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ORCIDLu Tang 0003
Person information
- affiliation: University of Pittsburgh, Department of Biostatistics, PA, USA
- affiliation: University of Michigan, Department of Biostatistics, MI, USA
Other persons with the same name
- Lu Tang — disambiguation page
- Lu Tang 0001
![[0000-0003-0354-185X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0354-185X")
— Xuzhou Medical University, School of Medical Imaging, China (and 1 more) - Lu Tang 0002 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Lu Tang 0004 — Xiamen University, Department of Computer Science and Technology, China (and 1 more)
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2020 – today
- 2024
[j5]Pengcheng Xiang, Ling Zhou, Lu Tang:
Transfer learning via random forests: A one-shot federated approach. Comput. Stat. Data Anal. 197: 107975 (2024)- [c4]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:
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CHI 2024: 451:1-451:18 - [i5]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:
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CoRR abs/2402.13437 (2024) - 2022
- [c3]Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou, Lu Tang:
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources. ICML 2022: 21013-21036 - [c2]Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang:
RISE: Robust Individualized Decision Learning with Sensitive Variables. NeurIPS 2022 - [i4]Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang:
RISE: Robust Individualized Decision Learning with Sensitive Variables. CoRR abs/2211.06569 (2022) - 2021
- [j4]Fei Wang, Ling Zhou, Lu Tang, Peter X. K. Song:
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models. J. Mach. Learn. Res. 22: 192:1-192:32 (2021) - [i3]Xiaoqing Tan, Chung-Chou H. Chang, Lu Tang:
A Tree-based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources. CoRR abs/2103.06261 (2021) - 2020
- [j3]Lu Tang, Ling Zhou, Peter X.-K. Song:
Distributed simultaneous inference in generalized linear models via confidence distribution. J. Multivar. Anal. 176 (2020)
2010 – 2019
- 2019
- [j2]Lu Tang, Ling Zhou, Peter X. K. Song:
Fusion learning algorithm to combine partially heterogeneous Cox models. Comput. Stat. 34(1): 395-414 (2019) - [i2]Fei Wang, Ling Zhou, Lu Tang, Peter X.-K. Song:
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models. CoRR abs/1908.01253 (2019) - [i1]Tanbin Rahman, Yujia Li, Tianzhou Ma, Lu Tang, George C. Tseng:
A sparse negative binomial mixture model for clustering RNA-seq count data. CoRR abs/1912.02399 (2019) - 2018
- [c1]Lu Tang, Sougata Chaudhuri, Abraham Bagherjeiran, Ling Zhou:
Learning Large Scale Ordinal Ranking Model via Divide-and-Conquer Technique. WWW (Companion Volume) 2018: 1901-1909 - 2016
- [j1]Lu Tang, Peter X. K. Song:
Fused Lasso Approach in Regression Coefficients Clustering - Learning Parameter Heterogeneity in Data Integration. J. Mach. Learn. Res. 17: 113:1-113:23 (2016)
Coauthor Index
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