activity
20152023
most citedOptimal Bayesian Transfer Learning

86 citations · 433 across the 35 of their papers we have counts for

collaborators

36 papers

q-bio.GN2023

Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response

Xihaier Luo, Sean McCorkle, Gilchan Park +6

There are various sources of ionizing radiation exposure, where medical exposure for radiation therapy or diagnosis is the most common human-made source. Understanding how gene exp…

eess.SP2022★ 2 cited

DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness

Zepeng Huo, Taowei Ji, Yifei Liang +4

In wearable sensing applications, data is inevitable to be irregularly sampled or partially missing, which pose challenges for any downstream application. An unique aspect of weara…

stat.ME2021

Adaptive Group Testing with Mismatched Models

Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander +2

Accurate detection of infected individuals is one of the critical steps in stopping any pandemic. When the underlying infection rate of the disease is low, testing people in groups…

stat.ML2021★ 7 cited

Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning

Omar Maddouri, Xiaoning Qian, Francis J. Alexander +2

Classification has been a major task for building intelligent systems as it enables decision-making under uncertainty. Classifier design aims at building models from training data…

math.OC2021★ 3 cited

Optimal Decision Making in High-Throughput Virtual Screening Pipelines

Hyun-Myung Woo, Xiaoning Qian, Li Tan +4

The need for efficient computational screening of molecular candidates that possess desired properties frequently arises in various scientific and engineering problems, including d…

q-bio.GN2021★ 5 cited

SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data

Seyednami Niyakan, Ehsan Hajiramezanali, Shahin Boluki +2

Single-Cell RNA sequencing (scRNA-seq) measurements have facilitated genome-scale transcriptomic profiling of individual cells, with the hope of deconvolving cellular dynamic chang…