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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://dblp1.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
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2020 – today
- 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) - [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 - [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
- [j7]Jia Li, Lin Lin:
Optimal Transport With Relaxed Marginal Constraints. IEEE Access 9: 58142-58160 (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
- [j6]Lixiang Zhang, Lin Lin, Jia Li:
CPS analysis: self-contained validation of biomedical data clustering. Bioinform. 36(11): 3516-3521 (2020) - [i5]Lin Qiu, Vernon M. Chinchilli, Lin Lin:
Deep Latent Variable Model for Longitudinal Group Factor Analysis. CoRR abs/2005.05210 (2020)
2010 – 2019
- 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) - 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 - [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
- [j2]Lin Lin, Jia Li:
Clustering with Hidden Markov Model on Variable Blocks. J. Mach. Learn. Res. 18: 110:1-110:49 (2017) - [i3]Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing:
Towards Interrogating Discriminative Machine Learning Models. CoRR abs/1705.08564 (2017) - 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 - [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) - 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)
Coauthor Index
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