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ORCIDLin Lin 0003
Person information
- affiliation: Pennsylvania State University, University Park, PA, USA
Other persons with the same name
- Lin Lin — disambiguation page
- Lin Lin 0001
![[0000-0001-6860-9566]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6860-9566")
— University of California, Berkeley, Department of Mathematics, CA, USA (and 2 more) - Lin Lin 0002 — Tongji University, College of Electronics and Information Engineering, Shanghai, China (and 2 more)
- Lin Lin 0004 — University of Waterloo, Department of Electrical and Computer Engineering, Canada
- Lin Lin 0005 — Southern Medical University, School of Biomedical Engineering, Guangzhou, Guangdong, China
- Lin Lin 0006 — University of North Texas, Denton, TX, USA (and 1 more)
- Lin Lin 0007 — Xi'an Jiaotong University, School of Mathematics and Statistics, China
- Lin Lin 0008 — Dalian University of Technology, School of Software, China (and 2 more)
- Lin Lin 0009 — University of Miami, Department of Electrical and Computer Engineering, Coral Gables, FL, USA
- Lin Lin 0010 — University of Maryland at College Park, Earth System Science Interdisciplinary Center, MD, USA
- Lin Lin 0011 — Global Foundries, USA (and 1 more)
- Lin Lin 0012 — Southeast University, School of Mathematics, Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, Nanjing, China
- Lin Lin 0013 — National University of Singapore, School of Computing, Singapore
- Lin Lin 0014 — Harbin Institute of Technology, School of Mechatronics Engineering, China (and 1 more)
- Lin Lin 0015 — Jilin Institute of Chemical Technology, College of Information and Control Engineering, China
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Journal Articles
- 2025
[j11]Jingxuan Zhang, Liwen Sun, Neal E. Ready, Wenbo Guo, Lin Lin:
cytoGPNet: Enhancing clinical outcome prediction accuracy using longitudinal cytometry data in small cohort studies. Patterns 6(10): 101297 (2025)- 2024
- [j10]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:
GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies. PLoS Comput. Biol. 20(11): 1012581 (2024) - 2023
- [j9]Lixiang Zhang, Lin Lin, Jia Li:
Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data. PLoS Comput. Biol. 19(4) (2023) - 2022
- [j8]Beomseok Seo, Lin Lin, Jia Li:
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models. J. Comput. Graph. Stat. 31(1): 138-150 (2022) - 2021
- [j7]Jia Li, Lin Lin:
Optimal Transport With Relaxed Marginal Constraints. IEEE Access 9: 58142-58160 (2021) - 2020
- [j6]Lixiang Zhang, Lin Lin, Jia Li:
CPS analysis: self-contained validation of biomedical data clustering. Bioinform. 36(11): 3516-3521 (2020) - 2019
- [j5]Lin Lin, Duncan K. H. Fong:
Bayesian multidimensional scaling procedure with variable selection. Comput. Stat. Data Anal. 129: 1-13 (2019) - [j4]Weiling Li, Lin Lin, Raunaq Malhotra, Lei Yang, Raj Acharya, Mary Poss:
A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K In human populations. PLoS Comput. Biol. 15(3) (2019) - [j3]Jia Li, Beomseok Seo, Lin Lin:
Optimal transport, mean partition, and uncertainty assessment in cluster analysis. Stat. Anal. Data Min. 12(5): 359-377 (2019) - 2017
- [j2]Lin Lin, Jia Li:
Clustering with Hidden Markov Model on Variable Blocks. J. Mach. Learn. Res. 18: 110:1-110:49 (2017) - 2013
- [j1]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:
Hierarchical Modeling for Rare Event Detection and Cell Subset Alignment across Flow Cytometry Samples. PLoS Comput. Biol. 9(7) (2013)
Conference and Workshop Papers
- 2022
- [c5]Lin Qiu, Vernon M. Chinchilli, Lin Lin:
Interpretable Representation Learning from Temporal Multi-view Data. ACML 2022: 864-879 - [c4]Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli:
Probabilistic Model Incorporating Auxiliary Covariates to Control FDR. CIKM 2022: 4419-4423 - 2018
- [c3]Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing:
Defending Against Adversarial Samples Without Security through Obscurity. ICDM 2018: 137-146 - [c2]Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin:
Explaining Deep Learning Models - A Bayesian Non-parametric Approach. NeurIPS 2018: 4519-4529 - 2016
- [c1]Le Guan, Jun Xu, Shuai Wang, Xinyu Xing, Lin Lin, Heqing Huang, Peng Liu, Wenke Lee:
From Physical to Cyber: Escalating Protection for Personalized Auto Insurance. SenSys 2016: 42-55
Informal and Other Publications
- 2022
- [i8]Lin Qiu, Lynn Lin, Vernon M. Chinchilli:
Variational Interpretable Learning from Multi-view Data. CoRR abs/2202.13503 (2022) - [i7]Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli:
Probabilistic Model Incorporating Auxiliary Covariates to Control FDR. CoRR abs/2210.03178 (2022) - 2021
- [i6]Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli:
NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy. CoRR abs/2101.09809 (2021) - 2020
- [i5]Lin Qiu, Vernon M. Chinchilli, Lin Lin:
Deep Latent Variable Model for Longitudinal Group Factor Analysis. CoRR abs/2005.05210 (2020) - 2018
- [i4]Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin:
Explaining Deep Learning Models - A Bayesian Non-parametric Approach. CoRR abs/1811.03422 (2018) - 2017
- [i3]Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing:
Towards Interrogating Discriminative Machine Learning Models. CoRR abs/1705.08564 (2017) - 2016
- [i2]Le Guan, Jun Xu, Shuai Wang, Xinyu Xing, Lin Lin, Heqing Huang, Peng Liu, Wenke Lee:
Exploiting Insurance Telematics for Fun and Profit. CoRR abs/1609.02234 (2016) - [i1]Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong:
Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. CoRR abs/1610.01934 (2016)
Coauthor Index
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