration.

Lu Tang, Peter X. K. Song

J. Mach. Learn. Res., 2016