Lu Tang - RankMe

17 papers A* 3Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Harmony-based data integration for distributed single-cell multi-omics data. PLoS Comput. Biol. Ruizhi Yuan, Ziqi Rong, Haoran Hu, Tianhao Liu, Shiyue Tao, Wei Chen, Lu Tang
2025	J	`jnl`	Static Algorithm, Evolving Epidemic: Understanding the Potential of Human-AI Risk Assessment to Support Regional Overdose Prevention. CoRR Venkatesh Sivaraman, Yejun Kwak, Courtney Kuza, Qingnan Yang, Kayleigh Adamson, Katie Suda, Lu Tang, Walid Gellad, Adam Perer
2025	J	`jnl`	Static Algorithm, Evolving Epidemic: Understanding the Potential of Human-AI Risk Assessment to Support Regional Overdose Prevention. Proc. ACM Hum. Comput. Interact. Venkatesh Sivaraman, Yejun Kwak, Courtney Kuza, Qingnan Yang, Kayleigh Adamson, Katie Suda, Lu Tang, Walid Gellad, Adam Perer
2024	A*	`conf`	Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CHI 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
2024	J	`jnl`	Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CoRR 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
2024	J	`jnl`	Transfer learning via random forests: A one-shot federated approach. Comput. Stat. Data Anal. Pengcheng Xiang, Ling Zhou, Lu Tang
2022	A*	`conf`	A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources. ICML Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou, Lu Tang
2022	A*	`conf`	RISE: Robust Individualized Decision Learning with Sensitive Variables. NeurIPS Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang
2022	J	`jnl`	RISE: Robust Individualized Decision Learning with Sensitive Variables. CoRR Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang
2021	J	`jnl`	A Tree-based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources. CoRR Xiaoqing Tan, Chung-Chou H. Chang, Lu Tang
2021	J	`jnl`	Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models. J. Mach. Learn. Res. Fei Wang, Ling Zhou, Lu Tang, Peter X. K. Song
2020	J	`jnl`	Distributed simultaneous inference in generalized linear models via confidence distribution. J. Multivar. Anal. Lu Tang, Ling Zhou, Peter X.-K. Song
2019	J	`jnl`	A sparse negative binomial mixture model for clustering RNA-seq count data. CoRR Tanbin Rahman, Yujia Li, Tianzhou Ma, Lu Tang, George C. Tseng
2019	J	`jnl`	Fusion learning algorithm to combine partially heterogeneous Cox models. Comput. Stat. Lu Tang, Ling Zhou, Peter X. K. Song
2019	J	`jnl`	Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models. CoRR Fei Wang, Ling Zhou, Lu Tang, Peter X.-K. Song
2018	—	`conf`	Learning Large Scale Ordinal Ranking Model via Divide-and-Conquer Technique. WWW (Companion Volume) Lu Tang, Sougata Chaudhuri, Abraham Bagherjeiran, Ling Zhou
2016	J	`jnl`	Fused Lasso Approach in Regression Coefficients Clustering - Learning Parameter Heterogeneity in Data Integration. J. Mach. Learn. Res. Lu Tang, Peter X. K. Song