Faming Liang

MathematicsComputer ScienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 19 papers. Top paper: “Markov Neighborhood Regression for High-Dimensional Inference”.

Markov Neighborhood Regression for High-Dimensional Inference

Journal of the American Statistical Association(2020)10.1080/01621459.2020.1841646

N/A

0DataRank · unranked

13 citations

Jingnan Xue, Bochao Jia, Faming Liang

Intrinsic Regression Models for Medial Representation of Subcortical Structures

UNC Libraries(2020)10.17615/8kmt-z098

N/A

0DataRank · unranked

0 citations

Martin Styner, Hongtu Zhu, Joseph G. Ibrahim, Faming Liang, Xiaoyan Shi +1 more

Learning sparse deep neural networks with a spike-and-slab prior

Statistics & Probability Letters(2021)10.1016/j.spl.2021.109246

N/A

0DataRank · unranked

14 citations

Qifan Song, Faming Liang, Yan Sun

An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization

Statistics and Computing(2022)10.1007/s11222-022-10120-3

N/A

0DataRank · unranked

9 citations

Guang Lin, Faming Liang, Wei Deng

A Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Learning

Statistica Sinica(2022)10.5705/ss.202022.0172

N/A

0DataRank · unranked

1 citations

Qifan Song, Faming Liang, Peiyi Zhang

A Kernel-Expanded Stochastic Neural Network

arXiv (Cornell University)(2022)10.48550/arxiv.2201.05319

N/A

0DataRank · unranked

0 citations

Faming Liang, Yan Sun

Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo

Bayesian Analysis(2023)10.1214/23-ba1364

N/A

0DataRank · unranked

1 citations

Faming Liang, Qian Zhang

A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules

Statistica Sinica(2023)10.5705/ss.202022.0404

N/A

0DataRank · unranked

0 citations

Qifan Song, Faming Liang, Sehwan Kim

A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules

arXiv (Cornell University)(2023)10.48550/arxiv.2306.13641

N/A

0DataRank · unranked

0 citations

Qifan Song, Faming Liang, Sehwan Kim

Non-reversible Parallel Tempering for Deep Posterior Approximation

Proceedings of the AAAI Conference on Artificial Intelligence(2023)10.1609/aaai.v37i6.25893

N/A

0DataRank · unranked

0 citations

Qian Zhang, Feng Qi, Faming Liang, Guang Lin, Wei Deng

An extended Langevinized ensemble Kalman filter for non-Gaussian dynamic systems

Computational Statistics(2023)10.1007/s00180-023-01443-4

N/A

0DataRank · unranked

0 citations

Tianning Dong, Faming Liang, Peiyi Zhang

Time‐varying dynamic Bayesian network learning for an fMRI study of emotion processing

Statistics in Medicine(2024)10.1002/sim.10096

N/A

0DataRank · unranked

10 citations

Aiying Zhang, Faming Liang, Lizhe Sun

Extended fiducial inference: toward an automated process of statistical inference

Journal of the Royal Statistical Society Series B (Statistical Methodology)(2024)10.1093/jrsssb/qkae082

N/A

0DataRank · unranked

6 citations

Sehwan Kim, Yan Sun, Faming Liang

Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior

Journal of Data Science(2024)10.6339/24-jds1156

N/A

0DataRank · unranked

1 citations

Yan Sun, Faming Liang, Mingxuan Zhang

Deep network embedding with dimension selection

Neural Networks(2024)10.1016/j.neunet.2024.106512

N/A

0DataRank · unranked

1 citations

Yan Sun, Faming Liang, Tianning Dong

Extended Fiducial Inference: Toward an Automated Process of Statistical Inference

arXiv (Cornell University)(2024)10.48550/arxiv.2407.21622

N/A

0DataRank · unranked

0 citations

Sehwan Kim, Yan Sun, Faming Liang

Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior

arXiv (Cornell University)(2024)10.48550/arxiv.2411.00969

N/A

0DataRank · unranked

0 citations

Yan Sun, Faming Liang, Mingxuan Zhang

Extended fiducial inference for individual treatment effects via deep neural networks

Statistics and Computing(2025)10.1007/s11222-025-10624-8

N/A

0DataRank · unranked

0 citations

Faming Liang, Sehwan Kim

Uncertainty Quantification for Large-Scale Deep Neural Networks via Post-StoNet Modeling

Statistica Sinica(2025)10.5705/ss.202024.0294

N/A

0DataRank · unranked

0 citations

Faming Liang, Yan Sun