Publications

Identification of significant gene expression changes in multiple perturbation experiments using knockoffs

Population quantiles are important parameters in many applications. Enthusiasm for the development of effective statistical inference …
Tingting Zhao, Guangyu Zhu, Harsh Vardhan Dubey, Patrick Flaherty
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Deep bayesian unsupervised lifelong learning

Lifelong Learning (LL) refers to the ability to continually learn and solve new problems with incremental available information over …
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer Dy
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Improved prediction of smoking status via isoform-aware RNA-seq deep learning models

Most predictive models based on gene expression data do not leverage information related to gene splicing, despite the fact that …
Zifeng Wang, Aria Masoomi, Zhonghui Xu, Adel Boueiz, Sool Lee, Tingting Zhao, Russell Bowler, Michael Cho, Edwin K Silverman, Craig Hersh, others
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Analysis of high-dimensional continuous time Markov chains using the local bouncy particle sampler

Sampling the parameters of high-dimensional Continuous Time Markov Chains (CTMC) is a challenging problem with important applications …
Tingting Zhao, Alexandre Bouchard-Côté
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Deep-gKnock: Nonlinear group-feature selection with deep neural networks

Feature selection is central to contemporary high-dimensional data analysis. Group structure among features arises naturally in various …
Guangyu Zhu, Tingting Zhao
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Instance-wise feature grouping

In many learning problems, the domain scientist is often interested in discovering the groups of features that are redundant and are …
Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter Castaldi, Jennifer Dy
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Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the US

This paper conducts an empirical study on the interest rate behavior of monetary authorities in China and the United States. First, by …
Dayu Liu, Ning Xu, Tingting Zhao, Yang Song
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Bayesian analysis of continuous time Markov chains with application to phylogenetic modelling

Bayesian analysis of continuous time, discrete state space time series is an important and challenging problem, where incomplete …
Tingting Zhao, Ziyu Wang, Alexander Cumberworth, Joerg Gsponer, Nando de Freitas, Alexandre Bouchard-Côté
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Study on RMB number recognition based on genetic algorithm artificial neural network

BP artificial neural network based on genetic algorithm training method was proposed in this paper to solving Renminbi (RMB) number …
Ting-ting Zhao, Ji-yin Zhao, Rui-rui Zheng, Lu-lu Zhang
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The Interpolation Arithmetic Study of Medical Image Based on the Order Morphology

Abstract The interpolation method of medical image is the key technology in domain of 3-d reconstruction of medical image.In this …
Yan-Lei Xu, Ji-Yin Zhao, Min Li, Ting-Ting Zhao
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