Feng Liang

Search results

• 2023

  Learning Topic Models: Identifiability and Finite-Sample Analysis

  Chen, Y., He, S., Yang, Y. & Liang, F., 2023, In: Journal of the American Statistical Association. 118, 544, p. 2860-2875 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Latent Topics 100%
  • Finite-sample Analysis 100%
  • Model Identifiability 100%
  • Identifiability 100%
  • Error Analysis 50%
• 2022

  An Ensemble EM Algorithm for Bayesian Variable Selection

  Wang, J., Ouyang, Y., Ji, Y. & Liang, F., Sep 2022, In: Bayesian Analysis. 17, 3, p. 879-900 22 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • EM Algorithm 100%
  • Bayesian Variable Selection 100%
  • Feature Selection 100%
  • MAP Estimator 28%
  • Bayesian Approach 25%

• BAYESIAN ESTIMATION OF GAUSSIAN CONDITIONAL RANDOM FIELDS

  Gan, L., Narisetty, N. N. & Liang, F., Jan 2022, In: Statistica Sinica. 32, 1, p. 131-152 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Bayesian Estimation 100%
  • Maximum a Posteriori Estimation 100%
  • Dependence Structure 100%
  • Gaussian Conditional Random Fields 100%
  • Gaussian Distribution 100%

• Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models

  Yin, W., Zhao, S. D. & Liang, F., Apr 2022, In: Lifetime Data Analysis. 28, 2, p. 282-318 37 p.

  Research output: Contribution to journal › Article › peer-review

  • Bivariate 100%
  • Accelerated Failure Time Model 100%
  • Censored Regression Model 100%
  • Bayesian 100%
  • Survival Data 75%
• 2021

  Complementary dimension reduction

  Cui, N., Hu, J. & Liang, F., Feb 2021, In: Statistical Analysis and Data Mining. 14, 1, p. 31-40 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Dimensionality Reduction 100%
  • Complementary Dimensions 100%
  • Objective Function 100%
  • Classification Accuracy 66%
  • Dimension Analysis 66%

• GemBag: Group estimation of multiple bayesian graphical models

  Yang, X., Gan, L., Narisetty, N. N. & Liang, F., 2021, In: Journal of Machine Learning Research. 22

  Research output: Contribution to journal › Article › peer-review

  • Bayesian Modeling 100%
  • Hierarchical Bayesian Model 100%
  • Sparsity Structure 100%
  • Group Estimation 100%
  • Sparsity 100%

• Machine learning for hydrologic sciences: An introductory overview

  Xu, T. & Liang, F., Sep 1 2021, In: Wiley Interdisciplinary Reviews: Water. 8, 5, e1533.

  Research output: Contribution to journal › Review article › peer-review

  • Introductory Overview 100%
  • Machine Learning 100%
  • Rain 100%
  • Small Sample Size 20%
  • Commercial Application 20%
• 2020

  A Sparse Latent Class Model for Cognitive Diagnosis

  Chen, Y., Culpepper, S. & Liang, F., Mar 1 2020, In: Psychometrika. 85, 1, p. 121-153 33 p.

  Research output: Contribution to journal › Article › peer-review

  • Cognitive Diagnosis 100%
  • Latent Class Model 100%
  • Cognitive Diagnose 100%
  • Identifiability 100%
  • Generic Identifiability 75%
• 2019

  Bayesian joint estimation of multiple graphical models

  Gan, L., Yang, X., Nariestty, N. N. & Liang, F., 2019, In: Advances in Neural Information Processing Systems. 32

  Research output: Contribution to journal › Conference article › peer-review

  • Joint Estimation 100%
  • Multiple Graphical Models 100%
  • Bayesian 100%
  • Graphical Model 100%
  • Simulation Study 50%

• Bayesian Regularization for Graphical Models With Unequal Shrinkage

  Gan, L., Narisetty, N. N. & Liang, F., Jul 3 2019, In: Journal of the American Statistical Association. 114, 527, p. 1218-1231 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Bayesian Regularization 100%
  • Maximum a Posteriori Estimation 100%
  • Graphical Models 100%
  • Bayesian 100%
  • Regularization 100%

• Impact of Building Design Parameters on Daylighting Metrics Using an Analysis, Prediction, and Optimization Approach Based on Statistical Learning Technique

  Lee, J., Boubekri, M. & Liang, F., Mar 10 2019, In: Sustainability. 11, 5, 21 p., 1474.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Design Parameters 100%
  • Optimization Approach 100%
  • Prediction Approach 100%
  • Building Design 100%
  • Statistical Learning Techniques 100%
• 2017

