Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data. - Zhaobin Kuang; James A. Thomson; Michael Caldwell; Peggy L. Peissig; Ron M. Stewart; David Page (IJCAI, 2016)

Computational Drug Repositioning Using Continuous Self-Controlled Case Series. - Zhaobin Kuang; James A. Thomson; Michael Caldwell; Peggy L. Peissig; Ron M. Stewart; David Page (KDD, 2016)

A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications. - Finn Kuusisto; John W. Steill; Zhaobin Kuang; James A. Thomson; David Page; Ron M. Stewart (CRI, 2017)

Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data. - Zhaobin Kuang; Peggy L. Peissig; Vítor Santos Costa; Richard Maclin; David Page (KDD, 2017)

Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data. - Yujia Bao; Zhaobin Kuang; Peggy L. Peissig; David Page; Rebecca Willett (MLHC, 2017)

A Screening Rule for l1-Regularized Ising Model Estimation. - Zhaobin Kuang; Sinong Geng; David Page (NIPS, 2017)

Temporal Poisson Square Root Graphical Models. - Sinong Geng; Zhaobin Kuang; Peggy L. Peissig; David Page (ICML, 2018)

Recursive Feature Elimination by Sensitivity Testing. - Nicholas Sean Escanilla; Lisa Hellerstein; Ross Kleiman; Zhaobin Kuang; James Shull; David Page (ICMLA, 2018)

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. - Sinong Geng; Zhaobin Kuang; Jie Liu 006; Stephen J. Wright 001; David Page (UAI, 2018)

High-Throughput Machine Learning from Electronic Health Records. - Ross S. Kleiman; Paul S. Bennett; Peggy L. Peissig; Richard L. Berg; Zhaobin Kuang; Scott J. Hebbring; Michael D. Caldwell; David Page (CoRR, 2019)

Ivy: Instrumental Variable Synthesis for Causal Inference. - Zhaobin Kuang; Frederic Sala; Nimit Sharad Sohoni; Sen Wu 002; Aldo Córdova-Palomera; Jared Dunnmon; James Priest; Christopher Ré (AISTATS, 2020)

Adverse drug reaction discovery from electronic health records with deep neural networks. - Wei Zhang 058; Zhaobin Kuang; Peggy L. Peissig; David Page (CHIL, 2020)

Firebolt: Weak Supervision Under Weaker Assumptions. - Zhaobin Kuang; Chidubem G. Arachie; Bangyong Liang; Pradyumna Narayana; Giulia DeSalvo; Michael S. Quinn; Bert Huang; Geoffrey Downs; Yang Yang (AISTATS, 2022)

SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. - Vasilisa Bashlovkina; Riley Matthews; Zhaobin Kuang; Simon Baumgartner; Michael Bendersky (KDD, 2023)

Trusted Source Alignment in Large Language Models. - Vasilisa Bashlovkina; Zhaobin Kuang; Riley Matthews; Edward Clifford; Yennie Jun; William W. Cohen; Simon Baumgartner (CoRR, 2023)

Factor Learning Portfolio Optimization Informed by Continuous-Time Finance Models. - Sinong Geng; Houssam Nassif; Zhaobin Kuang; Anders Max Reppen; Ronnie Sircar (Trans. Mach. Learn. Res., 2025)