Lin Lin - RankMe

23 papers A* 2A 1C 1Misc 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	cytoGPNet: Enhancing clinical outcome prediction accuracy using longitudinal cytometry data in small cohort studies. Patterns Jingxuan Zhang, Liwen Sun, Neal E. Ready, Wenbo Guo, Lin Lin
2024	J	`jnl`	GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies. PLoS Comput. Biol. Lin Lin, 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, Jia Li
2023	J	`jnl`	Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data. PLoS Comput. Biol. Lixiang Zhang, Lin Lin, Jia Li
2022	J	`jnl`	Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models. J. Comput. Graph. Stat. Beomseok Seo, Lin Lin, Jia Li
2022	C	`conf`	Interpretable Representation Learning from Temporal Multi-view Data. ACML Lin Qiu, Vernon M. Chinchilli, Lin Lin
2022	A	`conf`	Probabilistic Model Incorporating Auxiliary Covariates to Control FDR. CIKM Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli
2022	J	`jnl`	Probabilistic Model Incorporating Auxiliary Covariates to Control FDR. CoRR Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli
2021	J	`jnl`	NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy. CoRR Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli
2021	J	`jnl`	Optimal Transport With Relaxed Marginal Constraints. IEEE Access Jia Li, Lin Lin
2020	J	`jnl`	CPS analysis: self-contained validation of biomedical data clustering. Bioinform. Lixiang Zhang, Lin Lin, Jia Li
2020	J	`jnl`	Deep Latent Variable Model for Longitudinal Group Factor Analysis. CoRR Lin Qiu, Vernon M. Chinchilli, Lin Lin
2019	J	`jnl`	A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K In human populations. PLoS Comput. Biol. Weiling Li, Lin Lin, Raunaq Malhotra, Lei Yang, Raj Acharya, Mary Poss
2019	J	`jnl`	Bayesian multidimensional scaling procedure with variable selection. Comput. Stat. Data Anal. Lin Lin, Duncan K. H. Fong
2019	J	`jnl`	Optimal transport, mean partition, and uncertainty assessment in cluster analysis. Stat. Anal. Data Min. Jia Li, Beomseok Seo, Lin Lin
2018	A*	`conf`	Defending Against Adversarial Samples Without Security through Obscurity. ICDM Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing
2018	A*	`conf`	Explaining Deep Learning Models - A Bayesian Non-parametric Approach. NeurIPS Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
2018	J	`jnl`	Explaining Deep Learning Models - A Bayesian Non-parametric Approach. CoRR Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
2017	J	`jnl`	Clustering with Hidden Markov Model on Variable Blocks. J. Mach. Learn. Res. Lin Lin, Jia Li
2017	J	`jnl`	Towards Interrogating Discriminative Machine Learning Models. CoRR Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing
2016	J	`jnl`	Exploiting Insurance Telematics for Fun and Profit. CoRR Le Guan, Jun Xu, Shuai Wang, Xinyu Xing, Lin Lin, Heqing Huang, Peng Liu, Wenke Lee
2016	Misc	`conf`	From Physical to Cyber: Escalating Protection for Personalized Auto Insurance. SenSys Le Guan, Jun Xu, Shuai Wang, Xinyu Xing, Lin Lin, Heqing Huang, Peng Liu, Wenke Lee
2016	J	`jnl`	Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. CoRR Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong
2013	J	`jnl`	Hierarchical Modeling for Rare Event Detection and Cell Subset Alignment across Flow Cytometry Samples. PLoS Comput. Biol. Andrew Cron, Cécile Gouttefangeas, Jacob Frelinger, Lin Lin, Satwinder K. Singh, Cedrik M. Britten, Marij J. P. Welters, Sjoerd H. van der Burg, Mike West, Cliburn Chan