  Bayesian calibration of groundwater models with input data uncertainty

  Xu, T., Valocchi, A. J., Ye, M., Liang, F. & Lin, Y. F., Apr 1 2017, In: Water Resources Research. 53, 4, p. 3224-3245 22 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Bayesian Calibration 100%
  • Groundwater Model 100%
  • Input Data Uncertainty 100%
  • Groundwater Models 100%
  • Input Data 100%

• hnRNP I regulates neonatal immune adaptation and prevents colitis and colorectal cancer

  Jin, Z., Liang, F., Yang, J. & Mei, W., Mar 2017, In: PLoS genetics. 13, 3, e1006672.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Colorectal Cancer 100%
  • Colitis 100%
  • HnRNP 100%
  • Immune Adaptation 100%
  • Microorganism 100%

• Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data-driven error model

  Xu, T., Valocchi, A. J., Ye, M. & Liang, F., May 1 2017, In: Water Resources Research. 53, 5, p. 4084-4105 22 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Model Errors 100%
  • Error Model 100%
  • Groundwater Flow Modeling 100%
  • Bayesian Calibration 100%
  • Regional Groundwater Flow 100%
• 2014

  Discriminative Exemplar clustering

  Yang, Y., Liang, F. & Huang, T. S., 2014, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., p. 6771-6775 5 p. 6854911. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Exemplar-based Clustering 100%
  • Clustering Method 100%
  • Clustering Methods 83%
  • Generative Model 60%
  • Generative Models 50%

• On a theory of nonparametric pairwise similarity for clustering: Connecting clustering to classification

  Yang, Y., Liang, F., Yan, S., Wang, Z. & Huang, T. S., 2014, In: Advances in Neural Information Processing Systems. 1, January, p. 145-153 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Nonparametric 100%
  • Pairwise Similarity 100%
  • Data Point 100%
  • Pairwise Clustering 80%
  • Error Bound 66%

• PAC-Bayesian AUC classification and scoring

  Ridgway, J., Alquier, P., Chopin, N. & Liang, F., 2014, In: Advances in Neural Information Processing Systems. 1, January, p. 658-666 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Area under the Curve 100%
  • Curve Classification 100%
  • PAC-Bayesian 100%
  • Bayesian 100%
  • Score Function 66%

• User modeling in search logs via a nonparametric Bayesian approach

  Wang, H., Zhai, C. X., Liang, F., Dong, A. & Chang, Y., 2014, WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 203-212 10 p. (WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Search Logs 100%
  • User Modeling 100%
  • Nonparametric Bayesian Approach 100%
  • Search Intent 100%
  • Bayesian Approach 100%
• 2013

  A graph-based consensus maximization approach for combining multiple supervised and unsupervised models

  Gao, J., Liang, F., Fan, W., Sun, Y. & Han, J., 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 1, p. 15-28 14 p., 6035707.

  Research output: Contribution to journal › Article › peer-review

  • Graph-based 100%
  • Supervised Model 100%
  • Unsupervised Model 100%
  • Consensus Maximization 100%
  • Ensemble Learning 100%

• Kernel sliced inverse regression: Regularization and consistency

  Wu, Q., Liang, F. & Mukherjee, S., 2013, In: Abstract and Applied Analysis. 2013, 540725.

  Research output: Contribution to journal › Article › peer-review

  • Kernel Sliced Inverse Regression 100%
  • Regularization 100%
  • Stability Performance 50%
  • Generalization Performance 50%
  • Numerics 50%

• Learning locally-adaptive decision functions for person verification

  Li, Z., Chang, S., Liang, F., Huang, T. S., Cao, L. & Smith, J. R., 2013, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 3610-3617 8 p., 6619307.

  Research output: Contribution to journal › Conference article › peer-review

  • Decision Function 100%
  • Human Verification 100%
  • Adaptive Decision Making 100%
  • Verification Problem 100%
  • Locally Adaptive 100%

• New probabilistic galaxy classification in large photometric surveys

  Liang, F. & Brunner, R. J., 2013, Proceedings of Astronomical Data Analysis Software and Systems XXII.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2012

  Comment on article by Sancetta

  Liang, F., 2012, In: Bayesian Analysis. 7, 1, p. 45-46 2 p.

  Research output: Contribution to journal › Comment/debate › peer-review

• Comment on “Universality of Bayesian Prediction” by A. Sancetta

  Liang, F., 2012, In: Bayesian Analysis.

