45 citations · 109 across the 16 of their papers we have counts for
13 papers · 1 filter
Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning
Haobo Zhang, Jiankun Wang, Suraj Rajendran +5
Federated fine-tuning of large pre-trained models increasingly relies on Low-Rank Adaptation (LoRA) to reduce communication and computation, but heterogeneous clients can make adap…
Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
Wenxin Chen, Weishen Pan, Kyra Gan +1
Comparative evaluation of multiple dynamic treatment policies is essential for healthcare and policy decisions, yet conventional longitudinal causal inference methods estimate each…
Efficient Imputation for Patch-based Missing Single-cell Data via Cluster-regularized Optimal Transport
Yuyu Liu, Jiannan Yang, Ziyang Yu +3
Missing data in single-cell sequencing datasets poses significant challenges for extracting meaningful biological insights. However, existing imputation approaches, which often ass…
MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability
Wenxin Chen, Weishen Pan, Kyra Gan +1
Current subgroup identification methods typically follow a two-step approach: first estimate conditional average treatment effects and then apply thresholding or rule-based procedu…
Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities
Marianne Arriola, Weishen Pan, Manqi Zhou +3
Joint analysis of multi-omic single-cell data across cohorts has significantly enhanced the comprehensive analysis of cellular processes. However, most of the existing approaches f…
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment
Sen Cui, Weishen Pan, Changshui Zhang +1
Algorithmic fairness has been a serious concern and received lots of interest in machine learning community. In this paper, we focus on the bipartite ranking scenario, where the in…