Li-Zhen Lin

Most-cited papers

Dysregulation of prefrontal cortex-mediated slow evolving limbic dynamics drives stress-induced emotional pathology
Rainbo Hultman, S. Mague, Qiang Li, Brittany Katz +14 more
2016Neuron133 citations Open access
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Robust and Scalable Bayes via a Median of Subset Posterior Measures
Stanislav Minsker, Sanvesh Srivastava, Li-Zhen Lin, D. Dunson
2014Journal of machine learning research117 citations
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Scalable and Robust Bayesian Inference via the Median Posterior
Stanislav Minsker, Sanvesh Srivastava, Li-Zhen Lin, D. Dunson
2014International Conference on Machine Learning104 citations
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Extrinsic local regression on manifold-valued data
Li-Zhen Lin, Brian St. Thomas, Hong-Tu Zhu, D. Dunson
2015Journal of the American Statistical Association77 citations Open access
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Averages of unlabeled networks: Geometric characterization and asymptotic behavior
E. Kolaczyk, Li-Zhen Lin, S. Rosenberg, Jackson Walters +1 more
2017Annals of Statistics66 citations Open access
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Optimization of Graph Neural Networks with Natural Gradient Descent
M. Izadi, Yihao Fang, R. Stevenson, Li-Zhen Lin
20202020 IEEE International Conference on Big Data (Big Data)62 citations Open access
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Intrinsic Gaussian processes on complex constrained domains
Mu Niu, P. Cheung, Li-Zhen Lin, Zhen-Wen Dai +2 more
2018Journal of The Royal Statistical Society Series B-statistical Methodology48 citations Open access
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Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks
M. Paez, A. Amini, Li-Zhen Lin
2019Bayesian Analysis46 citations Open access
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Extrinsic Gaussian Processes for Regression and Classification on Manifolds
Li-Zhen Lin, Niu Mu, P. Cheung, D. Dunson
2017Bayesian Analysis46 citations Open access
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On clustering network-valued data
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Li-Zhen Lin
2016Neural Information Processing Systems45 citations
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Change-point detection in dynamic networks via graphon estimation
Zi-Feng Zhao, Li Chen, Li-Zhen Lin
201936 citations
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A Course in Mathematical Statistics and Large Sample Theory
R. Bhattacharya, Li-Zhen Lin, Vic Patrangenaru
201632 citations
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Minimax posterior convergence rates and model selection consistency in high-dimensional DAG models based on sparse Cholesky factors
Kyoungjae Lee, Jaeyong Lee, Li-Zhen Lin
2018Annals of Statistics31 citations Open access
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Data augmentation for models based on rejection sampling
Vinayak A. Rao, Li-Zhen Lin, D. Dunson
2014Biometrika31 citations Open access
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Hypothesis testing for populations of networks
Li Chen, Jie Zhou, Li-Zhen Lin
2019Communications in Statistics - Theory and Methods26 citations Open access
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Optimal Bayesian estimation of Gaussian mixtures with growing number of components
Ilsang Ohn, Li-Zhen Lin
2020Bernoulli25 citations Open access
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A likelihood approach to nonparametric estimation of a singular distribution using deep generative models
Minwoo Chae, Dongha Kim, Yongdai Kim, Li-Zhen Lin
2021Journal of machine learning research24 citations
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Adaptive variational Bayes: Optimality, computation and applications
Ilsang Ohn, Li-Zhen Lin
2021Annals of Statistics22 citations Open access
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Rat intersubjective decisions are encoded by frequency‐specific oscillatory contexts
Jana Schaich Borg, Sanvesh Srivastava, Li-Zhen Lin, Joseph Heffner +3 more
2017Brain and Behavior17 citations Open access
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Bayesian sparse linear regression with unknown symmetric error
Minwoo Chae, Li-Zhen Lin, D. Dunson
2016Information and Inference A Journal of the IMA17 citations Open access
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Flexible Link Functions in Nonparametric Binary Regression with Gaussian Process Priors
Dan Li, Xia Wang, Li-Zhen Lin, D. Dey
2015Biometrics17 citations Open access
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Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
Rong Tang, Li-Zhen Lin, Yun Yang
2024International Conference on Learning Representations16 citations
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Bayesian community detection for networks with covariates
Luyi W. Shen, A. Amini, Nathaniel Josephs, Li-Zhen Lin
2022Bayesian Analysis16 citations Open access
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Neural-PDE: a RNN based neural network for solving time dependent PDEs
Yihao Hu, Tong Zhao, Shi-Xin Xu, Li-Zhen Lin +1 more
2020Communications in Information and Systems16 citations Open access
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Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome
