Hierarchical Modeling for Rare Event Detection and Cell Subset Alignment across Flow Cytometry Samples. - Andrew Cron; Cécile Gouttefangeas; Jacob Frelinger; Lin Lin 003; Satwinder K. Singh; Cedrik M. Britten; Marij J. P. Welters; Sjoerd H. van der Burg; Mike West; Cliburn Chan (PLoS Comput. Biol., 2013)

From Physical to Cyber: Escalating Protection for Personalized Auto Insurance. - Le Guan; Jun Xu 024; Shuai Wang 011; Xinyu Xing 001; Lin Lin 003; Heqing Huang 001; Peng Liu 005; Wenke Lee (SenSys, 2016)

Exploiting Insurance Telematics for Fun and Profit. - Le Guan; Jun Xu 024; Shuai Wang 011; Xinyu Xing 001; Lin Lin 003; Heqing Huang 001; Peng Liu 005; Wenke Lee (CoRR, 2016)

Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. - Qinglong Wang 003; Wenbo Guo 002; Alexander G. Ororbia II; Xinyu Xing 001; Lin Lin 003; C. Lee Giles; Xue Liu 001; Peng Liu 005; Gang Xiong 001 (CoRR, 2016)

Towards Interrogating Discriminative Machine Learning Models. - Wenbo Guo 002; Kaixuan Zhang; Lin Lin 003; Sui Huang; Xinyu Xing 001 (CoRR, 2017)

Clustering with Hidden Markov Model on Variable Blocks. - Lin Lin 003; Jia Li 001 (J. Mach. Learn. Res., 2017)

Defending Against Adversarial Samples Without Security through Obscurity. - Wenbo Guo 002; Qinglong Wang 003; Kaixuan Zhang; Alexander G. Ororbia II; Sui Huang; Xue Liu 001; C. Lee Giles; Lin Lin 003; Xinyu Xing 001 (ICDM, 2018)

Explaining Deep Learning Models - A Bayesian Non-parametric Approach. - Wenbo Guo 002; Sui Huang; Yunzhe Tao; Xinyu Xing 001; Lin Lin 003 (NeurIPS, 2018)

Bayesian multidimensional scaling procedure with variable selection. - Lin Lin 003; Duncan K. H. Fong (Comput. Stat. Data Anal., 2019)

A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K In human populations. - Weiling Li; Lin Lin 003; Raunaq Malhotra; Lei Yang 038; Raj Acharya; Mary Poss (PLoS Comput. Biol., 2019)

Optimal transport, mean partition, and uncertainty assessment in cluster analysis. - Jia Li 001; Beomseok Seo; Lin Lin 003 (Stat. Anal. Data Min., 2019)

CPS analysis: self-contained validation of biomedical data clustering. - Lixiang Zhang; Lin Lin 003; Jia Li 001 (Bioinform., 2020)

Deep Latent Variable Model for Longitudinal Group Factor Analysis. - Lin Qiu; Vernon M. Chinchilli; Lin Lin 003 (CoRR, 2020)

Optimal Transport With Relaxed Marginal Constraints. - Jia Li 001; Lin Lin 003 (IEEE Access, 2021)

NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy. - Lin Qiu; Nils Murrugarra-Llerena; Vítor Silva 004; Lin Lin 003; Vernon M. Chinchilli (CoRR, 2021)

Interpretable Representation Learning from Temporal Multi-view Data. - Lin Qiu; Vernon M. Chinchilli; Lin Lin 003 (ACML, 2022)

Probabilistic Model Incorporating Auxiliary Covariates to Control FDR. - Lin Qiu; Nils Murrugarra-Llerena; Vítor Silva 004; Lin Lin 003; Vernon M. Chinchilli (CIKM, 2022)

Variational Interpretable Learning from Multi-view Data. - Lin Qiu; Lynn Lin; Vernon M. Chinchilli (CoRR, 2022)

Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models. - Beomseok Seo; Lin Lin 003; Jia Li 001 (J. Comput. Graph. Stat., 2022)

Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data. - Lixiang Zhang; Lin Lin 003; Jia Li 001 (PLoS Comput. Biol., 2023)

GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies. - Lin Lin 003; Rachel L. Spreng; Kelly E. Seaton; S. Moses Dennison; Lindsay C. Dahora; Daniel J. Schuster; Sheetal Sawant; Peter B. Gilbert; Youyi Fong; Neville Kisalu; Andrew J. Pollard; Georgia D. Tomaras; et al. (PLoS Comput. Biol., 2024)