  Research output: Contribution to journal › Article › peer-review

• From Minimax Shrinkage Estimation to Minimax Shrinkage Prediction

  George, E. I., Liang, F. & Xu, X., Feb 2012, In: Statistical Science. 27, 1, p. 82-94 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Minimax 100%
  • Shrinkage Estimator 100%
  • Shrinkage Prediction 100%
  • Predictive Density 40%
  • Regression Estimator 40%

• Pairwise exemplar clustering

  Yang, Y., Chu, X., Liang, F. & Huang, T. S., 2012, AAAI-12 / IAAI-12 - Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference. p. 1204-1211 8 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Clustering Methods 100%
  • Exemplar-based Clustering 100%
  • Clustering Method 100%
  • Clustering 100%
  • Cluster Size 50%

• Pairwise Exemplar Clustering

  Yang, Y., Chu, X., Liang, F. & Huang, T. S., 2012, p. 1204-1211. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  • Clustering Methods 100%
  • Exemplar-based Clustering 100%
  • Clustering Method 100%
  • Cluster Size 50%
  • Number of Clusters 50%

• Permutation test for incomplete paired data with application to cDNA microarray data

  Yu, D., Lim, J., Liang, F., Kim, K., Kim, B. S. & Jang, W., Mar 1 2012, In: Computational Statistics and Data Analysis. 56, 3, p. 510-521 12 p.

  Research output: Contribution to journal › Article › peer-review

  • CDNA Microarray 100%
  • Permutation Test 100%
  • Microarray Data 100%
  • Paired Data 100%
  • Data Pair 100%

• Pooling robust shift-invariant sparse representations of acoustic signals

  Huang, P. S., Yang, J., Hasegawa-Johnson, M., Liang, F. & Huang, T. S., 2012, 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012. p. 2517-2520 4 p. (13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012; vol. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sparse Representation 100%
  • Shift-invariant 100%
  • Acoustic Signal 100%
  • Classification Task 100%
  • structure learning 100%

• Quality of information based data selection and transmission in wireless sensor networks

  Su, L., Hu, S., Li, S., Liang, F., Gao, J., Abdelzaher, T. F. & Han, J., 2012, Proceedings of the 2012 IEEE 33rd Real-Time Systems Symposium, RTSS 2012. p. 327-338 12 p. 6424815. (Proceedings - Real-Time Systems Symposium).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Information Quality 100%
  • Information-centric 100%
  • Data Transmission 100%
  • Wireless Sensor Networks 100%
  • Data Selection 100%

• Reno: Regularized non-parametric analysis of protein lysate array data

  Li, B., Liang, F., Hu, J. & He, X., May 2012, In: Bioinformatics. 28, 9, p. 1223-1229 7 p., bts131.

  Research output: Contribution to journal › Article › peer-review

  • Array Data 100%
  • Protein Concentration 100%
  • Non-parametric Analysis 100%
  • Reno 100%
  • Protein Lysates 100%
• 2010

  Asymptotic minimax risk of predictive density estimation for nonparametric regression

  Xu, X. & Liang, F., 2010, In: Bernoulli. 16, 2

  Research output: Contribution to journal › Article › peer-review

• Asymptotic minimax risk of predictive density estimation for non-parametric regression

  Xu, X. & Liang, F., May 2010, In: Bernoulli. 16, 2, p. 543-560 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Asymptotics 100%
  • Minimax 100%
  • Density Estimation 100%
  • Non-Parametric Regression 100%
  • Nonparametric Regression 100%

• Bayesian co-segmentation of multiple MR images

  Liang, F. & Xu, J., 2010, In: Statistics and its Interface.

  Research output: Contribution to journal › Article › peer-review

• Localized sliced inverse regression

  Wu, Q., Liang, F. & Mukherjee, S., Dec 2010, In: Journal of Computational and Graphical Statistics. 19, 4, p. 843-860 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Explanatory Variable 100%
  • Sliced Inverse Regression 100%
  • Supervised Learning 100%
  • Simulated Data 50%
  • Local Structure 50%

• On community outliers and their efficient detection in information networks

  Gaot, J., Liangt, F., Fan, W., Wangt, C., Sunt, Y. & Hant, J., 2010, KDD'10 - Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data. p. 813-822 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Efficient Detection 100%
  • Information Networks 100%
  • Information Network 100%
  • Networked Data 66%
  • Community Information 66%

• Supervised dimension reduction using Bayesian mixture modeling

  Mao, K., Liang, F. & Mukherjee, S., 2010, In: Journal of Machine Learning Research. 9, p. 501-508 8 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Unsupervised Dimensionality Reduction 100%
  • Bayesian Mixture Modeling 100%
  • Bayesian 100%
  • Modeling Approach 50%
  • Bayesian Framework 50%
• 2009