Nathaniel Josephs, Li-Zhen Lin, S. Rosenberg, E. Kolaczyk
2020Annals of Applied Statistics14 citations Open access
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Robustness Against Adversarial Attacks in Neural Networks Using Incremental Dissipativity
B. Aquino, Arash Rahnama, Peter J. Seiler, Li-Zhen Lin +1 more
2021IEEE Control Systems Letters11 citations Open access
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Asymptotically Corrected Person Fit Statistics for Multidimensional Constructs with Simple Structure and Mixed Item Types
Maxwell R. Hong, Li-Zhen Lin, Ying Cheng
2020Psychometrika11 citations Open access
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Emerging Directions in Bayesian Computation
Steven Winter, Trevor Campbell, Li-Zhen Lin, Sanvesh Srivastava +1 more
2024Statistical Science10 citations
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Training Graph Neural Networks by Graphon Estimation
Zi-Qing Hu, Yi-Hao Fang, Li-Zhen Lin
20212021 IEEE International Conference on Big Data (Big Data)9 citations Open access
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Scale and curvature effects in principal geodesic analysis
Drew Lazar, Li-Zhen Lin
2016Journal of Multivariate Analysis9 citations Open access
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Nonparametric Benchmark Dose Estimation with Continuous Dose‐Response Data
Li-Zhen Lin, W. Piegorsch, R. Bhattacharya
20159 citations
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Nested stochastic block model for simultaneously clustering networks and nodes
Nathaniel Josephs, A. Amini, M. Paez, Li-Zhen Lin
2023arXiv.org8 citations Open access
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Accelerated algorithms for convex and non-convex optimization on manifolds
Li-Zhen Lin, B. Saparbayeva, M. Zhang, D. Dunson
2020Machine-mediated learning8 citations Open access
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Flow Matching is Adaptive to Manifold Structures
Shivam Kumar, Yixin Wang, Li-Zhen Lin
2026arXiv.org7 citations
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Intrinsic and extrinsic deep learning on manifolds
Yi-Zheng Fang, Ilsang Ohn, Vijay Gupta, Li-Zhen Lin
2023Electronic Journal of Statistics7 citations Open access
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NONPARAMETRIC INFERENCE ON NON-EUCLIDEAN SPACES
R. Bhattacharya, Li-Zhen Lin
20157 citations
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Learning Subspaces of Different Dimensions
Brian St. Thomas, Kisung You, Li-Zhen Lin, Lek-Heng Lim +1 more
2014Journal of Computational And Graphical Statistics7 citations
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Machine Learning and the Future of Bayesian Computation
Steven Winter, Trevor Campbell, Li-Zhen Lin, Sanvesh Srivastava +1 more
2023arXiv.org6 citations Open access
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A topological characterization of DNA sequences based on chaos geometry and persistent homology
Dong Quan Ngoc Nguyen, Phuong Dong Tan Le, Lin Xing, Li-Zhen Lin
2021bioRxiv6 citations Open access
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Exact slice sampler for Hierarchical Dirichlet Processes
A. Amini, M. Paez, Li-Zhen Lin, Zahra S. Razaee
2019arXiv.org6 citations
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Robust and parallel Bayesian model selection
M. Zhang, H. Lam, Li-Zhen Lin
2016Computational Statistics & Data Analysis6 citations Open access
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On posterior consistency of tail index for Bayesian kernel mixture models
Cheng Li, Li-Zhen Lin, D. Dunson
2015Bernoulli6 citations Open access
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Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee, Li-Zhen Lin, Jaewook Park, Seonghyun Jeong
2025Neural Information Processing Systems5 citations
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Bayesian nonparametric latent class analysis with different item types.
Meng Qiu, Sally Paganin, Ilsang Ohn, Li-Zhen Lin
2025Psychological methods5 citations Open access
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A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks
Forough Fazeli-Asl, M. Zhang, Li-Zhen Lin
2023Trans. Mach. Learn. Res.5 citations
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A Hypothesis Testing for Large Weighted Networks With Applications to Functional Neuroimaging Data
Li Chen, Li-Zhen Lin, Jie Zhou
2020IEEE Access5 citations Open access
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Neural Time-Dependent Partial Differential Equation
Yihao Hu, Tong Zhao, Zhiliang Xu, Li-Zhen Lin
2020arXiv.org5 citations
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A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
Shivam Kumar, Yun Yang, Li-Zhen Lin
2024International Conference on Machine Learning4 citations
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Bayesian Nonparametric Latent Class Analysis for Different Item Types
Meng Qiu, S. Paganin, Ilsang Ohn, Li-Zhen Lin
2023Multivariate Behavioral Research4 citations Open access
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A Bayesian sparse factor model with adaptive posterior concentration
Ilsang Ohn, Li-Zhen Lin, Yongdai Kim
2023Bayesian Analysis4 citations Open access
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