Faming Liang

Purdue University West Lafayette — United States

Mathematics · Physical Sciences

35h-index5.4kcitations242works1.12yr avg
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Research Topics

Markov Chains and Monte Carlo Methods(59), Bayesian Methods and Mixture Models(47), Statistical Methods and Inference(44), Gene expression and cancer classification(30), Neural Networks and Applications(29)

Publications242 total

Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation
arXiv (Cornell University)·2025Open Access
Sparse Graphical Models for High‐Dimensional Data
Wiley StatsRef: Statistics Reference Online·2025
Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling
arXiv (Cornell University)·2025Open Access
Uncertainty Quantification for Large-Scale Deep Neural Networks via Post-StoNet Modeling
Statistica Sinica·2025Open Access
Extended fiducial inference for individual treatment effects via deep neural networks
Statistics and Computing·2025Open Access
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
arXiv (Cornell University)·2025Open Access
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior
Journal of Data Science·2024· 1 citedOpen Access
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior
arXiv (Cornell University)·2024Open Access
Extended fiducial inference: toward an automated process of statistical inference
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2024· 4 citedOpen Access
Extended Fiducial Inference: Toward an Automated Process of Statistical Inference
arXiv (Cornell University)·2024Open Access
Deep network embedding with dimension selection
Neural Networks·2024· 1 citedOpen Access
Analysis and Comparison of Two Virtual Synchronous Control Strategies with and without Current Inner Loop of Doubly-Fed Induction Generator to Power Grid Strength Adaptability
2024
Time‐varying dynamic Bayesian network learning for an fMRI study of emotion processing
Statistics in Medicine·2024· 8 citedOpen Access
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
arXiv (Cornell University)·2024Open Access
Fast Value Tracking for Deep Reinforcement Learning
arXiv (Cornell University)·2024· 1 citedOpen Access
A double regression method for graphical modeling of high-dimensional nonlinear and non-Gaussian data
Statistics and Its Interface·2024· 2 citedOpen Access
A Robust and High Accurate Method for Hand Kinematics Decoding from Neural Populations
Lecture notes in computer science·2023
An extended Langevinized ensemble Kalman filter for non-Gaussian dynamic systems
Computational Statistics·2023Open Access
Sparse Deep Learning for Time Series Data: Theory and Applications
arXiv (Cornell University)·2023· 2 citedOpen Access
Non-reversible Parallel Tempering for Deep Posterior Approximation
Proceedings of the AAAI Conference on Artificial Intelligence·2023Open Access
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Frequent Co-authors

Qifan Song(9), Wing Hung Wong(7), Jun S. Liu(4), Chuanhai Liu(3), Raymond J. Carroll(3), Guanghua Xiao(3), Yichen Cheng(3), Xuesong Zhang(2), Qizhai Li(2), Guang Lin(2), Jian Zhang(2), Bochao Jia(2), Jianhua Huang(1), Xin Luo(1), Xiao Zang(1), Lin Yang(1), Junzhou Huang(1), Jaime Rodriguez‐Canales(1), Ignacio I. Wistuba(1), Adi F. Gazdar(1)