Wenxin Jiang

发表

Bayesian Complex Network Community Detection Using Nonparametric Topic Model

Ruimin Zhu, Wenxin Jiang, Wenxin Jiang, 2018, COMPLEX NETWORKS.

On the Consistency of Bayesian Variable Selection for High Dimensional Binary Regression and Classification

Wenxin Jiang, 2006, Neural Computation.

Point Process Regression Models for Multiple Events with Random Effects and Measurement Error

B. W. Turnbull, Wenxin Jiang, L. C. Clark, 1997 .

On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models

Wenxin Jiang, Martin A. Tanner, M. Tanner, 2000, IEEE Trans. Inf. Theory.

From Mining Tinnitus Database to Tinnitus Decision-Support System, Initial Study

Zbigniew W. Ras, Cynthia Xin Zhang, Wenxin Jiang, 2007, IAT.

Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency

Wenxin Jiang, Martin A. Tanner, M. Tanner, 1999, AISTATS.

Including a Nugget Effect in Lifted Brownian Covariance Models

Daniel W. Apley, Wenxin Jiang, Ning Zhang, 2020, SIAM/ASA J. Uncertain. Quantification.

General Oracle Inequalities for Gibbs Posterior with Application to Ranking

Cheng Li, Wenxin Jiang, Martin A. Tanner, 2013, COLT.

Polyphonic Music Information Retrieval Based on Multi-label Cascade Classification System

Zbigniew W. Ras, Wenxin Jiang, Amanda Cohen, 2009, Advances in Information and Intelligent Systems.

The VC Dimension for Mixtures of Binary Classifiers

Wenxin Jiang, 2000, Neural Computation.

Using Cryptography For Privacy-Preserving Data Mining

Xin Zhang, Wenxin Jiang, Zbigniew W. Ras, 2008 .

Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments

Zbigniew W. Ras, Alicja Wieczorkowska, Wenxin Jiang, 2010, Advances in Music Information Retrieval.

Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome

Wei Zhang, Tao Gao, Zhou Zhang, 2017, BMC Bioinformatics.

Is regularization unnecessary for boosting?

Wenxin Jiang, Wenxin Jiang, 2001, AISTATS.

On Convergence Rates of Mixtures of Polynomial Experts

Wenxin Jiang, Eduardo F. Mendes, Eduardo F. Mendes, 2012, Neural Computation.

Cascade Classifiers for Hierarchical Decision Systems

Zbigniew W. Ras, Agnieszka Dardzinska, Wenxin Jiang, 2010, Advances in Machine Learning I.

Factorial Hidden Markov Models and the Generalized Backfitting Algorithm

Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner, 2002, Neural Computation.

Some Simple Formulas for Posterior Convergence Rates

Wenxin Jiang, 2014, International scholarly research notices.

On the identifiability of mixtures-of-experts

Wenxin Jiang, Martin A. Tanner, M. Tanner, 1999, Neural Networks.

On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models

Wenxin Jiang, Martin A. Tanner, M. Tanner, 1999, Neural Computation.

ggCyto: next generation open-source visualization software for cytometry

Greg Finak, Raphael Gottardo, Wenxin Jiang, 2018, Bioinform..

Multiple Classifiers for Different Features in Timbre Estimation

Zbigniew W. Ras, Cynthia Xin Zhang, Wenxin Jiang, 2010, Advances in Intelligent Information Systems.

Multi-label automatic indexing of music by cascade classifiers

Zbigniew W. Ras, Wenxin Jiang, Wenxin Jiang, 2013, Web Intell. Agent Syst..

From Mining Tinnitus Database to Tinnitus Decision-Support System, Initial Study

Xin Zhang, Wenxin Jiang, P. Thompson, 2007, 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07).

Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results

Wenxin Jiang, Martin A. Tanner, M. Tanner, 1998, UAI.

On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality

Wenxin Jiang, Wenxin Jiang, 2009, J. Mach. Learn. Res..

Harmonic Blind Sound Source Isolation Enhanced by Spectrum Clustering

Zbigniew W. Ras, Cynthia Xin Zhang, Wenxin Jiang, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Hierarchical Tree for Dissemination of Polyphonic Noise

Zbigniew W. Ras, Wenxin Jiang, Rory A. Lewis, 2008, RSCTC.

QUAliFiER: An automated pipeline for quality assessment of gated flow cytometry data

Greg Finak, Raphael Gottardo, Wenxin Jiang, 2012, BMC Bioinformatics.