  Bayesian co-segmentation of multiple MR images

  Xu, J., Liang, F. & Gu, L., 2009, Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. p. 53-56 4 p. 5192981. (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Magnetic Resonance Imaging 100%
  • Co-segmentation 100%
  • segmentation algorithm 100%
  • Segmentation Algorithm 66%
  • Image Information 50%

• Bayesian function estimation using continuous wavelet dictionaries

  Chu, J. H., Clyde, M. A. & Liang, F., Oct 2009, In: Statistica Sinica. 19, 4, p. 1419-1438 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Function Estimation 100%
  • Wavelet Dictionaries 100%
  • Continuous Wavelet 100%
  • Wavelet 100%
  • Bayesian 100%

• FMRI analysis through bayesian variable selection with a spatial prior

  Xia, J., Liang, F. & Wang, Y. M., 2009, Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. p. 714-717 4 p. 5193147. (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Spatial Prior 100%
  • Activation Detection 100%
  • Bayesian Variable Selection 100%
  • FMRI Analysis 100%
  • Voxel 100%

• Graph-based consensus maximization among multiple supervised and unsupervised models

  Gao, J., Liang, F., Fan, W., Sun, Y. & Han, J., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. Neural Information Processing Systems, p. 585-593 9 p. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Graph-based 100%
  • Supervised Model 100%
  • Unsupervised Model 100%
  • Consensus Maximization 100%
  • Experimental Result 100%

• Heterogeneous feature machines for visual recognition

  Cao, L., Luo, J., Liang, F. & Huang, T. S., 2009, 2009 IEEE 12th International Conference on Computer Vision, ICCV 2009. p. 1095-1102 8 p. 5459401. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computer Vision 100%
  • Fast Algorithm 100%
  • Distance Metric 100%
  • Action Recognition 100%
  • Gradient Descent 100%

• Hierarchical Gaussianization for image classification

  Zhou, X., Cui, N., Liang, F. & Huang, T., 2009, Proceedings of the 12th IEEE International Conference on Computer Vision .

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Hierarchical Gaussianization for image classification

  Zhou, X., Cui, N., Li, Z., Liang, F. & Huang, T. S., 2009, 2009 IEEE 12th International Conference on Computer Vision, ICCV 2009. p. 1971-1977 7 p. 5459435. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image Classification 100%
  • Gaussianization 100%
  • Spatial Information 100%
  • Gaussian Mixture Model 100%
  • Spatial Data 66%

• Localized sliced inverse regression

  Wu, Q., Mukherjee, S. & Liang, F., 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. Neural Information Processing Systems, p. 1785-1792 8 p. (Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Estimation Accuracy 100%
  • Classification Problem 100%
  • Real Data Sets 100%
  • Unlabeled Data 100%
  • Subclasses 100%

• On clustering fMRI using potts and mixture regression models

  Xia, J., Liang, F. & Wang, Y. M., 2009, Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, p. 4795-4798 4 p. 5332641. (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Functional Magnetic Resonance Imaging 100%
  • Functional Networks 100%
  • Mixed Regression Models 100%
  • Experimental Result 100%
  • Clustering Method 100%

• On clustering fMRI using Potts and mixture regression models.

  Xia, J., Liang, F. & Wang, Y. M., Dec 1 2009, In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. p. 4795-4798 4 p.

  Research output: Contribution to journal › Article › peer-review

  • Functional Magnetic Resonance Imaging 100%
  • Functional Networks 100%
  • Mixed Regression Models 100%
  • Experimental Result 100%
  • Clustering Method 100%
• 2008

  Mixtures of g priors for Bayesian variable selection

  Liang, F., Paulo, R., Molina, G., Clyde, M. A. & Berger, J. O., Mar 2008, In: Journal of the American Statistical Association. 103, 481, p. 410-423 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Bayesian Variable Selection 100%
  • G-prior 100%
  • Empirical Bayes Procedure 50%
  • Bayes Approach 50%
  • Popular 33%
• 2007

  Characterizing the function space for bayesian kernel models

  Pillai, N. S., Wu, Q., Liang, F., Mukherjee, S. & Wolpert, R. L., Aug 2007, In: Journal of Machine Learning Research. 8, p. 1769-1797 29 p.

  Research output: Contribution to journal › Article › peer-review

  • Function Space 100%
  • Integral Operator 100%
  • Signed Measure 100%
  • Bayesian Kernel Model 100%
  • Bayesian 100%

• The use of unlabeled data in predictive modeling

  Liang, F., Mukherjee, S. & West, M., May 2007, In: Statistical Science. 22, 2, p. 189-205 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Predictive Modeling 100%
  • Unlabeled Data 100%
  • Structure 100%
  • Structural Properties 16%
  • Geometric Properties 16%