activity
20152026
most citedGWGGI: software for genome-wide gene-gene interaction analysis

8 citations · 18 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

BanditLP: Large-Scale Stochastic Optimization for Personalized Recommendations

Phuc Nguyen, Benjamin Zelditch, Joyce Chen +2

We present BanditLP, a scalable multi-stakeholder contextual bandit framework that unifies neural Thompson Sampling for learning objective-specific outcomes with a large-scale line…

q-bio.GN2025★ 2 cited

A U-Statistic-based random forest approach for genetic interaction study

Ming Li, Ruo-Sin Peng, Changshuai Wei +1

Variations in complex traits are influenced by multiple genetic variants, environmental risk factors, and their interactions. Though substantial progress has been made in identifyi…

cs.LG2025★ 6 cited

Collapsing ROC approach for risk prediction research on both common and rare variants

Changshuai Wei, Qing Lu

Risk prediction that capitalizes on emerging genetic findings holds great promise for improving public health and clinical care. However, recent risk prediction research has shown…

cs.LG2025★ 1 cited

Causal Predictive Optimization and Generation for Business AI

Liyang Zhao, Olurotimi Seton, Himadeep Reddy Reddivari +4

The sales process involves sales functions converting leads or opportunities to customers and selling more products to existing customers. The optimization of the sales process thu…

cs.LG2025

LiDDA: Data Driven Attribution at LinkedIn

John Bencina, Erkut Aykutlug, Yue Chen +4

Data Driven Attribution, which assigns conversion credits to marketing interactions based on causal patterns learned from data, is the foundation of modern marketing intelligence a…

stat.ME2025

A multi-locus predictiveness curve and its summary assessment for genetic risk prediction

Changshuai Wei, Ming Li, Yalu Wen +2

With the advance of high-throughput genotyping and sequencing technologies, it becomes feasible to comprehensive evaluate the role of massive genetic predictors in disease predicti…

q-bio.QM2015★ 8 cited

GWGGI: software for genome-wide gene-gene interaction analysis

Changshuai Wei, Qing Lu

Background: While the importance of gene-gene interactions in human diseases has been well recognized, identifying them has been a great challenge, especially through association s…

stat.ME2015★ 1 cited

A Generalized Similarity U Test for Multivariate Analysis of Sequencing Data

Changshuai Wei, Qing Lu

Sequencing-based studies are emerging as a major tool for genetic association studies of complex diseases. These studies pose great challenges to the traditional statistical method…