Music Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match

Zbigniew W. Ras, Alicja Wieczorkowska, Wenxin Jiang, 2009, Foundations of Computational Intelligence.

A Bayesian probit model with spatially varying coefficients for brain decoding using fMRI data

Wenxin Jiang, Fengqing Zhang, Patrick Wong, 2016, Statistics in medicine.

Generalized Gini Correlation and its Application in Data-Mining

Yi Gao, Wenxin Jiang, Martin A. Tanner, 2016, Data Mining and Knowledge Discovery.

Model Selection for Likelihood-free Bayesian Methods Based on Moment Conditions: Theory and Numerical Examples

Cheng Li, Wenxin Jiang, Wenxin Jiang, 2014 .

Predicting Panel Data Binary Choice with the Gibbs Posterior

Wenxin Jiang, Lili Yao, Martin A. Tanner, 2011, Neural Computation.

Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification

Wenxin Jiang, 2000, Multiple Classifier Systems.

Report of the ISMIS 2011 Contest: Music Information Retrieval

Bozena Kostek, Zbigniew W. Ras, Wenxin Jiang, 2011, ISMIS.

Some Theoretical Aspects of Boosting in the Presence of Noisy Data

Wenxin Jiang, Wenxin Jiang, 2001, ICML.

Mining Scalar Representations in a Non-tagged Music Database

Zbigniew W. Ras, Wenxin Jiang, Rory A. Lewis, 2008, ISMIS.

Blind Music Timbre Source Isolation by Multi- resolution Comparison of Spectrum Signatures

Zbigniew W. Ras, Cynthia Xin Zhang, Wenxin Jiang, 2010, RSCTC.

Boosting with Noisy Data: Some Views from Statistical Theory

Wenxin Jiang, Wenxin Jiang, 2004, Neural Computation.

Statistical Formulas for F Measures pdf

Wenxin Jiang, 2020, ArXiv.

OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis

Greg Finak, Raphael Gottardo, Jacob Frelinger, 2014, PLoS Comput. Biol..

A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference

Wenxin Jiang, Yang Ge, Wenxin Jiang, 2006, ICML.

On the sure screening property of the iterative sure independence screening algorithm

Ning Zhang, Wenxin Jiang, Yuting Lan, 2018 .

On Consistency of Bayesian Inference with Mixtures of Logistic Regression

Wenxin Jiang, Yang Ge, Wenxin Jiang, 2006, Neural Computation.

Parameterization and inference for nonparametric regression problems

Wenxin Jiang, Victor Kipnis, Douglas Midthune, 2001 .

Consistent model selection based on parameter estimates

Wenxin Jiang, Xiangyang Liu, 2004 .

Semiparametric Regression Models for Repeated Events with Random Effects and Measurement Error

Bruce W. Turnbull, Wenxin Jiang, Larry C. Clark, 1999 .

On extensions of Hoeffding’s inequality for panel data

Wenxin Jiang, Lili Yao, 2012 .

Identification and visualization of multidimensional antigen‐specific T‐cell populations in polychromatic cytometry data

Greg Finak, Raphael Gottardo, Jacob Frelinger, 2015, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Posterior Consistency of Nonparametric Conditional Moment Restricted Models

Wenxin Jiang, Yuan Liao, Wenxin Jiang, 2010, 1105.4847.

Bayesian inference with mixtures of logistic regression: functional approximation, statistical consistency and algorithmic convergence

Wenxin Jiang, Yang Ge, 2008 .

Locally Adaptive Nonparametric Binary Regression

Robert Kohn, Wenxin Jiang, Sally Wood, 2007, 0709.3545.

Bayesian Analysis in Moment Inequality Models

Wenxin Jiang, Yuan Liao, 2010 .

ADAP-GC 2.0: deconvolution of coeluting metabolites from GC/TOF-MS data for metabolomics studies.

Yan Ni, Wei Jia, Wenxin Jiang, 2012, Analytical chemistry.

A note on some algorithms for the Gibbs posterior

Wenxin Jiang, Martin A. Tanner, Kun Chen, 2010 .

Model selection in spline nonparametric regression

Thomas S. Shively, Robert Kohn, Wenxin Jiang, 2002 .

On Weak Base Learners for Boosting Regression and Classiication on Weak Base Learners for Boosting Regression and Classiication

Wenxin Jiang, 2007 .