
Microbiome subcommunity learning with logistictree normal latent Dirichlet allocation
Mixedmembership (MM) models such as Latent Dirichlet Allocation (LDA) h...
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OpenClinicalAI: enabling AI to diagnose diseases in realworld clinical settings
This paper quantitatively reveals the stateoftheart and stateofthe...
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AmplitudePhase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Recently, the generalization behavior of Convolutional Neural Networks (...
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Logistictree normal model for microbiome compositions
We introduce a probabilistic model, called the "logistictree normal" (L...
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Distillation based Multitask Learning: A Candidate Generation Model for Improving Reading Duration
In feeds recommendation, the first step is candidate generation. Most of...
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Tree boosting for learning probability measures
Learning probability measures based on an i.i.d. sample is a fundamental...
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Hidden Markov Pólya trees for highdimensional distributions
The Pólya tree (PT) process is a generalpurpose Bayesian nonparametric ...
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Dirichlettree multinomial mixtures for clustering microbiome compositions
A common routine in microbiome research is to identify reproducible patt...
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Privacypreserving collaborative machine learning on genomic data using TensorFlow
Machine learning (ML) methods have been widely used in genomic studies. ...
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Coarsened mixtures of hierarchical skew normal kernels for flow cytometry analyses
Flow cytometry (FCM) is the standard multiparameter assay used to measu...
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CARP: Compression through Adaptive Recursive Partitioning for Multidimensional Images
Fast and effective image compression for multidimensional images has be...
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Gflocking: Flocking Model Optimization based on Genetic Framework
Flocking model has been widely used to control robotic swarm. However, w...
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POI Semantic Model with a Deep Convolutional Structure
When using the electronic map, POI retrieval is the initial and importan...
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MultiFIT: A Multivariate Multiscale Framework for Independence Tests
We present a framework for testing independence between two random vecto...
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MultiFIT: Multivariate Multiscale Framework for Independence Tests
We present a framework for testing independence between two random vecto...
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Bayesian graphical compositional regression for microbiome data
An important task in microbiome studies is to test the existence of and ...
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Partition mixture of 1D wavelets for multidimensional data
Traditional statistical wavelet analysis that carries out modeling and i...
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Mixture modeling on related samples by ψstick breaking and kernel perturbation
There has been great interest recently in applying nonparametric kernel ...
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Efficient functional ANOVA through waveletdomain Markov groves
We introduce a waveletdomain functional analysis of variance (fANOVA) m...
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Li Ma
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